STRUCTURAL DAMAGE IDENTIFICATION BY SINGULAR VALUE TRUNCATION METHOD

The singular value truncation method is studied in this work for structural damage identification. The main advantage of the proposed method is that it can obtain the robust and accurate results by the ill-posed linear equations due to measurement noise. The influences of the truncation threshold va...

Full description

Saved in:
Bibliographic Details
Main Authors: YANG QiuWei, LU Chen, LI CuiHong
Format: Article
Language:zho
Published: Editorial Office of Journal of Mechanical Strength 2019-01-01
Series:Jixie qiangdu
Subjects:
Online Access:http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2019.04.033
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1841535693781729280
author YANG QiuWei
LU Chen
LI CuiHong
author_facet YANG QiuWei
LU Chen
LI CuiHong
author_sort YANG QiuWei
collection DOAJ
description The singular value truncation method is studied in this work for structural damage identification. The main advantage of the proposed method is that it can obtain the robust and accurate results by the ill-posed linear equations due to measurement noise. The influences of the truncation threshold value and the error level on the calculation result are discussed in detail. In addition, the second calculation using the singular value truncation method by another loading state is proposed in order to further improve the accuracy of the calculation. The numerical experiments show that the proposed method is reasonable and feasible, and has better anti-noise performance than the least squares method. When the noise level is less than 10%, the accurate enough results can be obtained. It was found that the proposed method is promising for structural damage identification.
format Article
id doaj-art-5487d34ac53946c4b2a47b213a0c1fc1
institution Kabale University
issn 1001-9669
language zho
publishDate 2019-01-01
publisher Editorial Office of Journal of Mechanical Strength
record_format Article
series Jixie qiangdu
spelling doaj-art-5487d34ac53946c4b2a47b213a0c1fc12025-01-15T02:29:33ZzhoEditorial Office of Journal of Mechanical StrengthJixie qiangdu1001-96692019-01-014197698230605331STRUCTURAL DAMAGE IDENTIFICATION BY SINGULAR VALUE TRUNCATION METHODYANG QiuWeiLU ChenLI CuiHongThe singular value truncation method is studied in this work for structural damage identification. The main advantage of the proposed method is that it can obtain the robust and accurate results by the ill-posed linear equations due to measurement noise. The influences of the truncation threshold value and the error level on the calculation result are discussed in detail. In addition, the second calculation using the singular value truncation method by another loading state is proposed in order to further improve the accuracy of the calculation. The numerical experiments show that the proposed method is reasonable and feasible, and has better anti-noise performance than the least squares method. When the noise level is less than 10%, the accurate enough results can be obtained. It was found that the proposed method is promising for structural damage identification.http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2019.04.033Damage identificationSingular value truncationMeasurement noiseDisplacement parameter
spellingShingle YANG QiuWei
LU Chen
LI CuiHong
STRUCTURAL DAMAGE IDENTIFICATION BY SINGULAR VALUE TRUNCATION METHOD
Jixie qiangdu
Damage identification
Singular value truncation
Measurement noise
Displacement parameter
title STRUCTURAL DAMAGE IDENTIFICATION BY SINGULAR VALUE TRUNCATION METHOD
title_full STRUCTURAL DAMAGE IDENTIFICATION BY SINGULAR VALUE TRUNCATION METHOD
title_fullStr STRUCTURAL DAMAGE IDENTIFICATION BY SINGULAR VALUE TRUNCATION METHOD
title_full_unstemmed STRUCTURAL DAMAGE IDENTIFICATION BY SINGULAR VALUE TRUNCATION METHOD
title_short STRUCTURAL DAMAGE IDENTIFICATION BY SINGULAR VALUE TRUNCATION METHOD
title_sort structural damage identification by singular value truncation method
topic Damage identification
Singular value truncation
Measurement noise
Displacement parameter
url http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2019.04.033
work_keys_str_mv AT yangqiuwei structuraldamageidentificationbysingularvaluetruncationmethod
AT luchen structuraldamageidentificationbysingularvaluetruncationmethod
AT licuihong structuraldamageidentificationbysingularvaluetruncationmethod