Bayesian model identification of higher-order frequency response functions for structures assembled by bolted joints

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MetadadosDescriçãoIdioma
Autor(es): dc.contributorUniversidade Estadual Paulista (Unesp)-
Autor(es): dc.contributorUniversidade Federal do Rio de Janeiro (UFRJ)-
Autor(es): dc.contributorCNRS/UFC/ENSMM/UTBM-
Autor(es): dc.creatorTeloli, Rafael de O. [UNESP]-
Autor(es): dc.creatorda Silva, Samuel [UNESP]-
Autor(es): dc.creatorRitto, Thiago G.-
Autor(es): dc.creatorChevallier, Gaël-
Data de aceite: dc.date.accessioned2022-02-22T00:48:01Z-
Data de disponibilização: dc.date.available2022-02-22T00:48:01Z-
Data de envio: dc.date.issued2021-06-25-
Data de envio: dc.date.issued2021-06-25-
Data de envio: dc.date.issued2021-04-01-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.1016/j.ymssp.2020.107333-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/206750-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/206750-
Descrição: dc.descriptionThis paper proposes a procedure to identify a stochastic Bouc-Wen model for describing the dynamics of a structure assembled by bolted joints considering vibration data. The proposed identification approach is expressed into a Bayesian framework to take into account the data fluctuations related to uncertainties in the measurement process. The calibration of the model parameters uses the analytical expressions of the higher-order frequency response functions (FRFs) for approximating experimental measurements. The Metropolis-Hastings algorithm is employed for approximating posterior distributions. Once calibrated, the applicability of the probabilistic Bouc-Wen model is evaluated, and its dynamical behavior is compared with experimental measurements from the bolted structure. The results show that the stochastic version of the Bouc-Wen model can predict with adequate agreement, including hysteretic effects, the output of the jointed structure considering several excitation amplitudes.-
Descrição: dc.descriptionUNESP – Universidade Estadual Paulista Faculdade de Engenharia de Ilha Solteira Departamento de Engenharia Mecânica, Av. Brasil, 56-
Descrição: dc.descriptionUFRJ – Universidade Federal do Rio de Janeiro Departamento de Engenharia Mecânica Ilha do Fundão-
Descrição: dc.descriptionUniv. Bourgogne Franche-Comté FEMTO-ST Institute CNRS/UFC/ENSMM/UTBM Department of Applied Mechanics, 24 chemin de l'Epitaphe-
Descrição: dc.descriptionUNESP – Universidade Estadual Paulista Faculdade de Engenharia de Ilha Solteira Departamento de Engenharia Mecânica, Av. Brasil, 56-
Idioma: dc.languageen-
Relação: dc.relationMechanical Systems and Signal Processing-
???dc.source???: dc.sourceScopus-
Palavras-chave: dc.subjectBayesian identification-
Palavras-chave: dc.subjectHigher-order frequency response function-
Palavras-chave: dc.subjectHysteretic systems-
Palavras-chave: dc.subjectJointed structures-
Palavras-chave: dc.subjectVolterra series-
Título: dc.titleBayesian model identification of higher-order frequency response functions for structures assembled by bolted joints-
Tipo de arquivo: dc.typelivro digital-
Aparece nas coleções:Repositório Institucional - Unesp

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