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Multiple Damaged Cables Identification in Cable-Stayed Bridges Using Basis Vector Matrix Method
A new damaged cable identification method using the basis vector matrix (BVM) is proposed to identify multiple damaged cables in cable-stayed bridges. The relationships between the cable tension stiffness and the girder bending strain of the cable-stayed bridge are established using a force method....
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9861780/ https://www.ncbi.nlm.nih.gov/pubmed/36679657 http://dx.doi.org/10.3390/s23020860 |
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author | Ren, Jianying Zhu, Xinqun Li, Shaohua |
author_facet | Ren, Jianying Zhu, Xinqun Li, Shaohua |
author_sort | Ren, Jianying |
collection | PubMed |
description | A new damaged cable identification method using the basis vector matrix (BVM) is proposed to identify multiple damaged cables in cable-stayed bridges. The relationships between the cable tension stiffness and the girder bending strain of the cable-stayed bridge are established using a force method. The difference between the maximum bending strains of the bridges with intact and damaged cables is used to obtain the damage index vectors (DIXVs). Then, BVM is obtained by the normalized DIXV. Finally, the damage indicator vector (DIV) is obtained by DIXV and BVM to identify the damaged cables. The damage indicator is substituted into the damage severity function to identify the corresponding damage severity. A field cable-stayed bridge is used to verify the proposed method. The three-dimensional finite element model is established using ANSYS, and the model is validated using the field measurements. The validated model is used to simulate the strain response of the bridge with different damage scenarios subject to a moving vehicle load, including one, two, three, and four damaged cables with damage severity of 10%, 20%, and 30%, respectively. The noise effect is also discussed. The results show that the BVM method has good anti-noise capability and robustness. |
format | Online Article Text |
id | pubmed-9861780 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-98617802023-01-22 Multiple Damaged Cables Identification in Cable-Stayed Bridges Using Basis Vector Matrix Method Ren, Jianying Zhu, Xinqun Li, Shaohua Sensors (Basel) Article A new damaged cable identification method using the basis vector matrix (BVM) is proposed to identify multiple damaged cables in cable-stayed bridges. The relationships between the cable tension stiffness and the girder bending strain of the cable-stayed bridge are established using a force method. The difference between the maximum bending strains of the bridges with intact and damaged cables is used to obtain the damage index vectors (DIXVs). Then, BVM is obtained by the normalized DIXV. Finally, the damage indicator vector (DIV) is obtained by DIXV and BVM to identify the damaged cables. The damage indicator is substituted into the damage severity function to identify the corresponding damage severity. A field cable-stayed bridge is used to verify the proposed method. The three-dimensional finite element model is established using ANSYS, and the model is validated using the field measurements. The validated model is used to simulate the strain response of the bridge with different damage scenarios subject to a moving vehicle load, including one, two, three, and four damaged cables with damage severity of 10%, 20%, and 30%, respectively. The noise effect is also discussed. The results show that the BVM method has good anti-noise capability and robustness. MDPI 2023-01-11 /pmc/articles/PMC9861780/ /pubmed/36679657 http://dx.doi.org/10.3390/s23020860 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Ren, Jianying Zhu, Xinqun Li, Shaohua Multiple Damaged Cables Identification in Cable-Stayed Bridges Using Basis Vector Matrix Method |
title | Multiple Damaged Cables Identification in Cable-Stayed Bridges Using Basis Vector Matrix Method |
title_full | Multiple Damaged Cables Identification in Cable-Stayed Bridges Using Basis Vector Matrix Method |
title_fullStr | Multiple Damaged Cables Identification in Cable-Stayed Bridges Using Basis Vector Matrix Method |
title_full_unstemmed | Multiple Damaged Cables Identification in Cable-Stayed Bridges Using Basis Vector Matrix Method |
title_short | Multiple Damaged Cables Identification in Cable-Stayed Bridges Using Basis Vector Matrix Method |
title_sort | multiple damaged cables identification in cable-stayed bridges using basis vector matrix method |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9861780/ https://www.ncbi.nlm.nih.gov/pubmed/36679657 http://dx.doi.org/10.3390/s23020860 |
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