Models to Estimate Longitudinal Compressive Strength of Brazilian Hardwood Based on Apparent Density
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , , , , , , , , , |
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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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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1808128380849094656 |