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author:

Lin, Kaiqi (Lin, Kaiqi.) [1] | Xu, You-Lin (Xu, You-Lin.) [2] | Lu, Xinzheng (Lu, Xinzheng.) [3] | Guan, Zhongguo (Guan, Zhongguo.) [4] | Li, Jianzhong (Li, Jianzhong.) [5]

Indexed by:

EI SCIE

Abstract:

Fragility analysis is widely used in seismic performance assessment of bridges but uncertainties in seismic demand and bridge modelling affect the accuracy of assessment results. This study proposes a digital twin-based collapse fragility assessment method for long-span cable-stayed bridges under strong earthquakes. A scaled long-span cable-stayed bridge and its shake table tests are taken as an example. Three finite element (FE) models of the bridge, including a design document-based FE model, a linearly updated FE model, and a nonlinearly updated FE model, are established to demonstrate the necessity of the digital twin-based assessment. Incremental dynamic analyses (IDA) are conducted to calculate the collapse fragility curves of the FE models. The assessment results are compared with the test results in terms of collapse mechanisms, collapse ground motion intensities, and collapse probabilities. It is found that the proposed method is feasible and accurate for seismic collapse assessment of long-span cable-stayed bridges.

Keyword:

Digital twin Fragility analysis Long-span cable-stayed bridge Modelling uncertainties Seismic collapse assessment Shake table tests

Community:

  • [ 1 ] [Lin, Kaiqi]Hong Kong Polytech Univ, Dept Civil & Environm Engn, Hong Kong, Peoples R China
  • [ 2 ] [Xu, You-Lin]Hong Kong Polytech Univ, Dept Civil & Environm Engn, Hong Kong, Peoples R China
  • [ 3 ] [Lin, Kaiqi]Fuzhou Univ, Coll Civil Engn, Fuzhou, Peoples R China
  • [ 4 ] [Lu, Xinzheng]Tsinghua Univ, Dept Civil Engn, China Educ Minist, Key Lab Civil Engn Safety & Durabil, Beijing, Peoples R China
  • [ 5 ] [Guan, Zhongguo]Tongji Univ, Dept Bridge Engn, Shanghai, Peoples R China
  • [ 6 ] [Li, Jianzhong]Tongji Univ, Dept Bridge Engn, Shanghai, Peoples R China

Reprint 's Address:

  • [Xu, You-Lin]Hong Kong Polytech Univ, Dept Civil & Environm Engn, Hong Kong, Peoples R China

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Source :

AUTOMATION IN CONSTRUCTION

ISSN: 0926-5805

Year: 2021

Volume: 123

1 0 . 5 1 7

JCR@2021

9 . 6 0 0

JCR@2023

ESI Discipline: ENGINEERING;

ESI HC Threshold:105

JCR Journal Grade:1

CAS Journal Grade:1

Cited Count:

WoS CC Cited Count: 69

SCOPUS Cited Count: 87

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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