- Tytuł:
- 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 - Powiązania:
- https://bibliotekanauki.pl/articles/1839671.pdf
- Data publikacji:
- 2021
- Wydawca:
- Polskie Towarzystwo Mechaniki Teoretycznej i Stosowanej
- Tematy:
-
Bayesian inference
dynamic properties
posterior distribution
vibration control
viscoelastic material - Opis:
- 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.
- Źródło:
-
Journal of Theoretical and Applied Mechanics; 2021, 59, 3; 369-384
1429-2955 - Pojawia się w:
- Journal of Theoretical and Applied Mechanics
- Dostawca treści:
- Biblioteka Nauki