Ground motion model for seismic vulnerability assessment of prototype industrial plants

Jul 19, 2020·
Chiara Nardin
Chiara Nardin
,
Rocco di Filippo
,
Roberto Endrizzi
,
Igor Lanese
,
Fabrizio Paolacci
,
Oreste S. Bursi
· 2 min read
from the article
Abstract
This study presents an experimental, shaker-table-based approach to define seismic damage levels and fragility for industrial steel structures, utilizing synthetic, site-specific ground motions and artificial accelerograms to analyze structural and component interactions, specifically targeting pipe/tank connections, as discussed in the text provided.
Type
Publication
Proceedings of the ASME 2020 Pressure Vessels and Piping Conference, PVP2020
publication
Abstract

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

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Chiara Nardin
Authors
MSCA PostDoc at ETH Zurich (Switzerland) and UniTn (Italy)
Structural engineer and MSCA fellow working on seismic risk, fragility modelling, and uncertainty quantification for complex industrial systems at ETH Zurich and the University of Trento.