基于改进投影寻踪的城市轨道交通基础设施韧性评估研究OA

Conducting resilience analysis and assessment of typical transportation infrastructure is the foundation for identifying critical facility nodes and enhancing the ability to respond to emergencies.To solve the problems of long operating time,accelerated equipment aging,and numerous safety hazards in urban rail transit infrastructure,starting from the structural characteristics and failure modes of the infrastructure,a fault tree model was established to analyze the failure mechanisms and probabilities of the facilities and identify the critical failure modes.The influencing factors of resilience were analyzed from three aspects:resistance,recovery,and adaptability,and based on this,a resilience assessment indicator system was constructed.The resilience levels of typical urban rail transit infrastructure were assessed using a projection pursuit evaluation algorithm based on improved particle swarm optimization,and vulnerable indicators were determined based on the optimal projection direction.Nanjing Metro Line 2 was taken as an example for verification.The results show that 40%of the stations have a high resilience level,reaching Grade Ⅳ;45%of the stations have a moderate resilience level;the remaining 15%of the stations have a low resilience level.The maintenance strategies proposed for the vulnerable indicators can provide an effective reference for improving the resilience of urban rail transit infrastructure.