Cascading failure-based reliability assessment for post-seismic performance of highway bridge network

This paper proposes a novel reliability assessment framework for post-seismic performance of highway bridge network that considers cascading failures caused by traffic flow redistribution. Firstly, the fragility curve of bridge is obtained by probabilistic seismic demand model. Then, we propose the impact factor of path choice probability to characterize the cascading failure of the network. The stochastic user equilibrium assignment of highway bridge network traffic flow is calculated based on the impact factor of path choice probability. To evaluate the network's efficiency and identify the congestion-prone links, the Monte Carlo simulation method is introduced to calculate the probability density curves of different influencing parameters. Finally, the framework proposed in this paper is utilized to analyze the congestion-prone links of the transportation network of some areas of Mianyang City and verify its applicability.

Automated summary

This paper proposes a novel reliability assessment framework for post-seismic performance of highway bridge network that considers cascading failures caused by traffic flow redistribution. The framework includes obtaining the fragility curve of bridges using a probabilistic seismic demand model and characterizing the cascading failure of the network through the impact factor of path choice probability. The stochastic user equilibrium assignment and Monte Carlo simulation method are used to analyze the efficiency of the network and identify congestion-prone links.