Examination of LiDAR scanning for quantitative structural assessments of highway bridges

A. Trias, J. Gong, F. Moon

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The use of LiDAR in the realm of bridge assessment has been primarily limited to measuring large-scale bridge dimensions (greater than 2m), which have been successfully captured with relatively small errors (< 1%). The objective of this paper is to explore the capability of LiDAR technology to estimate smaller dimensions such as flange thickness, flange width, and girder depth. To satisfy these objectives, an eleven-span steel girder bridge carrying a highly transited highway was subjected to a series of LiDAR scans under normal operating conditions. Various dimensional quantities were then extracted from the data both directly from the point cloud and through a standard plane-fitting approach. The direct point cloud approach resulted on percent errors of up to 30% (compared to bridge plans) while the plane fitting method resulted on percent errors of up to 17%. The ability of LiDAR sensors to accurately characterize geometric information opens up new opportunities for their use as a means for in bridge surveying and structural health monitoring.

Original languageEnglish (US)
Title of host publication9th International Conference on Structural Health Monitoring of Intelligent Infrastructure
Subtitle of host publicationTransferring Research into Practice, SHMII 2019 - Conference Proceedings
EditorsGenda Chen, Sreenivas Alampalli
PublisherInternational Society for Structural Health Monitoring of Intelligent Infrastructure, ISHMII
Pages201-206
Number of pages6
ISBN (Electronic)9780000000002
StatePublished - 2019
Externally publishedYes
Event9th International Conference on Structural Health Monitoring of Intelligent Infrastructure: Transferring Research into Practice, SHMII 2019 - St. Louis, United States
Duration: Aug 4 2019Aug 7 2019

Publication series

Name9th International Conference on Structural Health Monitoring of Intelligent Infrastructure: Transferring Research into Practice, SHMII 2019 - Conference Proceedings
Volume1

Conference

Conference9th International Conference on Structural Health Monitoring of Intelligent Infrastructure: Transferring Research into Practice, SHMII 2019
Country/TerritoryUnited States
CitySt. Louis
Period8/4/198/7/19

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Civil and Structural Engineering
  • Building and Construction

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