<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title/><link>https://cnardin.github.io/it/</link><atom:link href="https://cnardin.github.io/it/index.xml" rel="self" type="application/rss+xml"/><description/><generator>HugoBlox Kit (https://hugoblox.com)</generator><language>it-it</language><lastBuildDate>Mon, 24 Oct 2022 00:00:00 +0000</lastBuildDate><image><url>https://cnardin.github.io/media/icon_hu_2d2b1e39e19355d7.png</url><title/><link>https://cnardin.github.io/it/</link></image><item><title>Webinar IASSAR TC R3 — Integrating Structural Reliability and Resilience in Performance-Based (Earthquake) Engineering</title><link>https://cnardin.github.io/it/news/2026-iassar-webinar-reactis/</link><pubDate>Tue, 27 Oct 2026 00:00:00 +0000</pubDate><guid>https://cnardin.github.io/it/news/2026-iassar-webinar-reactis/</guid><description>
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&lt;div class="callout-title font-semibold mb-1"&gt;Webinar IASSAR TC R3&lt;/div&gt;
&lt;div class="callout-body"&gt;&lt;p&gt;Organizzato dal Comitato Tecnico IASSAR su Robust Reliability, Risk &amp;amp; Decision Analysis (TC R3).
TU Monaco di Baviera e online (Microsoft Teams) — &lt;strong&gt;29 ottobre 2026, ore 17:00 (CET, ora di Berlino)&lt;/strong&gt;.&lt;/p&gt;&lt;/div&gt;
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&lt;p&gt;Il Comitato Tecnico IASSAR su Robust Reliability, Risk &amp;amp; Decision Analysis (&lt;strong&gt;TC R3&lt;/strong&gt;) organizza un webinar su affidabilità strutturale e resilienza nell&amp;rsquo;ingegneria sismica, in cui il &lt;strong&gt;Prof. Marco Broccardo&lt;/strong&gt; (Università di Trento) presenterà il nostro lavoro sviluppato nell&amp;rsquo;ambito del
.&lt;/p&gt;
&lt;p&gt;🎤 &lt;strong&gt;Relatore:&lt;/strong&gt; Prof. Marco Broccardo (Università di Trento)
📌 &lt;strong&gt;Titolo:&lt;/strong&gt; &lt;em&gt;Integrating Structural Reliability and Resilience in Performance-Based (Earthquake) Engineering&lt;/em&gt;
🗓️ &lt;strong&gt;Data:&lt;/strong&gt; 29 ottobre 2026
🕔 &lt;strong&gt;Ora:&lt;/strong&gt; 17:00 (CET, ora di Berlino)
🎙️ &lt;strong&gt;Moderatore:&lt;/strong&gt; Prof. Daniel Straub&lt;/p&gt;
&lt;p&gt;📍 &lt;strong&gt;In presenza:&lt;/strong&gt; TU Monaco di Baviera, aula N3620, Engineering Risk Analysis Group, Theresienstr. 90, 80333 Monaco di Baviera, Germania
💻 &lt;strong&gt;Online:&lt;/strong&gt; su Microsoft Teams (link nell&amp;rsquo;annuncio degli organizzatori)&lt;/p&gt;
&lt;p&gt;Il webinar approfondirà l&amp;rsquo;integrazione di affidabilità strutturale e resilienza nella progettazione sismica prestazionale, un tema importante per migliorare la valutazione e la progettazione di sistemi ingegneristici più sicuri e resilienti. Colleghi, ricercatori e studenti interessati ad affidabilità strutturale, ingegneria sismica, resilienza e analisi del rischio sono invitati a partecipare in presenza o online.&lt;/p&gt;</description></item><item><title>A continuous-time Markovian framework for performance-based earthquake engineering: integrated seismic risk and resilience assessment</title><link>https://cnardin.github.io/it/publication/conferences/2026-rec-reactis/</link><pubDate>Sat, 01 Aug 2026 00:00:00 +0000</pubDate><guid>https://cnardin.github.io/it/publication/conferences/2026-rec-reactis/</guid><description>
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&lt;div class="callout-title font-semibold mb-1"&gt;Abstract&lt;/div&gt;
&lt;div class="callout-body"&gt;&lt;p&gt;La valutazione dell&amp;rsquo;affidabilità sismica dei sistemi strutturali richiede sempre più spesso modelli che rappresentino congiuntamente l&amp;rsquo;evoluzione del danno e il ripristino. Tuttavia, la formulazione tradizionale del PEER PBEE non coglie la dinamica temporale delle riparazioni post-evento, e le moderne analisi di affidabilità si basano spesso su dati di ripristino scarsi o incerti, il che richiede metodi trattabili. Riformuliamo il framework PEER PBEE con un approccio Monte Carlo basato su catene di Markov a tempo continuo (CTMC), che modella in modo naturale le transizioni probabilistiche tra stati di danno e di ripristino sotto pericolosità sismica invariante nel tempo. I tassi di transizione incorporano funzioni di fragilità dipendenti dallo stato basate su metamodelli e i processi di ripristino, fornendo una rappresentazione unitaria degli effetti della pericolosità e dell&amp;rsquo;evoluzione del sistema. Sfruttando le proprietà analitiche delle CTMC, calcoliamo statistiche di prestazione a regime, come il tempo medio al collasso e il tempo trascorso in stati degradati, e definiamo un indice di resilienza adattato dal classico indice di affidabilità β. L&amp;rsquo;approccio è testato su un esempio semplice ma rappresentativo, mostrando che il framework PBEE arricchito dalle CTMC coglie la progressione temporale dal danno al ripristino in modo computazionalmente efficiente e flessibile rispetto ai dati.&lt;/p&gt;&lt;/div&gt;
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&lt;/script&gt;</description></item><item><title>A generalized autoregressive model for time-variant dynamical systems</title><link>https://cnardin.github.io/it/publication/conferences/2026-rec-narx/</link><pubDate>Sat, 01 Aug 2026 00:00:00 +0000</pubDate><guid>https://cnardin.github.io/it/publication/conferences/2026-rec-narx/</guid><description>
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&lt;div class="callout-title font-semibold mb-1"&gt;Abstract&lt;/div&gt;
&lt;div class="callout-body"&gt;&lt;p&gt;Surrogate models are a staple tool for the reliability analysis of complex engineering systems, because they enable the use of otherwise computationally prohibitive algorithms, such as Monte-Carlo simulation. Their prevalence in the context of nonlinear dynamic engineering systems, however, is significantly lower, because approximating their time-dependent response is generally considered more challenging than for their static counterparts. A powerful class of surrogate models is provided by autoregressive with exogenous input models, but their use is mostly limited to system identification tasks, as they tend to underperform in pure prediction tasks. Recent advances in data-driven autoregressive modeling, have vastly improved their prediction capabilities for engineering applications, but they still rely on the assumption of time-invariant dynamics at the core of NARX. In this contribution we demonstrate how the mNARX+ framework can efficiently handle time-variant dynamical systems, such as, e.g., civil or mechanical structures subject to plastic damage or fatigue accumulation, making it an ideal tool for their reliability assessment.&lt;/p&gt;&lt;/div&gt;
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&lt;/script&gt;</description></item><item><title>WCCM-ECCOMAS 2026 — World Congress on Computational Mechanics</title><link>https://cnardin.github.io/it/news/2026-wccm-reactis/</link><pubDate>Fri, 24 Jul 2026 00:00:00 +0000</pubDate><guid>https://cnardin.github.io/it/news/2026-wccm-reactis/</guid><description>
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&lt;div class="callout-title font-semibold mb-1"&gt;WCCM-ECCOMAS 2026&lt;/div&gt;
&lt;div class="callout-body"&gt;&lt;p&gt;World Congress on Computational Mechanics — ECCOMAS Congress 2026.
Monaco di Baviera, Germania — &lt;strong&gt;19–24 luglio 2026&lt;/strong&gt;.&lt;/p&gt;&lt;/div&gt;
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&lt;p&gt;Una settimana molto intensa con la RSUQ Chair a &lt;strong&gt;WCCM-ECCOMAS 2026&lt;/strong&gt;.&lt;/p&gt;
&lt;p&gt;Il congresso è stato un&amp;rsquo;occasione unica per presentare le nostre ricerche più recenti all&amp;rsquo;incrocio tra &lt;strong&gt;quantificazione dell&amp;rsquo;incertezza, affidabilità, modellazione stocastica, inferenza bayesiana e meccanica computazionale&lt;/strong&gt;. Siamo stati orgogliosi di contribuire con cinque presentazioni su diversi aspetti del nostro lavoro.&lt;/p&gt;
&lt;h2 id="contributi"&gt;Contributi&lt;/h2&gt;
&lt;p&gt;🔹 &lt;strong&gt;S. Marelli, S. Schär, C. Nardin &amp;amp; B. Sudret&lt;/strong&gt; — &lt;em&gt;Reliability analysis on dynamical systems using manifold-autoregressive surrogate models&lt;/em&gt;
La keynote di Stefano ha presentato &lt;strong&gt;mNARX+&lt;/strong&gt;, un framework basato sui dati per modellare sistemi dinamici complessi con stati interni e danneggiamento in evoluzione, che permette un&amp;rsquo;analisi di affidabilità efficiente di sistemi con comportamento non stazionario.&lt;/p&gt;
&lt;p&gt;🔹 &lt;strong&gt;C. Nardin, S. Marelli, M. Broccardo &amp;amp; B. Sudret&lt;/strong&gt; — &lt;em&gt;A Continuous Markov-Chain Perspective on Joint Seismic Reliability and Resilience Assessment&lt;/em&gt;
In questo lavoro ho introdotto le &lt;strong&gt;catene di Markov a tempo continuo&lt;/strong&gt; nel framework PEER-PBEE, offrendo una prospettiva unitaria per modellare sia il danneggiamento sia i processi di ripristino e per valutare in modo coerente affidabilità e resilienza sismica.&lt;/p&gt;
&lt;p&gt;🔹 &lt;strong&gt;A. Herr, S. Marelli &amp;amp; B. Sudret&lt;/strong&gt; — &lt;em&gt;Introducing Stochastic Emulators for Hierarchical Bayesian Inference of Population Parameters&lt;/em&gt;
Anna ha presentato un nuovo approccio basato su &lt;strong&gt;emulatori stocastici&lt;/strong&gt; che approssima direttamente le risposte a livello di popolazione, riducendo il costo computazionale dell&amp;rsquo;inferenza bayesiana gerarchica per modelli costosi e stocastici.&lt;/p&gt;
&lt;p&gt;🔹 &lt;strong&gt;S. Marelli, S. Schär &amp;amp; B. Sudret&lt;/strong&gt; — &lt;em&gt;UQLab – An Open-Source Tool for Uncertainty Quantification with Dynamical Systems&lt;/em&gt;
Stefano ha illustrato le funzionalità più recenti di &lt;strong&gt;UQLab&lt;/strong&gt;, tra cui il supporto a serie temporali, sistemi dinamici e metamodelli avanzati basati sui dati come &lt;strong&gt;PC-NARX, F-NARX e mNARX+&lt;/strong&gt;.&lt;/p&gt;
&lt;p&gt;🔹 &lt;strong&gt;Moustapha&lt;/strong&gt; — &lt;em&gt;Reliability-Based Design Optimization with Stochastic Emulators&lt;/em&gt;
Il lavoro di Moustapha sulla &lt;strong&gt;RBDO&lt;/strong&gt; ha mostrato come gli emulatori stocastici possano essere un&amp;rsquo;alternativa efficiente ai classici metamodelli deterministici, in particolare per spazi di incertezza ad alta dimensione e simulatori intrinsecamente stocastici.&lt;/p&gt;
&lt;p&gt;Nel loro insieme, questi contributi riflettono la visione di ricerca della Chair: sviluppare metodi computazionali efficienti, scalabili e affidabili per la quantificazione dell&amp;rsquo;incertezza e per decisioni informate sul rischio, collegando gli sviluppi metodologici di base ad applicazioni ingegneristiche impegnative.&lt;/p&gt;
&lt;p&gt;Complimenti a tutti gli autori e relatori per l&amp;rsquo;ottimo lavoro, e grazie agli organizzatori di &lt;strong&gt;WCCM-ECCOMAS 2026&lt;/strong&gt; per aver riunito una comunità scientifica così vivace. È stato un piacere incontrare colleghi vecchi e nuovi, discutere nuove idee e vedere le comunità della UQ e della meccanica computazionale riunite in un congresso così grande.&lt;/p&gt;
&lt;h2 id="abstract"&gt;Abstract&lt;/h2&gt;
&lt;p&gt;C. Nardin, S. Marelli, M. Broccardo &amp;amp; B. Sudret —
&lt;strong&gt;A Continuous Markov-Chain Perspective on Joint Seismic Reliability and Resilience Assessment&lt;/strong&gt;
&lt;em&gt;WCCM-ECCOMAS 2026&lt;/em&gt;, Monaco di Baviera, luglio 2026.&lt;/p&gt;
&lt;p&gt;
&lt;/p&gt;
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&lt;p&gt;
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&lt;div class="flex justify-center "&gt;
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&lt;img alt="La RSUQ Chair a WCCM-ECCOMAS 2026, Monaco di Baviera"
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width="572"
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loading="lazy" data-zoomable /&gt;&lt;/div&gt;
&lt;/div&gt;&lt;/figure&gt;
&lt;em&gt;La RSUQ Chair a WCCM-ECCOMAS 2026, Monaco di Baviera — luglio 2026.&lt;/em&gt;&lt;/p&gt;</description></item><item><title>CSM9 — 9th International Conference on Computational Stochastic Mechanics</title><link>https://cnardin.github.io/it/news/2026-csm-reactis/</link><pubDate>Thu, 25 Jun 2026 00:00:00 +0000</pubDate><guid>https://cnardin.github.io/it/news/2026-csm-reactis/</guid><description>
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&lt;div class="callout-title font-semibold mb-1"&gt;CSM9 2026&lt;/div&gt;
&lt;div class="callout-body"&gt;&lt;p&gt;9th International Conference on Computational Stochastic Mechanics, sotto l&amp;rsquo;egida di IASSAR.
Corfù, Grecia — &lt;strong&gt;21–25 giugno 2026&lt;/strong&gt;.&lt;/p&gt;&lt;/div&gt;
&lt;/div&gt;
&lt;/div&gt;
&lt;p&gt;La settimana scorsa ho avuto il piacere di partecipare alla mia prima conferenza &lt;strong&gt;Computational Stochastic Mechanics (CSM9)&lt;/strong&gt; a Corfù, organizzata magnificamente da Jianbing Chen, Ioannis Kougioumtzoglou e Antonina Pirrotta.&lt;/p&gt;
&lt;p&gt;Il formato a sessione unica ha davvero favorito discussioni significative: è stato più facile seguire le presentazioni, scambiare idee e conoscere ricercatori da tutto il mondo. Ho apprezzato in particolare le tante conversazioni e discussioni stimolanti che hanno reso questa conferenza un&amp;rsquo;esperienza così arricchente.&lt;/p&gt;
&lt;p&gt;Ringrazio sinceramente i miei supervisori, Marco Broccardo, Bruno Sudret e Stefano Marelli, per avermi dato l&amp;rsquo;opportunità di partecipare a questa conferenza e di presentare il nostro primo lavoro, &amp;ldquo;&lt;strong&gt;Reliability and Resilience Assessment via Spectral Properties of Continuous-Time Markov Chains&lt;/strong&gt;&amp;rdquo;, sviluppato nell&amp;rsquo;ambito del
.&lt;/p&gt;
&lt;p&gt;È stata una prima esperienza al CSM davvero stimolante, e non vedo l&amp;rsquo;ora di partecipare alle prossime edizioni!&lt;/p&gt;
&lt;h2 id="book-of-abstracts"&gt;Book of Abstracts&lt;/h2&gt;
&lt;p&gt;C. Nardin, S. Marelli, M. Broccardo &amp;amp; B. Sudret —
&lt;strong&gt;Reliability and Resilience Assessment via Spectral Properties of Continuous-Time Markov Chains&lt;/strong&gt;
&lt;em&gt;CSM9 — 9th International Conference on Computational Stochastic Mechanics&lt;/em&gt;, Corfù, giugno 2026.&lt;/p&gt;
&lt;p&gt;
&lt;/p&gt;
&lt;hr&gt;
&lt;p&gt;
&lt;figure &gt;
&lt;div class="flex justify-center "&gt;
&lt;div class="w-full" &gt;
&lt;img alt="I partecipanti alla conferenza CSM9, Corfù"
srcset="https://cnardin.github.io/news/2026-csm-reactis/featured_hu_54fedb28ba35113e.webp 320w, https://cnardin.github.io/news/2026-csm-reactis/featured_hu_7f4010e4f08af56b.webp 480w, https://cnardin.github.io/news/2026-csm-reactis/featured_hu_261076a5cbc42710.webp 760w"
sizes="(max-width: 480px) 100vw, (max-width: 768px) 90vw, (max-width: 1024px) 80vw, 760px"
src="https://cnardin.github.io/news/2026-csm-reactis/featured_hu_54fedb28ba35113e.webp"
width="760"
height="507"
loading="lazy" data-zoomable /&gt;&lt;/div&gt;
&lt;/div&gt;&lt;/figure&gt;
&lt;em&gt;I partecipanti alla conferenza CSM9, Corfù — giugno 2026.&lt;/em&gt;&lt;/p&gt;</description></item><item><title>WiDS Zurich 2026 — Poster e pitch: un framework generalizzato per la progettazione sismica prestazionale</title><link>https://cnardin.github.io/it/news/2026-wids-reactis/</link><pubDate>Fri, 12 Jun 2026 00:00:00 +0000</pubDate><guid>https://cnardin.github.io/it/news/2026-wids-reactis/</guid><description>
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&lt;/span&gt;
&lt;div class="callout-content dark:text-neutral-300"&gt;
&lt;div class="callout-title font-semibold mb-1"&gt;WiDS Zurich 2026&lt;/div&gt;
&lt;div class="callout-body"&gt;&lt;p&gt;Poster e pitch alla conferenza
— &lt;em&gt;The Future of Data Science: From Trends to Impact&lt;/em&gt;.
Swiss Re Center for Global Dialogue, Rüschlikon, Svizzera — 19 giugno 2026.&lt;/p&gt;&lt;/div&gt;
&lt;/div&gt;
&lt;/div&gt;
&lt;h2 id="articolo"&gt;Articolo&lt;/h2&gt;
&lt;p&gt;C. Nardin, S. Marelli, B. Sudret, M. Broccardo —
&lt;strong&gt;A generalized framework for performance-based earthquake engineering: integrated assessment of structural reliability and resilience&lt;/strong&gt;
&lt;em&gt;Preprint arXiv&lt;/em&gt;, maggio 2026.&lt;/p&gt;
&lt;p&gt;
 | 
&lt;/p&gt;
&lt;h2 id="poster"&gt;Poster&lt;/h2&gt;
&lt;p&gt;
&lt;/p&gt;</description></item><item><title>Metodologia per la valutazione del rischio sismico integrata coi processi di recupero delle strutture mediante stima delle incertezze</title><link>https://cnardin.github.io/it/publication/news/2025-ingenio-reactis/</link><pubDate>Wed, 14 Jan 2026 00:00:00 +0000</pubDate><guid>https://cnardin.github.io/it/publication/news/2025-ingenio-reactis/</guid><description>
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&lt;/span&gt;
&lt;div class="callout-content dark:text-neutral-300"&gt;
&lt;div class="callout-title font-semibold mb-1"&gt;ingenio&lt;/div&gt;
&lt;div class="callout-body"&gt;&lt;p&gt;Alla pagina e intervista su
: novita&amp;rsquo; dal convegno ANIDIS 2025.&lt;/p&gt;&lt;/div&gt;
&lt;/div&gt;
&lt;/div&gt;
&lt;div style="position: relative; padding-bottom: 56.25%; height: 0; overflow: hidden;"&gt;
&lt;iframe allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share; fullscreen" loading="eager" referrerpolicy="strict-origin-when-cross-origin" src="https://www.youtube.com/embed/VxinS4tY_Yw?autoplay=0&amp;amp;controls=1&amp;amp;end=0&amp;amp;loop=0&amp;amp;mute=0&amp;amp;start=0" style="position: absolute; top: 0; left: 0; width: 100%; height: 100%; border:0;" title="YouTube video"&gt;&lt;/iframe&gt;
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&lt;/span&gt;
&lt;div class="callout-content dark:text-neutral-300"&gt;
&lt;div class="callout-title font-semibold mb-1"&gt;Riferimenti&lt;/div&gt;
&lt;div class="callout-body"&gt;&lt;p&gt;Click the &lt;em&gt;Cite&lt;/em&gt; button above to copy &lt;em&gt;.bib&lt;/em&gt; publication metadata into your notes.&lt;br&gt;
or directly download here either the bibtex version:
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or the plain text one:
&lt;a href="https://cnardin.github.io/papers/2025-ANIDIS-Nardin-REACTIS.txt" target="_blank"&gt;Download Plain.txt&lt;/a&gt;&lt;/p&gt;&lt;/div&gt;
&lt;/div&gt;
&lt;/div&gt;</description></item><item><title>Bay-Fi: Approximate Bayesian main Frequency Identification for extremely undersampled signals</title><link>https://cnardin.github.io/it/publication/articles/2026-mssp-bayfi/</link><pubDate>Thu, 01 Jan 2026 00:00:00 +0000</pubDate><guid>https://cnardin.github.io/it/publication/articles/2026-mssp-bayfi/</guid><description>
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&lt;/span&gt;
&lt;div class="callout-content dark:text-neutral-300"&gt;
&lt;div class="callout-title font-semibold mb-1"&gt;Suggerimento&lt;/div&gt;
&lt;div class="callout-body"&gt;&lt;p&gt;Click the &lt;em&gt;Cite&lt;/em&gt; button above to copy &lt;em&gt;.bib&lt;/em&gt; publication metadata into your notes.&lt;/p&gt;&lt;/div&gt;
&lt;/div&gt;
&lt;/div&gt;</description></item><item><title>Bay-Fi preprint / working paper</title><link>https://cnardin.github.io/it/publication/preprints/</link><pubDate>Tue, 07 Oct 2025 00:00:00 +0000</pubDate><guid>https://cnardin.github.io/it/publication/preprints/</guid><description>&lt;p&gt;This work is driven by the results in my
on LLMs.&lt;/p&gt;
&lt;p&gt;#Add the publication&amp;rsquo;s &lt;strong&gt;full text&lt;/strong&gt; or &lt;strong&gt;supplementary notes&lt;/strong&gt; here. You can use rich formatting such as including
.&lt;/p&gt;
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&lt;/script&gt;</description></item><item><title>Adaptive regional seismic risk assessment under uncertainty: a case study in the Alto Garda area</title><link>https://cnardin.github.io/it/publication/conferences/2025-anidis-maers/</link><pubDate>Sun, 14 Sep 2025 00:00:00 +0000</pubDate><guid>https://cnardin.github.io/it/publication/conferences/2025-anidis-maers/</guid><description>
&lt;div class="callout flex px-4 py-3 mb-6 rounded-md border-l-4 bg-cyan-100 dark:bg-cyan-900 border-cyan-500"
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&lt;/span&gt;
&lt;div class="callout-content dark:text-neutral-300"&gt;
&lt;div class="callout-title font-semibold mb-1"&gt;Abstract&lt;/div&gt;
&lt;div class="callout-body"&gt;&lt;p&gt;A reliable national and regional risk assessment is essential for researchers, practitioners, and decision-makers. Seismic risk assessment is crucial for evaluating earthquake-induced damage to structures, infrastructure, and society. However, it cannot be effectively performed without properly managing uncertainty.
In this context, hazard models and vulnerability analysis are the two critical pillars that contribute most to improving risk management, infrastructure planning, and disaster response.
In this work, we present an adaptive risk assessment framework for the Alto Garda area, located in northern Italy. Leveraging newly available microzonation data and advanced hazard analysis within OpenQuake engine, the study achieves high spatial resolution at a local scale. Historical earthquake records, cadastral data, open-source maps, and satellite imagery are integrated to (i) compile a comprehensive building taxonomy and (ii) dynamically refine vulnerability models. Additionally, both aleatoric and epistemic uncertainties are carefully considered using a logic tree approach applied to both hazard and fragility analysis.
Moreover, an adaptive approach is implemented, meaning that as new information becomes available, updates are seamlessly integrated to enhance accuracy and refine models. By combining hazard and vulnerability maps, the study delivers a first semiquantitative risk evaluation for the region. This approach highlights the potential of adaptive methodologies in improving seismic
risk mitigation strategies and strengthening decision-making under uncertainty.&lt;/p&gt;&lt;/div&gt;
&lt;/div&gt;
&lt;/div&gt;
&lt;div class="callout flex px-4 py-3 mb-6 rounded-md border-l-4 bg-emerald-100 dark:bg-emerald-900 border-emerald-500"
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&lt;/span&gt;
&lt;div class="callout-content dark:text-neutral-300"&gt;
&lt;div class="callout-title font-semibold mb-1"&gt;Suggerimento&lt;/div&gt;
&lt;div class="callout-body"&gt;&lt;p&gt;Click the &lt;em&gt;Cite&lt;/em&gt; button above to copy &lt;em&gt;.bib&lt;/em&gt; publication metadata into your notes.&lt;br&gt;
or directly download here either the bibtex version:
&lt;a href="https://cnardin.github.io/papers/2025-ANIDIS-Nardin-MAERS.bib" target="_blank"&gt;Download BibTeX&lt;/a&gt;
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&lt;/div&gt;
&lt;/div&gt;
&lt;div class="scite-badge"
data-doi="doi.org/10.1016/j.prostr.2025.12.075"
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&lt;/script&gt;</description></item><item><title>UQ based state-dependent framework for recovery and seismic risk assessment</title><link>https://cnardin.github.io/it/publication/conferences/2025-anidis-reactis/</link><pubDate>Sun, 14 Sep 2025 00:00:00 +0000</pubDate><guid>https://cnardin.github.io/it/publication/conferences/2025-anidis-reactis/</guid><description>
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&lt;svg height="24" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"&gt;&lt;path fill="none" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.5" d="M9 12h3.75M9 15h3.75M9 18h3.75m3 .75H18a2.25 2.25 0 0 0 2.25-2.25V6.108c0-1.135-.845-2.098-1.976-2.192a48.424 48.424 0 0 0-1.123-.08m-5.801 0c-.065.21-.1.433-.1.664c0 .414.336.75.75.75h4.5a.75.75 0 0 0 .75-.75a2.25 2.25 0 0 0-.1-.664m-5.8 0A2.251 2.251 0 0 1 13.5 2.25H15a2.25 2.25 0 0 1 2.15 1.586m-5.8 0c-.376.023-.75.05-1.124.08C9.095 4.01 8.25 4.973 8.25 6.108V8.25m0 0H4.875c-.621 0-1.125.504-1.125 1.125v11.25c0 .621.504 1.125 1.125 1.125h9.75c.621 0 1.125-.504 1.125-1.125V9.375c0-.621-.504-1.125-1.125-1.125zM6.75 12h.008v.008H6.75zm0 3h.008v.008H6.75zm0 3h.008v.008H6.75z"/&gt;&lt;/svg&gt;
&lt;/span&gt;
&lt;div class="callout-content dark:text-neutral-300"&gt;
&lt;div class="callout-title font-semibold mb-1"&gt;Abstract&lt;/div&gt;
&lt;div class="callout-body"&gt;&lt;p&gt;Recovery processes and seismic risk assessment represent a critical and challenging frontier in engineering risk analysis under uncertainty. Despite growing attention, the problem remains inherently complex, shaped by nonlinear system behaviours and high-dimensional stochastic spaces. These difficulties are compounded by the limited availability and often confidential nature of recovery data, highlighting the urgent need for modelling approaches that are not only efficient, but also flexible enough to adapt to real-world constraints.
In this work, we introduce a novel framework that explicitly integrates recovery into state-dependent seismic risk assessment. The approach combines fragility modelling, recovery processes, and hazard evaluation into a cohesive structure, enabling holistic and reliable risk analysis. Designed for flexibility, the framework draws from the state-of-the-art in different disciplines, such as structural engineering, recovery modelling and probabilistic seismic modelling, and focuses on balancing adaptability and computational efficiency.
At the core of the methodology is a state-dependent seismic risk model that embeds recovery through a Continuous-Time Markov Chain (CTMC) framework. This enables the joint evaluation of damage progression and recovery over time. Spectral analysis of the reduced transition matrix allows for reliability-based metrics. The framework is applied to a full-scale industrial steel frame from the European SPIF project, tested under seismic loading at EUCENTRE, demonstrating its ability to capture resilience dynamics with computational efficiency.&lt;/p&gt;&lt;/div&gt;
&lt;/div&gt;
&lt;/div&gt;
&lt;div class="callout flex px-4 py-3 mb-6 rounded-md border-l-4 bg-emerald-100 dark:bg-emerald-900 border-emerald-500"
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&lt;/span&gt;
&lt;div class="callout-content dark:text-neutral-300"&gt;
&lt;div class="callout-title font-semibold mb-1"&gt;Suggerimento&lt;/div&gt;
&lt;div class="callout-body"&gt;&lt;p&gt;Click the &lt;em&gt;Cite&lt;/em&gt; button above to copy &lt;em&gt;.bib&lt;/em&gt; publication metadata into your notes.&lt;br&gt;
or directly download here either the bibtex version:
&lt;a href="https://cnardin.github.io/papers/2025-ANIDIS-Nardin-REACTIS.bib" target="_blank"&gt;Download BibTeX&lt;/a&gt;
or the plain text one:
&lt;a href="https://cnardin.github.io/papers/2025-ANIDIS-Nardin-REACTIS.txt" target="_blank"&gt;Download Plain.txt&lt;/a&gt;&lt;/p&gt;&lt;/div&gt;
&lt;/div&gt;
&lt;/div&gt;
&lt;div class="scite-badge"
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&lt;/script&gt;</description></item><item><title>UQ state-dependent framework for seismic fragility assessment of industrial components</title><link>https://cnardin.github.io/it/publication/articles/2025-ress-state-dependent/</link><pubDate>Mon, 01 Sep 2025 00:00:00 +0000</pubDate><guid>https://cnardin.github.io/it/publication/articles/2025-ress-state-dependent/</guid><description>
&lt;div class="callout flex px-4 py-3 mb-6 rounded-md border-l-4 bg-cyan-100 dark:bg-cyan-900 border-cyan-500"
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data-callout-metadata=""&gt;
&lt;span class="callout-icon pr-3 pt-1 text-cyan-600 dark:text-cyan-300"&gt;
&lt;svg height="24" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"&gt;&lt;path fill="none" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.5" d="M9 12h3.75M9 15h3.75M9 18h3.75m3 .75H18a2.25 2.25 0 0 0 2.25-2.25V6.108c0-1.135-.845-2.098-1.976-2.192a48.424 48.424 0 0 0-1.123-.08m-5.801 0c-.065.21-.1.433-.1.664c0 .414.336.75.75.75h4.5a.75.75 0 0 0 .75-.75a2.25 2.25 0 0 0-.1-.664m-5.8 0A2.251 2.251 0 0 1 13.5 2.25H15a2.25 2.25 0 0 1 2.15 1.586m-5.8 0c-.376.023-.75.05-1.124.08C9.095 4.01 8.25 4.973 8.25 6.108V8.25m0 0H4.875c-.621 0-1.125.504-1.125 1.125v11.25c0 .621.504 1.125 1.125 1.125h9.75c.621 0 1.125-.504 1.125-1.125V9.375c0-.621-.504-1.125-1.125-1.125zM6.75 12h.008v.008H6.75zm0 3h.008v.008H6.75zm0 3h.008v.008H6.75z"/&gt;&lt;/svg&gt;
&lt;/span&gt;
&lt;div class="callout-content dark:text-neutral-300"&gt;
&lt;div class="callout-title font-semibold mb-1"&gt;Abstract&lt;/div&gt;
&lt;div class="callout-body"&gt;&lt;p&gt;Recently, there has been increased interest in assessing the seismic fragility of industrial plants and process equipment. This is reflected in the growing number of studies, community-funded research projects and experimental campaigns on the matter. Nonetheless, the complexity of the problem and its inherent modelling, coupled with a general scarcity of available data on process equipment, has limited the development of risk assessment methods. In fact, these limitations have led to the creation of simplified and quick-to-run models. In this context, we propose an innovative framework for developing state-dependent fragility functions. This new methodology combines limited data with the power of metamodelling and statistical techniques, namely polynomial chaos expansions (PCE) and bootstrapping. Therefore, we validated the framework on a simplified and computationally efficient MDoF system endowed with Bouc–Wen hysteresis. Then, we tested it on a real nonstructural industrial process component. Specifically, we applied the state-dependent fragility framework to a critical vertical tank of a multicomponent full-scale 3D steel braced frame (BF). The seismic performance of the BF endowed with process components was captured by means of shake table campaign within the European SPIF project. Finally, we derived state-dependent fragility functions based on the combination of PCE and bootstrap at a greatly reduced computational cost.&lt;/p&gt;&lt;/div&gt;
&lt;/div&gt;
&lt;/div&gt;
&lt;div class="callout flex px-4 py-3 mb-6 rounded-md border-l-4 bg-emerald-100 dark:bg-emerald-900 border-emerald-500"
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&lt;svg height="24" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"&gt;&lt;path fill="none" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.5" d="M12 18v-5.25m0 0a6.01 6.01 0 0 0 1.5-.189m-1.5.189a6.01 6.01 0 0 1-1.5-.189m3.75 7.478a12.06 12.06 0 0 1-4.5 0m3.75 2.383a14.406 14.406 0 0 1-3 0M14.25 18v-.192c0-.983.658-1.823 1.508-2.316a7.5 7.5 0 1 0-7.517 0c.85.493 1.509 1.333 1.509 2.316V18"/&gt;&lt;/svg&gt;
&lt;/span&gt;
&lt;div class="callout-content dark:text-neutral-300"&gt;
&lt;div class="callout-title font-semibold mb-1"&gt;Suggerimento&lt;/div&gt;
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&lt;/div&gt;
&lt;div class="scite-badge" data-doi="10.1016/j.ress.2025.111067" data-layout="horizontal" data-show-zero="false" data-small="false" data-show-labels="true" data-tally-show="true"&gt;&lt;/div&gt;&lt;script async type="application/javascript" src="https://cdn.scite.ai/badge/scite-badge-latest.min.js"&gt;&lt;/script&gt;</description></item><item><title>Bayesian Approach for Main Frequency Identification on Extremely Under-Sampled Signals</title><link>https://cnardin.github.io/it/publication/conferences/2025-evaces-bayfi/</link><pubDate>Wed, 02 Jul 2025 00:00:00 +0000</pubDate><guid>https://cnardin.github.io/it/publication/conferences/2025-evaces-bayfi/</guid><description>
&lt;div class="callout flex px-4 py-3 mb-6 rounded-md border-l-4 bg-emerald-100 dark:bg-emerald-900 border-emerald-500"
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data-callout-metadata=""&gt;
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&lt;svg height="24" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"&gt;&lt;path fill="none" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.5" d="M12 18v-5.25m0 0a6.01 6.01 0 0 0 1.5-.189m-1.5.189a6.01 6.01 0 0 1-1.5-.189m3.75 7.478a12.06 12.06 0 0 1-4.5 0m3.75 2.383a14.406 14.406 0 0 1-3 0M14.25 18v-.192c0-.983.658-1.823 1.508-2.316a7.5 7.5 0 1 0-7.517 0c.85.493 1.509 1.333 1.509 2.316V18"/&gt;&lt;/svg&gt;
&lt;/span&gt;
&lt;div class="callout-content dark:text-neutral-300"&gt;
&lt;div class="callout-title font-semibold mb-1"&gt;Suggerimento&lt;/div&gt;
&lt;div class="callout-body"&gt;&lt;p&gt;Click the &lt;em&gt;Cite&lt;/em&gt; button above to copy &lt;em&gt;.bib&lt;/em&gt; publication metadata into your notes.&lt;/p&gt;&lt;/div&gt;
&lt;/div&gt;
&lt;/div&gt;</description></item><item><title>Fragility models for industrial equipment subjected to natural hazards</title><link>https://cnardin.github.io/it/publication/conferences/2025-cet-tank/</link><pubDate>Thu, 15 May 2025 00:00:00 +0000</pubDate><guid>https://cnardin.github.io/it/publication/conferences/2025-cet-tank/</guid><description>
&lt;div class="callout flex px-4 py-3 mb-6 rounded-md border-l-4 bg-cyan-100 dark:bg-cyan-900 border-cyan-500"
data-callout="abstract"
data-callout-metadata=""&gt;
&lt;span class="callout-icon pr-3 pt-1 text-cyan-600 dark:text-cyan-300"&gt;
&lt;svg height="24" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"&gt;&lt;path fill="none" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.5" d="M9 12h3.75M9 15h3.75M9 18h3.75m3 .75H18a2.25 2.25 0 0 0 2.25-2.25V6.108c0-1.135-.845-2.098-1.976-2.192a48.424 48.424 0 0 0-1.123-.08m-5.801 0c-.065.21-.1.433-.1.664c0 .414.336.75.75.75h4.5a.75.75 0 0 0 .75-.75a2.25 2.25 0 0 0-.1-.664m-5.8 0A2.251 2.251 0 0 1 13.5 2.25H15a2.25 2.25 0 0 1 2.15 1.586m-5.8 0c-.376.023-.75.05-1.124.08C9.095 4.01 8.25 4.973 8.25 6.108V8.25m0 0H4.875c-.621 0-1.125.504-1.125 1.125v11.25c0 .621.504 1.125 1.125 1.125h9.75c.621 0 1.125-.504 1.125-1.125V9.375c0-.621-.504-1.125-1.125-1.125zM6.75 12h.008v.008H6.75zm0 3h.008v.008H6.75zm0 3h.008v.008H6.75z"/&gt;&lt;/svg&gt;
&lt;/span&gt;
&lt;div class="callout-content dark:text-neutral-300"&gt;
&lt;div class="callout-title font-semibold mb-1"&gt;Abstract&lt;/div&gt;
&lt;div class="callout-body"&gt;&lt;p&gt;Large cylindrical storage tanks are widely utilised in petrochemical plants to store different liquid materials, e.g., crude oil. However, these structures are revealed to be especially vulnerable in case of a natural event like an earthquake or tsunami. Damage to these tanks, indeed, can lead to technology accidents (also known as NaTech), like a spill of dangerous materials or waste of filling, typically through failed sealings. To address the challenges of leakage modelling, fragility models associated to leakage due to seismic loading conditions of large cylindrical storage tanks, specifically a broad tank endowed with a single-deck floating roof, are studied. In particular, this paper aims to utilise a probabilistic model to evaluate fragility curves associated with leakage due to slosh-induced damage of single-deck floating roofs and/or seals of broad tanks. The assessment of failure mechanisms and leakage of pantograph-type mechanical seals is considered by means of local FE models. In addition, refined FE models of broad tanks with floating roofs are considered too. Specifically, a broad tank TK-59 endowed with an 86 m diameter and a 22 m height storing crude oil was selected and investigated as an industrial case study. Finally, fragility functions are derived and commented upon for the most relevant limit states associated with leakage.&lt;/p&gt;&lt;/div&gt;
&lt;/div&gt;
&lt;/div&gt;
&lt;div class="callout flex px-4 py-3 mb-6 rounded-md border-l-4 bg-emerald-100 dark:bg-emerald-900 border-emerald-500"
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&lt;svg height="24" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"&gt;&lt;path fill="none" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.5" d="M12 18v-5.25m0 0a6.01 6.01 0 0 0 1.5-.189m-1.5.189a6.01 6.01 0 0 1-1.5-.189m3.75 7.478a12.06 12.06 0 0 1-4.5 0m3.75 2.383a14.406 14.406 0 0 1-3 0M14.25 18v-.192c0-.983.658-1.823 1.508-2.316a7.5 7.5 0 1 0-7.517 0c.85.493 1.509 1.333 1.509 2.316V18"/&gt;&lt;/svg&gt;
&lt;/span&gt;
&lt;div class="callout-content dark:text-neutral-300"&gt;
&lt;div class="callout-title font-semibold mb-1"&gt;Suggerimento&lt;/div&gt;
&lt;div class="callout-body"&gt;&lt;p&gt;Click the &lt;em&gt;Cite&lt;/em&gt; button above to copy &lt;em&gt;.bib&lt;/em&gt; publication metadata into your notes.&lt;br&gt;
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&lt;/div&gt;
&lt;div class="scite-badge"
data-doi="doi.org/10.3303/CET25116087"
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&lt;/script&gt;</description></item><item><title>State-dependent seismic fragility functions for bolted flange joints on special-risk industrial substructures</title><link>https://cnardin.github.io/it/publication/conferences/2024-pvp-bfj/</link><pubDate>Sun, 28 Jul 2024 00:00:00 +0000</pubDate><guid>https://cnardin.github.io/it/publication/conferences/2024-pvp-bfj/</guid><description>
&lt;div class="callout flex px-4 py-3 mb-6 rounded-md border-l-4 bg-cyan-100 dark:bg-cyan-900 border-cyan-500"
data-callout="abstract"
data-callout-metadata=""&gt;
&lt;span class="callout-icon pr-3 pt-1 text-cyan-600 dark:text-cyan-300"&gt;
&lt;svg height="24" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"&gt;&lt;path fill="none" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.5" d="M9 12h3.75M9 15h3.75M9 18h3.75m3 .75H18a2.25 2.25 0 0 0 2.25-2.25V6.108c0-1.135-.845-2.098-1.976-2.192a48.424 48.424 0 0 0-1.123-.08m-5.801 0c-.065.21-.1.433-.1.664c0 .414.336.75.75.75h4.5a.75.75 0 0 0 .75-.75a2.25 2.25 0 0 0-.1-.664m-5.8 0A2.251 2.251 0 0 1 13.5 2.25H15a2.25 2.25 0 0 1 2.15 1.586m-5.8 0c-.376.023-.75.05-1.124.08C9.095 4.01 8.25 4.973 8.25 6.108V8.25m0 0H4.875c-.621 0-1.125.504-1.125 1.125v11.25c0 .621.504 1.125 1.125 1.125h9.75c.621 0 1.125-.504 1.125-1.125V9.375c0-.621-.504-1.125-1.125-1.125zM6.75 12h.008v.008H6.75zm0 3h.008v.008H6.75zm0 3h.008v.008H6.75z"/&gt;&lt;/svg&gt;
&lt;/span&gt;
&lt;div class="callout-content dark:text-neutral-300"&gt;
&lt;div class="callout-title font-semibold mb-1"&gt;Abstract&lt;/div&gt;
&lt;div class="callout-body"&gt;&lt;p&gt;Seismic vulnerability assessment of industrial plants and process equipment has gained attention lately. However, the complexity of the problem and its modelling, combined with a general scarcity of available data on industrial systems, contributed to limiting or developing risk assessment methods based on extremely simplified models. On these premises, a new methodology that combines limited data from finite element (FE) models with cutting-edge machine learning techniques is developed to generate state-dependent fragility functions for critical components mounted on archetypical industrial substructure modules. Specifically, referring to the classical forward uncertainty quantification scheme, a physics-informed FE model, calibrated on the results of a comprehensive shake table test campaign of a real-scale industrial braced-frame (BF) steel substructure, is considered. Time histories of seismic event sequences generated by a site-based ground motion model compose the input provided to the FE model. The uncertainty is then propagated through Monte Carlo analysis on inexpensive-to-run polynomial chaos expansion (PCE) metamodels set for each starting damage level condition measure. As a result, empirical state-dependent fragilities are evaluated, assuming the lognormal distribution.&lt;/p&gt;&lt;/div&gt;
&lt;/div&gt;
&lt;/div&gt;
&lt;div class="callout flex px-4 py-3 mb-6 rounded-md border-l-4 bg-emerald-100 dark:bg-emerald-900 border-emerald-500"
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&lt;svg height="24" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"&gt;&lt;path fill="none" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.5" d="M12 18v-5.25m0 0a6.01 6.01 0 0 0 1.5-.189m-1.5.189a6.01 6.01 0 0 1-1.5-.189m3.75 7.478a12.06 12.06 0 0 1-4.5 0m3.75 2.383a14.406 14.406 0 0 1-3 0M14.25 18v-.192c0-.983.658-1.823 1.508-2.316a7.5 7.5 0 1 0-7.517 0c.85.493 1.509 1.333 1.509 2.316V18"/&gt;&lt;/svg&gt;
&lt;/span&gt;
&lt;div class="callout-content dark:text-neutral-300"&gt;
&lt;div class="callout-title font-semibold mb-1"&gt;Suggerimento&lt;/div&gt;
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data-doi="doi.org/10.1115/PVP2024-123237"
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&lt;/script&gt;</description></item><item><title>Risk analysis of the Alto Garda area by means of microzonation and structural characterisation of buildings mapping</title><link>https://cnardin.github.io/it/publication/conferences/2024-wcee-maers/</link><pubDate>Tue, 02 Jul 2024 00:00:00 +0000</pubDate><guid>https://cnardin.github.io/it/publication/conferences/2024-wcee-maers/</guid><description>
&lt;div class="callout flex px-4 py-3 mb-6 rounded-md border-l-4 bg-cyan-100 dark:bg-cyan-900 border-cyan-500"
data-callout="abstract"
data-callout-metadata=""&gt;
&lt;span class="callout-icon pr-3 pt-1 text-cyan-600 dark:text-cyan-300"&gt;
&lt;svg height="24" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"&gt;&lt;path fill="none" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.5" d="M9 12h3.75M9 15h3.75M9 18h3.75m3 .75H18a2.25 2.25 0 0 0 2.25-2.25V6.108c0-1.135-.845-2.098-1.976-2.192a48.424 48.424 0 0 0-1.123-.08m-5.801 0c-.065.21-.1.433-.1.664c0 .414.336.75.75.75h4.5a.75.75 0 0 0 .75-.75a2.25 2.25 0 0 0-.1-.664m-5.8 0A2.251 2.251 0 0 1 13.5 2.25H15a2.25 2.25 0 0 1 2.15 1.586m-5.8 0c-.376.023-.75.05-1.124.08C9.095 4.01 8.25 4.973 8.25 6.108V8.25m0 0H4.875c-.621 0-1.125.504-1.125 1.125v11.25c0 .621.504 1.125 1.125 1.125h9.75c.621 0 1.125-.504 1.125-1.125V9.375c0-.621-.504-1.125-1.125-1.125zM6.75 12h.008v.008H6.75zm0 3h.008v.008H6.75zm0 3h.008v.008H6.75z"/&gt;&lt;/svg&gt;
&lt;/span&gt;
&lt;div class="callout-content dark:text-neutral-300"&gt;
&lt;div class="callout-title font-semibold mb-1"&gt;Abstract&lt;/div&gt;
&lt;div class="callout-body"&gt;&lt;p&gt;A reliable seismic risk assessment at national and regional scales has become a major focus for researchers and practitioners, as well as decision-makers and territorial stakeholders. The two primary components of risk assessment, i.e., hazard models and vulnerability analysis, have been the subject of extensive study. In fact, they play a critical role in improving risk management strategies, planning infrastructure and engineering facilities, and supporting disaster response management at a regional scale. Within this framework, a detailed regional risk assessment for the Trentino Alto Garda region, in northern Italy, is presented herein. The recently completed microzonation of the studied area is considered for the hazard analysis contributing to improving the assessment at the local scale and with high spatial resolution. Additionally, data mining of structural building information databases and statistical models of the building asset that take advantage of the main building characteristics evaluated by means of seismic noise measurements and analysis, are used to develop exposure maps. As a result, the hazard and exposure maps are integrated to derive a first semiquantitative seismic risk assessment for the case study area.&lt;/p&gt;&lt;/div&gt;
&lt;/div&gt;
&lt;/div&gt;
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&lt;svg height="24" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"&gt;&lt;path fill="none" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.5" d="M12 18v-5.25m0 0a6.01 6.01 0 0 0 1.5-.189m-1.5.189a6.01 6.01 0 0 1-1.5-.189m3.75 7.478a12.06 12.06 0 0 1-4.5 0m3.75 2.383a14.406 14.406 0 0 1-3 0M14.25 18v-.192c0-.983.658-1.823 1.508-2.316a7.5 7.5 0 1 0-7.517 0c.85.493 1.509 1.333 1.509 2.316V18"/&gt;&lt;/svg&gt;
&lt;/span&gt;
&lt;div class="callout-content dark:text-neutral-300"&gt;
&lt;div class="callout-title font-semibold mb-1"&gt;Suggerimento&lt;/div&gt;
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&lt;/div&gt;
&lt;/div&gt;</description></item><item><title>State-dependent seismic fragility functions for vertical tanks installed on major hazard industrial substructure module</title><link>https://cnardin.github.io/it/publication/conferences/2024-wcee-tank/</link><pubDate>Mon, 01 Jul 2024 00:00:00 +0000</pubDate><guid>https://cnardin.github.io/it/publication/conferences/2024-wcee-tank/</guid><description>
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data-callout="abstract"
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&lt;svg height="24" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"&gt;&lt;path fill="none" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.5" d="M9 12h3.75M9 15h3.75M9 18h3.75m3 .75H18a2.25 2.25 0 0 0 2.25-2.25V6.108c0-1.135-.845-2.098-1.976-2.192a48.424 48.424 0 0 0-1.123-.08m-5.801 0c-.065.21-.1.433-.1.664c0 .414.336.75.75.75h4.5a.75.75 0 0 0 .75-.75a2.25 2.25 0 0 0-.1-.664m-5.8 0A2.251 2.251 0 0 1 13.5 2.25H15a2.25 2.25 0 0 1 2.15 1.586m-5.8 0c-.376.023-.75.05-1.124.08C9.095 4.01 8.25 4.973 8.25 6.108V8.25m0 0H4.875c-.621 0-1.125.504-1.125 1.125v11.25c0 .621.504 1.125 1.125 1.125h9.75c.621 0 1.125-.504 1.125-1.125V9.375c0-.621-.504-1.125-1.125-1.125zM6.75 12h.008v.008H6.75zm0 3h.008v.008H6.75zm0 3h.008v.008H6.75z"/&gt;&lt;/svg&gt;
&lt;/span&gt;
&lt;div class="callout-content dark:text-neutral-300"&gt;
&lt;div class="callout-title font-semibold mb-1"&gt;Abstract&lt;/div&gt;
&lt;div class="callout-body"&gt;&lt;p&gt;Seismic vulnerability assessment of industrial plants and process equipment has gained attention lately. However, the complexity of the problem and its modelling, combined with a general scarcity of available data on industrial systems, contributed to limiting or developing risk assessment methods based on extremely simplified models. On these premises, a new methodology that combines limited data from finite element (FE) models with cutting-edge machine learning techniques is developed to generate state-dependent fragility functions for critical components mounted on archetypical industrial substructure modules. Specifically, referring to the classical forward uncertainty quantification scheme, a physics-informed FE model, calibrated on the results of a comprehensive shake table test campaign of a real-scale industrial braced-frame (BF) steel substructure, is considered. Time histories of seismic event sequences generated by a site-based ground motion model compose the input provided to the FE model. The uncertainty is then propagated through Monte Carlo analysis on inexpensive-to-run polynomial chaos expansion (PCE) metamodels set for each starting damage level condition measure. As a result, empirical state-dependent fragilities are evaluated, assuming the lognormal distribution.&lt;/p&gt;&lt;/div&gt;
&lt;/div&gt;
&lt;/div&gt;
&lt;div class="callout flex px-4 py-3 mb-6 rounded-md border-l-4 bg-emerald-100 dark:bg-emerald-900 border-emerald-500"
data-callout="tip"
data-callout-metadata=""&gt;
&lt;span class="callout-icon pr-3 pt-1 text-emerald-600 dark:text-emerald-300"&gt;
&lt;svg height="24" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"&gt;&lt;path fill="none" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.5" d="M12 18v-5.25m0 0a6.01 6.01 0 0 0 1.5-.189m-1.5.189a6.01 6.01 0 0 1-1.5-.189m3.75 7.478a12.06 12.06 0 0 1-4.5 0m3.75 2.383a14.406 14.406 0 0 1-3 0M14.25 18v-.192c0-.983.658-1.823 1.508-2.316a7.5 7.5 0 1 0-7.517 0c.85.493 1.509 1.333 1.509 2.316V18"/&gt;&lt;/svg&gt;
&lt;/span&gt;
&lt;div class="callout-content dark:text-neutral-300"&gt;
&lt;div class="callout-title font-semibold mb-1"&gt;Suggerimento&lt;/div&gt;
&lt;div class="callout-body"&gt;&lt;p&gt;Click the &lt;em&gt;Cite&lt;/em&gt; button above to copy &lt;em&gt;.bib&lt;/em&gt; publication metadata into your notes.
or directly download here either the bibtex version:
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&lt;a href="https://cnardin.github.io/papers/2024-WCEE-tank.txt" target="_blank"&gt;Download Plain.txt&lt;/a&gt;&lt;/p&gt;&lt;/div&gt;
&lt;/div&gt;
&lt;/div&gt;</description></item><item><title>Design standardisation and seismic protection of SMRs through modular metafoundations</title><link>https://cnardin.github.io/it/publication/articles/2024-ned-metamaterial/</link><pubDate>Mon, 12 Feb 2024 00:00:00 +0000</pubDate><guid>https://cnardin.github.io/it/publication/articles/2024-ned-metamaterial/</guid><description>
&lt;div class="callout flex px-4 py-3 mb-6 rounded-md border-l-4 bg-cyan-100 dark:bg-cyan-900 border-cyan-500"
data-callout="abstract"
data-callout-metadata=""&gt;
&lt;span class="callout-icon pr-3 pt-1 text-cyan-600 dark:text-cyan-300"&gt;
&lt;svg height="24" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"&gt;&lt;path fill="none" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.5" d="M9 12h3.75M9 15h3.75M9 18h3.75m3 .75H18a2.25 2.25 0 0 0 2.25-2.25V6.108c0-1.135-.845-2.098-1.976-2.192a48.424 48.424 0 0 0-1.123-.08m-5.801 0c-.065.21-.1.433-.1.664c0 .414.336.75.75.75h4.5a.75.75 0 0 0 .75-.75a2.25 2.25 0 0 0-.1-.664m-5.8 0A2.251 2.251 0 0 1 13.5 2.25H15a2.25 2.25 0 0 1 2.15 1.586m-5.8 0c-.376.023-.75.05-1.124.08C9.095 4.01 8.25 4.973 8.25 6.108V8.25m0 0H4.875c-.621 0-1.125.504-1.125 1.125v11.25c0 .621.504 1.125 1.125 1.125h9.75c.621 0 1.125-.504 1.125-1.125V9.375c0-.621-.504-1.125-1.125-1.125zM6.75 12h.008v.008H6.75zm0 3h.008v.008H6.75zm0 3h.008v.008H6.75z"/&gt;&lt;/svg&gt;
&lt;/span&gt;
&lt;div class="callout-content dark:text-neutral-300"&gt;
&lt;div class="callout-title font-semibold mb-1"&gt;Abstract&lt;/div&gt;
&lt;div class="callout-body"&gt;&lt;p&gt;This paper investigates the seismic protection of the Nuward™ small modular reactor (SMR) building, focusing
on design loading and beyond design basis earthquake (bDBE) conditions. The study aims to achieve two primary
objectives: (i) to enhance seismic mitigation of a SMR building under bDBE conditions, through the use of the
innovative modular single-layer (SLM) and multi-layer (MLM) metafoundations (MFs); (ii) to effectively standardise
and harmonise SMR building designs in locations prone to beyond design basis conditions. To accomplish
these goals and demonstrate the protective capabilities of the MFs, the study employs non-linear time-history
analyses (NLTHAs) for both DBE and bDBE conditions. Along these lines, a reduced-order model was developed
from a refined finite element (FE) model of the SMR building using the Craig-Bampton mode synthesis technique.
Then, finite locally resonant modular MFs were designed and analysed using NLTHAs. Specifically, physics-based
ground motion models (GMMs) were used to generate and select seismic triplets that mimicked DBE and bDBE
scenarios for NLTHAs. Successively to achieve improved seismic performance, the optimization of the MFs was
pursued by targeting the optimal number of columns, resonator parameters, and unit cell dimensions. Additionally,
the deployment of inerters was considered, to significantly reduce the size of the MFs and enable their
application in multiple layers for ultra-low frequency attenuation. The overall findings suggest that modular MFs
meet seismic protection requirements, and positively contribute to the standardization process of SMR buildings,
even in areas characterized by beyond-design seismic conditions.&lt;/p&gt;&lt;/div&gt;
&lt;/div&gt;
&lt;/div&gt;
&lt;div class="callout flex px-4 py-3 mb-6 rounded-md border-l-4 bg-emerald-100 dark:bg-emerald-900 border-emerald-500"
data-callout="tip"
data-callout-metadata=""&gt;
&lt;span class="callout-icon pr-3 pt-1 text-emerald-600 dark:text-emerald-300"&gt;
&lt;svg height="24" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"&gt;&lt;path fill="none" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.5" d="M12 18v-5.25m0 0a6.01 6.01 0 0 0 1.5-.189m-1.5.189a6.01 6.01 0 0 1-1.5-.189m3.75 7.478a12.06 12.06 0 0 1-4.5 0m3.75 2.383a14.406 14.406 0 0 1-3 0M14.25 18v-.192c0-.983.658-1.823 1.508-2.316a7.5 7.5 0 1 0-7.517 0c.85.493 1.509 1.333 1.509 2.316V18"/&gt;&lt;/svg&gt;
&lt;/span&gt;
&lt;div class="callout-content dark:text-neutral-300"&gt;
&lt;div class="callout-title font-semibold mb-1"&gt;Suggerimento&lt;/div&gt;
&lt;div class="callout-body"&gt;&lt;p&gt;Click the &lt;em&gt;Cite&lt;/em&gt; button above to copy &lt;em&gt;.bib&lt;/em&gt; publication metadata into your notes.&lt;br&gt;
or directly download here either the bibtex version:
&lt;a href="https://cnardin.github.io/papers/2024-NED-tugberk.bib" target="_blank"&gt;Download BibTeX&lt;/a&gt;
or the plain text one:
&lt;a href="https://cnardin.github.io/papers/2024-NED-tugberk.txt" target="_blank"&gt;Download Plain.txt&lt;/a&gt;&lt;/p&gt;&lt;/div&gt;
&lt;/div&gt;
&lt;/div&gt;
&lt;div class="scite-badge"
data-doi="doi.org/10.1016/j.nucengdes.2024.113347"
data-layout="horizontal"
data-show-zero="false"
data-small="false"
data-show-labels="true"
data-tally-show="true"&gt;
&lt;/div&gt;
&lt;script async type="application/javascript" src="https://cdn.scite.ai/badge/scite-badge-latest.min.js"&gt;
&lt;/script&gt;</description></item><item><title>Esperienza</title><link>https://cnardin.github.io/it/experience/</link><pubDate>Tue, 24 Oct 2023 00:00:00 +0000</pubDate><guid>https://cnardin.github.io/it/experience/</guid><description/></item><item><title>Modelling of non-structural components of an industrial multi-storey frame for seismic risk assessment</title><link>https://cnardin.github.io/it/publication/articles/2023-beee-nsc/</link><pubDate>Thu, 07 Sep 2023 00:00:00 +0000</pubDate><guid>https://cnardin.github.io/it/publication/articles/2023-beee-nsc/</guid><description>
&lt;div class="callout flex px-4 py-3 mb-6 rounded-md border-l-4 bg-cyan-100 dark:bg-cyan-900 border-cyan-500"
data-callout="abstract"
data-callout-metadata=""&gt;
&lt;span class="callout-icon pr-3 pt-1 text-cyan-600 dark:text-cyan-300"&gt;
&lt;svg height="24" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"&gt;&lt;path fill="none" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.5" d="M9 12h3.75M9 15h3.75M9 18h3.75m3 .75H18a2.25 2.25 0 0 0 2.25-2.25V6.108c0-1.135-.845-2.098-1.976-2.192a48.424 48.424 0 0 0-1.123-.08m-5.801 0c-.065.21-.1.433-.1.664c0 .414.336.75.75.75h4.5a.75.75 0 0 0 .75-.75a2.25 2.25 0 0 0-.1-.664m-5.8 0A2.251 2.251 0 0 1 13.5 2.25H15a2.25 2.25 0 0 1 2.15 1.586m-5.8 0c-.376.023-.75.05-1.124.08C9.095 4.01 8.25 4.973 8.25 6.108V8.25m0 0H4.875c-.621 0-1.125.504-1.125 1.125v11.25c0 .621.504 1.125 1.125 1.125h9.75c.621 0 1.125-.504 1.125-1.125V9.375c0-.621-.504-1.125-1.125-1.125zM6.75 12h.008v.008H6.75zm0 3h.008v.008H6.75zm0 3h.008v.008H6.75z"/&gt;&lt;/svg&gt;
&lt;/span&gt;
&lt;div class="callout-content dark:text-neutral-300"&gt;
&lt;div class="callout-title font-semibold mb-1"&gt;Abstract&lt;/div&gt;
&lt;div class="callout-body"&gt;&lt;p&gt;Seismic risk assessment of industrial facilities is complex due to the presence of different types of equipment. It represents a research issue that requires further investigation. To this end, some analytical approaches have been developed in the framework of performance-based earthquake engineering. Nonetheless, their accuracy in the case of complex critical facilities, such as nuclear and non-nuclear industrial plants, is still under investigation. Thus, the proposed study intends to research in depth, in a risk assessment framework, some critical aspects related to: (1) modelling of industrial facilities and their secondary equipment with different degrees of accuracy, also taking into account their dynamic interaction; (2) selection of seismic records for fragility analysis, due to the narrow distribution of frequency values for non-structural components; (3) effectiveness of performance-based earthquake engineering applied to this particular class of coupled structure-equipment for risk assessment. In this context, the proper selection of seismic records becomes relevant, and SCoRes, an innovative algorithm for accelerograms selection is worthy of investigation. On these premises, two different configurations of a primary industrial structure, i.e. a moment resisting frame and a braced frame, equipped with non-structural components and subjected to shake table test campaigns are selected as case studies. For the two configurations, a vulnerability assessment of two vertical tanks installed on the first floor was carried out. Along these lines, to establish the effectiveness of the proposed method for both the moment resisting frame and braced frame configurations, the mean annual frequency of exceedance of the bottom-wall strain of the above-mentioned tanks, both at the design basis and safe shutdown earthquake has been evaluated.&lt;/p&gt;&lt;/div&gt;
&lt;/div&gt;
&lt;/div&gt;
&lt;div class="callout flex px-4 py-3 mb-6 rounded-md border-l-4 bg-emerald-100 dark:bg-emerald-900 border-emerald-500"
data-callout="tip"
data-callout-metadata=""&gt;
&lt;span class="callout-icon pr-3 pt-1 text-emerald-600 dark:text-emerald-300"&gt;
&lt;svg height="24" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"&gt;&lt;path fill="none" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.5" d="M12 18v-5.25m0 0a6.01 6.01 0 0 0 1.5-.189m-1.5.189a6.01 6.01 0 0 1-1.5-.189m3.75 7.478a12.06 12.06 0 0 1-4.5 0m3.75 2.383a14.406 14.406 0 0 1-3 0M14.25 18v-.192c0-.983.658-1.823 1.508-2.316a7.5 7.5 0 1 0-7.517 0c.85.493 1.509 1.333 1.509 2.316V18"/&gt;&lt;/svg&gt;
&lt;/span&gt;
&lt;div class="callout-content dark:text-neutral-300"&gt;
&lt;div class="callout-title font-semibold mb-1"&gt;Suggerimento&lt;/div&gt;
&lt;div class="callout-body"&gt;&lt;p&gt;Click the &lt;em&gt;Cite&lt;/em&gt; button above to copy &lt;em&gt;.bib&lt;/em&gt; publication metadata into your notes.
or directly download here either the bibtex version:
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or the plain text one:
&lt;a href="https://cnardin.github.io/papers/2023-BEEE-nsc.txt" target="_blank"&gt;Download Plain.txt&lt;/a&gt;&lt;/p&gt;&lt;/div&gt;
&lt;/div&gt;
&lt;/div&gt;
&lt;div class="scite-badge"
data-doi="doi.org/10.1007/s10518-023-01753-4"
data-layout="horizontal"
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data-tally-show="true"&gt;
&lt;/div&gt;
&lt;script async type="application/javascript" src="https://cdn.scite.ai/badge/scite-badge-latest.min.js"&gt;
&lt;/script&gt;</description></item><item><title>Seismic experimental analyses and surrogate models of multi-component systems in special-risk industrial facilities</title><link>https://cnardin.github.io/it/publication/articles/2022-phd-thesis/</link><pubDate>Thu, 22 Dec 2022 00:00:00 +0000</pubDate><guid>https://cnardin.github.io/it/publication/articles/2022-phd-thesis/</guid><description>
&lt;div class="callout flex px-4 py-3 mb-6 rounded-md border-l-4 bg-cyan-100 dark:bg-cyan-900 border-cyan-500"
data-callout="abstract"
data-callout-metadata=""&gt;
&lt;span class="callout-icon pr-3 pt-1 text-cyan-600 dark:text-cyan-300"&gt;
&lt;svg height="24" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"&gt;&lt;path fill="none" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.5" d="M9 12h3.75M9 15h3.75M9 18h3.75m3 .75H18a2.25 2.25 0 0 0 2.25-2.25V6.108c0-1.135-.845-2.098-1.976-2.192a48.424 48.424 0 0 0-1.123-.08m-5.801 0c-.065.21-.1.433-.1.664c0 .414.336.75.75.75h4.5a.75.75 0 0 0 .75-.75a2.25 2.25 0 0 0-.1-.664m-5.8 0A2.251 2.251 0 0 1 13.5 2.25H15a2.25 2.25 0 0 1 2.15 1.586m-5.8 0c-.376.023-.75.05-1.124.08C9.095 4.01 8.25 4.973 8.25 6.108V8.25m0 0H4.875c-.621 0-1.125.504-1.125 1.125v11.25c0 .621.504 1.125 1.125 1.125h9.75c.621 0 1.125-.504 1.125-1.125V9.375c0-.621-.504-1.125-1.125-1.125zM6.75 12h.008v.008H6.75zm0 3h.008v.008H6.75zm0 3h.008v.008H6.75z"/&gt;&lt;/svg&gt;
&lt;/span&gt;
&lt;div class="callout-content dark:text-neutral-300"&gt;
&lt;div class="callout-title font-semibold mb-1"&gt;Abstract&lt;/div&gt;
&lt;div class="callout-body"&gt;&lt;p&gt;Nowadays, earthquakes are one of the most catastrophic natural events that have a significant human, socio-economic and environmental impact. Besides, based on both observations of damage following recent major/moderate seismic events and numerical/experimental studies, it clearly emerges that critical non-structural components (NSCs) that are ubiquitous to most industrial facilities are particularly and even disproportionately vulnerable to those events. Nonetheless and despite their great importance, seismic provisions for industrial facilities and their process equipment are still based on the classical load-and-resistance factor design (LRFD) approach; a performance-based earthquake engineering (PBEE) approach should, instead, be preferred. Along this vein, in recent years, much research has been devoted to setting computational fragility frameworks for special-risk industrial components and structures. However, within a PBEE perspective, studies have clearly remarked: i) a lack of definition of performance objectives for NSCs; ii) the need for fully comprehensive testing campaigns data on coupling effects between main structures and NSCs. In this respect, this doctorate thesis introduces a computational framework for an efficient and accurate seismic state-dependent fragility analysis; it is based on a combination of data acquired from an extensive experimental shake table test campaign on a full-scale prototype industrial steel frame structure and the most recent surrogate-based UQ forward analysis advancements. Specifically, the framework is applied to a real-world application consisting of seismic shake table tests of a representative industrial multistorey frame structure equipped with complex process components, carried out at the EUCENTRE facility in Italy, within the European SPIF project: Seismic Performance of Multi-Component Systems in Special Risk Industrial Facilities. The results of this experimental research campaign also aspire to improve the understanding of these complex systems and improve the knowledge of FE modelling techniques. The main goals aim to reduce the huge computational burden and to assess, as well, when the importance of coupling effects between NSCs and the main structure comes into play. Insights provided by innovative monitoring systems were then deployed to develop and validate numerical and analytical models. At the same time, the adoption of Der Kiureghian&amp;rsquo;s stochastic site-based ground motion model (GMM) was deemed necessary to severely excite the process equipment and supplement the scarcity of real records with a specific frequency content capable of enhancing coupling effects. Finally, to assess the seismic risk of NSCs of those special facilities, this thesis introduces state-dependent fragility curves that consider the accumulation of damage effects due to sequential seismic events. To this end, the computational burden was alleviated by adopting polynomial chaos expansion (PCE) surrogate models. More precisely, the dimensionality of a seismic input random vector has been reduced by performing the principal component analysis (PCA) on the experimental realizations. Successively, by bootstrapping on the experimental design, separate PCE coefficients have been determined, yielding a full response sample at each point. Eventually, empirical state-dependent fragility curves were derived.&lt;/p&gt;&lt;/div&gt;
&lt;/div&gt;
&lt;/div&gt;
&lt;div class="callout flex px-4 py-3 mb-6 rounded-md border-l-4 bg-emerald-100 dark:bg-emerald-900 border-emerald-500"
data-callout="tip"
data-callout-metadata=""&gt;
&lt;span class="callout-icon pr-3 pt-1 text-emerald-600 dark:text-emerald-300"&gt;
&lt;svg height="24" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"&gt;&lt;path fill="none" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.5" d="M12 18v-5.25m0 0a6.01 6.01 0 0 0 1.5-.189m-1.5.189a6.01 6.01 0 0 1-1.5-.189m3.75 7.478a12.06 12.06 0 0 1-4.5 0m3.75 2.383a14.406 14.406 0 0 1-3 0M14.25 18v-.192c0-.983.658-1.823 1.508-2.316a7.5 7.5 0 1 0-7.517 0c.85.493 1.509 1.333 1.509 2.316V18"/&gt;&lt;/svg&gt;
&lt;/span&gt;
&lt;div class="callout-content dark:text-neutral-300"&gt;
&lt;div class="callout-title font-semibold mb-1"&gt;Suggerimento&lt;/div&gt;
&lt;div class="callout-body"&gt;&lt;p&gt;Click the &lt;em&gt;Cite&lt;/em&gt; button above to copy &lt;em&gt;.bib&lt;/em&gt; publication metadata into your notes.
or directly download here either the bibtex version:
&lt;a href="https://cnardin.github.io/papers/2022-PhD-thesis.bib" target="_blank"&gt;Download BibTeX&lt;/a&gt;
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&lt;a href="https://cnardin.github.io/papers/2022-PhD-thesis.txt" target="_blank"&gt;Download Plain.txt&lt;/a&gt;&lt;/p&gt;&lt;/div&gt;
&lt;/div&gt;
&lt;/div&gt;</description></item><item><title>Experimental performance of a multi-storey braced frame structure with non-structural industrial components subjected to synthetic ground motions</title><link>https://cnardin.github.io/it/publication/articles/2022-eesd-bf/</link><pubDate>Thu, 05 May 2022 00:00:00 +0000</pubDate><guid>https://cnardin.github.io/it/publication/articles/2022-eesd-bf/</guid><description>
&lt;div class="callout flex px-4 py-3 mb-6 rounded-md border-l-4 bg-cyan-100 dark:bg-cyan-900 border-cyan-500"
data-callout="abstract"
data-callout-metadata=""&gt;
&lt;span class="callout-icon pr-3 pt-1 text-cyan-600 dark:text-cyan-300"&gt;
&lt;svg height="24" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"&gt;&lt;path fill="none" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.5" d="M9 12h3.75M9 15h3.75M9 18h3.75m3 .75H18a2.25 2.25 0 0 0 2.25-2.25V6.108c0-1.135-.845-2.098-1.976-2.192a48.424 48.424 0 0 0-1.123-.08m-5.801 0c-.065.21-.1.433-.1.664c0 .414.336.75.75.75h4.5a.75.75 0 0 0 .75-.75a2.25 2.25 0 0 0-.1-.664m-5.8 0A2.251 2.251 0 0 1 13.5 2.25H15a2.25 2.25 0 0 1 2.15 1.586m-5.8 0c-.376.023-.75.05-1.124.08C9.095 4.01 8.25 4.973 8.25 6.108V8.25m0 0H4.875c-.621 0-1.125.504-1.125 1.125v11.25c0 .621.504 1.125 1.125 1.125h9.75c.621 0 1.125-.504 1.125-1.125V9.375c0-.621-.504-1.125-1.125-1.125zM6.75 12h.008v.008H6.75zm0 3h.008v.008H6.75zm0 3h.008v.008H6.75z"/&gt;&lt;/svg&gt;
&lt;/span&gt;
&lt;div class="callout-content dark:text-neutral-300"&gt;
&lt;div class="callout-title font-semibold mb-1"&gt;Abstract&lt;/div&gt;
&lt;div class="callout-body"&gt;&lt;p&gt;The seismic risk assessment of industrial facilities mainly relies on historical data and the analysis and design of uncoupled secondary components. Accordingly, the dynamic interaction between primary structures and process equipment is overlooked. The SPIF project - Seismic Performance of Multi-Component Systems in Special Risk Industrial Facilities - was carried out to respond to this gap, within the European H2020 SERA framework. Its objective regarded the investigation of the seismic behaviour of an archetype industrial multi-storey steel moment resisting frame (MRF) structure equipped with non-structural components (NSCs) by means of shaking table tests. The goal of the proposed study was to extend the interaction analysis between a primary multi-storey braced frame (BF) steel structure and NSCs in a performance-based earthquake engineering (PBEE) perspective. Along this vein, to excite the vibration periods of the NSCs and thus enhance possible coupling with the primary structure, a synthetic site-based ground motion model (GMM) was employed. More precisely, the proposed research intended: (i) to severely excite the process equipment and supplement the scarcity of real records with a specific frequency content by means of a stochastic GMM; (ii) to quantify seismic-induced force and displacement demands of secondary components and their effects on the primary BF structure. The evaluation of the experimental data clearly shows buckling in the bracing system of the BF configuration and a strong interaction between vertical tanks and floor crossbeams of the BF. At the very least, the favourable performance of the archetype BF under strong seismic records is demonstrated.&lt;/p&gt;&lt;/div&gt;
&lt;/div&gt;
&lt;/div&gt;
&lt;div class="callout flex px-4 py-3 mb-6 rounded-md border-l-4 bg-emerald-100 dark:bg-emerald-900 border-emerald-500"
data-callout="tip"
data-callout-metadata=""&gt;
&lt;span class="callout-icon pr-3 pt-1 text-emerald-600 dark:text-emerald-300"&gt;
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&lt;/span&gt;
&lt;div class="callout-content dark:text-neutral-300"&gt;
&lt;div class="callout-title font-semibold mb-1"&gt;Suggerimento&lt;/div&gt;
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&lt;/script&gt;</description></item><item><title>Seismic performance of an industrial multi-storey frame structure with process equipment subjected to shake table testing</title><link>https://cnardin.github.io/it/publication/articles/2021-es-mrf/</link><pubDate>Wed, 01 Sep 2021 00:00:00 +0000</pubDate><guid>https://cnardin.github.io/it/publication/articles/2021-es-mrf/</guid><description>
&lt;div class="callout flex px-4 py-3 mb-6 rounded-md border-l-4 bg-cyan-100 dark:bg-cyan-900 border-cyan-500"
data-callout="abstract"
data-callout-metadata=""&gt;
&lt;span class="callout-icon pr-3 pt-1 text-cyan-600 dark:text-cyan-300"&gt;
&lt;svg height="24" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"&gt;&lt;path fill="none" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.5" d="M9 12h3.75M9 15h3.75M9 18h3.75m3 .75H18a2.25 2.25 0 0 0 2.25-2.25V6.108c0-1.135-.845-2.098-1.976-2.192a48.424 48.424 0 0 0-1.123-.08m-5.801 0c-.065.21-.1.433-.1.664c0 .414.336.75.75.75h4.5a.75.75 0 0 0 .75-.75a2.25 2.25 0 0 0-.1-.664m-5.8 0A2.251 2.251 0 0 1 13.5 2.25H15a2.25 2.25 0 0 1 2.15 1.586m-5.8 0c-.376.023-.75.05-1.124.08C9.095 4.01 8.25 4.973 8.25 6.108V8.25m0 0H4.875c-.621 0-1.125.504-1.125 1.125v11.25c0 .621.504 1.125 1.125 1.125h9.75c.621 0 1.125-.504 1.125-1.125V9.375c0-.621-.504-1.125-1.125-1.125zM6.75 12h.008v.008H6.75zm0 3h.008v.008H6.75zm0 3h.008v.008H6.75z"/&gt;&lt;/svg&gt;
&lt;/span&gt;
&lt;div class="callout-content dark:text-neutral-300"&gt;
&lt;div class="callout-title font-semibold mb-1"&gt;Abstract&lt;/div&gt;
&lt;div class="callout-body"&gt;&lt;p&gt;Past earthquakes demonstrated the high vulnerability of industrial facilities equipped with complex process technologies leading to serious damage of process equipment and multiple and simultaneous release of hazardous substances. Nonetheless, current standards for seismic design of industrial facilities are considered inadequate to guarantee proper safety conditions against exceptional events entailing loss of containment and related consequences. On these premises, the SPIF project - Seismic Performance of Multi-Component Systems in Special Risk Industrial Facilities - was proposed within the framework of the European H2020 SERA funding scheme. In detail, the objective of the SPIF project is the investigation of the seismic behaviour of a representative industrial multi-storey frame structure equipped with complex process components by means of shaking table tests. Along this main vein and in a performance-based design perspective, the issues investigated in depth are the interaction between a primary moment resisting frame (MRF) steel structure and secondary process components that influence the performance of the whole system; and a proper check of floor spectra predictions. The evaluation of experimental data clearly shows a favourable performance of the MRF structure, some weaknesses of local details due to the interaction between floor crossbeams and process components and, finally, the overconservatism of current design standards w.r.t. floor spectra predictions.&lt;/p&gt;&lt;/div&gt;
&lt;/div&gt;
&lt;/div&gt;
&lt;div class="callout flex px-4 py-3 mb-6 rounded-md border-l-4 bg-emerald-100 dark:bg-emerald-900 border-emerald-500"
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data-doi="doi.org/10.1016/j.engstruct.2021.112681"
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&lt;/script&gt;</description></item><item><title>Experimental investigation on the seismic performance of a multi-component system for major-hazard industrial facilities</title><link>https://cnardin.github.io/it/publication/conferences/2021-pvp-mcs/</link><pubDate>Tue, 13 Jul 2021 00:00:00 +0000</pubDate><guid>https://cnardin.github.io/it/publication/conferences/2021-pvp-mcs/</guid><description>
&lt;div class="callout flex px-4 py-3 mb-6 rounded-md border-l-4 bg-cyan-100 dark:bg-cyan-900 border-cyan-500"
data-callout="abstract"
data-callout-metadata=""&gt;
&lt;span class="callout-icon pr-3 pt-1 text-cyan-600 dark:text-cyan-300"&gt;
&lt;svg height="24" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"&gt;&lt;path fill="none" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.5" d="M9 12h3.75M9 15h3.75M9 18h3.75m3 .75H18a2.25 2.25 0 0 0 2.25-2.25V6.108c0-1.135-.845-2.098-1.976-2.192a48.424 48.424 0 0 0-1.123-.08m-5.801 0c-.065.21-.1.433-.1.664c0 .414.336.75.75.75h4.5a.75.75 0 0 0 .75-.75a2.25 2.25 0 0 0-.1-.664m-5.8 0A2.251 2.251 0 0 1 13.5 2.25H15a2.25 2.25 0 0 1 2.15 1.586m-5.8 0c-.376.023-.75.05-1.124.08C9.095 4.01 8.25 4.973 8.25 6.108V8.25m0 0H4.875c-.621 0-1.125.504-1.125 1.125v11.25c0 .621.504 1.125 1.125 1.125h9.75c.621 0 1.125-.504 1.125-1.125V9.375c0-.621-.504-1.125-1.125-1.125zM6.75 12h.008v.008H6.75zm0 3h.008v.008H6.75zm0 3h.008v.008H6.75z"/&gt;&lt;/svg&gt;
&lt;/span&gt;
&lt;div class="callout-content dark:text-neutral-300"&gt;
&lt;div class="callout-title font-semibold mb-1"&gt;Abstract&lt;/div&gt;
&lt;div class="callout-body"&gt;&lt;p&gt;Past earthquakes demonstrated the high vulnerability of industrial facilities equipped with complex process technologies leading to serious damage of the process equipment and multiple and simultaneous release of hazardous substances in industrial facilities. Nevertheless, the design of industrial plants is inadequately described in recent codes and guidelines, as they do not consider the dynamic interaction between the structure and the installations and thus the effect of seismic response of the installations on the response of the structure and vice versa. The current code-based approach for the seismic design of industrial facilities is considered not enough for ensure proper safety conditions against exceptional event entailing loss of content and related consequences. Accordingly, SPIF project (Seismic Performance of Multi-Component Systems in Special Risk Industrial Facilities) was proposed within the framework of the European H2020 - SERA funding scheme (Seismology and Earthquake Engineering Research Infrastructure Alliance for Europe). The objective of the SPIF project is the investigation of the seismic behaviour of a representative industrial structure equipped with complex process technology by means of shaking table tests. The test structure is a three-story moment resisting steel frame with vertical and horizontal vessels and cabinets, arranged on the three levels and connected by pipes. The dynamic behaviour of the test structure and of its relative several installations is investigated. Furthermore, both process components and primary structure interactions are considered and analyzed. Several PGA-scaled artificial ground motions are applied to study the seismic response at different levels. After each test, dynamic identification measurements are carried out to characterize the system condition. The contribution presents the experimental setup of the investigated structure and installations, selected measurement data and describes the obtained damage. Furthermore, important findings for the definition of performance limits, the effectiveness of floor response spectra in industrial facilities will be presented and discussed.&lt;/p&gt;&lt;/div&gt;
&lt;/div&gt;
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&lt;/script&gt;</description></item><item><title>Shake table testing for a multi-component prototype industrial plant: input and system modelling issues</title><link>https://cnardin.github.io/it/publication/conferences/2021-pvp-spif/</link><pubDate>Tue, 13 Jul 2021 00:00:00 +0000</pubDate><guid>https://cnardin.github.io/it/publication/conferences/2021-pvp-spif/</guid><description>
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data-callout="abstract"
data-callout-metadata=""&gt;
&lt;span class="callout-icon pr-3 pt-1 text-cyan-600 dark:text-cyan-300"&gt;
&lt;svg height="24" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"&gt;&lt;path fill="none" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.5" d="M9 12h3.75M9 15h3.75M9 18h3.75m3 .75H18a2.25 2.25 0 0 0 2.25-2.25V6.108c0-1.135-.845-2.098-1.976-2.192a48.424 48.424 0 0 0-1.123-.08m-5.801 0c-.065.21-.1.433-.1.664c0 .414.336.75.75.75h4.5a.75.75 0 0 0 .75-.75a2.25 2.25 0 0 0-.1-.664m-5.8 0A2.251 2.251 0 0 1 13.5 2.25H15a2.25 2.25 0 0 1 2.15 1.586m-5.8 0c-.376.023-.75.05-1.124.08C9.095 4.01 8.25 4.973 8.25 6.108V8.25m0 0H4.875c-.621 0-1.125.504-1.125 1.125v11.25c0 .621.504 1.125 1.125 1.125h9.75c.621 0 1.125-.504 1.125-1.125V9.375c0-.621-.504-1.125-1.125-1.125zM6.75 12h.008v.008H6.75zm0 3h.008v.008H6.75zm0 3h.008v.008H6.75z"/&gt;&lt;/svg&gt;
&lt;/span&gt;
&lt;div class="callout-content dark:text-neutral-300"&gt;
&lt;div class="callout-title font-semibold mb-1"&gt;Abstract&lt;/div&gt;
&lt;div class="callout-body"&gt;&lt;p&gt;Recent destructive earthquakes in China (Sichuan, 2008 and Yushu, 2010), Japan (Tohoku, 2011) and Italy (Emilia, 2012) highlighted the social and the political consequences of seismic risk due especially to industrial facilities. More precisely, critical interactions between the supporting structure and process components reveal to be extremely vulnerable in a seismic scenario and capable to lead serious damage of process equipment and potential release of hazardous substances. This latter circumstance, underestimated by current codes, in addition to loss of production, pose a serious danger to humans and the surrounding environment. Based on these premises, the SPIF project - Seismic Performance of Multi-Component Systems in Special Risk Industrial Facilities - was proposed within the framework of the European H2020 - SERA funding scheme. In greater detail, the goal of the project is the investigation of both the seismic behavior and the dynamic interactions of a representative industrial substructure equipped with complex process technology by means of shaking table tests. A full-scale mock-up composed by two single-bay moment resisting frames with three floors equipped with tanks, flanges, pipes, cabinet etc. was built and tested using a unidirectional shaking table activated with several earthquake levels. More precisely, the salient features investigated by shaking table testing are: i) the interaction between a primary moment resisting frame steel structure and secondary process components that influence the performance of the whole system; ii) input and system modelling capable to faithfully reproduce the seismic response of SPIF tested structure. The comprehensive testing campaign demonstrated a clear dynamic interaction between the primary steel structure and secondary process units that emphasizes the need of further investigations and studies.&lt;/p&gt;&lt;/div&gt;
&lt;/div&gt;
&lt;/div&gt;
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&lt;div class="callout-content dark:text-neutral-300"&gt;
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&lt;/script&gt;</description></item><item><title>Bolted flange joints equipped with FBG sensors in industrial piping systems subjected to seismic loads</title><link>https://cnardin.github.io/it/publication/articles/2021-jlpp-bfj/</link><pubDate>Sat, 26 Jun 2021 00:00:00 +0000</pubDate><guid>https://cnardin.github.io/it/publication/articles/2021-jlpp-bfj/</guid><description>
&lt;div class="callout flex px-4 py-3 mb-6 rounded-md border-l-4 bg-cyan-100 dark:bg-cyan-900 border-cyan-500"
data-callout="abstract"
data-callout-metadata=""&gt;
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&lt;svg height="24" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"&gt;&lt;path fill="none" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.5" d="M9 12h3.75M9 15h3.75M9 18h3.75m3 .75H18a2.25 2.25 0 0 0 2.25-2.25V6.108c0-1.135-.845-2.098-1.976-2.192a48.424 48.424 0 0 0-1.123-.08m-5.801 0c-.065.21-.1.433-.1.664c0 .414.336.75.75.75h4.5a.75.75 0 0 0 .75-.75a2.25 2.25 0 0 0-.1-.664m-5.8 0A2.251 2.251 0 0 1 13.5 2.25H15a2.25 2.25 0 0 1 2.15 1.586m-5.8 0c-.376.023-.75.05-1.124.08C9.095 4.01 8.25 4.973 8.25 6.108V8.25m0 0H4.875c-.621 0-1.125.504-1.125 1.125v11.25c0 .621.504 1.125 1.125 1.125h9.75c.621 0 1.125-.504 1.125-1.125V9.375c0-.621-.504-1.125-1.125-1.125zM6.75 12h.008v.008H6.75zm0 3h.008v.008H6.75zm0 3h.008v.008H6.75z"/&gt;&lt;/svg&gt;
&lt;/span&gt;
&lt;div class="callout-content dark:text-neutral-300"&gt;
&lt;div class="callout-title font-semibold mb-1"&gt;Abstract&lt;/div&gt;
&lt;div class="callout-body"&gt;&lt;p&gt;The vulnerability of major-hazard industrial plants to natural hazards has been recognized as an emergent issue whose importance is underlined by the Sendai Framework, established immediately after the Tohoku earthquake of 2011, in Japan. Hence, seismic risk analysis is of paramount importance as testified by the intense research activity that characterized the last years. In this respect, structural health monitoring can represent a valuable tool able to strongly help the decision-making phase. Along this main vein, optical fibers (OFs) represent a class of sensors able to both monitor critical conditions, as leakage of hazardous material, and activate safety barriers, if any. More precisely, optical fibers represent an economic solution, whose characteristics appear particularly suitable for dangerous environments like major-hazard plants. However, investigations relevant to their use for seismic monitoring of chemical/petrochemical plants are rather limited, especially when subject to strong dynamic excitations. As a result, this paper deals with the analysis of optical fiber Bragg gratings (FBGs) applied to bolted flange joints (BFJ) under cyclic loadings. More precisely, two experimental programs, i.e., a cyclic test on a single BFJ and a series of shaking table tests on BFJs of a multicomponent system, demonstrated the effectiveness of the proposed monitoring systems in detecting hazardous conditions and, thus, their potential use in conjunction with safety barriers.&lt;/p&gt;&lt;/div&gt;
&lt;/div&gt;
&lt;/div&gt;
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&lt;/script&gt;</description></item><item><title>SPIF Processed Dataset</title><link>https://cnardin.github.io/it/publication/articles/2021-data-spif/</link><pubDate>Fri, 01 Jan 2021 00:00:00 +0000</pubDate><guid>https://cnardin.github.io/it/publication/articles/2021-data-spif/</guid><description>
&lt;div class="callout flex px-4 py-3 mb-6 rounded-md border-l-4 bg-cyan-100 dark:bg-cyan-900 border-cyan-500"
data-callout="abstract"
data-callout-metadata=""&gt;
&lt;span class="callout-icon pr-3 pt-1 text-cyan-600 dark:text-cyan-300"&gt;
&lt;svg height="24" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"&gt;&lt;path fill="none" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.5" d="M9 12h3.75M9 15h3.75M9 18h3.75m3 .75H18a2.25 2.25 0 0 0 2.25-2.25V6.108c0-1.135-.845-2.098-1.976-2.192a48.424 48.424 0 0 0-1.123-.08m-5.801 0c-.065.21-.1.433-.1.664c0 .414.336.75.75.75h4.5a.75.75 0 0 0 .75-.75a2.25 2.25 0 0 0-.1-.664m-5.8 0A2.251 2.251 0 0 1 13.5 2.25H15a2.25 2.25 0 0 1 2.15 1.586m-5.8 0c-.376.023-.75.05-1.124.08C9.095 4.01 8.25 4.973 8.25 6.108V8.25m0 0H4.875c-.621 0-1.125.504-1.125 1.125v11.25c0 .621.504 1.125 1.125 1.125h9.75c.621 0 1.125-.504 1.125-1.125V9.375c0-.621-.504-1.125-1.125-1.125zM6.75 12h.008v.008H6.75zm0 3h.008v.008H6.75zm0 3h.008v.008H6.75z"/&gt;&lt;/svg&gt;
&lt;/span&gt;
&lt;div class="callout-content dark:text-neutral-300"&gt;
&lt;div class="callout-title font-semibold mb-1"&gt;Abstract&lt;/div&gt;
&lt;div class="callout-body"&gt;&lt;p&gt;Processed experimental dataset of the SPIF project (Seismic Performance of Multi-Component Systems in Special Risk Industrial Facilities), carried out within the European H2020 SERA Transnational Access programme at the EUCENTRE laboratories in Pavia, Italy. The dataset collects the processed measurements of the shake table test campaign on a full-scale, three-storey industrial steel frame structure, tested in moment resisting frame and braced frame configurations, equipped with vertical and horizontal tanks, a cabinet and piping networks with bolted flange joints. It includes input ground motions and the acceleration, displacement and strain responses of both the primary structure and the non-structural process components.&lt;/p&gt;&lt;/div&gt;
&lt;/div&gt;
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&lt;/div&gt;</description></item><item><title>Seismic performance of multiple-component systems in special risk industrial facilities</title><link>https://cnardin.github.io/it/publication/conferences/2020-wcee-spif/</link><pubDate>Fri, 18 Sep 2020 00:00:00 +0000</pubDate><guid>https://cnardin.github.io/it/publication/conferences/2020-wcee-spif/</guid><description>
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data-callout-metadata=""&gt;
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&lt;svg height="24" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"&gt;&lt;path fill="none" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.5" d="M9 12h3.75M9 15h3.75M9 18h3.75m3 .75H18a2.25 2.25 0 0 0 2.25-2.25V6.108c0-1.135-.845-2.098-1.976-2.192a48.424 48.424 0 0 0-1.123-.08m-5.801 0c-.065.21-.1.433-.1.664c0 .414.336.75.75.75h4.5a.75.75 0 0 0 .75-.75a2.25 2.25 0 0 0-.1-.664m-5.8 0A2.251 2.251 0 0 1 13.5 2.25H15a2.25 2.25 0 0 1 2.15 1.586m-5.8 0c-.376.023-.75.05-1.124.08C9.095 4.01 8.25 4.973 8.25 6.108V8.25m0 0H4.875c-.621 0-1.125.504-1.125 1.125v11.25c0 .621.504 1.125 1.125 1.125h9.75c.621 0 1.125-.504 1.125-1.125V9.375c0-.621-.504-1.125-1.125-1.125zM6.75 12h.008v.008H6.75zm0 3h.008v.008H6.75zm0 3h.008v.008H6.75z"/&gt;&lt;/svg&gt;
&lt;/span&gt;
&lt;div class="callout-content dark:text-neutral-300"&gt;
&lt;div class="callout-title font-semibold mb-1"&gt;Abstract&lt;/div&gt;
&lt;div class="callout-body"&gt;&lt;p&gt;Past earthquakes demonstrated the high vulnerability of industrial facilities equipped with complex process technologies leading to serious damage of the process equipment and multiple and simultaneous release of hazardous substances in industrial facilities. Nevertheless, the design of industrial plants is inadequately described in recent codes and guidelines, as they do not consider the dynamic interaction between the structure and the installations and thus the effect of seismic response of the installations on the response of the structure and vice versa. The current code-based approach for the seismic design of industrial facilities is considered not enough for ensure proper safety conditions against exceptional event entailing loss of content and related consequences. Accordingly, SPIF project (Seismic Performance of MultiComponent Systems in Special Risk Industrial Facilities) was proposed within the framework of the European H2020 - SERA funding scheme (Seismology and Earthquake Engineering Research Infrastructure Alliance for Europe). The objective of the SPIF project is the investigation of the seismic behavior of a representative industrial structure equipped with complex process technology by means of shaking table tests. The test structure is a three-story moment resisting steel frame with vertical and horizontal vessels and cabinets, arranged on the three levels and connected by pipes. The dynamic behavior of the test structure and installations is investigated with and without base isolation. Furthermore, both firmly anchored and isolated components are taken into account to compare their dynamic behavior and interactions with each other. Artificial and synthetic ground motions are applied to study the seismic response at different PGA levels. After each test, dynamic identification measurements are carried out to characterize the system condition. The contribution presents the numerical simulations to calibrate the tests on the prototype, the experimental setup of the investigated structure and installations, selected measurement data and finally describes preliminary experimental results.&lt;/p&gt;&lt;/div&gt;
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&lt;/script&gt; --&gt;</description></item><item><title>Ground motion model for seismic vulnerability assessment of prototype industrial plants</title><link>https://cnardin.github.io/it/publication/conferences/2020-pvp-spif/</link><pubDate>Sun, 19 Jul 2020 00:00:00 +0000</pubDate><guid>https://cnardin.github.io/it/publication/conferences/2020-pvp-spif/</guid><description>
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&lt;svg height="24" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"&gt;&lt;path fill="none" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.5" d="M9 12h3.75M9 15h3.75M9 18h3.75m3 .75H18a2.25 2.25 0 0 0 2.25-2.25V6.108c0-1.135-.845-2.098-1.976-2.192a48.424 48.424 0 0 0-1.123-.08m-5.801 0c-.065.21-.1.433-.1.664c0 .414.336.75.75.75h4.5a.75.75 0 0 0 .75-.75a2.25 2.25 0 0 0-.1-.664m-5.8 0A2.251 2.251 0 0 1 13.5 2.25H15a2.25 2.25 0 0 1 2.15 1.586m-5.8 0c-.376.023-.75.05-1.124.08C9.095 4.01 8.25 4.973 8.25 6.108V8.25m0 0H4.875c-.621 0-1.125.504-1.125 1.125v11.25c0 .621.504 1.125 1.125 1.125h9.75c.621 0 1.125-.504 1.125-1.125V9.375c0-.621-.504-1.125-1.125-1.125zM6.75 12h.008v.008H6.75zm0 3h.008v.008H6.75zm0 3h.008v.008H6.75z"/&gt;&lt;/svg&gt;
&lt;/span&gt;
&lt;div class="callout-content dark:text-neutral-300"&gt;
&lt;div class="callout-title font-semibold mb-1"&gt;Abstract&lt;/div&gt;
&lt;div class="callout-body"&gt;&lt;p&gt;Relationships between seismic action, system response and relevant damage levels in industrial plants require a solid background both in experimental data, due to the high level of nonlinearity and seismic input. Besides, risk and fragility analyses depend on the adoption of a huge number of seismic records usually not available in a site-specific analysis. In order to manage these issues and to gain knowledge on the definition of damage levels, limit states and performance for major-hazard industrial plant components, we present a possible approach for an experimental campaign based on a real prototype industrial steel structure. The investigation of the seismic behaviour of the reference structure will be carried out through shaking table tests. In particular, tests are focused on structural or process-related interactions that can lead to serious secondary damages as leakage in piping systems or connections with tanks and cabinets. The aforementioned test program has been possible thanks to the adoption of: (i) a number of artificial spectrum-compatible accelerograms; (ii) a ground motion model (GMM) able to generate a suite of synthetic time-histories records for specified site characteristic and earthquake scenarios. More precisely, GMM model parameters can be identified by matching the statistics of a target-recorded accelerogram to the ones of the model in terms of faulting mechanism, earthquake magnitude, source-to-site distance and site shear-wave velocity. As a result, the stochastic model, based both on these matched parameters and on filtered white-noise process, can generate the ensemble of synthetic ground motions capable of capturing the main features of real earthquake ground motions, including intensity, duration, spectral content and peak values. Moreover, the synthetic records are selected to target specific damages and limit states in industrial components. Finally, by means of the combination of artificial and synthetic accelerograms, a seismic vulnerability assessment of both the whole structure and relevant industrial components&lt;/p&gt;&lt;/div&gt;
&lt;/div&gt;
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&lt;/script&gt; --&gt;</description></item><item><title>A ground motion model for seismic vulnerability assessment of prototype industrial plants</title><link>https://cnardin.github.io/it/publication/conferences/2020-eurodyn-spif/</link><pubDate>Wed, 24 Jun 2020 00:00:00 +0000</pubDate><guid>https://cnardin.github.io/it/publication/conferences/2020-eurodyn-spif/</guid><description>
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data-callout-metadata=""&gt;
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&lt;svg height="24" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"&gt;&lt;path fill="none" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.5" d="M9 12h3.75M9 15h3.75M9 18h3.75m3 .75H18a2.25 2.25 0 0 0 2.25-2.25V6.108c0-1.135-.845-2.098-1.976-2.192a48.424 48.424 0 0 0-1.123-.08m-5.801 0c-.065.21-.1.433-.1.664c0 .414.336.75.75.75h4.5a.75.75 0 0 0 .75-.75a2.25 2.25 0 0 0-.1-.664m-5.8 0A2.251 2.251 0 0 1 13.5 2.25H15a2.25 2.25 0 0 1 2.15 1.586m-5.8 0c-.376.023-.75.05-1.124.08C9.095 4.01 8.25 4.973 8.25 6.108V8.25m0 0H4.875c-.621 0-1.125.504-1.125 1.125v11.25c0 .621.504 1.125 1.125 1.125h9.75c.621 0 1.125-.504 1.125-1.125V9.375c0-.621-.504-1.125-1.125-1.125zM6.75 12h.008v.008H6.75zm0 3h.008v.008H6.75zm0 3h.008v.008H6.75z"/&gt;&lt;/svg&gt;
&lt;/span&gt;
&lt;div class="callout-content dark:text-neutral-300"&gt;
&lt;div class="callout-title font-semibold mb-1"&gt;Abstract&lt;/div&gt;
&lt;div class="callout-body"&gt;&lt;p&gt;Relationships between seismic action, system response and relevant damage levels in industrial plants require a solid background both in experimental data, due to the high level of nonlinearity, and in knowledge of seismic input due to large uncertainty. Besides, risk and fragility analyses depend on the adoption of a huge number of seismic records usually not available in a site-specific analysis. In order to manage these issues and to gain knowledge on the definition of damage levels, limit states and performance for major-hazard industrial plant components, we present a possible approach and discuss results of an experimental campaign based on a real prototype industrial steel structure. The investigation of the seismic behaviour of the reference structure has been carried on through shaking table tests, focusing in particular on the structural or process-related interactions that can lead to serious secondary damages as leakage in piping systems or connections with tanks and cabinets. This has been possible thanks to the adoption of a ground motion model (GMM) able to generate a suite of synthetic time-histories records for specified site characteristic and earthquake scenarios. In fact, model parameters can be identified by matching the statistics of a target-recorded accelerogram to the ones of the model in terms of faulting mechanism, earthquake magnitude, source-to-site distance and site shear-wave velocity. Hence, the stochastic model, based both on these matched parameters and on filtered white-noise process, generates the ensemble of synthetic ground motions capable to capture the main features of real earthquake ground motions, including intensity, duration, spectral content and peak values. Finally, by means of the combination of a high-fidelity and a low-fidelity FE model as well as the stochastic input generated by a GMM, a seismic vulnerability assessment of both industrial components and the global structure can be carried out.&lt;/p&gt;&lt;/div&gt;
&lt;/div&gt;
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&lt;/script&gt; --&gt;</description></item><item><title>Investigation of the seismic behaviour of structural and non-structural components in industrial facilities by means of shaking table tests</title><link>https://cnardin.github.io/it/publication/conferences/2020-sedif-spif/</link><pubDate>Wed, 04 Mar 2020 00:00:00 +0000</pubDate><guid>https://cnardin.github.io/it/publication/conferences/2020-sedif-spif/</guid><description>
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&lt;div class="callout-content dark:text-neutral-300"&gt;
&lt;div class="callout-title font-semibold mb-1"&gt;Abstract&lt;/div&gt;
&lt;div class="callout-body"&gt;&lt;p&gt;Industrial facilities consist of a primary load-carrying structure and of process components, such as vessels, tanks, piping and cabinets, that can be seriously damaged by earthquakes. Within the SPIF project (Seismic Performance of Multi-Component Systems in Special Risk Industrial Facilities), funded by the European H2020 SERA Transnational Access programme, a full-scale three-storey industrial steel frame equipped with vertical and horizontal vessels, a cabinet and connecting pipes was tested on the shaking table of the EUCENTRE laboratories in Pavia, Italy. This contribution presents the test structure, its installations and the measurement plan, with accelerations and relative displacements of the components and pipe sections recorded at increasing peak ground acceleration levels, with the aim of supporting design recommendations for the seismic performance of vessels, pipes and their connections.&lt;/p&gt;&lt;/div&gt;
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&lt;div class="callout-title font-semibold mb-1"&gt;Suggerimento&lt;/div&gt;
&lt;div class="callout-body"&gt;&lt;p&gt;Click the &lt;em&gt;Cite&lt;/em&gt; button above to copy &lt;em&gt;.bib&lt;/em&gt; publication metadata into your notes.
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&lt;/div&gt;</description></item><item><title>An example journal article</title><link>https://cnardin.github.io/it/publication/articles/2025-a/</link><pubDate>Tue, 01 Sep 2015 00:00:00 +0000</pubDate><guid>https://cnardin.github.io/it/publication/articles/2025-a/</guid><description>
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&lt;p&gt;Add the publication&amp;rsquo;s &lt;strong&gt;full text&lt;/strong&gt; or &lt;strong&gt;supplementary notes&lt;/strong&gt; here. You can use rich formatting such as including
.&lt;/p&gt;</description></item><item><title>SPIF - Prestazioni sismiche degli impianti industriali</title><link>https://cnardin.github.io/it/projects/spif/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://cnardin.github.io/it/projects/spif/</guid><description>&lt;h3 id="obiettivi-del-progetto"&gt;Obiettivi del progetto&lt;/h3&gt;
&lt;p&gt;L&amp;rsquo;obiettivo del progetto
(&lt;em&gt;Seismic Performance of Multi-Component Systems in Special Risk Industrial Facilities&lt;/em&gt;) è lo studio olistico del comportamento sismico di impianti industriali dotati di tecnologie di processo complesse, tramite prove su tavola vibrante.
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&lt;div class="w-full" &gt;&lt;img src="./featured.png" alt="SPIF" loading="lazy" data-zoomable /&gt;&lt;/div&gt;
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&lt;h3 id="pubblicazioni-correlate"&gt;Pubblicazioni correlate&lt;/h3&gt;
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