Structural Vulnerability of Coastal Bridges Under Extreme Hurricane Conditions [Supporting Dataset]
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2019-08-01
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Abstract:This work presents the results of a numerical study evaluating the response of coastal bridges due to hurricane-induced waves. The analyses were conducted using the Coupled Eulerian-Lagrangian (CEL) approach, available on the commercial finite element software Abaqus, which allows modeling the interaction between water and the bridge. The work concentrated on (1) establishing an approach for modeling the desired wave characteristics (i.e., wave height, and frequency) within the CEL simulation, (2) conducting simulations using actual bridge dimensions of historically damaged bridges, (3) analyzing a range of foundation flexibilities to determine its effect on the uplift and shear forces acting on the superstructure, and (4) comparing results simulations to AASHTO equations that estimate wave forces acting on coastal bridges. The numerical study revolved around two major highway bridges damaged along the U.S Gulf Coast during hurricane Katrina in 2005, (a) the U.S 90 highway bridge over Biloxi Bay and (b) the US. 90 St. Louis-Bay Bridge. The water level elevation was defined at the bottom of the superstructure as post-Katrina investigations revealed that this was a common characteristic for damaged bridges. The analysis revealed that (a) bridge models with flexible foundations provide better force design estimates than models with rigid supports, (b) the force demands are presumably amplified when the natural frequency of the bridge coincides with that of the traveling waves, and (c) CEL force estimates show large peak magnitudes during wave impacts that exceed AASHTO estimates. Further research is required to determine if these peaks are numerical artifacts or a concern for connection design. The total size of the described zip file is 48.5 KB. Files with the .xlsx extension are Microsoft Excel spreadsheet files. These can be opened in Excel or open-source spreadsheet programs. Docx files are document files created in Microsoft Word. These files can be opened using Microsoft Word or with an open source text viewer such as Apache OpenOffice.
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Content Notes:National Transportation Library (NTL) Curation Note: As this dataset is preserved in a repository outside U.S. DOT control, as allowed by the U.S. DOT's Public Access Plan (https://doi.org/10.21949/1503647) Section 7.4.2 Data, the NTL staff has performed NO additional curation actions on this dataset. The current level of dataset documentation is the responsibility of the dataset creator. NTL staff last accessed this dataset at its repository URL on 2022-11-11. If, in the future, you have trouble accessing this dataset at the host repository, please email NTLDataCurator@dot.gov describing your problem. NTL staff will do its best to assist you at that time.
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