Multiobjective structural damage identification in uncertain environments

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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Bibliographic Details
Main Authors: Ruiz A., Perera R., Sevillano E.
Format: Article
Language:English
Published: EDP Sciences 2012-07-01
Series:MATEC Web of Conferences
Online Access:http://dx.doi.org/10.1051/matecconf/20120101006
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spelling 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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