On the use of viscoelastic materials characterized by Bayesian inference in vibration control

• Autorzy: Préve Cíntia Teixeira , Balbino Fernanda Oliveira , Ribeiro Junior Paulo Justiniano , de Oliveira Lopes Eduardo Márcio

Identyfikatory

DOI

10.15632/jtam-pl/138272

• Języki publikacji: EN

Abstrakty

EN

Viscoelastic materials are used to reduce vibrations in mechanical systems due to their con- trol efficacy. Considering that the dynamic behavior of those materials may be described by means of complex moduli, and experimental data may present ucertainties, an alternative is to use probabilistic methods, especially the Bayesian inference approach. By that approach, probability distribution functions are obtained for parameters of a model which describes the behavior of a given material. The present work employs a viscoelastic material modeled by the Bayesian approach in two vibration control actions, namely: a) use of vibration isolators; b) use of dynamic neutralizers. Transmissibility and receptance curves are displayed as well as dimensions of the control devices. Performance predictions are carried out in both cases. It is shown that the Bayesian approach can favourably reflect the presence of the uncertain- ties and advance their effects. Thus, more information can be provided for the designer of viscoelastic vibration control devices to anticipate eventual corrective measures.

Słowa kluczowe

EN

viscoelastic material; Bayesian inference; vibration isolator; viscoelastic dynamic neutralizer

• Wydawca: Polskie Towarzystwo Mechaniki Teoretycznej i Stosowanej
• Czasopismo: Journal of Theoretical and Applied Mechanics
• Rocznik: 2021
• Tom: Vol. 59 nr 3
• Strony: 385–--399
• Opis fizyczny: Bibliogr. 23 poz., rys., tab.

Twórcy

autor

Préve Cíntia Teixeira

• Federal University of Paraná, Postgraduate Program in Mechanical Engineering, Curitiba, Brazil

autor

Balbino Fernanda Oliveira

• Federal University of Paraná, Postgraduate Program in Mechanical Engineering, Curitiba, Brazil

autor

Ribeiro Junior Paulo Justiniano

• Federal University of Paraná, Department of Statistics, Curitiba, Brazil

autor

de Oliveira Lopes Eduardo Márcio

• Federal University of Paraná, Postgraduate Program in Mechanical Engineering, Curitiba, Brazil

Bibliografia

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Uwagi

„Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).”