Models to Estimate Longitudinal Compressive Strength of Brazilian Hardwood Based on Apparent Density

Detalhes bibliográficos
Autor(a) principal: Rocco Lahr, Francisco Antonio
Data de Publicação: 2021
Outros Autores: Arroyo, Felipe Nascimento, Castanheira Rodrigues, Edson Fernando, Boff Almeida, Joao Paulo, Moura Aquino, Vinicius Borges de, Vobornik Wolenski, Anderson Renato, Santos, Herisson Ferreira dos, Nonato Ferraz, Andre Luiz, Chahud, Eduardo, Molina, Julio Cesar [UNESP], Pinheiro, Roberto Vasconcelos, Christoforo, Andre Luis
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.15376/biores.16.1.1373-1381
http://hdl.handle.net/11449/210170
Resumo: As wood is an orthotropic and natural material, there are several properties required for its use in civil construction. The apparent density has been used to estimate physical and mechanical properties of wood, as it is easy to determine experimentally, unlike other determinations, which involve the use of equipment available only in large research centers. Using the Brazilian standard ABNT NBR 7190 and linear and non-linear regression models, this research aimed to evaluate their accuracy in estimating the compressive strength parallel to the fibers (f(c0)) as well as their characteristic value (f(c0,k)). This study considered 72 tropical wood species from native forests that were divided into the 4 strength classes of this standard. For the set formed by all species, the linear polynomial model was the best fit, resulting in a determination coefficient of just over 70%.
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spelling Models to Estimate Longitudinal Compressive Strength of Brazilian Hardwood Based on Apparent DensityHardwoodsLongitudinal compressive strengthApparent densityRegression modelsAs wood is an orthotropic and natural material, there are several properties required for its use in civil construction. The apparent density has been used to estimate physical and mechanical properties of wood, as it is easy to determine experimentally, unlike other determinations, which involve the use of equipment available only in large research centers. Using the Brazilian standard ABNT NBR 7190 and linear and non-linear regression models, this research aimed to evaluate their accuracy in estimating the compressive strength parallel to the fibers (f(c0)) as well as their characteristic value (f(c0,k)). This study considered 72 tropical wood species from native forests that were divided into the 4 strength classes of this standard. For the set formed by all species, the linear polynomial model was the best fit, resulting in a determination coefficient of just over 70%.Univ Sao Paulo, Dept Struct Engn, Sao Carlos, BrazilUniv Fed Sao Carlos, Dept Civil Engn, Sao Carlos, BrazilFed Univ South & Southeast Para, Dept Civil Engn, Santana Do Araguaia, BrazilFed Inst Santa Catarina, Sao Carlos, BrazilFed Inst Sci & Technol Rondonia, Ariquemes, BrazilUniv Estado Mato Grosso, Dept Civil Engn, Sinop, BrazilFed Univ Minas Gerais Belo Horizonte, Dept Civil Engn, Belo Horizonte, MG, BrazilUniv Estadual Paulista, Dept Ind Wood Engn, Itapeva, BrazilUniv Estadual Paulista, Dept Ind Wood Engn, Itapeva, BrazilNorth Carolina State Univ Dept Wood & Paper SciUniversidade de São Paulo (USP)Universidade Federal de São Carlos (UFSCar)Fed Univ South & Southeast ParaFed Inst Santa CatarinaUniversidade Estadual de Maringá (UEM)Univ Estado Mato GrossoFed Univ Minas Gerais Belo HorizonteUniversidade Estadual Paulista (Unesp)Rocco Lahr, Francisco AntonioArroyo, Felipe NascimentoCastanheira Rodrigues, Edson FernandoBoff Almeida, Joao PauloMoura Aquino, Vinicius Borges deVobornik Wolenski, Anderson RenatoSantos, Herisson Ferreira dosNonato Ferraz, Andre LuizChahud, EduardoMolina, Julio Cesar [UNESP]Pinheiro, Roberto VasconcelosChristoforo, Andre Luis2021-06-25T12:41:49Z2021-06-25T12:41:49Z2021-02-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article1373-1381http://dx.doi.org/10.15376/biores.16.1.1373-1381Bioresources. Raleigh: North Carolina State Univ Dept Wood & Paper Sci, v. 16, n. 1, p. 1373-1381, 2021.1930-2126http://hdl.handle.net/11449/21017010.15376/biores.16.1.1373-1381WOS:000634696900025Web of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengBioresourcesinfo:eu-repo/semantics/openAccess2021-10-23T20:11:19Zoai:repositorio.unesp.br:11449/210170Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T14:34:45.217328Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Models to Estimate Longitudinal Compressive Strength of Brazilian Hardwood Based on Apparent Density
title Models to Estimate Longitudinal Compressive Strength of Brazilian Hardwood Based on Apparent Density
spellingShingle Models to Estimate Longitudinal Compressive Strength of Brazilian Hardwood Based on Apparent Density
Rocco Lahr, Francisco Antonio
Hardwoods
Longitudinal compressive strength
Apparent density
Regression models
title_short Models to Estimate Longitudinal Compressive Strength of Brazilian Hardwood Based on Apparent Density
title_full Models to Estimate Longitudinal Compressive Strength of Brazilian Hardwood Based on Apparent Density
title_fullStr Models to Estimate Longitudinal Compressive Strength of Brazilian Hardwood Based on Apparent Density
title_full_unstemmed Models to Estimate Longitudinal Compressive Strength of Brazilian Hardwood Based on Apparent Density
title_sort Models to Estimate Longitudinal Compressive Strength of Brazilian Hardwood Based on Apparent Density
author Rocco Lahr, Francisco Antonio
author_facet Rocco Lahr, Francisco Antonio
Arroyo, Felipe Nascimento
Castanheira Rodrigues, Edson Fernando
Boff Almeida, Joao Paulo
Moura Aquino, Vinicius Borges de
Vobornik Wolenski, Anderson Renato
Santos, Herisson Ferreira dos
Nonato Ferraz, Andre Luiz
Chahud, Eduardo
Molina, Julio Cesar [UNESP]
Pinheiro, Roberto Vasconcelos
Christoforo, Andre Luis
author_role author
author2 Arroyo, Felipe Nascimento
Castanheira Rodrigues, Edson Fernando
Boff Almeida, Joao Paulo
Moura Aquino, Vinicius Borges de
Vobornik Wolenski, Anderson Renato
Santos, Herisson Ferreira dos
Nonato Ferraz, Andre Luiz
Chahud, Eduardo
Molina, Julio Cesar [UNESP]
Pinheiro, Roberto Vasconcelos
Christoforo, Andre Luis
author2_role author
author
author
author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Universidade de São Paulo (USP)
Universidade Federal de São Carlos (UFSCar)
Fed Univ South & Southeast Para
Fed Inst Santa Catarina
Universidade Estadual de Maringá (UEM)
Univ Estado Mato Grosso
Fed Univ Minas Gerais Belo Horizonte
Universidade Estadual Paulista (Unesp)
dc.contributor.author.fl_str_mv Rocco Lahr, Francisco Antonio
Arroyo, Felipe Nascimento
Castanheira Rodrigues, Edson Fernando
Boff Almeida, Joao Paulo
Moura Aquino, Vinicius Borges de
Vobornik Wolenski, Anderson Renato
Santos, Herisson Ferreira dos
Nonato Ferraz, Andre Luiz
Chahud, Eduardo
Molina, Julio Cesar [UNESP]
Pinheiro, Roberto Vasconcelos
Christoforo, Andre Luis
dc.subject.por.fl_str_mv Hardwoods
Longitudinal compressive strength
Apparent density
Regression models
topic Hardwoods
Longitudinal compressive strength
Apparent density
Regression models
description As wood is an orthotropic and natural material, there are several properties required for its use in civil construction. The apparent density has been used to estimate physical and mechanical properties of wood, as it is easy to determine experimentally, unlike other determinations, which involve the use of equipment available only in large research centers. Using the Brazilian standard ABNT NBR 7190 and linear and non-linear regression models, this research aimed to evaluate their accuracy in estimating the compressive strength parallel to the fibers (f(c0)) as well as their characteristic value (f(c0,k)). This study considered 72 tropical wood species from native forests that were divided into the 4 strength classes of this standard. For the set formed by all species, the linear polynomial model was the best fit, resulting in a determination coefficient of just over 70%.
publishDate 2021
dc.date.none.fl_str_mv 2021-06-25T12:41:49Z
2021-06-25T12:41:49Z
2021-02-01
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/10.15376/biores.16.1.1373-1381
Bioresources. Raleigh: North Carolina State Univ Dept Wood & Paper Sci, v. 16, n. 1, p. 1373-1381, 2021.
1930-2126
http://hdl.handle.net/11449/210170
10.15376/biores.16.1.1373-1381
WOS:000634696900025
url http://dx.doi.org/10.15376/biores.16.1.1373-1381
http://hdl.handle.net/11449/210170
identifier_str_mv Bioresources. Raleigh: North Carolina State Univ Dept Wood & Paper Sci, v. 16, n. 1, p. 1373-1381, 2021.
1930-2126
10.15376/biores.16.1.1373-1381
WOS:000634696900025
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Bioresources
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 1373-1381
dc.publisher.none.fl_str_mv North Carolina State Univ Dept Wood & Paper Sci
publisher.none.fl_str_mv North Carolina State Univ Dept Wood & Paper Sci
dc.source.none.fl_str_mv Web of Science
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
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