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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Format: | Article |
Language: | zho |
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Editorial Office of Journal of Mechanical Strength
2020-01-01
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Series: | Jixie qiangdu |
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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 |