Title

Demonstration Of A Computer Vision And Sensor Fusion For Structural Health Monitoring On Ucf 4-Span Bridge

Abstract

Structural health monitoring (SHM) offers an automated method for tracking the health of a structure by combining assessment algorithms with sensing technologies. Novel structural health monitoring strategies for better management of civil infrastructure systems (CIS) are increasingly becoming more important as CIS are aging and subject to natural and man made hazards. The integration of imaging and optical devices with traditional sensing technology is very promising new paradigm for SHM and long-term condition assessment. This paper, presents a demonstration of an innovative and practical integrated monitoring and analysis system, combining real-time video images with sensor readings. Video stream is correlated with measured structural responses allowing a direct cause/effects relationship can be determined. This feature allows real-time assessment, continuously tracking and recording the structural performance either in situ or remotely. Any abnormal behavior triggers the recording of image and numerical information for condition-based maintenance, improving safety and operational management. The demonstration of the system is performed on the UCF 4-span bridge, a very unique and special laboratory structure designed and built by the writers to test their methods, algorithms, and to investigate the system integration before field deployment. The structure characteristics, analytical model, and sample data are also presented.

Publication Date

12-1-2008

Publication Title

Conference Proceedings of the Society for Experimental Mechanics Series

Number of Pages

-

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

Socpus ID

84861568312 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/84861568312

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