dc.contributorUniversidade Federal de São Carlos (UFSCar)
dc.contributorUniversidade de São Paulo (USP)
dc.contributorUniversidade Federal de Minas Gerais (UFMG)
dc.contributorFUMEC Univ
dc.contributorUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2018-11-26T17:54:43Z
dc.date.available2018-11-26T17:54:43Z
dc.date.created2018-11-26T17:54:43Z
dc.date.issued2018-01-01
dc.identifierBioresources. Raleigh: North Carolina State Univ Dept Wood & Paper Sci, v. 13, n. 2, p. 4118-4131, 2018.
dc.identifier1930-2126
dc.identifierhttp://hdl.handle.net/11449/164481
dc.identifier10.15376/biores.13.2.4118-4131
dc.identifierWOS:000440518000027
dc.description.abstractStudies that estimate technological properties of tropical wood species (especially those from the Amazon Rainforest) for their use in building construction, mainly structures, are very desirable. This paper aimed to investigate, aided by ABNT NBR 7190 (1997) recommendations, by Kruskal-Wallis analysis of variance (ANOVA), and regrouping bootstrap simulation technique, the influence of procurement sites (Caracarai and Bonfim do Sul, State of Roraima, Brazil) and Claudia (State of Mato Grosso, Brazil) on physical and mechanical properties of a Cupiuba wood species (Goupia glabra Aubl.). It was intended to assess the possibility of estimating (by linear, exponential, geometric, and logarithmic mathematical models) the physical and mechanical properties investigated as a function of density at 12% of moisture content. The results of ANOVA indicated equivalence in 94% of the properties of the Caracarai and Claudia sites, and no equivalence in 50% of the properties in the Bonfim site; even after extrapolation by the bootstrap simulation technique, the non-equivalence was still 44%. Results obtained from the regression models implied a possibility of an estimate of the physical and mechanical properties of Cupiuba wood species using density as the estimator.
dc.languageeng
dc.publisherNorth Carolina State Univ Dept Wood & Paper Sci
dc.relationBioresources
dc.relation0,405
dc.rightsAcesso restrito
dc.sourceWeb of Science
dc.subjectAmazon forest
dc.subjectMechanical properties
dc.subjectPhysical properties
dc.subjectRegression Models
dc.subjectTropical wood
dc.titleInfluence of the Procurement Site on Physical and Mechanical Properties of Cupiuba Wood Species
dc.typeArtículos de revistas


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