Data/hora: 02/06/2024 00:48:10

Provedor de dados: | 70
País: | Brazil
Título: | PHYSICO-MECHANICAL CHARACTERIZATION OF THE Anadenanthera colubrine WOOD SPECIE
Autores: | Christoforo,André L.; Aftimus,Bruno H. C.; Panzera,Tulio H.; Machado,Gilmara de O.; Lahr,Francisco A. R.
Data: | 2017-04-01
Ano: | 2017
Palavras-chave: | Anadenanthera colubrina; Physico-mechanical characterization; Apparent density; Regression models; Analysis of variance (ANOVA).
Resumo: | ABSTRACT In Brazil, the characterization of wood is carried out in accordance with the premises established by ABNT NBR 7190standard; however, the determination of wood properties requires the use of equipment, which hinders the wood characterization for the construction professional. To circumvent this problem, the properties of wood strength and stiffness can be estimated through regression models using the apparent density as estimator, being the density a physical property of easy determination. This study aimed to determine 4 physical and 13 mechanical properties of “Angico Branco” wood (Anadenanthera colubrina), and with the aid of regression models based on analysis of variance, estimate the strength and stiffness properties as a function of apparent density. Twelve samples were produced for each test, resulting in a total of 204 experimental determinations. The results of mechanical properties showed consistent performance with other wood species studied, demonstrating their potential use in various applications. From the regression models, only the longitudinal modulus of elasticity in parallel compression to the grain showed a significant result, and the best were obtained with the linear model, which provided determination coefficient (R2) equal to 56.32%.
Tipo: | Info:eu-repo/semantics/article
Idioma: | Inglês
Identificador: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162017000200376
Editor: | Associação Brasileira de Engenharia Agrícola
Relação: | 10.1590/1809-4430-eng.agric.v37n2p376-384/2017
Formato: | text/html
Fonte: | Engenharia Agrícola  v.37 n.2 2017
Fonte: | info:eu-repo/semantics/openAccess