DAMAGE IDENTIFICATION METHOD BASED KRIGING MODEL

To improve damage identification efficiency,a damage identification method based on Kriging model was proposed. Sample points were chosen based on Latin hypercube sampling,and Kriging model was built using acceleration frequency response functions corresponding to the damage parameters;then,Kriging...

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Main Authors: MA JingJing, YIN Hong, PENG ZhenRui, DONG KangLi
Format: Article
Language:zho
Published: Editorial Office of Journal of Mechanical Strength 2020-01-01
Series:Jixie qiangdu
Subjects:
Online Access:http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2020.04.004
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author MA JingJing
YIN Hong
PENG ZhenRui
DONG KangLi
author_facet MA JingJing
YIN Hong
PENG ZhenRui
DONG KangLi
author_sort MA JingJing
collection DOAJ
description To improve damage identification efficiency,a damage identification method based on Kriging model was proposed. Sample points were chosen based on Latin hypercube sampling,and Kriging model was built using acceleration frequency response functions corresponding to the damage parameters;then,Kriging model with good precision was used to replace the finite element model to participate in the optimization process. Cuckoo algorithm was used to obtain the damage parameters,where the objective function with the minimum frequency response deviation was constructed. Plane truss model was used to verify the effectiveness of the proposed method. The results show that single damage of location and extent,multiple damages of extent can be both accurately and quantitatively identified by only one measuring point;the maximum error of identification is less than 1%;noise and location of measuring points have a little influence on damage identification results.
format Article
id doaj-art-baec8c42e7bb40d8b9dcbd9679c87646
institution Kabale University
issn 1001-9669
language zho
publishDate 2020-01-01
publisher Editorial Office of Journal of Mechanical Strength
record_format Article
series Jixie qiangdu
spelling doaj-art-baec8c42e7bb40d8b9dcbd9679c876462025-01-15T02:27:34ZzhoEditorial Office of Journal of Mechanical StrengthJixie qiangdu1001-96692020-01-014278679230608493DAMAGE IDENTIFICATION METHOD BASED KRIGING MODELMA JingJingYIN HongPENG ZhenRuiDONG KangLiTo improve damage identification efficiency,a damage identification method based on Kriging model was proposed. Sample points were chosen based on Latin hypercube sampling,and Kriging model was built using acceleration frequency response functions corresponding to the damage parameters;then,Kriging model with good precision was used to replace the finite element model to participate in the optimization process. Cuckoo algorithm was used to obtain the damage parameters,where the objective function with the minimum frequency response deviation was constructed. Plane truss model was used to verify the effectiveness of the proposed method. The results show that single damage of location and extent,multiple damages of extent can be both accurately and quantitatively identified by only one measuring point;the maximum error of identification is less than 1%;noise and location of measuring points have a little influence on damage identification results.http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2020.04.004Damage identificationKriging modelAcceleration frequency response functionExtent identification
spellingShingle MA JingJing
YIN Hong
PENG ZhenRui
DONG KangLi
DAMAGE IDENTIFICATION METHOD BASED KRIGING MODEL
Jixie qiangdu
Damage identification
Kriging model
Acceleration frequency response function
Extent identification
title DAMAGE IDENTIFICATION METHOD BASED KRIGING MODEL
title_full DAMAGE IDENTIFICATION METHOD BASED KRIGING MODEL
title_fullStr DAMAGE IDENTIFICATION METHOD BASED KRIGING MODEL
title_full_unstemmed DAMAGE IDENTIFICATION METHOD BASED KRIGING MODEL
title_short DAMAGE IDENTIFICATION METHOD BASED KRIGING MODEL
title_sort damage identification method based kriging model
topic Damage identification
Kriging model
Acceleration frequency response function
Extent identification
url http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2020.04.004
work_keys_str_mv AT majingjing damageidentificationmethodbasedkrigingmodel
AT yinhong damageidentificationmethodbasedkrigingmodel
AT pengzhenrui damageidentificationmethodbasedkrigingmodel
AT dongkangli damageidentificationmethodbasedkrigingmodel