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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]

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EI

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. © 2021 Elsevier B.V.

Keyword:

Buffeting Cables Cable stayed bridges Digital twin Earthquake effects Earthquake engineering Uncertainty analysis

Community:

  • [ 1 ] [Lin, Kaiqi]Department of Civil and Environmental Engineering, The Hong Kong Polytechnic University, Hong Kong
  • [ 2 ] [Lin, Kaiqi]College of Civil Engineering, Fuzhou University, Fuzhou, China
  • [ 3 ] [Xu, You-Lin]Department of Civil and Environmental Engineering, The Hong Kong Polytechnic University, Hong Kong
  • [ 4 ] [Lu, Xinzheng]Key Laboratory of Civil Engineering Safety and Durability of China Education Ministry, Department of Civil Engineering, Tsinghua University, Beijing, China
  • [ 5 ] [Guan, Zhongguo]Department of Bridge Engineering, Tongji University, Shanghai, China
  • [ 6 ] [Li, Jianzhong]Department of Bridge Engineering, Tongji University, Shanghai, 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 HC Threshold:105

JCR Journal Grade:1

CAS Journal Grade:1

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 87

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 2

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