An ontology-based probabilistic framework for comprehensive seismic risk evaluation of subway stations by combining Monte Carlo simulation. (May 2023)

• Record Type: Journal Article
• Authors: Cui, Chunyi; Xu, Minze; Xu, Chengshun; Zhang, Peng; Zhao, Jingtong
• Is Part Of: Tunnelling and underground space technology. Volume 135(2023)
• Publication Date: 2023-05
• Subjects: Subway station -- Seismic risk evaluation -- Monte Carlo simulation -- Ontology -- Semantic web rules; Tunneling -- Periodicals; Underground construction -- Periodicals; Tunnels -- Periodicals; Underground areas -- Periodicals; 624.193
• DOI: 10.1016/j.tust.2023.105055
• Languages: English
• ISSNs: 0886-7798

Abstract

Abstract: 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 Highlights: A framework for comprehensive seismic risk evaluation of subway station is proposed The probabilistic framework is combined with ontology and vulnerability analysis A knowledge-based system is developed by semantic web rule language A case study is also carried out to validate the semantic web rules