Rapid Risk Assessment and Decision Support for Urban Infrastructure Networks by Matrix-Based System Reliability Method

Song, Junho; Ok, Seung-Yong; Chang, Liang

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Rapid Risk Assessment and Decision Support for Urban Infrastructure Networks by Matrix-Based System Reliability Method

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Title:	Rapid Risk Assessment and Decision Support for Urban Infrastructure Networks by Matrix-Based System Reliability Method
Author(s):	Song, Junho; Ok, Seung-Yong; Chang, Liang
Subject(s):	infrastructure networks Risk assessment multi-scale network reliability analysis spatial correlation seismic demands rapid risk assessment decision support
Abstract:	Risk assessment of urban infrastructure networks under natural and man-made hazards is often performed by repeated computational simulations based on random samples of hazard scenarios and corresponding component status. This sampling-based approach may prevent near-real-time application of probabilistic methods to hazard mitigation of infrastructure networks and risk-informed decision support. This paper proposes a non-sampling-based, multi-scale network reliability analysis approach based on the recently proposed matrix-based system reliability method. This approach accounts for the spatial correlation of seismic demands and uses the disjoint cut sets and link sets identified by a state-of-the-art network analysis algorithm. The paper demonstrates the proposed approach through a case study of a Memphis Light, Gas and Water natural gas network to identify the opportunities and challenges in rapid risk assessment and decision support for urban infrastructure networks.
Issue Date:	2008-05
Citation Info:	Junho Song, Seung-Yong Ok, and Liang Chang. Rapid Risk Assessment and Decision Support for Urban Infrastructure Networks by Matrix-Based System Reliability Method, Inaugural International Conference of the Engineering Mechanics Institute (EM'08), Minneapolis, Minnesota, May 18-21, 2008.
Genre:	Conference Paper / Presentation
Type:	Text
Language:	English
URI:	http://hdl.handle.net/2142/5125
Publication Status:	published or submitted for publication
Peer Reviewed:	is peer reviewed
Date Available in IDEALS:	2008-04-11