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Influence of the procurement site on physical and mechanical properties of cupiúba wood species

dc.contributor.authorSilva, Carlos E.G.
dc.contributor.authorAlmeida, Diego H.
dc.contributor.authorAlmeida, Tiago H.
dc.contributor.authorChahud, Eduardo
dc.contributor.authorBranco, Luiz A.M.N.
dc.contributor.authorCampos, Cristiane I. [UNESP]
dc.contributor.authorLahr, Francisco A.R.
dc.contributor.authorChristoforo, André L.
dc.contributor.institutionUniversidade Federal de São Carlos (UFSCar)
dc.contributor.institutionUniversidade de São Paulo (USP)
dc.contributor.institutionUniversidade Federal de Minas Gerais (UFMG)
dc.contributor.institutionFUMEC University
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2019-10-06T15:32:58Z
dc.date.available2019-10-06T15:32:58Z
dc.date.issued2018-01-01
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 (Caracaraí and Bonfim do Sul, State of Roraima, Brazil) and Cláudia (State of Mato Grosso, Brazil) on physical and mechanical properties of a Cupiúba 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 Caracaraí 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 Cupiúba wood species using density as the estimator.en
dc.description.affiliationDepartment of Civil Engineering Federal University of São Carlos (UFSCar)
dc.description.affiliationDepartment of Materials Engineering Engineering School of São Carlos University of São Paulo (EESC/USP)
dc.description.affiliationDepartment of Civil Engineering Federal University of Minas Gerais (UFMG)
dc.description.affiliationFaculty of Engineering and Architecture FUMEC University
dc.description.affiliationSão Paulo State University (UNESP)
dc.description.affiliationDepartment of Structures Engineering Engineering School of São Carlos University of São Paulo (EESC/USP)
dc.description.affiliationUnespSão Paulo State University (UNESP)
dc.format.extent4118-4131
dc.identifier.citationBioResources, v. 13, n. 2, p. 4118-4131, 2018.
dc.identifier.issn1930-2126
dc.identifier.scopus2-s2.0-85061297876
dc.identifier.urihttp://hdl.handle.net/11449/187335
dc.language.isoeng
dc.relation.ispartofBioResources
dc.rights.accessRightsAcesso restrito
dc.sourceScopus
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 cupiúba wood speciesen
dc.typeArtigo
dspace.entity.typePublication

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