Reinforcement and optimization of seismic connectivity of key transportation hubs based on minimum cost

Cui, Hongjun; Wang, Fei; Li, Xia; Zhu, Minqing

doi:10.1016/j.physa.2019.123231

Cited by 3 publications

(1 citation statement)

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“…However, such measures do not correlate well with the functionality of transportation networks. In literature, the importance of a component in the transportation network is most commonly assessed according to the impact of removing that component from the network [39][40][41]. Although all the above methods greatly reduce the computational effort, there could be a gap between their results and the real optimal solution because none of them takes into account the uncertainties in the damage states of network components.…”

Section: Introductionmentioning

confidence: 99%

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

Liu

Zhai²,

Meng³

2022

Applied Sciences

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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.

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Section: Introductionmentioning

confidence: 99%