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Dissertação
Métodos não destrutivos como ferramenta de apoio aos planos de manejo florestal sustentado na Amazônia
Nondestructive techniques (NDT) can be defined as those that identify physical and mechanical properties of materials without changing their ability to use future. The study of wood and its by-products by means of these techniques is well known and dates back to the 1960s. The advantage over destruc...
Autor principal: | Silva, Fernando da |
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Grau: | Dissertação |
Idioma: | por |
Publicado em: |
Instituto Nacional de Pesquisas da Amazônia - INPA
2020
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Assuntos: | |
Acesso em linha: |
https://repositorio.inpa.gov.br/handle/1/5075 http://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4293902T2 |
Resumo: |
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Nondestructive techniques (NDT) can be defined as those that identify physical and mechanical properties of materials without changing their ability to use future. The study of wood and its by-products by means of these techniques is well known and dates back to the 1960s. The advantage over destructive techniques is the speed of assessment and reduced cost. The objective was to evaluate and classify forest residues through the technique of nondestructive evaluation of wood with the use of stress waves. We evaluated the species Nectandra cuspidata Ness Mart., Mezilaurus itauba (Meissn.) Taub. e Ocotea guianensis Ducke. The species were identified anatomically in the Laboratory of Wood Anatomy of the National Institute of Amazonian Research. Samples were prepared and tested in accordance with recommendations of the COPAN Standards. Before the destructive bending test, the samples were evaluated by non-destructive method with stress waves for determining the dynamic modulus of elasticity based on the speed of propagation of waves. The tukey test showed significant differences between the mean values for physical properties of the species, but not to the mechanical properties. Linear models were fitted between the wave propagation velocity, dynamic and static modulus of elasticity for each species and for all data, in both cases the models showed a high R2 and highly significant, however the analysis of all data in a single group showed superior results. It is concluded that the method is suitable to assess and classify the material evalueted based on the speed of propagation of stress waves, capturing even small variations such as intra-specific, allowing the development of models with good predictability. The grading of wooden parts based on the speed of propagation of stress waves is shown to be highly efficient and effective, contributing to a significant improvement on the knowledge of the physical-mechanical properties of wood. |