Multiobjective structural damage identification in uncertain environments
Evolutionary algorithms are suitable to solve damage identification problems in a multiobjective context. However, the performance of these methods can deteriorate quickly with increasing noise intensities originating numerous uncertainties. In this paper, a statistic structural damage detection met...
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EDP Sciences
2012-07-01
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Series: | MATEC Web of Conferences |
Online Access: | http://dx.doi.org/10.1051/matecconf/20120101006 |
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doaj-44422ea6977f4b4887bb2e1f3c02d22e2021-02-02T04:37:46ZengEDP SciencesMATEC Web of Conferences2261-236X2012-07-0110100610.1051/matecconf/20120101006Multiobjective structural damage identification in uncertain environmentsRuiz A.Perera R.Sevillano E.Evolutionary algorithms are suitable to solve damage identification problems in a multiobjective context. However, the performance of these methods can deteriorate quickly with increasing noise intensities originating numerous uncertainties. In this paper, a statistic structural damage detection method formulated in a multiobjective context is proposed. The statistic analysis is implemented to take into account the uncertainties existing in the structural model and measured structural modal parameters. The presented method is verified by a number of simulated damage scenarios. The effects of noise and damage levels on damage detection are investigated. http://dx.doi.org/10.1051/matecconf/20120101006 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Ruiz A. Perera R. Sevillano E. |
spellingShingle |
Ruiz A. Perera R. Sevillano E. Multiobjective structural damage identification in uncertain environments MATEC Web of Conferences |
author_facet |
Ruiz A. Perera R. Sevillano E. |
author_sort |
Ruiz A. |
title |
Multiobjective structural damage identification in uncertain environments |
title_short |
Multiobjective structural damage identification in uncertain environments |
title_full |
Multiobjective structural damage identification in uncertain environments |
title_fullStr |
Multiobjective structural damage identification in uncertain environments |
title_full_unstemmed |
Multiobjective structural damage identification in uncertain environments |
title_sort |
multiobjective structural damage identification in uncertain environments |
publisher |
EDP Sciences |
series |
MATEC Web of Conferences |
issn |
2261-236X |
publishDate |
2012-07-01 |
description |
Evolutionary algorithms are suitable to solve damage identification problems in a multiobjective context. However, the performance of these methods can deteriorate quickly with increasing noise intensities originating numerous uncertainties. In this paper, a statistic structural damage detection method formulated in a multiobjective context is proposed. The statistic analysis is implemented to take into account the uncertainties existing in the structural model and measured structural modal parameters. The presented method is verified by a number of simulated damage scenarios. The effects of noise and damage levels on damage detection are investigated. |
url |
http://dx.doi.org/10.1051/matecconf/20120101006 |
work_keys_str_mv |
AT ruiza multiobjectivestructuraldamageidentificationinuncertainenvironments AT pererar multiobjectivestructuraldamageidentificationinuncertainenvironments AT sevillanoe multiobjectivestructuraldamageidentificationinuncertainenvironments |
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1724305359798009856 |