Restoration of Bridge Networks after an Earthquake: Multicriteria Intervention Optimization

Abstract

This paper presents an optimization procedure for the restoration activities associated with the bridges of a transportation network severely damaged by an earthquake. The design variables are (i) the time intervals between the occurrence of the distress and the start of the interventions on each bridge of the network; and (ii) the restoration pace of the interventions, which represents a measure of the funding allocated to each bridge. The objectives of the optimization are the maximization of the network resilience, the minimization of the time required to reach a target functionality level, and the minimization of the total cost of the restoration activities. Because the first two objectives clearly conflict with the last one, the optimization procedure does not provide a unique solution, but an entire set of Pareto solutions. A numerical example involving a complex, existing transportation network in Santa Barbara, California, illustrates the capabilities of the proposed methodology.

A risk de-aggregation framework that relates community resilience goals to building performance objectivess

“…branching and bound), or metaheuristic techniques (e.g. genetic algorithm), depending on the characteristics of the problem (Bocchini & Frangopol, 2012).…”

Seismic Resilience of a Bridge Based on Fuzzy-Probabilistic Approach

“…The case study represents a bridge in Santa Barbara in the USA, which is located on a crossroads of Route 217 and Route 101 [9]. The resilience of the bridge is considered for seismic hazards.…”

“…The resilience of the bridge is considered for seismic hazards. The research on the risk assessment has been conducted and the expected level of bridge damage is extensive damage [9]. For the expected damage state of the bridge, the resilience assessment is obtained and the possible recovery paths are obtained.…”

“…Bocchini and Frangopol (2010, 2011a, 2011b, 2011c, 2012a, 2012b have studies the reliabilty, fragility and resilience of bridge network [5][6][7][8][9][10]. They proposed a method using seismic resilience as a criterion in decision making process for optimal restoration process of bridge network.…”

Life-Cycle Design of Bridges in Seismic Regions Based on Lessons From the 2011 Great East Japan Earthquake

“…When considering the post-event operability after a giant tsunami, the fragility curve associated with the bridge pier is located to the right of that associated with the fixed bearing. The optimal resistance hierarchy must be identified taking into consideration the level of the regional seismic and tsunami hazards, functionality loss (i.e., traffic capacity loss) after an event, economic impacts, time to restore the bridge, and lifecycle costs [22,23]. The relationship between bridge damage and the resulting loss of functionality of the bridge must be considered when assessing the impact of an event on the performance of the transportation network.…”