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dc.rights.licenseopenen_US
hal.structure.identifierESTIA INSTITUTE OF TECHNOLOGY
dc.contributor.authorMONTAGUD, Santiago
dc.contributor.authorAGUADO, José Vicente
dc.contributor.authorCHINESTA, Francisco
hal.structure.identifierESTIA INSTITUTE OF TECHNOLOGY
dc.contributor.authorJOYOT, Pierre
ORCID: 0000-0002-6608-7343
IDREF: 085496057
dc.date.accessioned2023-04-11T15:52:24Z
dc.date.available2023-04-11T15:52:24Z
dc.date.issued2020
dc.identifier.issn0888-3270en_US
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/172960
dc.description.abstractThis paper is concerned with the computation of the inverse impulse response of a parametrized structural dynamics problem using reduced-order modeling and randomized excitations. A two-stages approach is proposed, involving the solution of both direct and inverse problems. In the first stage, the parametrized structural dynamics problem is formulated in the frequency domain, and solved using a reduced-order modeling approach. As a result, the parametric transfer function of the structure is obtained, and then readily transformed into a parametric direct impulse response (DIR). In the second stage, the parametric inverse impulse response (IIR) is computed. We use randomized excitations to generate synthetic samples inexpensively from the parametric DIR. Based on these, the parametric IIR is computed by minimizing the mean square error between the estimate and the samples. Most importantly, we show that the randomized excitations can be generated by sampling the frequency domain only. Hence, the parametric domain does not need to be sampled, which makes the computation of the parametric IIR very efficient.
dc.language.isoENen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc/
dc.subject.enRandomization
dc.subject.enInverse problem
dc.subject.enParametric solutions
dc.subject.enReduced order modeling
dc.subject.enStructural dynamics
dc.title.enParametric inverse impulse response based on reduced order modeling and randomized excitations
dc.typeArticle de revueen_US
dc.identifier.doi10.1016/j.ymssp.2019.106392en_US
dc.subject.halSciences de l'ingénieur [physics]/Matériauxen_US
bordeaux.journalMechanical Systems and Signal Processingen_US
bordeaux.page1-15en_US
bordeaux.volume135en_US
bordeaux.hal.laboratoriesESTIA - Rechercheen_US
bordeaux.institutionUniversité de Bordeauxen_US
bordeaux.institutionBordeaux INPen_US
bordeaux.institutionBordeaux Sciences Agroen_US
bordeaux.peerReviewedouien_US
bordeaux.inpressnonen_US
bordeaux.import.sourcehal
hal.identifierhal-02348733
hal.version1
hal.exportfalse
workflow.import.sourcehal
dc.rights.ccPas de Licence CCen_US
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Mechanical%20Systems%20and%20Signal%20Processing&rft.date=2020&rft.volume=135&rft.spage=1-15&rft.epage=1-15&rft.eissn=0888-3270&rft.issn=0888-3270&rft.au=MONTAGUD,%20Santiago&AGUADO,%20Jos%C3%A9%20Vicente&CHINESTA,%20Francisco&JOYOT,%20Pierre&rft.genre=article


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