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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.
  • Published Date:
    2009-12-01
  • Language:
    English
Filetype[PDF-3.68 MB]


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  • 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.

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