Detecting damage location and severity in a double layer grid using modal strain energy method and data fusion

Changes in modal strain energy of elements before and after damage is a robust damage detection index. However, in structures like double layer grids which have large number of elements, this method has some problems. First, In large structures this method needs more mode shapes to detect damage thr...

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Autores principales: hamed teimouri, Mohammad Reza Davoodi, Seyed amin Mostafavian
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Lenguaje:FA
Publicado: Iranian Society of Structrual Engineering (ISSE) 2020
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Acceso en línea:https://doaj.org/article/70b1438754fb4daf8e32c89e5db0f16b
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spelling oai:doaj.org-article:70b1438754fb4daf8e32c89e5db0f16b2021-11-08T15:53:20ZDetecting damage location and severity in a double layer grid using modal strain energy method and data fusion2476-39772538-261610.22065/jsce.2018.126917.1518https://doaj.org/article/70b1438754fb4daf8e32c89e5db0f16b2020-09-01T00:00:00Zhttps://www.jsce.ir/article_70568_b4085ea9e1a76bff5b74c6bfa8203747.pdfhttps://doaj.org/toc/2476-3977https://doaj.org/toc/2538-2616Changes in modal strain energy of elements before and after damage is a robust damage detection index. However, in structures like double layer grids which have large number of elements, this method has some problems. First, In large structures this method needs more mode shapes to detect damage through modal strain energy method which in practice is difficult to determine. Second, this method introduce some healthy elements as damaged element. To overcome these problems, in this paper a two stage damage detection technique based on modal strain energy method is presented for detecting damage in double layer grids. First, the Modal Strain Energy Based Index (MSEBI) for each mode shape is determined. Then a data fusion technique based on Bayesian theory is used to combine MSEBI values obtained from each mode shape to find damaged elements. Then Charged System Search (CSS) optimization method which is a powerful optimization method is employed to optimize an objective function based on natural frequency to determine damage severity of damaged elements. To demonstrate the performance of the proposed method, a large double layer grid with 1536 elements and different single and multiple damage cases is considered. Numerical results show that the proposed method can successfully find damaged elements and their severities using only few first numbers of mode shapes and frequencies.hamed teimouriMohammad Reza DavoodiSeyed amin MostafavianIranian Society of Structrual Engineering (ISSE)articledamage detectionmodal strain energy methodbayesian theorydouble layer gridcharged system searchBridge engineeringTG1-470Building constructionTH1-9745FAJournal of Structural and Construction Engineering, Vol 7, Iss 3, Pp 35-54 (2020)
institution DOAJ
collection DOAJ
language FA
topic damage detection
modal strain energy method
bayesian theory
double layer grid
charged system search
Bridge engineering
TG1-470
Building construction
TH1-9745
spellingShingle damage detection
modal strain energy method
bayesian theory
double layer grid
charged system search
Bridge engineering
TG1-470
Building construction
TH1-9745
hamed teimouri
Mohammad Reza Davoodi
Seyed amin Mostafavian
Detecting damage location and severity in a double layer grid using modal strain energy method and data fusion
description Changes in modal strain energy of elements before and after damage is a robust damage detection index. However, in structures like double layer grids which have large number of elements, this method has some problems. First, In large structures this method needs more mode shapes to detect damage through modal strain energy method which in practice is difficult to determine. Second, this method introduce some healthy elements as damaged element. To overcome these problems, in this paper a two stage damage detection technique based on modal strain energy method is presented for detecting damage in double layer grids. First, the Modal Strain Energy Based Index (MSEBI) for each mode shape is determined. Then a data fusion technique based on Bayesian theory is used to combine MSEBI values obtained from each mode shape to find damaged elements. Then Charged System Search (CSS) optimization method which is a powerful optimization method is employed to optimize an objective function based on natural frequency to determine damage severity of damaged elements. To demonstrate the performance of the proposed method, a large double layer grid with 1536 elements and different single and multiple damage cases is considered. Numerical results show that the proposed method can successfully find damaged elements and their severities using only few first numbers of mode shapes and frequencies.
format article
author hamed teimouri
Mohammad Reza Davoodi
Seyed amin Mostafavian
author_facet hamed teimouri
Mohammad Reza Davoodi
Seyed amin Mostafavian
author_sort hamed teimouri
title Detecting damage location and severity in a double layer grid using modal strain energy method and data fusion
title_short Detecting damage location and severity in a double layer grid using modal strain energy method and data fusion
title_full Detecting damage location and severity in a double layer grid using modal strain energy method and data fusion
title_fullStr Detecting damage location and severity in a double layer grid using modal strain energy method and data fusion
title_full_unstemmed Detecting damage location and severity in a double layer grid using modal strain energy method and data fusion
title_sort detecting damage location and severity in a double layer grid using modal strain energy method and data fusion
publisher Iranian Society of Structrual Engineering (ISSE)
publishDate 2020
url https://doaj.org/article/70b1438754fb4daf8e32c89e5db0f16b
work_keys_str_mv AT hamedteimouri detectingdamagelocationandseverityinadoublelayergridusingmodalstrainenergymethodanddatafusion
AT mohammadrezadavoodi detectingdamagelocationandseverityinadoublelayergridusingmodalstrainenergymethodanddatafusion
AT seyedaminmostafavian detectingdamagelocationandseverityinadoublelayergridusingmodalstrainenergymethodanddatafusion
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