Technical Papers
Sep 24, 2018

Parameterized Fragility Assessment of Bridges Subjected to Hurricane Events Using Metamodels and Multiple Environmental Parameters

Publication: Journal of Infrastructure Systems
Volume 24, Issue 4

Abstract

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.

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Acknowledgments

The research was funded by the Georgia Department of Transportation under Research Project 15-01. The authors extend their sincere appreciation to GDOT engineers/research staff (Binh Bui and David Jared) for providing continuous support.

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Published In

Go to Journal of Infrastructure Systems
Journal of Infrastructure Systems
Volume 24Issue 4December 2018

History

Received: Jun 19, 2016
Accepted: May 1, 2018
Published online: Sep 24, 2018
Published in print: Dec 1, 2018
Discussion open until: Feb 24, 2019

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Authors

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Arash Saeidpour
Graduate Research Assistant, College of Engineering, Univ. of Georgia, Athens, GA 30662.
Assistant Professor, College of Engineering, Univ. of Georgia, Athens, GA 30662 (corresponding author). ORCID: https://orcid.org/0000-0001-7259-3165. Email: [email protected]
Jason Christian
Assistant Professor, College of Engineering, Univ. of Georgia, Athens, GA 30662.
Stephan Durham
Associate Professor, College of Engineering, Univ. of Georgia, Athens, GA 30662.

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