University of North Carolina at Charlotte. Transportation Policy Studies

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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.

US Transportation Collection

DTOS59-07-H-005