Wide estimation of dynamic properties of viscoelastic materials using Bayesian inference

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

Identyfikatory

DOI

10.15632/jtam-pl/137082

• Języki publikacji: EN

Abstrakty

EN

The dynamic behavior of a typical viscoelastic material in wide ranges of frequency and tem- perature is characterized. A four-parameter fractional derivative model was considered in the frequency domain along with the Arrhenius and WLF models, also for including tempera- ture as a source of variation. A Bayesian framework is adopted and inferences on parameters governing the model quantities of interest are based on samples from posterior distributions obtained by Monte Carlo Markov Chain (MCMC) methods. Posterior predictive checks were conducted to ensure the goodness-of-fit of the model. Based on the results we argue that the Bayesian framework allows more complete and suitable inference about dynamic properties of typical viscoelastic materials, as required for broad and sound vibration control actions.

Słowa kluczowe

EN

Bayesian inference; dynamic properties; posterior distribution; vibration control; viscoelastic material

• Wydawca: Polskie Towarzystwo Mechaniki Teoretycznej i Stosowanej
• Czasopismo: Journal of Theoretical and Applied Mechanics
• Rocznik: 2021
• Tom: Vol. 59 nr 3
• Strony: 369–--384
• Opis fizyczny: Bibliogr. 25 poz., rys., tab.

Twórcy

autor

Balbino Fernanda Oliveira

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

autor

Préve Cíntia Teixeira

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

autor

Munaro Marilda

• Federal University of Paraná, Postgraduate Program in Engineering and Science of Materials, 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).”