Statistical Multi-Objective Structural Damage Identification based on Dynamic Parameters
Data(s) |
2012
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Resumo |
Evolutionary algorithms are suitable to solve damage identification problems in a multi-objective 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 multi-objective 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. |
Formato |
application/pdf |
Identificador | |
Idioma(s) |
eng |
Publicador |
E.T.S.I. Industriales (UPM) |
Relação |
http://oa.upm.es/36708/1/INVE_MEM_2012_193249.pdf http://www.civil-comp.com/conf/cst2012.htm BIA2010-20234-C03-01 |
Direitos |
http://creativecommons.org/licenses/by-nc-nd/3.0/es/ info:eu-repo/semantics/restrictedAccess |
Fonte |
Proceedings of the Eleventh International Conference on Computational Structures Technology | Eleventh International Conference on Computational Structures Technology | 4-7 September 2012 | Dubrovnik (Croacia) |
Palavras-Chave | #Ingeniería Industrial #Matemáticas |
Tipo |
info:eu-repo/semantics/conferenceObject Ponencia en Congreso o Jornada PeerReviewed |