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Identification of Behavioral Features of Bridge Structure Based on Static Image Sequences
Joint Authors
Shao, Shuai
Chu, Xi
Deng, Guojun
Zhou, Zhixiang
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-16, 16 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-08-20
Country of Publication
Egypt
No. of Pages
16
Main Subjects
Abstract EN
This paper aims to further enhance the accuracy and efficiency of large bridge structural health monitoring (SHM) through noncontact remote sensing (NRS).
For these purposes, the authors put forward an intelligent NRS method that collects the holographic geometric deformation of the test bridge, using the static image sequences.
Specifically, a uniaxial automatic cruise acquisition device was designed to collect the dynamic and static images on bridge facade under different damage conditions.
Considering the strong spatiotemporal correlations of the sequence data, the relationships between the time history images in six fixed fields of view were identified through deep learning under spatiotemporal sequences.
On this basis, the behavioral features of the bridge structure were obtained under vehicle load.
Finally, the global holographic deformation of the test bridge and the envelope spectrum of the global holographic deformation were derived from the deformation data.
The research results show that the output data of our NRS method were basically consistent with the finite-element prediction (maximum error: 11.11%) and dial gauge measurement (maximum error: 12.12%); the NRS method is highly sensitive to the actual deformation of the bridge structure under different damage conditions and can capture the deformation in a continuous and accurate manner.
Compared with the limited number of measuring points, holographic deformation data also shows higher sensitivity in damage identification.
American Psychological Association (APA)
Deng, Guojun& Zhou, Zhixiang& Chu, Xi& Shao, Shuai. 2020. Identification of Behavioral Features of Bridge Structure Based on Static Image Sequences. Advances in Civil Engineering،Vol. 2020, no. 2020, pp.1-16.
https://search.emarefa.net/detail/BIM-1121200
Modern Language Association (MLA)
Deng, Guojun…[et al.]. Identification of Behavioral Features of Bridge Structure Based on Static Image Sequences. Advances in Civil Engineering No. 2020 (2020), pp.1-16.
https://search.emarefa.net/detail/BIM-1121200
American Medical Association (AMA)
Deng, Guojun& Zhou, Zhixiang& Chu, Xi& Shao, Shuai. Identification of Behavioral Features of Bridge Structure Based on Static Image Sequences. Advances in Civil Engineering. 2020. Vol. 2020, no. 2020, pp.1-16.
https://search.emarefa.net/detail/BIM-1121200
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1121200