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...

Full description

Saved in:
Bibliographic Details
Main Authors: Jian-xin Yu, Hui-feng Tan
Format: Article
Language:English
Published: Wiley 2020-01-01
Series:Shock and Vibration
Online Access:http://dx.doi.org/10.1155/2020/8950720
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1832567493042896896
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