Applied Sciences (Sep 2022)

Probabilistic Joint Importance-Based Retrofit Strategy for Seismic Risk Mitigation of Transportation Networks

  • Kezhi Liu,
  • Changhai Zhai,
  • Xianghai Meng

DOI
https://doi.org/10.3390/app12189307
Journal volume & issue
Vol. 12, no. 18
p. 9307

Abstract

Read online

Seismic mitigation of transportation systems has become a worldwide challenge, because identifying an optimal retrofit strategy entails significant computational efforts, especially for large-scale networks with numerous candidate strategies and time-consuming risk assessment processes. An efficient joint importance-based methodology is proposed in this paper to address the challenge. The proposed method selects the component set (e.g., bridges) that is most decisive to the network seismic risk based on only one set of stochastic samples but takes into account the uncertainty of multiple damage states and the interactive effect between different components. The reliability and stability of the proposed method are verified on a hypothetical transportation network under different conditions.

Keywords