Estimation of mechanical properties in Eucalyptus woods towards physical and anatomical parameters
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1016/j.conbuildmat.2022.128824 http://hdl.handle.net/11449/240755 |
Resumo: | There is a perceptible opportunity to utilize eucalypts in value-added wooden products with structural features for construction. But, tests to determine the wood properties require specific equipment and technical training. As alternative, the study utilized optical microscopy to measure some anatomical elements of 10 eucalypt varieties to estimate their mechanical properties in line with anatomical parameters and bulk densities using regression models. Eight anatomical properties about constituent sizes and six mechanical properties about compression behaviors were evaluated. Regression models were positively conclusive, as R2 values were 94.15, 92.95 and 77.77 for the modulus of elasticity in compression parallel, compression parallel strength and shear stress parallel to the grain, respectively. |
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Repositório Institucional da UNESP |
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Estimation of mechanical properties in Eucalyptus woods towards physical and anatomical parametersBulk densityEucalyptusMechanical propertiesRegression modelWood anatomyThere is a perceptible opportunity to utilize eucalypts in value-added wooden products with structural features for construction. But, tests to determine the wood properties require specific equipment and technical training. As alternative, the study utilized optical microscopy to measure some anatomical elements of 10 eucalypt varieties to estimate their mechanical properties in line with anatomical parameters and bulk densities using regression models. Eight anatomical properties about constituent sizes and six mechanical properties about compression behaviors were evaluated. Regression models were positively conclusive, as R2 values were 94.15, 92.95 and 77.77 for the modulus of elasticity in compression parallel, compression parallel strength and shear stress parallel to the grain, respectively.Department of Civil Engineering Federal University of São CarlosDepartment of Civil Engineering University of São PauloScience and Engineering Institute São Paulo State UniversityDepartment of Production Engineering Federal University of São CarlosScience and Engineering Institute São Paulo State UniversityUniversidade Federal de São Carlos (UFSCar)Universidade de São Paulo (USP)Universidade Estadual Paulista (UNESP)Marini, Lucas JoséCavalheiro, Raquel SchmittAraujo, Victor Almeida de [UNESP]Cortez-Barbosa, Juliana [UNESP]Campos, Cristiane Inácio de [UNESP]Molina, Júlio César [UNESP]Silva, Diogo Aparecido LopesLahr, Francisco Antonio RoccoChristoforo, André Luis2023-03-01T20:31:29Z2023-03-01T20:31:29Z2022-10-17info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://dx.doi.org/10.1016/j.conbuildmat.2022.128824Construction and Building Materials, v. 352.0950-0618http://hdl.handle.net/11449/24075510.1016/j.conbuildmat.2022.1288242-s2.0-85137158497Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengConstruction and Building Materialsinfo:eu-repo/semantics/openAccess2023-03-01T20:31:29Zoai:repositorio.unesp.br:11449/240755Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-06T00:10:13.682041Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Estimation of mechanical properties in Eucalyptus woods towards physical and anatomical parameters |
title |
Estimation of mechanical properties in Eucalyptus woods towards physical and anatomical parameters |
spellingShingle |
Estimation of mechanical properties in Eucalyptus woods towards physical and anatomical parameters Marini, Lucas José Bulk density Eucalyptus Mechanical properties Regression model Wood anatomy |
title_short |
Estimation of mechanical properties in Eucalyptus woods towards physical and anatomical parameters |
title_full |
Estimation of mechanical properties in Eucalyptus woods towards physical and anatomical parameters |
title_fullStr |
Estimation of mechanical properties in Eucalyptus woods towards physical and anatomical parameters |
title_full_unstemmed |
Estimation of mechanical properties in Eucalyptus woods towards physical and anatomical parameters |
title_sort |
Estimation of mechanical properties in Eucalyptus woods towards physical and anatomical parameters |
author |
Marini, Lucas José |
author_facet |
Marini, Lucas José Cavalheiro, Raquel Schmitt Araujo, Victor Almeida de [UNESP] Cortez-Barbosa, Juliana [UNESP] Campos, Cristiane Inácio de [UNESP] Molina, Júlio César [UNESP] Silva, Diogo Aparecido Lopes Lahr, Francisco Antonio Rocco Christoforo, André Luis |
author_role |
author |
author2 |
Cavalheiro, Raquel Schmitt Araujo, Victor Almeida de [UNESP] Cortez-Barbosa, Juliana [UNESP] Campos, Cristiane Inácio de [UNESP] Molina, Júlio César [UNESP] Silva, Diogo Aparecido Lopes Lahr, Francisco Antonio Rocco Christoforo, André Luis |
author2_role |
author author author author author author author author |
dc.contributor.none.fl_str_mv |
Universidade Federal de São Carlos (UFSCar) Universidade de São Paulo (USP) Universidade Estadual Paulista (UNESP) |
dc.contributor.author.fl_str_mv |
Marini, Lucas José Cavalheiro, Raquel Schmitt Araujo, Victor Almeida de [UNESP] Cortez-Barbosa, Juliana [UNESP] Campos, Cristiane Inácio de [UNESP] Molina, Júlio César [UNESP] Silva, Diogo Aparecido Lopes Lahr, Francisco Antonio Rocco Christoforo, André Luis |
dc.subject.por.fl_str_mv |
Bulk density Eucalyptus Mechanical properties Regression model Wood anatomy |
topic |
Bulk density Eucalyptus Mechanical properties Regression model Wood anatomy |
description |
There is a perceptible opportunity to utilize eucalypts in value-added wooden products with structural features for construction. But, tests to determine the wood properties require specific equipment and technical training. As alternative, the study utilized optical microscopy to measure some anatomical elements of 10 eucalypt varieties to estimate their mechanical properties in line with anatomical parameters and bulk densities using regression models. Eight anatomical properties about constituent sizes and six mechanical properties about compression behaviors were evaluated. Regression models were positively conclusive, as R2 values were 94.15, 92.95 and 77.77 for the modulus of elasticity in compression parallel, compression parallel strength and shear stress parallel to the grain, respectively. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-10-17 2023-03-01T20:31:29Z 2023-03-01T20:31:29Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.1016/j.conbuildmat.2022.128824 Construction and Building Materials, v. 352. 0950-0618 http://hdl.handle.net/11449/240755 10.1016/j.conbuildmat.2022.128824 2-s2.0-85137158497 |
url |
http://dx.doi.org/10.1016/j.conbuildmat.2022.128824 http://hdl.handle.net/11449/240755 |
identifier_str_mv |
Construction and Building Materials, v. 352. 0950-0618 10.1016/j.conbuildmat.2022.128824 2-s2.0-85137158497 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Construction and Building Materials |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1808129591693279232 |