Probabilistic demand models and fragilities for reinforced concrete frame structures subject to mainshock-aftershock sequences

Zhou Zhou, Hao Xu, Paolo Gardoni, Dagang Lu, Xiaohui Yu

Research output: Contribution to journalArticlepeer-review

Abstract

This paper presents a formulation for developing seismic demand models and estimating fragilities for reinforced concrete (RC) structures under mainshocks (MSs) only and mainshock-aftershock (MS-AS) sequences. The demand model for the MS only is a function of the MS intensity, while the model for the MS-AS sequence is a function of two variables, one describing the MS and one describing the AS. A Bayesian method is used to calibrate the demand models. The demand models are then used to estimate the fragility of RC structures. Predictive fragility curves are developed to include the uncertainties in the model parameters estimated by Bayesian approach, and confidence bounds of the fragility curves are developed to separate the effects of the uncertainty in the model parameters from the other sources of uncertainties. The proposed formulation is illustrated using a typical five-story RC frame building. The results show that the fragility curves for MS only tend to significantly underestimate the fragility curves for MS-AS sequences. Also, the uncertainty in the fragilities for the MS-AS sequence is, as expected, larger than that considering only the MS.

Original languageEnglish (US)
Article number112904
JournalEngineering Structures
Volume245
DOIs
StatePublished - Oct 15 2021

Keywords

  • Bayesian updating
  • Mainshock-aftershock impacts
  • Probabilistic modeling
  • Seismic damage evaluation
  • Structural reliability

ASJC Scopus subject areas

  • Civil and Structural Engineering

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