Bridge Deck Surface Profile Evaluation for Rapid Screening and Deterioration Monitoring

Trias-Blanco, Adriana C; Rowan University

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Bridge Deck Surface Profile Evaluation for Rapid Screening and Deterioration Monitoring

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Details:

Creators:

Trias-Blanco, Adriana C
Corporate Creators:

Rowan University
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

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 Less -
Subject/TRT Terms:

[+]

Bridge Decks Data Collection Deterioration Laser Radar Nondestructive Tests Structural Health Monitoring
Publication/ Report Number:

CAIT-UTC-REG52
Resource Type:

Tech Report
Geographical Coverage:

United States
Edition:

Final Report March 2021 – June 2022
Contracting Officer:

Renman, Gregory;
Corporate Publisher:

Rutgers University. Center for Advanced Infrastructure and Transportation
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.
Format:

PDF
Funding:

69A3551847102
Collection(s):

University Transportation Centers
Main Document Checksum:

[+]

urn:sha256:72792b3e9b889149d8b69f076ffe6825cf319a0113ed37ca5601967aa5c7d3a6
Download URL:

https://rosap.ntl.bts.gov/view/dot/64301/dot_64301_DS1.pdf
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No Additional Files

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Bridge Deck Surface Profile Evaluation for Rapid Screening and Deterioration Monitoring

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