Wood Beam Damage Identification Based on the Curvature Mode and Wavelet Transform

In the paper, a simple-supported wooden beam is used as the research object to identify the damage of the wood beam by finite element analysis and experimental research. First, ANSYS was used to establish the solid finite element model of the wood beam before and after the damage, and then the discr...

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Main Authors: Zhaobo Meng, Xiancai Ren, Shanqing Chai, Xin Wang, Tengfei Zhao, Feifei Gao, Shanwei Wang, Yufa Liu
Format: Article
Language:English
Published: Wiley 2023-01-01
Series:Advances in Civil Engineering
Online Access:http://dx.doi.org/10.1155/2023/2238021
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author Zhaobo Meng
Xiancai Ren
Shanqing Chai
Xin Wang
Tengfei Zhao
Feifei Gao
Shanwei Wang
Yufa Liu
author_facet Zhaobo Meng
Xiancai Ren
Shanqing Chai
Xin Wang
Tengfei Zhao
Feifei Gao
Shanwei Wang
Yufa Liu
author_sort Zhaobo Meng
collection DOAJ
description In the paper, a simple-supported wooden beam is used as the research object to identify the damage of the wood beam by finite element analysis and experimental research. First, ANSYS was used to establish the solid finite element model of the wood beam before and after the damage, and then the discrete wavelet transform was performed on the curvature mode of the wood beam before and after the damage, and the wavelet coefficient difference index was obtained after obtaining the high frequency wavelet coefficients. Then, the damage location of the wood beam was judged according to the sudden peak of the wavelet coefficient difference index, and the damage degree of the wood beam was estimated by fitting the relationship between the wavelet coefficient difference index and the degree of damage. Finally, the index was verified by the wooden beam test. The results show that the wavelet coefficient difference index can accurately identify the damaged location of the wood beams. The degree of damage to the wood beams at the damage location can be quantitatively estimated by fitting the relationship between the wavelet coefficient difference index and the degree of damage at the damage location. The research results provide a theoretical basis to identify wooden beam damage.
format Article
id doaj-art-d34d565de04a46f0ad8c8f578d49d18a
institution Kabale University
issn 1687-8094
language English
publishDate 2023-01-01
publisher Wiley
record_format Article
series Advances in Civil Engineering
spelling doaj-art-d34d565de04a46f0ad8c8f578d49d18a2025-08-20T03:25:03ZengWileyAdvances in Civil Engineering1687-80942023-01-01202310.1155/2023/2238021Wood Beam Damage Identification Based on the Curvature Mode and Wavelet TransformZhaobo Meng0Xiancai Ren1Shanqing Chai2Xin Wang3Tengfei Zhao4Feifei Gao5Shanwei Wang6Yufa Liu7School of Architecture and Civil EngineeringSchool of Architecture and Civil EngineeringSchool of Architecture and Civil EngineeringSchool of Civil EngineeringSchool of Architecture and Civil EngineeringSchool of Architecture and Civil EngineeringSchool of Architecture and Civil EngineeringSchool of Architecture and Civil EngineeringIn the paper, a simple-supported wooden beam is used as the research object to identify the damage of the wood beam by finite element analysis and experimental research. First, ANSYS was used to establish the solid finite element model of the wood beam before and after the damage, and then the discrete wavelet transform was performed on the curvature mode of the wood beam before and after the damage, and the wavelet coefficient difference index was obtained after obtaining the high frequency wavelet coefficients. Then, the damage location of the wood beam was judged according to the sudden peak of the wavelet coefficient difference index, and the damage degree of the wood beam was estimated by fitting the relationship between the wavelet coefficient difference index and the degree of damage. Finally, the index was verified by the wooden beam test. The results show that the wavelet coefficient difference index can accurately identify the damaged location of the wood beams. The degree of damage to the wood beams at the damage location can be quantitatively estimated by fitting the relationship between the wavelet coefficient difference index and the degree of damage at the damage location. The research results provide a theoretical basis to identify wooden beam damage.http://dx.doi.org/10.1155/2023/2238021
spellingShingle Zhaobo Meng
Xiancai Ren
Shanqing Chai
Xin Wang
Tengfei Zhao
Feifei Gao
Shanwei Wang
Yufa Liu
Wood Beam Damage Identification Based on the Curvature Mode and Wavelet Transform
Advances in Civil Engineering
title Wood Beam Damage Identification Based on the Curvature Mode and Wavelet Transform
title_full Wood Beam Damage Identification Based on the Curvature Mode and Wavelet Transform
title_fullStr Wood Beam Damage Identification Based on the Curvature Mode and Wavelet Transform
title_full_unstemmed Wood Beam Damage Identification Based on the Curvature Mode and Wavelet Transform
title_short Wood Beam Damage Identification Based on the Curvature Mode and Wavelet Transform
title_sort wood beam damage identification based on the curvature mode and wavelet transform
url http://dx.doi.org/10.1155/2023/2238021
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AT feifeigao woodbeamdamageidentificationbasedonthecurvaturemodeandwavelettransform
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