Digital twin-based collapse fragility assessment of a long-span cable-stayed bridge under strong earthquakes

Kaiqi Lin, You Lin Xu, Xinzheng Lu, Zhongguo Guan, Jianzhong Li

Research output: Journal article publicationJournal articleAcademic researchpeer-review

45 Citations (Scopus)


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.

Original languageEnglish
Article number103547
JournalAutomation in Construction
Publication statusPublished - Mar 2021


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

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Civil and Structural Engineering
  • Building and Construction


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