Damage Detection for Large-Scale Grid Structure Based on Virtual Axial Strain
To identify the damaged beams in large-scale spatial structure, a damage indicator based on virtual axial strain calculated from mode shape vectors was proposed. The damage detection process was performed based on the dynamic simulation flowchart. Firstly, random signals were used for excitation and...
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Format: | Article |
Language: | English |
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Wiley
2020-01-01
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Series: | Shock and Vibration |
Online Access: | http://dx.doi.org/10.1155/2020/8950720 |
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author | Jian-xin Yu Hui-feng Tan |
author_facet | Jian-xin Yu Hui-feng Tan |
author_sort | Jian-xin Yu |
collection | DOAJ |
description | To identify the damaged beams in large-scale spatial structure, a damage indicator based on virtual axial strain calculated from mode shape vectors was proposed. The damage detection process was performed based on the dynamic simulation flowchart. Firstly, random signals were used for excitation and the damage was simulated by decreasing beam elasticity modulus. Then, the NEWMARK-β precision direct integral method was appreciated for calculating time history response. Finally, the frequency-domain decomposition method only using output response signal was selected for modal parameter estimation. A double-layer grid structure was taken as example for verifying the damage detection method. Results indicate that the proposed indicator was insensitive to environmental noise and capable of localizing multiple damaged members in space structure without the baseline data. |
format | Article |
id | doaj-art-0ecb6197e1e9481cb1d72d35a97cf144 |
institution | Kabale University |
issn | 1070-9622 1875-9203 |
language | English |
publishDate | 2020-01-01 |
publisher | Wiley |
record_format | Article |
series | Shock and Vibration |
spelling | doaj-art-0ecb6197e1e9481cb1d72d35a97cf1442025-02-03T01:01:22ZengWileyShock and Vibration1070-96221875-92032020-01-01202010.1155/2020/89507208950720Damage Detection for Large-Scale Grid Structure Based on Virtual Axial StrainJian-xin Yu0Hui-feng Tan1National Key Laboratory of Science and Technology for National Defense on Advanced Composites in Special Environments, Harbin Institute of Technology, Harbin 150001, ChinaNational Key Laboratory of Science and Technology for National Defense on Advanced Composites in Special Environments, Harbin Institute of Technology, Harbin 150001, ChinaTo identify the damaged beams in large-scale spatial structure, a damage indicator based on virtual axial strain calculated from mode shape vectors was proposed. The damage detection process was performed based on the dynamic simulation flowchart. Firstly, random signals were used for excitation and the damage was simulated by decreasing beam elasticity modulus. Then, the NEWMARK-β precision direct integral method was appreciated for calculating time history response. Finally, the frequency-domain decomposition method only using output response signal was selected for modal parameter estimation. A double-layer grid structure was taken as example for verifying the damage detection method. Results indicate that the proposed indicator was insensitive to environmental noise and capable of localizing multiple damaged members in space structure without the baseline data.http://dx.doi.org/10.1155/2020/8950720 |
spellingShingle | Jian-xin Yu Hui-feng Tan Damage Detection for Large-Scale Grid Structure Based on Virtual Axial Strain Shock and Vibration |
title | Damage Detection for Large-Scale Grid Structure Based on Virtual Axial Strain |
title_full | Damage Detection for Large-Scale Grid Structure Based on Virtual Axial Strain |
title_fullStr | Damage Detection for Large-Scale Grid Structure Based on Virtual Axial Strain |
title_full_unstemmed | Damage Detection for Large-Scale Grid Structure Based on Virtual Axial Strain |
title_short | Damage Detection for Large-Scale Grid Structure Based on Virtual Axial Strain |
title_sort | damage detection for large scale grid structure based on virtual axial strain |
url | http://dx.doi.org/10.1155/2020/8950720 |
work_keys_str_mv | AT jianxinyu damagedetectionforlargescalegridstructurebasedonvirtualaxialstrain AT huifengtan damagedetectionforlargescalegridstructurebasedonvirtualaxialstrain |