A Vision For Vision-Based Technologies For Bridge Health Monitoring

Abstract

Condition assessment of bridges evolved over the years with the advances in non-destructive evaluation technologies, field tests and structural health monitoring. As a result, technological advances changed the resources that bridge engineers can tap into; however, the requirement for practical, low-cost and effective approaches has remained the same. The writer and his research team have explored vision-based technologies to fulfill such requirements. In this paper, first the vision-based technologies will be presented along with capabilities and limitations. A review of basic concepts, available camera, lens and other peripherals are reviewed along with some of the algorithms for analyzing computer vision data. A framework of image-based structural identification is proposed to obtain structural parameters by using a full con-contact method on vision related techniques. By using a camera system, traffic over the bridge will be identified and classified into classes and sub-classes for vehicle weight estimation. Finally, some solutions and example applications from a laboratory bridge, a footbridge and a railroad bridge are presented.

Publication Date

1-1-2018

Publication Title

Maintenance, Safety, Risk, Management and Life-Cycle Performance of Bridges - Proceedings of the 9th International Conference on Bridge Maintenance, Safety and Management, IABMAS 2018

Number of Pages

54-62

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

Socpus ID

85066988403 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/85066988403

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