Identification of Tension Force in Cable Structures Using Vibration-Based and Impedance-Based Methods in Parallel
For cable structures, the tension force is one of the main factors showing the structure’s health. If the tension force falls below a safe level during construction or operation, it can lead to partial or complete the structural failure, posing a risk to the people’s safety. In this study, a paralle...
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MDPI AG
2023-08-01
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Series: | Buildings |
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Online Access: | https://www.mdpi.com/2075-5309/13/8/2079 |
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author | Minh-Huy Nguyen Tran-De-Nhat Truong Thanh-Cao Le Duc-Duy Ho |
author_facet | Minh-Huy Nguyen Tran-De-Nhat Truong Thanh-Cao Le Duc-Duy Ho |
author_sort | Minh-Huy Nguyen |
collection | DOAJ |
description | For cable structures, the tension force is one of the main factors showing the structure’s health. If the tension force falls below a safe level during construction or operation, it can lead to partial or complete the structural failure, posing a risk to the people’s safety. In this study, a parallel structural health monitoring approach of the vibration-based and impedance-based methods is proposed to identify the tension force in cable structures. Firstly, a cable structure including the anchorage is simulated using a finite element model to obtain the vibration and impedance responses. The numerical results are verified with the experimental ones of the previous studies. Then, the parallel approach combining the above two methods is presented to determine the tension force. For the vibration-based method, the tension force is estimated by the natural frequencies. For the impedance-based method, the tension force is estimated by the mean absolute percentage deviation (MAPD) index and the artificial neural network (ANN). Finally, the tension force estimation results are compared and assessed. By using the parallel approach, the reliability and accuracy of the tension force identification results are guaranteed. |
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format | Article |
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institution | Directory Open Access Journal |
issn | 2075-5309 |
language | English |
last_indexed | 2024-03-11T00:04:24Z |
publishDate | 2023-08-01 |
publisher | MDPI AG |
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spelling | doaj.art-774702d057494d7292326e2be552b8702023-11-19T00:31:05ZengMDPI AGBuildings2075-53092023-08-01138207910.3390/buildings13082079Identification of Tension Force in Cable Structures Using Vibration-Based and Impedance-Based Methods in ParallelMinh-Huy Nguyen0Tran-De-Nhat Truong1Thanh-Cao Le2Duc-Duy Ho3Faculty of Civil Engineering, Ho Chi Minh City University of Technology (HCMUT), 268 Ly Thuong Kiet, District 10, Ho Chi Minh City 700000, VietnamFaculty of Civil Engineering, Ho Chi Minh City University of Technology (HCMUT), 268 Ly Thuong Kiet, District 10, Ho Chi Minh City 700000, VietnamFaculty of Civil Engineering, Ho Chi Minh City University of Technology (HCMUT), 268 Ly Thuong Kiet, District 10, Ho Chi Minh City 700000, VietnamFaculty of Civil Engineering, Ho Chi Minh City University of Technology (HCMUT), 268 Ly Thuong Kiet, District 10, Ho Chi Minh City 700000, VietnamFor cable structures, the tension force is one of the main factors showing the structure’s health. If the tension force falls below a safe level during construction or operation, it can lead to partial or complete the structural failure, posing a risk to the people’s safety. In this study, a parallel structural health monitoring approach of the vibration-based and impedance-based methods is proposed to identify the tension force in cable structures. Firstly, a cable structure including the anchorage is simulated using a finite element model to obtain the vibration and impedance responses. The numerical results are verified with the experimental ones of the previous studies. Then, the parallel approach combining the above two methods is presented to determine the tension force. For the vibration-based method, the tension force is estimated by the natural frequencies. For the impedance-based method, the tension force is estimated by the mean absolute percentage deviation (MAPD) index and the artificial neural network (ANN). Finally, the tension force estimation results are compared and assessed. By using the parallel approach, the reliability and accuracy of the tension force identification results are guaranteed.https://www.mdpi.com/2075-5309/13/8/2079tension forcecable structurevibration methodimpedance methodartificial neural networks |
spellingShingle | Minh-Huy Nguyen Tran-De-Nhat Truong Thanh-Cao Le Duc-Duy Ho Identification of Tension Force in Cable Structures Using Vibration-Based and Impedance-Based Methods in Parallel Buildings tension force cable structure vibration method impedance method artificial neural networks |
title | Identification of Tension Force in Cable Structures Using Vibration-Based and Impedance-Based Methods in Parallel |
title_full | Identification of Tension Force in Cable Structures Using Vibration-Based and Impedance-Based Methods in Parallel |
title_fullStr | Identification of Tension Force in Cable Structures Using Vibration-Based and Impedance-Based Methods in Parallel |
title_full_unstemmed | Identification of Tension Force in Cable Structures Using Vibration-Based and Impedance-Based Methods in Parallel |
title_short | Identification of Tension Force in Cable Structures Using Vibration-Based and Impedance-Based Methods in Parallel |
title_sort | identification of tension force in cable structures using vibration based and impedance based methods in parallel |
topic | tension force cable structure vibration method impedance method artificial neural networks |
url | https://www.mdpi.com/2075-5309/13/8/2079 |
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