Desenvolvimento de uma metodologia para elaboração de modelos de predição dos níveis de ruído do campo acústico de usinas hidrelétricas
Ano de defesa: | 2014 |
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Autor(a) principal: | |
Orientador(a): | |
Banca de defesa: | |
Tipo de documento: | Dissertação |
Tipo de acesso: | Acesso aberto |
Idioma: | por |
Instituição de defesa: |
Universidade Estadual Paulista (Unesp)
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Programa de Pós-Graduação: |
Não Informado pela instituição
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Departamento: |
Não Informado pela instituição
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País: |
Não Informado pela instituição
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Palavras-chave em Português: | |
Link de acesso: | http://hdl.handle.net/11449/123119 http://www.athena.biblioteca.unesp.br/exlibris/bd/cathedra/23-04-2015/000823783.pdf |
Resumo: | The high levels of noise have been a serious problem in the workplace, especially in industries, causing damage to health of many employees. However, in many cases, control of noise levels requires complex engineering measures, with attendant high costs and thus demands good technical and financial planning. In this context, this work aimed to develop a methodology for evaluation and control of noise at work, by means of tools that can predict outcomes and costs of implementation of the control noise measures, to give guidelines for a management strategy of occupational noise. This project is to provide information and data for the preparation of a map of the acoustic environment inside the Ilha Solteira Hydroelectric Plant and will be divided into two approaches, a theoretical and an experimental approach. In the experimental approach, measurements of a number of points will be made around each source identified in the environment, the data will be processed and analyzed to be compared with the values obtained in the simulation model. In the theoretical approach will be created a simulation model of the noise at the floor of the generators, taking into account the actual data of the building construction and the sources identified in the environment. The final prediction model will be validated by comparing the values obtained by simulations with values measured in the field |