United States Department of Transportation
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Bridge Deck Surface Profile Evaluation for Rapid Screening and Deterioration Monitoring [Supporting Dataset]
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2022-09-15
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Alternative Title:Data for "CAIT-UTC-REG52: Bridge Deck Surface Profile Evaluation for Rapid Screening and Deterioration Monitoring"
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Corporate Contributors:Rutgers University. Center for Advanced Infrastructure and Transportation ; United States. Department of Transportation. University Transportation Centers (UTC) Program ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology ; United States. Department of Transportation. Federal Highway Administration ; New Jersey Department of Transportation
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Edition:Final Report March 2021 – June 2022
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Abstract:The assessment of bridge deck condition demands the development of rapid and efficient diagnosis, prognosis, and repair techniques to safely and cost-effectively extend the life-cycle of our transportation infrastructure. Without the ability to identify and characterize deficiencies at their early stages, prognosis and various repair strategies simply cannot be brought to bear effectively. Therefore, there is a pressing need for the implementation of wireless, non-contact, or remote sensors that can provide rapid and cost-effective data. LiDAR sensors have the ability to capture dense point clouds that define the geometry of objects in a remote (non-contract) manner. This project evaluates the impact of capturing point cloud data of bridge deck top surfaces to enable a rapid screening method by identifying characteristics of early stage deterioration.
The total size of the described file is 4.7 GB. Text files can be view in notepad or any document reading software. The XYZ file format is a molecular coordinate file. These files can be accessed by many programs, including the free program Surface-water Modeling System (SMS) Software.
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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 2023-07-27. 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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