Exportação concluída — 

Projeto ótimo robusto de um absorvedor dinâmico de vibrações

Detalhes bibliográficos
Ano de defesa: 2018
Autor(a) principal: Martins, Leandro Augusto
Orientador(a): Não Informado pela instituição
Banca de defesa: Não Informado pela instituição
Tipo de documento: Dissertação
Tipo de acesso: Acesso aberto
Idioma: por
Instituição de defesa: Universidade Tecnológica Federal do Paraná
Cornelio Procopio
Brasil
Programa de Pós-Graduação em Engenharia Mecânica
UTFPR
Programa de Pós-Graduação: Não Informado pela instituição
Departamento: Não Informado pela instituição
País: Não Informado pela instituição
Palavras-chave em Português:
Link de acesso: http://repositorio.utfpr.edu.br/jspui/handle/1/4542
Resumo: This work aims at the development and application of an alternative methodology for the robust optimum design of a dynamic vibration absorber, which is a widely used passive vibration control technique. The purpose of this works is to improve the dynamic performance of the device under parametric uncertainties, within in the primary system, that are modeled as random variables with normal distribution. For the accomplishment of this work, the structure of a degree of freedom was built, which after is tuned to dynamic vibration absorber. The structure parameters were identified through inverse problem techniques. The Monte Carlo Simulation combined with the Latin Hypercube sampling is used as a stochastic solver to evaluate the structure uncertain dynamic response. The sensitivity analysis is applied in order to determine the most preponderant uncertain parameters in response variability. The robust optimization is implemented ally with the Monte Carlo Simulation and solved using a multiobjective genetic algorithm. The results demonstrate the significant influence of uncertainties on the mechanical system dynamics. Moreover, the optimal design permits to obtained improvements, proving the efficiency of the proposed methodology and presenting itself as a viable alternative for passive improvement of uncertain mechanical systems.