Technical Papers
Aug 12, 2015

Seismic Reliability Analysis of Deteriorating Representative U.S. West Coast Bridge Transportation Networks

Publication: Journal of Structural Engineering
Volume 142, Issue 8

Abstract

For optimal functioning of societies and economies, understanding how networks of lifeline infrastructure, e.g., bridge networks, perform after a hazard is essential. Such hazard resilience can be quantified by considering the reliability of the network against disconnection or blocked network flow; however, a major challenge associated with such analysis is making sure that the component models are realistic while keeping the analysis accurate. For this reason, a methodology has been developed for realistic bridge network modeling using the following components: representative bridge classes identified by clustering a database, cutting-edge time-variant fragility models of bridges, and a multiscale network reliability analysis method, which accounts for the impact of bridge structural deterioration on network-level performance. Using the proposed methodology, the broader effects of various deterioration scenarios are investigated as well as the impacts of spatial correlation and the use of subjunctive representations of nodes in the network. The network-level relative importance of each network route is further investigated using conditional probability importance measures. Furthermore, the integrity index will be used to explore the network’s reliability and optimal strategies to improve hazard resilience.

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Acknowledgments

The research was supported in part by the Sandia National Laboratories Laboratory Directed Research and Development (LDRD) Program. Sandia Corporation is a wholly owned subsidiary of Lockheed Martin Corporation, which operates Sandia National Laboratories under its U.S. Department of Energy Contract No. DE-AC04-94AL85000. The authors would like to thank the U.S. National Science Foundation for funding under Grant Number CMMI 1031318. The second author was supported by the grant (14CCTI-A052531-07-000000) from the Ministry of Land, Infrastructure and Transport of Korean government through the Core Research Institute at Seoul National University for Core Engineering Technology Development of Super Long Span Bridge R&D Center. Any opinions, findings and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the institutes that supported the research.

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Published In

Go to Journal of Structural Engineering
Journal of Structural Engineering
Volume 142Issue 8August 2016

History

Received: Dec 26, 2013
Accepted: Jun 9, 2015
Published online: Aug 12, 2015
Discussion open until: Jan 12, 2016
Published in print: Aug 1, 2016

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Authors

Affiliations

Nolan Kurtz [email protected]
Ph.D. Student, Dept. of Civil and Environmental Engineering, Univ. of Illinois at Urbana-Champaign, Urbana, IL 61801. E-mail: [email protected]
Junho Song, M.ASCE [email protected]
Associate Professor, Dept. of Civil and Environmental Engineering, Seoul National Univ., Seoul 151-742, Republic of Korea (corresponding author). E-mail: [email protected]
Paolo Gardoni, M.ASCE [email protected]
Associate Professor, Dept. of Civil and Environmental Engineering, Univ. of Illinois at Urbana-Champaign, Urbana, IL 61801. E-mail: [email protected]

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