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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Main Authors: Minh-Huy Nguyen, Tran-De-Nhat Truong, Thanh-Cao Le, Duc-Duy Ho
Format: Article
Language:English
Published: MDPI AG 2023-08-01
Series:Buildings
Subjects:
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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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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AT trandenhattruong identificationoftensionforceincablestructuresusingvibrationbasedandimpedancebasedmethodsinparallel
AT thanhcaole identificationoftensionforceincablestructuresusingvibrationbasedandimpedancebasedmethodsinparallel
AT ducduyho identificationoftensionforceincablestructuresusingvibrationbasedandimpedancebasedmethodsinparallel