Bridge Deck Surface Profile Evaluation for Rapid Screening and Deterioration Monitoring

University Transportation Centers Program2022PDFTech ReportTrias-Blanco, Adriana CRowan UniversityRutgers University. Center for Advanced Infrastructure and TransportationUnited States. Department of Transportation. University Transportation Centers (UTC) ProgramUnited States. Department of Transportation. Office of the Assistant Secretary for Research and TechnologyUnited States. Department of Transportation. Federal Highway AdministrationNew Jersey Department of TransportationRutgers University. Center for Advanced Infrastructure and TransportationUnited StatesBridge decksData collectionDeteriorationLaser radarNondestructive testsStructural health monitoringCAIT-UTC-REG5269A3551847102Renman, Gregory;Final Report March 2021 \u2013 June 2022The 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.143