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Cumulative damage modeling for RC girder bridges under probabilistic multiple earthquake scenarios

  • Lang Liu (School of Civil Engineering, Chongqing Jiaotong University ) ;
  • Hao Luo (School of Civil Engineering, Chongqing Jiaotong University ) ;
  • Mingming Wang (Sichuan Earthquake Agency) ;
  • Yanhang Wang (School of Civil Engineering, Chongqing Jiaotong University ) ;
  • Changqi Zhao (School of Civil Engineering, Chongqing Jiaotong University ) ;
  • Nanyue Shi (School of Civil Engineering, Chongqing Jiaotong University )
  • Received : 2024.06.04
  • Accepted : 2024.07.22
  • Published : 2024.10.25

Abstract

This study proposes a comprehensive methodology for estimating accumulative damage of bridge structures under multiple seismic excitations, in the framework of site-specific probabilistic hazard analysis. Specifically, a typical earthquake-prone region in China is chosen to perform probabilistic seismic hazard analysis (PSHA) to find the mean annual rate (MAR) of ground motion intensity at a specific level, based on which, a mass of ground motion observations is selected to construct random earthquake sequences with various number of shocks. Then, nonlinear time history analysis is implemented on the finite element (FE) model of a RC girder bridge at the site of interest, to investigate structural responses under different earthquake sequences, and to develop predictive model for cumulative damage computation, in which, a scalar seismic intensity measure (IM) is adopted and its performance in damage prediction is discussed by an experimental column. Furthermore, a mathematic model is established to calculate occurrence probability of earthquakes with various number of shocks, based on PSHA and homogenous Poisson random process, and a modified cumulative damage indicator is proposed, accounting for probabilistic occurrence of various earthquake scenarios. At end, the applicability of the proposed methodology to main shock and aftershock scenarios is validated, and characteristics of damage accumulation under different multiple earthquake scenarios are discussed.

Keywords

Acknowledgement

The authors would acknowledge the financial support of the Natural Science Foundation of China (Grant No. 51708069), the Natural Science Foundation of Chongqing (Grant No. cstc2018jcyjA2535) and Team Building Project for Graduate Tutors in Chongqing (Grant No. JDDSTD2022003).

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