BAYESIAN DESIGN OF EXPERIMENT FOR THE ESTIMATION OF VISCOELASTIC PARAMETERS

Josiele da Silva Teixeira, Leonardo Tavares Stutz, Antônio José da Silva Neto, Diego Campos Knupp, Anilton do Nascimento Viana

Resumo


The present work has as its main objective the formulation and solution of inverse problems aiming at the estimation of viscoelastic parameters of a discrete mechanical system. Its application potential covers several areas in the most varied segments of engineering and industry. For the formulation and solution of the direct problem, a discrete mechanical system with viscoelastic damping is considered. The parameter estimation problem is then formulated as an inverse problem, whose objective is to estimate the viscoelastic properties of a discrete system using a Bayesian approach. First, a Bayesian design of experiment its carried out in order to identify optimal experimental conditions for solving the inverse problem, taking into account the positioning of the sensors and actuators. To solve the parameter estimation inverse problem, an Adaptive Monte Carlo Markov Chain Method is employed.

Palavras-chave


Viscoelastic Damping; Bayesian Inference; Markov Chain Monte Carlo Methods; Bayesian Experiment Project

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DOI: http://dx.doi.org/10.21575/25254782rmetg2020vol5n21163

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Direitos autorais 2020 Josiele da Silva Teixeira, Leonardo Tavares Stutz, Antônio José da Silva Neto, Diego Campos Knupp, Anilton do Nascimento Viana

Revista Mundi Engenharia, Tecnologia e Gestão ISSN 2525-4782

Qualis: B4 - Interdisciplinar, B5 - Geografia, B5 - Administração Pública e de Empresas, Ciências Contábeis e Turismo, B5 - Comunicação e Informação, B5 - Engenharias III