Optimal bridge retrofit strategy to enhance disaster resilience of highway transportation systems.
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2014-07-01
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Abstract:This study evaluated the resilience of highway bridges under the multihazard scenario of earthquake in the presence of ; flood-induced scour. To mitigate losses incurred from bridge damage during extreme events, bridge retrofit strategies are ; selected such that the retrofit not only enhances bridge performance, but also improves resilience of the system consisting ; of these bridges. The first part of the report focuses on the enhancement of seismic resilience of bridges through retrofit. To ; obtain results specific to a bridge, a reinforced concrete bridge in the Los Angeles region was analyzed. This bridge was ; severely damaged during the Northridge earthquake due to shear failure of one bridge pier. A seismic vulnerability model of ; the bridge was developed through finite element analysis under a suite of time histories that represent regional seismic ; hazard. The obtained bridge vulnerability model was combined with appropriate loss and recovery models to calculate the ; seismic resilience of the bridge. The impact of retrofit on seismic resilience was observed by applying a suitable retrofit ; strategy to the bridge, assuming its undamaged condition prior to the Northridge event. A difference in resilience observed ; before and after bridge retrofit signified the effectiveness of seismic retrofit. The applied retrofit technique was also found to ; be cost effective through a cost-benefit analysis. A first-order, second-moment reliability analysis was performed and a ; tornado diagram developed to identify major uncertain input parameters to which seismic resilience is most sensitive. ; Statistical analysis of resilience obtained through random sampling of major uncertain input parameters revealed that the ; uncertain nature of seismic resilience can be characterized with a normal distribution, the standard deviation of which ; represents the uncertainty in seismic resilience. An optimal (with respect to cost and resilience) bridge retrofit strategy under ; multihazard was obtained in the second phase of this study. A multi-objective evolutionary algorithm, namely Non-dominated ; Sorting Genetic Algorithm II, was used. Application of this algorithm was demonstrated by retrofitting a bridge with column ; jackets and evaluating bridge resilience under the multihazard effect of earthquake and flood-induced scour. Three different ; retrofit materials—steel, carbon fiber, and glass fiber composites—were used. Required jacket thickness and cost of ; jacketing for each material differed to achieve the same level of resilience. Results from the optimization, called Pareto-optimal set, include solutions that are distinct from each other in terms of associated cost, contribution to resilience ; enhancement, and values of design parameters. This optimal set offers the best search results based on selected materials ; and design configurations for jackets.
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Main Document Checksum:urn:sha256:3d09794268823bb9daf60477bf45498839c226080a1da9e44e186c15167782ea