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 Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10316/106341 https://doi.org/10.4067/S0718-221X2020005000303 |
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 (R2 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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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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7160 |
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Alternative model to determine the characteristic strength value of wood in the compression parallel to the grainCharacteristic valuemechanical propertiesprobability distributionTabebuia 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 (R2 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.Universidad del Bio-Bio2020info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10316/106341http://hdl.handle.net/10316/106341https://doi.org/10.4067/S0718-221X2020005000303eng0718-221XChristoforo, André LuisAquino, Vinicius Borges de MouraGovone, José SilvioDias, Alfredo Manuel Pereira GeraldesPanzera, Tulio HallakLahr, Francisco Antonio Roccoinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-03-30T20:35:09Zoai:estudogeral.uc.pt:10316/106341Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T21:22:48.767671Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
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, André Luis Characteristic value mechanical properties probability distribution Tabebuia 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, André Luis |
author_facet |
Christoforo, André Luis Aquino, Vinicius Borges de Moura Govone, José Silvio Dias, Alfredo Manuel Pereira Geraldes Panzera, Tulio Hallak Lahr, Francisco Antonio Rocco |
author_role |
author |
author2 |
Aquino, Vinicius Borges de Moura Govone, José Silvio Dias, Alfredo Manuel Pereira Geraldes Panzera, Tulio Hallak Lahr, Francisco Antonio Rocco |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
Christoforo, André Luis Aquino, Vinicius Borges de Moura Govone, José Silvio Dias, Alfredo Manuel Pereira Geraldes Panzera, Tulio Hallak Lahr, Francisco Antonio Rocco |
dc.subject.por.fl_str_mv |
Characteristic value mechanical properties probability distribution Tabebuia spp. wood |
topic |
Characteristic value mechanical properties probability distribution Tabebuia 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 (R2 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 |
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://hdl.handle.net/10316/106341 http://hdl.handle.net/10316/106341 https://doi.org/10.4067/S0718-221X2020005000303 |
url |
http://hdl.handle.net/10316/106341 https://doi.org/10.4067/S0718-221X2020005000303 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
0718-221X |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.publisher.none.fl_str_mv |
Universidad del Bio-Bio |
publisher.none.fl_str_mv |
Universidad del Bio-Bio |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
|
_version_ |
1799134116401119232 |