Seismic Risk Assessment; |

Metodologia per la valutazione del rischio sismico integrata coi processi di recupero delle strutture mediante stima delle incertezze

Wed, 14 Jan 2026 00:00:00 +0000

ingenio

Alla pagina e intervista su : novita’ dal convegno ANIDIS 2025.

Riferimenti

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UQ based state-dependent framework for recovery and seismic risk assessment

Sun, 14 Sep 2025 00:00:00 +0000

Abstract

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.

Tipp

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CSM9 — 9th International Conference on Computational Stochastic Mechanics

Thu, 25 Jun 2026 00:00:00 +0000

CSM9 2026

9th International Conference on Computational Stochastic Mechanics, unter der Schirmherrschaft der IASSAR. Korfu, Griechenland — 21.–25. Juni 2026.

Letzte Woche hatte ich das Vergnügen, an meiner ersten Computational Stochastic Mechanics (CSM9)-Konferenz in Korfu teilzunehmen, die von Jianbing Chen, Ioannis Kougioumtzoglou und Antonina Pirrotta hervorragend organisiert wurde.

Das Single-Session-Format hat wirklich gehaltvolle Diskussionen gefördert: Es war leichter, sich mit den Vorträgen auseinanderzusetzen, Ideen auszutauschen und Forschende aus aller Welt kennenzulernen. Besonders geschätzt habe ich die vielen inspirierenden Gespräche und Diskussionen, die diese Konferenz zu einer so bereichernden Erfahrung gemacht haben.

Ich danke meinen Betreuern Marco Broccardo, Bruno Sudret und Stefano Marelli herzlich dafür, dass sie mir die Teilnahme an dieser Konferenz ermöglicht haben, um unsere erste Arbeit vorzustellen: „Reliability and Resilience Assessment via Spectral Properties of Continuous-Time Markov Chains", entstanden im Rahmen des .

Es war eine inspirierende erste CSM-Erfahrung, und ich freue mich schon auf die nächsten Ausgaben!

Book of Abstracts

C. Nardin, S. Marelli, M. Broccardo & B. Sudret — Reliability and Resilience Assessment via Spectral Properties of Continuous-Time Markov Chains CSM9 — 9th International Conference on Computational Stochastic Mechanics, Korfu, Juni 2026.

Die Teilnehmenden der CSM9-Konferenz, Korfu — Juni 2026.

WiDS Zurich 2026 — Poster & Pitch: Ein verallgemeinertes Framework für das leistungsbasierte Erdbebeningenieurwesen

Fri, 12 Jun 2026 00:00:00 +0000

WiDS Zurich 2026

Poster und Pitch auf der Konferenz — The Future of Data Science: From Trends to Impact. Swiss Re Center for Global Dialogue, Rüschlikon, Schweiz — 19. Juni 2026.

Artikel

C. Nardin, S. Marelli, B. Sudret, M. Broccardo — A generalized framework for performance-based earthquake engineering: integrated assessment of structural reliability and resilience arXiv-Preprint, Mai 2026.