Full characterization of Vatairea sp wood specie

• Autor(a) principal: Francisco Antônio Rocco Lahr
• Data de Publicação: 2016
• Outros Autores: Bruno H C Aftimus, Felipe Nascimento Arroyo, Diego H de Almeida, André Luis Christoforo, Eduardo Chahud, Luiz Antônio Melgaço Nunes Branco
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Repositório Institucional da UFMG
• Texto Completo: http://dx.doi.org/10.5923/j.ijme.20160603.05; http://hdl.handle.net/1843/56858; https://orcid.org/0000-0002-3510-8498; https://orcid.org/0000-0001-8226-172X; https://orcid.org/0000-0002-4066-080X; https://orcid.org/0000-0003-3168-7055; https://orcid.org/0000-0002-2538-3525
• topic: Vatairea sp; Characterization; Density; Regression model; Vatairea; Densidade; Madeira

In Brazil, wood is a material which has been used for years in different purposes. The variety of Brazilian tropical wood species is expressive, nonetheless only a few of them are considered in structural design. Taking in account possibility of eventual shortages of these well-known wood species, characterization of alternative essences is presented as fundamental for maintenance of wood supply for civil construction. In Brazil, the structural dimensioning and timber characterization are specified by ABNT NBR 7190:1997 (Timber structures design), in its Annex B. This work aimed, with the aid of Brazilian Code, determining physical (4) and mechanical (13) properties of Angelim Saia (Vatairea sp.). Besides, with regression model (linear, exponential, geometric and logarithmic) based in analysis of variance (ANOVA), it was aimed to estimate resistance values and stiffness in function of the density, once this is an easy-obtainable property for wood. From a set of twelve aleatory pieces, twelve specimens were produced for each test type, totalizing 204 experimental measurements. Results of mechanical properties showed compatible performance with other species already established for use in structure, which shows the potential of Angelim Saia for structural purposes. From regression models for estimate strength and stiffness values, it was possible conclude that not all properties can be estimate by density. Better results were showed by the geometric model in estimation of hardness parallel to grain, who provided determination coefficient (R²) close to 70%.