A Combined Modal Correlation Criterion for Structural Damage Identification with Noisy Modal Data
Structural damage identification is a scientific field that has attracted a lot of interest in the scientific community during the recent years. There have been many studies intending to find a reliable method to identify damage in structural elements both in location and extent. Most damage identif...
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Language: | English |
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Wiley
2018-01-01
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Series: | Advances in Civil Engineering |
Online Access: | http://dx.doi.org/10.1155/2018/3183067 |
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author | Manolis Georgioudakis Vagelis Plevris |
author_facet | Manolis Georgioudakis Vagelis Plevris |
author_sort | Manolis Georgioudakis |
collection | DOAJ |
description | Structural damage identification is a scientific field that has attracted a lot of interest in the scientific community during the recent years. There have been many studies intending to find a reliable method to identify damage in structural elements both in location and extent. Most damage identification methods are based on the changes of dynamic characteristics and static responses, but the incompleteness of the test data is a great obstacle for both. In this paper, a structural damage identification method based on the finite element model updating is proposed, in order to provide the location and the extent of structural damage using incomplete modal data of a damaged structure. The structural damage identification problem is treated as an unconstrained optimization problem which is solved using the differential evolution search algorithm. The objective function used in the optimization process is based on a combination of two modal correlation criteria, providing a measure of consistency and correlation between estimations of mode shape vectors. The performance and robustness of the proposed approach are evaluated with two numerical examples: a simply supported concrete beam and a concrete frame under several damage scenarios. The obtained results exhibit high efficiency of the proposed approach for accurately identifying the location and extent of structural damage. |
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id | doaj-art-d20b64671a4c4b0d8b86d9fcc0ec5516 |
institution | Kabale University |
issn | 1687-8086 1687-8094 |
language | English |
publishDate | 2018-01-01 |
publisher | Wiley |
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series | Advances in Civil Engineering |
spelling | doaj-art-d20b64671a4c4b0d8b86d9fcc0ec55162025-02-03T05:50:56ZengWileyAdvances in Civil Engineering1687-80861687-80942018-01-01201810.1155/2018/31830673183067A Combined Modal Correlation Criterion for Structural Damage Identification with Noisy Modal DataManolis Georgioudakis0Vagelis Plevris1Institute of Structural Analysis and Antiseismic Research, School of Civil Engineering, National Technical University of Athens, Zografou Campus, Athens 15780, GreeceDepartment of Civil Engineering and Energy Technology, OsloMet—Oslo Metropolitan University, Pilestredet 35, Oslo 0166, NorwayStructural damage identification is a scientific field that has attracted a lot of interest in the scientific community during the recent years. There have been many studies intending to find a reliable method to identify damage in structural elements both in location and extent. Most damage identification methods are based on the changes of dynamic characteristics and static responses, but the incompleteness of the test data is a great obstacle for both. In this paper, a structural damage identification method based on the finite element model updating is proposed, in order to provide the location and the extent of structural damage using incomplete modal data of a damaged structure. The structural damage identification problem is treated as an unconstrained optimization problem which is solved using the differential evolution search algorithm. The objective function used in the optimization process is based on a combination of two modal correlation criteria, providing a measure of consistency and correlation between estimations of mode shape vectors. The performance and robustness of the proposed approach are evaluated with two numerical examples: a simply supported concrete beam and a concrete frame under several damage scenarios. The obtained results exhibit high efficiency of the proposed approach for accurately identifying the location and extent of structural damage.http://dx.doi.org/10.1155/2018/3183067 |
spellingShingle | Manolis Georgioudakis Vagelis Plevris A Combined Modal Correlation Criterion for Structural Damage Identification with Noisy Modal Data Advances in Civil Engineering |
title | A Combined Modal Correlation Criterion for Structural Damage Identification with Noisy Modal Data |
title_full | A Combined Modal Correlation Criterion for Structural Damage Identification with Noisy Modal Data |
title_fullStr | A Combined Modal Correlation Criterion for Structural Damage Identification with Noisy Modal Data |
title_full_unstemmed | A Combined Modal Correlation Criterion for Structural Damage Identification with Noisy Modal Data |
title_short | A Combined Modal Correlation Criterion for Structural Damage Identification with Noisy Modal Data |
title_sort | combined modal correlation criterion for structural damage identification with noisy modal data |
url | http://dx.doi.org/10.1155/2018/3183067 |
work_keys_str_mv | AT manolisgeorgioudakis acombinedmodalcorrelationcriterionforstructuraldamageidentificationwithnoisymodaldata AT vagelisplevris acombinedmodalcorrelationcriterionforstructuraldamageidentificationwithnoisymodaldata AT manolisgeorgioudakis combinedmodalcorrelationcriterionforstructuraldamageidentificationwithnoisymodaldata AT vagelisplevris combinedmodalcorrelationcriterionforstructuraldamageidentificationwithnoisymodaldata |