Abstract

This study aims to establish a probabilistic capacity model of a wall pier under various damage states, and the seismic vulnerability of a typical wall pier bridge is studied. The finite element analysis of the wall pier is carried out by using the layered shell element, and its accuracy is verified through the comparison with the experimental results. A series of wall pier samples are generated based on the survey data, and the corresponding finite element models are established. The hysteresis analysis is implemented to obtain the displacement drift ratio of each seismic performance point. A candidate capacity model with various factors is proposed, and the unknown parameters are estimated and filtered by the Bayesian method. One hundred and twenty bridge samples of a benchmark bridge are generated by considering the uncertainty of parameters, and the finite element models are established. The bridge samples and ground motions were matched by one-to-one correspondence for the nonlinear time history analysis, and seismic vulnerability models of bridge components and system are obtained. The results showed that the in-plane capacity of wall piers is mainly affected by axial compression ratio, shear span ratio, and vertical reinforcement ratio. The wall pier shows excellent behavior in the earthquakes. The capacity models of wall piers can be used for evaluating the damage states of wall piers, and obtaining the seismic vulnerability model of wall piers bridges to be used for future seismic risk assessment and retrofit prioritization.

Highlights

  • Seismic damage of bridge structures will cause serious economic losses and significant difficulties in disaster relief and post-disaster reconstruction

  • There are some gaps to be filled: (1) Formerly used finite elements such as fiber-based beam-column element are not quite suitable for the simulation of wall piers, and some newly-developed finite elements have not been applied to this field; (2) The seismic capacity models of common pier columns developed in previous studies cannot be applied to the wall pier, a parameter-dependent capacity model is worth further developing

  • Aboshadi investigated the wall pier girder bridges in the United States and established seven wall pier experimental components that were subjected to out-of-plane cyclic loading, with the result that flexural failure occurred in all experimental components

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Summary

Introduction

Seismic damage of bridge structures will cause serious economic losses and significant difficulties in disaster relief and post-disaster reconstruction. Aboshadi investigated the wall pier girder bridges in the United States and established seven wall pier experimental components that were subjected to out-of-plane cyclic loading, with the result that flexural failure occurred in all experimental components. Hidalgo et al [6] studied the seismic performance of the low-rise shear wall and conducted hysteresis analysis on the components with different shear span ratios, reinforcement ratios and compressive strengths of concrete, found that all the structural parameters had a significant influence on displacement drift ratios of the components under various damage states. One hundred and twenty finite element models of these samples are subjected to one earthquake event, respectively, by means of time-history analysis On this basis, the seismic demand of each vulnerable component is obtained. The seismic vulnerabilities of the components are obtained by using maximum likelihood estimation method. [7] It is based on the damage samples which generated from abovementioned demand samples and capacity samples, and the corresponding IM values The bridge system is regarded as a series system to calculate its seismic vulnerability

Finite Element Model of Wall Pier
Schematic
Probabilistic
Dipiction
Probabilistic in-plane capability model of wall piers
Bearing and abutment limit states
Bridge Sample Establishment
Elevation
Time-History Analysis
Seismic Vulnerability of Wall Pier Bridges
Seismic vulnerability of wall pier bridges
Conclusions
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