Physical-mechanical properties of Cajueiro wood estimated by non-destructive methods based on apparent density and natural vibration frequency

• Autor(a) principal: Silva, Larissa Soriani Zanini Ribeiro Soares
• Data de Publicação: 2023
• Outros Autores: Panzera, Túlio Hallak, Garcia, Carlos Thomas, Silva, Diogo Aparecido Lopes, Lahr, Francisco Antônio Rocco, Christoforo, André Luís
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Ciência Florestal (Online)
• Texto Completo: https://periodicos.ufsm.br/cienciaflorestal/article/view/66096
• topic: Anacardium; Caracterização da madeira; Modelos de regressão; Coeficiente de determinação; Anacardium; Wood characterization; Regression models; Coefficient of determination

Wood has several properties that make it attractive when compared to other materials, however, for its use, it is necessary to know the values of resistance and stiffness. In this sense, the use of non-destructive techniques adds to the process. Among the non-destructive techniques of mechanical evaluation, we highlight those that use the natural frequencies of vibration whose results can be repeated and compared over time. This research aimed to relate the physical and mechanical properties of cajueiro wood [Anacardium sp], with the apparent density and with the natural frequency of the transversal vibration test, through regression models. Twenty-four transverse vibration tests and 204 experimental determinations were performed. Linear regression models were then generated as a function of apparent density and transverse vibration frequency, as well as quadratic multivariable regression models, to estimate wood properties. From the linear regression models, weak correlations were noted between density and natural frequency with the physico-mechanical properties evaluated, resulting in low precision estimates. Regarding the multivariable regression models, quadratic adjusted coefficients of determination (R²aj) higher than 80% were verified for 03 models of the 16 evaluated.