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A platform for research: civil engineering, architecture and urbanism
Parameterized Fragility Assessment of Bridges Subjected to Hurricane Events Using Metamodels and Multiple Environmental Parameters
A vulnerability assessment of bridges subjected to hurricane events is beneficial to policy makers prioritizing their critical assets for inspection, maintenance, and retrofit. The proposed parameterized fragility assessment effectively builds a relationship between the hurricane hazard intensity/bridge parameters and bridge response by implementing a metamodeling approach, and produces a fragility surface which describes the probability of failure in terms of two hazard intensity measures: wind speed and water elevation. These environmental parameters are practical indicators of hazard intensity. The independent variables comprise bridge material/geometric parameters as well as hazard intensity parameters, and the output parameters represent a binary classification of bridge failure or no-failure states. The proposed approach is used in a vulnerability assessment of Georgia’s coastal bridges using three-dimensional finite-element models. One thousand five hundred statistical samples are generated using a range of parameters determined from common bridge types to study seven metamodels. The results indicate that the random forest model is the most suitable in predicting hurricane-induced failure, and that fragility surfaces are successfully created for two hazard intensity parameters.
Parameterized Fragility Assessment of Bridges Subjected to Hurricane Events Using Metamodels and Multiple Environmental Parameters
A vulnerability assessment of bridges subjected to hurricane events is beneficial to policy makers prioritizing their critical assets for inspection, maintenance, and retrofit. The proposed parameterized fragility assessment effectively builds a relationship between the hurricane hazard intensity/bridge parameters and bridge response by implementing a metamodeling approach, and produces a fragility surface which describes the probability of failure in terms of two hazard intensity measures: wind speed and water elevation. These environmental parameters are practical indicators of hazard intensity. The independent variables comprise bridge material/geometric parameters as well as hazard intensity parameters, and the output parameters represent a binary classification of bridge failure or no-failure states. The proposed approach is used in a vulnerability assessment of Georgia’s coastal bridges using three-dimensional finite-element models. One thousand five hundred statistical samples are generated using a range of parameters determined from common bridge types to study seven metamodels. The results indicate that the random forest model is the most suitable in predicting hurricane-induced failure, and that fragility surfaces are successfully created for two hazard intensity parameters.
Parameterized Fragility Assessment of Bridges Subjected to Hurricane Events Using Metamodels and Multiple Environmental Parameters
Saeidpour, Arash (author) / Chorzepa, Mi G. (author) / Christian, Jason (author) / Durham, Stephan (author)
2018-09-24
Article (Journal)
Electronic Resource
Unknown
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