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UQ state-dependent framework for seismic fragility assessment of industrial components

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  • Nardin, Chiara
  • Marelli, Stefano
  • Bursi, Oreste S.
  • Sudret, Bruno
  • Broccardo, Marco

Abstract

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.

Suggested Citation

  • Nardin, Chiara & Marelli, Stefano & Bursi, Oreste S. & Sudret, Bruno & Broccardo, Marco, 2025. "UQ state-dependent framework for seismic fragility assessment of industrial components," Reliability Engineering and System Safety, Elsevier, vol. 261(C).
  • Handle: RePEc:eee:reensy:v:261:y:2025:i:c:s0951832025002686
    DOI: 10.1016/j.ress.2025.111067
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    References listed on IDEAS

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    1. Pang, Rui & Zai, Dezhi & Xu, Bin & Liu, Jun & Zhao, Chunfeng & Fan, Qunying & Chen, Yuting, 2023. "Stochastic dynamic and reliability analysis of AP1000 nuclear power plants via DPIM subjected to mainshock-aftershock sequences," Reliability Engineering and System Safety, Elsevier, vol. 235(C).
    2. Wang, Jian & Sun, Zhili & Cao, Runan, 2021. "An efficient and robust Kriging-based method for system reliability analysis," Reliability Engineering and System Safety, Elsevier, vol. 216(C).
    3. Xing, Lili & Gardoni, Paolo & Zhou, Ying & Zhang, Peng, 2025. "DNN-metamodeling and fragility estimate of high-rise buildings with outrigger systems subject to seismic loads," Reliability Engineering and System Safety, Elsevier, vol. 253(C).
    4. Sudret, Bruno, 2008. "Global sensitivity analysis using polynomial chaos expansions," Reliability Engineering and System Safety, Elsevier, vol. 93(7), pages 964-979.
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    Cited by:

    1. Men, Jinkun & Chen, Guohua, 2026. "Multi-hazard coupling fragility analysis for steel cylindrical tanks subjected to earthquake-tsunami sequence," Reliability Engineering and System Safety, Elsevier, vol. 269(C).
    2. Yan, Yexiang & Xie, Yazhou & Xia, Ye & Sun, Limin, 2026. "Systematic investigation on surrogate and active learning-based multivariate seismic fragility analysis under multiple sources of uncertainties," Reliability Engineering and System Safety, Elsevier, vol. 265(PB).

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