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		<doi>10.22055/JACM.2018.25033.1224</doi>
		<issn>2383-4536</issn>
		<citationkey>RibeiroRittCampHers:2018:DaIdMu</citationkey>
		<title>Damage identification in a Multi-DOF system under uncertainties using optimization algorithms</title>
		<year>2018</year>
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		<secondarytype>PRE PI</secondarytype>
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		<author>Ribeiro, Ricardo F.,</author>
		<author>Ritto, Thiago G.,</author>
		<author>Campos Velho, Haroldo Fraga de,</author>
		<author>Herskovits, José,</author>
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		<group></group>
		<group></group>
		<group>LABAC-COCTE-INPE-MCTIC-GOV-BR</group>
		<affiliation>Universidade Federal do Rio de Janeiro (UFRJ)</affiliation>
		<affiliation>Universidade Federal do Rio de Janeiro (UFRJ)</affiliation>
		<affiliation>Instituto Nacional de Pesquisas Espaciais (INPE)</affiliation>
		<affiliation>Universidade Federal do Rio de Janeiro (UFRJ)</affiliation>
		<electronicmailaddress></electronicmailaddress>
		<electronicmailaddress>tritto@mecanica.ufrj.br</electronicmailaddress>
		<electronicmailaddress>haroldo.camposvelho@inpe.br</electronicmailaddress>
		<journal>Journal of Applied and Computational Mechanics</journal>
		<volume>4</volume>
		<number>4</number>
		<pages>365-374</pages>
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		<keywords>Damage identification, Optimization, Uncertainties.</keywords>
		<abstract>In this study, four optimization algorithms are applied to identify the damage in a multi-DOF dynamical system composed of masses, springs, and dampers. The damage is introduced artificially by choosing a lower value for the stiffness. The applied algorithms include Nelder-Mead Simplex, BFGS Quasi-Newton, interior point, and sequential quadratic programming - SQP. In addition, some different strategies to identify damage are applied. First, a deterministic analysis is performed to identify the damage; i.e, the values of the stiffnesses. Then, random forces are considered, and finally, the stiffness values are considered uncertain and the different strategies are compared.</abstract>
		<area>COMP</area>
		<language>en</language>
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