Integrated remote sensing and visualization (IRSV) system for transportation infrastructure operations and management, phase one, volume 3 : use of scanning LiDAR in structural evaluation of bridges.

Details

• Creators:
  Chen, Shen-En ; Liu, Wanqiu
• Corporate Creators:
  University of North Carolina at Charlotte. Transportation Policy Studies
• Corporate Contributors:
  United States. Dept. of Transportation. Research and Innovative Technology Administration
• Subject/TRT Terms:
  • Bridge management systems
  • Remote sensing
  • Inspection
  • Condition surveys
  • Laser radar
  • Structural analysis
  • Visualization
  • Structural health monitoring
  • Benefit cost analysis
• Publication/ Report Number:
  USDOT/RITA DTOS59-07-H-005
• Resource Type:
  Tech Report
• Geographical Coverage:
  United States
• Corporate Publisher:
  University of North Carolina at Charlotte. Transportation Policy Studies
• Abstract:
  This volume introduces several applications of remote bridge inspection technologies studied in ; this Integrated Remote Sensing and Visualization (IRSV) study using ground-based LiDAR ; systems. In particular, the application of terrestrial LiDAR for bridge health monitoring is ; explored both in the laboratory and on-site. An automated bridge condition evaluation system ; based on terrestrial LiDAR data, LiBE (LiDAR based Bridge Evaluation), was developed. The ; research completed during this Phase One effort have demonstrated that LiDAR systems ; adequately address the functions of defect detection and quantification, clearance measurement, ; and displacement measurement during bridge static load testing. Several bridges in ; Mecklenburg County, North Carolina, and to some extent in other areas have been evaluated ; using LiBE and quantitative bridge rating mechanisms. The ratings generated through what we ; describe as the IRSV System are intended to demonstrate, combined with other technologies - ; (see Volume Five) - how LiDAR-based bridge evaluation can be applied to bridge monitoring ; consistent with existing state and federal bridge management policies. A cost-benefit analysis ; was conducted as part of this project that demonstrates the relevancy of Commercial Remote ; Sensing (CRS) technologies to current nation-wide bridge management problems. It also has the ; potential of reducing bridge maintenance and repair costs that are incurred by a wide variety of ; stakeholders, both public and private. The results generated by our testing and developing a ; “proof of concept” for these technologies are valuable for those professionals involved in bridge ; management decision-making.
  More +
• Format:
  PDF
• Funding:
  DTOS59-07-H-005
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/28808/dot_28808_DS1.pdf
• File Type:
  [PDF - 3.68 MB]
• Collection(s):
  University Transportation Centers ; US Transportation Collection
• Main Document Checksum:
  urn:sha256:d3acb2edf0412c7fcaf7c67c8dd06f3eb0567eac9d6446d4ad3e19fbdfa0f980