Abstract
ABSTRACT This study proposes the use of bridge clusters, defined as Corridors, to support optimal bridge retrofitting strategies for seismic risk management of road networks. A Corridor is defined as a set of bridges that works jointly to ensure connectivity and traffic flow between different areas of a region. To detect Corridors, a Markov Clustering Algorithm is proposed. Using the San Francisco Bay Area road network as a testbed, this clustering technique selects sets of bridges that correspond to main traffic arteries such as highways and high-capacity road segments. After Corridors have been detected, a two-stage stochastic optimization is implemented to detect which bridges should be retrofitted to ensure an acceptable network performance. This optimization couples retrofitting actions in a Corridor with the repair actions to damaged bridges after an earthquake. The Corridors-Supported Optimization decreases road network disruption more than other approaches based on ranking bridges according to their traffic capacity or location in the network.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have