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A Novel Approach for Cable Tension Monitoring Based on Mode Shape Identification

Estimation and monitoring of cable tension is of great significance in the structural assessment of cable-supported bridges. For short cables, the traditional cable tension identification method via frequency measurement has large errors due to the influence of complex boundaries, which affect the a...

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Detalles Bibliográficos
Autores principales: Xu, Yichao, Zhang, Jian, Zhang, Yufeng, Li, Changzhao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9788008/
https://www.ncbi.nlm.nih.gov/pubmed/36560344
http://dx.doi.org/10.3390/s22249975
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author Xu, Yichao
Zhang, Jian
Zhang, Yufeng
Li, Changzhao
author_facet Xu, Yichao
Zhang, Jian
Zhang, Yufeng
Li, Changzhao
author_sort Xu, Yichao
collection PubMed
description Estimation and monitoring of cable tension is of great significance in the structural assessment of cable-supported bridges. For short cables, the traditional cable tension identification method via frequency measurement has large errors due to the influence of complex boundaries, which affect the accuracy of estimation. A new cable tension estimation method based on mode shape identification with a multiple sensor arrangement on the cable can take the influence of boundary conditions into account and its accuracy has been verified. However, it requires more sensors compared to the traditional frequency-based method, which will significantly increase the cost of long-term monitoring in practice. Therefore, a novel approach for cable tension monitoring considering both cost and accuracy is further proposed in this study. The approach adopts multiple sensors to measure the influence of boundary conditions. Then, only a single sensor is required for long-term monitoring of the cable. In this paper, an analytical model of the cable is firstly established. The influence of boundary conditions is calculated, which ensures the accuracy of mode shape identification. Furthermore, a field experiment is carried out to verify the effectiveness of the new approach. The results have demonstrated the effectiveness and accurateness of the proposed method in long-term short cable tension monitoring.
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spelling pubmed-97880082022-12-24 A Novel Approach for Cable Tension Monitoring Based on Mode Shape Identification Xu, Yichao Zhang, Jian Zhang, Yufeng Li, Changzhao Sensors (Basel) Article Estimation and monitoring of cable tension is of great significance in the structural assessment of cable-supported bridges. For short cables, the traditional cable tension identification method via frequency measurement has large errors due to the influence of complex boundaries, which affect the accuracy of estimation. A new cable tension estimation method based on mode shape identification with a multiple sensor arrangement on the cable can take the influence of boundary conditions into account and its accuracy has been verified. However, it requires more sensors compared to the traditional frequency-based method, which will significantly increase the cost of long-term monitoring in practice. Therefore, a novel approach for cable tension monitoring considering both cost and accuracy is further proposed in this study. The approach adopts multiple sensors to measure the influence of boundary conditions. Then, only a single sensor is required for long-term monitoring of the cable. In this paper, an analytical model of the cable is firstly established. The influence of boundary conditions is calculated, which ensures the accuracy of mode shape identification. Furthermore, a field experiment is carried out to verify the effectiveness of the new approach. The results have demonstrated the effectiveness and accurateness of the proposed method in long-term short cable tension monitoring. MDPI 2022-12-18 /pmc/articles/PMC9788008/ /pubmed/36560344 http://dx.doi.org/10.3390/s22249975 Text en © 2022 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
Xu, Yichao
Zhang, Jian
Zhang, Yufeng
Li, Changzhao
A Novel Approach for Cable Tension Monitoring Based on Mode Shape Identification
title A Novel Approach for Cable Tension Monitoring Based on Mode Shape Identification
title_full A Novel Approach for Cable Tension Monitoring Based on Mode Shape Identification
title_fullStr A Novel Approach for Cable Tension Monitoring Based on Mode Shape Identification
title_full_unstemmed A Novel Approach for Cable Tension Monitoring Based on Mode Shape Identification
title_short A Novel Approach for Cable Tension Monitoring Based on Mode Shape Identification
title_sort novel approach for cable tension monitoring based on mode shape identification
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9788008/
https://www.ncbi.nlm.nih.gov/pubmed/36560344
http://dx.doi.org/10.3390/s22249975
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