考虑多功能状态的地铁车站体系的震后功能评估

POST-EARTHQUAKE FUNCTIONAL ASSESSMENT OF THE MULTI-FUNCTIONAL STATE OF SUBWAY STATION SYSTEMS

  • 摘要: 地铁车站是城市轨道交通系统的重要组成部分,地震作用下车站内结构构件、非结构构件和设备设施等各类组件不同程度破坏均会导致地铁车站各类功能下降或丧失。现有研究缺乏地铁车站体系震后功能状态的整体评估模型,本文基于真实地铁车站地震破坏和恢复记录,明确了地铁车站体系的震后功能需求,并据此将地铁车站体系的震后功能状态划分为5个;将车站体系表示为由主体结构、乘降、供电、信号等7类子系统组成的体系,基于故障树模型表示子系统功能所需组件单元、不同子系统之间的关联关系、以及子系统对地铁车站体系震后功能的影响;通过Monte Carlo模拟随机抽样获取组件震后状态,并利用故障树分析子系统和地铁车站体系的震后功能状态。结果表明,随着地铁车站体系震后功能需求的降低,体系功能失效概率曲线中位数随之增大,最高要求的功能状态I对应的中位数是最低要求的功能状态V对应的中位数的20%。同一个组件单元,在不同的体系功能中的重要度差异可达17倍。

     

    Abstract: Subway station is an important part of urban rail transit system. Varying degrees of seismic damage to structural components, non-structural components, and equipment facilities within the stations can lead to a decline or loss of various functions of the subway stations. Existing research lacks a comprehensive model for evaluating the post-earthquake functional state of subway station systems. This study, based on real seismic damage and recovery records of subway stations, clearly defines the post-earthquake functional requirements of subway station systems and categorizes the post-earthquake functional state of subway station systems into five types. The subway station system is represented as a system composed of seven sub-systems, i.e., main structure, staircases/escalators facilities for passengers, power supply, signal, et al. The fault tree model are used to represent the component units required for sub-systems functions, the interdependency between different sub-systems, and the impact of sub-systems on the post-earthquake functionality of the subway station systems. The Monte Carlo simulation method is used to randomly sample component units and obtain their post-earthquake states, and the fault tree is used to analyze the post-earthquake functional state of sub-systems and subway station systems. The results demonstrate that with the decrease of the post-earthquake functional requirements of subway station systems, the median failure probability curve of the system function increases, and the median failure probability curve of the highest required functional state I is 20% of the lowest required functional state V. The importance of the same component unit in different functional states of the system can be up to 17 times different.

     

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