Abstract
This research intends to evaluate the relation, aided by the Brazilian Standard ABNT NBR 7190 and statistical analysis (Kruskal-Wallis ANOVA and bootstrap technique), between physical and mechanical properties of Cambara-Rosa wood harvested from three different regions: Vera, Mucajai and South Rondonia. In addition, the possibility to estimate (regression models) physical and mechanical properties in function of apparent density was analyzed. Different climate and soil conditions which tree thrives may influence its growth and, consequently, its properties values. The results of ANOVA indicated an elevated equivalence index for all three regions. The bootstrap technique led to similar results for Vera and Mucajai regions, and for South Rondonia region, equivalence index equals to 89 %. The ANOVA results to estimate physical and mechanical properties in function of apparent density indicated that it is not possible to perform such estimates for Cambara-Rosa wood species
Highlights
Brazil is the country with the largest wood flora biodiversity, presenting 8715 wood species
The results are presented for the woods originated from Vera (Ver) in Brazilian state of Mato Grosso, Mucajaí (Muc) in Brazilian state of Roraima and Southern region of Brazilian state of Rondônia (SRo), respectively
The observation of the characteristic values obtained for the compressive strength parallel to the grain of the wood removed from the three analyzed regions shows that there were differences between them, with which one being classified on different strength classes
Summary
Brazil is the country with the largest wood flora biodiversity, presenting 8715 wood species. Brazil displays the highest number of endemic wood species, with 4333 species. The country owns large vegetal cover, covering 58 % of its territory (493,5 million hectares). In this case, only a few number of Maderas. Wood use in civil construction, mainly in structural purpose, presents great potential due its strength values are close to other civil construction materials such as steel and concrete. The wood is a natural and renewable material and displays a low energetic demand on its productive process (Muttil et al 2014, Hurmekoski et al 2015, Ferreira et al 2017, Ramage et al 2017, Wieruszewski and Mazela 2017, Nascimento et al 2018)
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