Detalhes bibliográficos
Ano de defesa: |
2012 |
Autor(a) principal: |
Leandro Filho, Francisco de Assis |
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: |
Não Informado pela instituição
|
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://www.repositorio.ufc.br/handle/riufc/4473
|
Resumo: |
A structural evaluation of wind turbines is an issue that depends on many variables such as the wind regime, type and size of the wind turbine as well as the uncertainties related to these factors. To enter these uncertainties are established probability distributions for the physical parameters of the medium. In this paper, we propose a probabilistic structural analysis using the finite element method to evaluate the uncertainties associated with wind power generation. Assesses the response of the structure to random loads, for an analysis of system stability. With this purpose we developed a finite element model based on ANSYS R platform able to faithfully reproduce the behavior of the tower subjected to wind loads produced by wind in spades. A statistical approach, we determined the solution modal and dynamic response with respect to random wind loads. We used Monte Carlo method as the method of probabilistic analysis. Once charging is considered the random objective was to determine the variation of output parameters, given the initial uncertainties, analyze the characteristics of material properties, stresses, displacements, natural frequencies and frequency response of the structure to randomness of the wind. We analyzed the influence of each uncertainty about the response in the frequency domain. From the results, it can be concluded that the numerical tool used may represent efficiently models of stochastic processes in structures for wind power generation and perform sensitivity analysis of dynamic variables involved. |