Uso de propriedades colorimétricas na estimativa das propriedades físicas e mecânicas de madeiras tropicais

Detalhes bibliográficos
Ano de defesa: 2023
Autor(a) principal: Ruthes, Heloiza Candeia
Orientador(a): Christoforo, André Luis lattes
Banca de defesa: Não Informado pela instituição
Tipo de documento: Tese
Tipo de acesso: Acesso aberto
Idioma: por
Instituição de defesa: Universidade Federal de São Carlos
Câmpus São Carlos
Programa de Pós-Graduação: Programa de Pós-Graduação em Engenharia Civil - PPGECiv
Departamento: Não Informado pela instituição
País: Não Informado pela instituição
Palavras-chave em Português:
Palavras-chave em Inglês:
Área do conhecimento CNPq:
Link de acesso: https://repositorio.ufscar.br/handle/20.500.14289/18992
Resumo: Research into alternative methods for estimating wood properties has gained prominence due to the difficulties inherent in this process. Such difficulties include the lack of laboratories and specialized equipment necessary for the complete characterization of wood. Therefore, this study aims to develop equations using regression models, to estimate fifteen physical and mechanical properties by Brazilian standards for wooden structures. To accomplish this purpose, experimental data relating to the physical, and mechanical properties and colorimetric parameters of ten new species of tropical wood were used. Initially, the physical and mechanical properties and colorimetric parameters of these species were obtained and subjected to statistical analysis. Additionally, data from ten species resulting from related and previous research were also incorporated into the analysis. Linear and quadratic equations were obtained using regression models, considering colorimetric parameters and apparent density as independent variables. The independence of these variables was evaluated using the Pearson correlation test. Initially, the models were built with experimental data from just fifteen species. Subsequently, after validating these results, the same equations were generated considering experimental data from all species. In all models, the significance of the equations and their terms was assessed using analysis of variance (ANOVA). The adequacy of the models obtained was evaluated by the adjusted coefficient of determination, and in the validation phase, the percentage error obtained was investigated. The results indicated that the developed equations are statistically significant and present satisfactory adjustments for most estimated properties. Furthermore, apparent density proved to be the most influential parameter in these models, although colorimetric parameters have considerable significance.