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Betweenness Centrality-Based seismic risk management for bridge transportation networks

Authors
Chen, MengdieMangalathu, SujithJeon, Jong-Su
Issue Date
Aug-2023
Publisher
ELSEVIER SCI LTD
Keywords
Betweenness centrality; Bridge network; Bridge ranking; Earthquake; Retrofitting; New construction
Citation
ENGINEERING STRUCTURES, v.289, pp.1 - 9
Indexed
SCIE
SCOPUS
Journal Title
ENGINEERING STRUCTURES
Volume
289
Start Page
1
End Page
9
URI
https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/186356
DOI
10.1016/j.engstruct.2023.116301
ISSN
0141-0296
Abstract
Although bridges are integral parts of transportation networks, they are vulnerable to natural hazards. The damage incurred during these natural hazards events leads to network disruptions and hinders post-event recovery. Therefore, improving the seismic performance of transportation networks is critical. This paper proposes an origin–destination pair betweenness centrality (BC)-based methodology to rank bridges according to their importance in a complex bridge network. The proposed methodology is an easy-to-use approach that considers user equilibrium and topology and significantly shorten the computational time. In addition, this study proposes two strategies including the retrofit of bridges and construction of new bridges based on the BC importance of bridges to mitigate the seismic risk of bride networks. A well-studied bridge network in California was used to demonstrate the application and the effect of different strategies was compared in this study. Bridges located at the shortest path significantly affect the seismic performance of bridge networks, indicating there is no need to rehabilitate or replace all bridges under budget constraints. Also, constructing five new bridges based on BC importance improved seismic performance of the bridge network much more than retrofitting 21 bridges. Moreover, the proposed methodology presents a significant reduction in computational time (only 1/30 compared with an existing study) in resolving the importance of bridges in a network and can be applied to provide useful information for disaster management teams to mitigate the seismic risk of bridge networks.
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COLLEGE OF ENGINEERING (DEPARTMENT OF CIVIL AND ENVIRONMENTAL ENGINEERING)
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