ALTERNATIVE MODEL TO DETERMINE THE CHARACTERISTIC STRENGTH VALUE OF WOOD IN THE COMPRESSION PARALLEL TO THE GRAIN
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , , , , |
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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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 |