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author:

Chen, Libo (Chen, Libo.) [1] (Scholars:陈力波) | Tu, Yi (Tu, Yi.) [2] | He, Leqia (He, Leqia.) [3] (Scholars:何乐洽)

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Scopus SCIE

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.

Keyword:

Bayesian method capacity model seismic vulnerability uncertainty wall pier bridge

Community:

  • [ 1 ] [Chen, Libo]Fuzhou Univ, Coll Civil Engn, Fuzhou 350116, Fujian, Peoples R China
  • [ 2 ] [Tu, Yi]Fuzhou Univ, Coll Civil Engn, Fuzhou 350116, Fujian, Peoples R China
  • [ 3 ] [He, Leqia]Fuzhou Univ, Coll Civil Engn, Fuzhou 350116, Fujian, Peoples R China

Reprint 's Address:

  • 陈力波

    [Chen, Libo]Fuzhou Univ, Coll Civil Engn, Fuzhou 350116, Fujian, Peoples R China

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Source :

APPLIED SCIENCES-BASEL

ISSN: 2076-3417

Year: 2020

Issue: 3

Volume: 10

2 . 6 7 9

JCR@2020

2 . 5 0 0

JCR@2023

ESI Discipline: ENGINEERING;

ESI HC Threshold:132

JCR Journal Grade:2

CAS Journal Grade:3

Cited Count:

WoS CC Cited Count: 5

SCOPUS Cited Count: 6

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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