Research on structural torsion deformation monitoring based on machine vision

Jun Ma; Chenhao Zhao; Chunzhe Li; Yu Ding; Xuefeng Zhao

doi:10.1117/12.2613216

19 April 2022 Research on structural torsion deformation monitoring based on machine vision

Jun Ma, Chenhao Zhao, Chunzhe Li, Yu Ding, Xuefeng Zhao

Proceedings Volume 12048, Health Monitoring of Structural and Biological Systems XVI; 1204811 (2022) https://doi.org/10.1117/12.2613216
Event: SPIE Smart Structures + Nondestructive Evaluation, 2022, Long Beach, California, United States

Abstract

In many structures, most of the destruction and damage are caused by torsion. At the same time, in many cases, the torsion effect plays a controlling role in architectural design. Therefore, the monitoring of structural torsion has become more and more important, but there is less research at present. Based on machine vision technology, this paper proposes a monitoring method for the torsional deformation of building structure. Firstly, the theoretical basis of the scheme and the composition of the monitoring system are introduced. Then the feasibility of the scheme is proved through free rotation and elastic torsion experiments. It is verified that the scheme has the advantages of high precision and low cost, and can realize the real-time monitoring of structural torsional deformation, It can avoid the large deformation of the structure due to torsion, affect the use and even damage, and make a certain contribution to the safety evaluation and health evaluation of the structure.

Conference Presentation

Citation Download Citation

Jun Ma, Chenhao Zhao, Chunzhe Li, Yu Ding, and Xuefeng Zhao "Research on structural torsion deformation monitoring based on machine vision", Proc. SPIE 12048, Health Monitoring of Structural and Biological Systems XVI, 1204811 (19 April 2022); https://doi.org/10.1117/12.2613216

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