MATEC Web Conf.
Volume 271, 20192019 Tran-SET Annual Conference
|Number of page(s)||5|
|Published online||09 April 2019|
Evaluating the Hydrodynamic Response of Coastal Bridges during an Extreme Weather Event
Department of Civil and Environmental Engineering, University of Texas at San Antonio, San Antonio, TX 78249
2 Department of Mechanical Engineering, University of Texas at San Antonio, San Antonio, TX 78249
* Corresponding author: email@example.com
The frequency and intensity of recent hurricanes have demonstrated the need of taking proactive actions to prevent major damages during an extreme weather event. This work presents the results of a numerical study evaluating the hydrodynamic response of coastal bridges during an extreme hurricane event. A finite element model of a concrete bridge girder superstructure with a pier-substructure was developed in the commercial software Abaqus. The Coupled Eulerian-Lagrangian technique was used to model the interaction between water waves and the bridge as the structure deformed due to wave impacts. The wave velocity and the angle of wave impact were varied in the simulation to determine their effects on the response of the bridge. It was found that the resultant shear and uplift forces increase with wave velocity, while the angle of impact only had a significant effect on the resultant shear forces. The developed numerical framework will support further studies that will investigate variations in the bridge design and construction practices in order to enhance the resilience of coastal bridges against extreme weather events.
© The Authors, published by EDP Sciences, 2019
This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.