Abstract
AbstractFor 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 subjun...
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