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  <controlfield tag="003">Buklod</controlfield>
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   <subfield code="a">eng</subfield>
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   <subfield code="a">Ghosh, Jayadipta</subfield>
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  <datafield tag="245" ind1="0" ind2="0">
   <subfield code="a">Probabilistic seismic loss assessment of aging bridges using a component level cost estimation approach.</subfield>
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   <subfield code="a">pp. 1743-1761</subfield>
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   <subfield code="a">Deteriorating highway bridges in the United States and worldwide have demonstrated susceptibility to damage in earthquake events, with considerable economic consequences due to repair or replacement. Current seismic loss assessment approaches for these critical elements of the transportation network neglect the effects of aging and degradation on the loss estimate. However, the continued aging and deterioration of bridge infrastructure could not only increase susceptibility to seismic damage, but also have a significant impact on these economic losses. Furthemore, the contribution of individual aging components to system level losses, correlations between these components, and uncertainty modeling in the risk assessment and repair modeling are all crucial considerations to enhance the accuracy and confidence in bridge loss estimates. In this paper, a new methodology for seismic loss assessment of aging bridges is introduced based on the non-homogeneous Poisson process. Statistical moments of seismic losses can be efficiently estimated, such as the expected value and variance. The approach is unique in its account for time varying seismic vulnerability, uncertainty in component repair and the contribution of multiple correlated aging components. A representative case study is presented with two fundamentally distinct highway bridges to demonstrate the effects of corrosion deterioration of different bridge components is significantly higher than that found by assuming time invariant structural reliability.</subfield>
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   <subfield code="a">Highway bridges.</subfield>
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  <datafield tag="653" ind1=" " ind2=" ">
   <subfield code="a">Seismic loss assessment.</subfield>
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   <subfield code="a">Corrosion deterioration.</subfield>
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   <subfield code="a">Poisson process.</subfield>
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   <subfield code="a">Component correlation.</subfield>
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  <datafield tag="773" ind1="0" ind2=" ">
   <subfield code="t">Earthquake engineering &amp; structural dynamics.</subfield>
   <subfield code="g">40, 15 (2011).</subfield>
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