Technical Papers
Feb 25, 2021

Cloud-IDA-MSA Conversion of Fragility Curves for Efficient and High-Fidelity Resilience Assessment

Publication: Journal of Structural Engineering
Volume 147, Issue 5

Abstract

In performance-based earthquake engineering framework, seismic fragility functions play a fundamental role for quantifying the seismic resilience. There are three main approaches for performing the seismic fragility analysis: cloud analysis, incremental dynamic analysis (IDA), and multiple strip analysis (MSA). These approaches require different levels of computational efforts and yield different levels of accuracy on fragility curve estimates, leading to different predictions of seismic resilience. This paper presents an efficient method for converting fragility curves from the cloud to IDA and MSA and from IDA to MSA toward an efficient and high-fidelity resilience assessment. The proposed method requires two fragility points to obtain the fragility median and dispersion parameters that yield converted fragility curves agreeing with the target fragility curves. This method and associated resilience assessment are demonstrated through two case studies, one a typical two-span highway bridge in firm ground under longitudinal seismic excitations and the other an extended pile-shaft-supported bridge in liquefaction-induced laterally spreading ground under transverse seismic excitations. The results show that the converted fragility curves coincide very well with the target fragility curves. An efficient and high-fidelity resilience assessment can be achieved leveraging the proposed method. For easy implementation, codes of the proposed method are available online.

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Data Availability Statement

Some or all data, models, and codes that support the findings of the study are available from the corresponding author upon reasonable request.

Acknowledgments

This research was partially supported by National Natural Science Foundation of China (Grant Nos. 51708527 and 52008155) and China Postdoctoral Science Foundation (Grant Nos. 2018M640448 and 2019T120380). The authors greatly acknowledge the constructive comments given by the anonymous reviewers.

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Go to Journal of Structural Engineering
Journal of Structural Engineering
Volume 147Issue 5May 2021

History

Received: Jun 22, 2020
Accepted: Jan 6, 2021
Published online: Feb 25, 2021
Published in print: May 1, 2021
Discussion open until: Jul 25, 2021

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Yutao Pang
Associate Professor, Faculty of Engineering, China Univ. of Geosciences, 338 Lumo Rd., Wuhan 430074, China.
Postdoctoral Scholar, Dept. of Civil and Environmental Engineering, Case Western Reserve Univ., Cleveland, OH 44106; formerly, Postdoctoral Scholar, College of Civil and Transportation Engineering, Hohai Univ., Nanjing, Jiangsu 210024, China (corresponding author). ORCID: https://orcid.org/0000-0002-4168-4328. Email: [email protected]

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