The development of subways is currently at its peak and underground structures including subway stations are being constructed on a large scale. However, previous research on seismic risk evaluation of underground structures mainly focuses on the analysis of influencing factors and seismic fragility. There is a lack of research on comprehensive automated seismic risk evaluation from a macro perspective based on economic losses, casualties, disaster relief costs and post-earthquake recovery time etc. The emergence of semantic web technologies provides an effective way for multi-objective automated seismic risk evaluation of subway stations. This paper aims to develop a framework for comprehensive seismic risk evaluation of subway stations based on Monte Carlo simulation and ontology theory. In the developed framework, the seismic risk probabilities of subway stations are determined using Monte Carlo simulation. Taking economic losses, casualties, disaster relief costs and post-earthquake recovery time as indicators, an ontology-based model for seismic risk evaluation of subway stations is then developed by combining the knowledge base and the semantic web rules to achieve automated evaluations. A case study is also conducted to demonstrate the practicability of the proposed framework and further validate the semantic web rule language and the semantic query-enhanced web rule language

目前地铁的发展正处于高峰期，包括地铁站在内的地下结构正在大规模建设中。然而，以往对地下结构地震风险评价的研究主要集中在影响因素分析和地震易损性分析上。基于经济损失、人员伤亡、救灾成本和震后恢复时间等宏观视角综合自动化地震风险评估的研究较少，语义网技术的出现为多目标自动化地震评估提供了有效途径地铁站点风险评估 本文旨在开发一种基于蒙特卡罗模拟和本体理论的地铁车站地震风险综合评价框架。在开发的框架中，地铁站的地震风险概率是使用蒙特卡洛模拟确定的。以经济损失、人员伤亡、救灾费用和震后恢复时间为指标，结合知识库和语义网规则，建立基于本体的地铁车站地震风险评估模型，实现自动化评估。还进行了案例研究，以证明所提出框架的实用性，并进一步验证语义 web 规则语言和语义查询增强的 web 规则语言 然后，结合知识库和语义网规则，开发了基于本体的地铁车站地震风险评估模型，实现了自动化评估。还进行了案例研究，以证明所提出框架的实用性，并进一步验证语义 web 规则语言和语义查询增强的 web 规则语言 然后，结合知识库和语义网规则，开发了基于本体的地铁车站地震风险评估模型，实现了自动化评估。还进行了案例研究，以证明所提出框架的实用性，并进一步验证语义 web 规则语言和语义查询增强的 web 规则语言