A review of computer vision–based structural health monitoring at local and global levels

Chuan-Zhi Dong; F Necati Catbas

doi:10.1177/1475921720935585

journal article Jul 20, 2020

A review of computer vision–based structural health monitoring at local and global levels

Chuan-Zhi Dong

F Necati Catbas

Structural Health Monitoring Vol. 20 No. 2 pp. 692-743 · SAGE Publications

View at Publisher Save 10.1177/1475921720935585

Abstract

Structural health monitoring at local and global levels using computer vision technologies has gained much attention in the structural health monitoring community in research and practice. Due to the computer vision technology application advantages such as non-contact, long distance, rapid, low cost and labor, and low interference to the daily operation of structures, it is promising to consider computer vision–structural health monitoring as a complement to the conventional structural health monitoring. This article presents a general overview of the concepts, approaches, and real-life practice of computer vision–structural health monitoring along with some relevant literature that is rapidly accumulating. The computer vision–structural health monitoring covered in this article at local level includes applications such as crack, spalling, delamination, rust, and loose bolt detection. At the global level, applications include displacement measurement, structural behavior analysis, vibration serviceability, modal identification, model updating, damage detection, cable force monitoring, load factor estimation, and structural identification using input–output information. The current research studies and applications of computer vision–structural health monitoring mainly focus on the implementation and integration of two-dimensional computer vision techniques to solve structural health monitoring problems and the projective geometry methods implemented are utilized to convert the three-dimensional problems into two-dimensional problems. This review mainly puts emphasis on two-dimensional computer vision–structural health monitoring applications. Subsequently, a brief review of representative developments of three-dimensional computer vision in the area of civil engineering is presented along with the challenges and opportunities of two-dimensional and three-dimensional computer vision–structural health monitoring. Finally, the article presents a forward look to the future of computer vision–structural health monitoring.

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Metrics

649

Citations

235

References

Details

Published: Jul 20, 2020
Vol/Issue: 20(2)
Pages: 692-743
License: View

Authors

C

Chuan-Zhi Dong

Department of Civil, Environmental, and Construction Engineering, University of Central Florida, Orlando, FL, USA

F

F Necati Catbas

Department of Civil, Environmental, and Construction Engineering, University of Central Florida, Orlando, FL, USA

Funding

National Science Foundation Award: Division of Civil, Mechanical and Manufacturing In

Cite This Article

Chuan-Zhi Dong, F Necati Catbas (2020). A review of computer vision–based structural health monitoring at local and global levels. Structural Health Monitoring, 20(2), 692-743. https://doi.org/10.1177/1475921720935585

A review of computer vision–based structural health monitoring at local and global levels

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