ALTERNATIVE MODEL TO DETERMINE THE CHARACTERISTIC STRENGTH VALUE OF WOOD IN THE COMPRESSION PARALLEL TO THE GRAIN

Detalhes bibliográficos
Autor(a) principal: Christoforo, Andre Luis
Data de Publicação: 2020
Outros Autores: Moura Aquino, Vinicius Borges de, Govone, Jose Silvio [UNESP], Pereira Geraldes Dias, Alfredo Manuel, Panzera, Tulio Hallak, Rocco Lahr, Francisco Antonio
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.4067/S0718-221X2020005000303
http://hdl.handle.net/11449/197036
Resumo: Wood strength values are calculated based on the characteristic value, which corresponds to the 5 % percentile of a given probability distribution model. For a few number of samples (12 samples), the Brazilian standard establishes an estimator of the characteristic compressive strength parallel to grain of the wood, which may provide a different result when compared with the characteristic value coming from a suitable probability distribution model. Considering the strength results in the parallel compression to the grain of 45 wood species of the hardwood group, Normal, LogNormal, Weibull and Exponential probability distribution models were used for each specie with the purpose of determining the one with the highest adhesion. Calculated the characteristic values by the best probability model distribution, an analysis of variance (ANOVA) was performed in the estimation of the characteristic value of compressive strength, making it possible to identify the most significant terms of the models as well as the quality of the adjustment obtained on such models. The proposed regression model (R-2 adj= 96,56 %) proved to be equivalent to the empirical model of the Brazilian standard. The model proposed here only depends on the mean and the lowest value obtained from the compressive strength in the parallel direction to the grain.
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spelling ALTERNATIVE MODEL TO DETERMINE THE CHARACTERISTIC STRENGTH VALUE OF WOOD IN THE COMPRESSION PARALLEL TO THE GRAINCharacteristic valuemechanical propertiesprobability distributionTabebitia spp.woodWood strength values are calculated based on the characteristic value, which corresponds to the 5 % percentile of a given probability distribution model. For a few number of samples (12 samples), the Brazilian standard establishes an estimator of the characteristic compressive strength parallel to grain of the wood, which may provide a different result when compared with the characteristic value coming from a suitable probability distribution model. Considering the strength results in the parallel compression to the grain of 45 wood species of the hardwood group, Normal, LogNormal, Weibull and Exponential probability distribution models were used for each specie with the purpose of determining the one with the highest adhesion. Calculated the characteristic values by the best probability model distribution, an analysis of variance (ANOVA) was performed in the estimation of the characteristic value of compressive strength, making it possible to identify the most significant terms of the models as well as the quality of the adjustment obtained on such models. The proposed regression model (R-2 adj= 96,56 %) proved to be equivalent to the empirical model of the Brazilian standard. The model proposed here only depends on the mean and the lowest value obtained from the compressive strength in the parallel direction to the grain.Univ Fed Sao Carlos, Dept Civil Engn, Sao Carlos, SP, BrazilFed Univ Southern & Southeastern Para, Araguaia Engn Inst, Santana Do Araguaia, Para, BrazilState Univ Sao Paulo, Ctr Enviromental Studies, Dept Stat Appl Math & Computat, Rio Claro, SP, BrazilUniv Coimbra, Dept Civil Engn, Coimbra, PortugalFed Univ Sao Joao del Rey, Dept Mech Engn, Sao Joao Del Rei, MG, BrazilUniv Sao Paulo, Dept Struct Engn, Sao Carlos, SP, BrazilState Univ Sao Paulo, Ctr Enviromental Studies, Dept Stat Appl Math & Computat, Rio Claro, SP, BrazilUniv Bio-bioUniversidade Federal de São Carlos (UFSCar)Fed Univ Southern & Southeastern ParaUniversidade Estadual Paulista (Unesp)Univ CoimbraFed Univ Sao Joao del ReyUniversidade de São Paulo (USP)Christoforo, Andre LuisMoura Aquino, Vinicius Borges deGovone, Jose Silvio [UNESP]Pereira Geraldes Dias, Alfredo ManuelPanzera, Tulio HallakRocco Lahr, Francisco Antonio2020-12-10T20:04:08Z2020-12-10T20:04:08Z2020-07-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article281-290http://dx.doi.org/10.4067/S0718-221X2020005000303Maderas-ciencia Y Tecnologia. Concepcion: Univ Bio-bio, v. 22, n. 3, p. 281-290, 2020.0718-221Xhttp://hdl.handle.net/11449/19703610.4067/S0718-221X2020005000303WOS:000545887700003Web of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengMaderas-ciencia Y Tecnologiainfo:eu-repo/semantics/openAccess2021-10-23T10:18:36Zoai:repositorio.unesp.br:11449/197036Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T16:23:56.307629Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv ALTERNATIVE MODEL TO DETERMINE THE CHARACTERISTIC STRENGTH VALUE OF WOOD IN THE COMPRESSION PARALLEL TO THE GRAIN
title ALTERNATIVE MODEL TO DETERMINE THE CHARACTERISTIC STRENGTH VALUE OF WOOD IN THE COMPRESSION PARALLEL TO THE GRAIN
spellingShingle ALTERNATIVE MODEL TO DETERMINE THE CHARACTERISTIC STRENGTH VALUE OF WOOD IN THE COMPRESSION PARALLEL TO THE GRAIN
Christoforo, Andre Luis
Characteristic value
mechanical properties
probability distribution
Tabebitia spp.
wood
title_short ALTERNATIVE MODEL TO DETERMINE THE CHARACTERISTIC STRENGTH VALUE OF WOOD IN THE COMPRESSION PARALLEL TO THE GRAIN
title_full ALTERNATIVE MODEL TO DETERMINE THE CHARACTERISTIC STRENGTH VALUE OF WOOD IN THE COMPRESSION PARALLEL TO THE GRAIN
title_fullStr ALTERNATIVE MODEL TO DETERMINE THE CHARACTERISTIC STRENGTH VALUE OF WOOD IN THE COMPRESSION PARALLEL TO THE GRAIN
title_full_unstemmed ALTERNATIVE MODEL TO DETERMINE THE CHARACTERISTIC STRENGTH VALUE OF WOOD IN THE COMPRESSION PARALLEL TO THE GRAIN
title_sort ALTERNATIVE MODEL TO DETERMINE THE CHARACTERISTIC STRENGTH VALUE OF WOOD IN THE COMPRESSION PARALLEL TO THE GRAIN
author Christoforo, Andre Luis
author_facet Christoforo, Andre Luis
Moura Aquino, Vinicius Borges de
Govone, Jose Silvio [UNESP]
Pereira Geraldes Dias, Alfredo Manuel
Panzera, Tulio Hallak
Rocco Lahr, Francisco Antonio
author_role author
author2 Moura Aquino, Vinicius Borges de
Govone, Jose Silvio [UNESP]
Pereira Geraldes Dias, Alfredo Manuel
Panzera, Tulio Hallak
Rocco Lahr, Francisco Antonio
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv Universidade Federal de São Carlos (UFSCar)
Fed Univ Southern & Southeastern Para
Universidade Estadual Paulista (Unesp)
Univ Coimbra
Fed Univ Sao Joao del Rey
Universidade de São Paulo (USP)
dc.contributor.author.fl_str_mv Christoforo, Andre Luis
Moura Aquino, Vinicius Borges de
Govone, Jose Silvio [UNESP]
Pereira Geraldes Dias, Alfredo Manuel
Panzera, Tulio Hallak
Rocco Lahr, Francisco Antonio
dc.subject.por.fl_str_mv Characteristic value
mechanical properties
probability distribution
Tabebitia spp.
wood
topic Characteristic value
mechanical properties
probability distribution
Tabebitia spp.
wood
description Wood strength values are calculated based on the characteristic value, which corresponds to the 5 % percentile of a given probability distribution model. For a few number of samples (12 samples), the Brazilian standard establishes an estimator of the characteristic compressive strength parallel to grain of the wood, which may provide a different result when compared with the characteristic value coming from a suitable probability distribution model. Considering the strength results in the parallel compression to the grain of 45 wood species of the hardwood group, Normal, LogNormal, Weibull and Exponential probability distribution models were used for each specie with the purpose of determining the one with the highest adhesion. Calculated the characteristic values by the best probability model distribution, an analysis of variance (ANOVA) was performed in the estimation of the characteristic value of compressive strength, making it possible to identify the most significant terms of the models as well as the quality of the adjustment obtained on such models. The proposed regression model (R-2 adj= 96,56 %) proved to be equivalent to the empirical model of the Brazilian standard. The model proposed here only depends on the mean and the lowest value obtained from the compressive strength in the parallel direction to the grain.
publishDate 2020
dc.date.none.fl_str_mv 2020-12-10T20:04:08Z
2020-12-10T20:04:08Z
2020-07-01
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/10.4067/S0718-221X2020005000303
Maderas-ciencia Y Tecnologia. Concepcion: Univ Bio-bio, v. 22, n. 3, p. 281-290, 2020.
0718-221X
http://hdl.handle.net/11449/197036
10.4067/S0718-221X2020005000303
WOS:000545887700003
url http://dx.doi.org/10.4067/S0718-221X2020005000303
http://hdl.handle.net/11449/197036
identifier_str_mv Maderas-ciencia Y Tecnologia. Concepcion: Univ Bio-bio, v. 22, n. 3, p. 281-290, 2020.
0718-221X
10.4067/S0718-221X2020005000303
WOS:000545887700003
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Maderas-ciencia Y Tecnologia
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 281-290
dc.publisher.none.fl_str_mv Univ Bio-bio
publisher.none.fl_str_mv Univ Bio-bio
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
_version_ 1808128642994143232