ESTIMATION OF THE CHARACTERISTIC VALUE OF WOOD STRENGTH

Bibliographic Details
Main Author: Christoforo,André L.
Publication Date: 2019
Other Authors: Almeida,Andrea de S., Lanini,Tamiris L. S., Nogueira,Rodrigo de S., Lahr,Francisco A. R.
Format: Article
Language: eng
Source: Engenharia Agrícola
Download full: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162019000100127
Summary: ABSTRACT For safety reasons, wood strength values, essential for structural dimensioning, are calculated based on the characteristic value, which corresponds to the 5% percentile of a given probability distribution model. For small samples, the Brazilian normative document ABNT NBR 7190 establishes an estimator of the characteristic wood strength, which can provide a significantly different result from the characteristic value coming from a suitable model of probability distribution. The main objective of this study was to evaluate the best probability distribution model (normal, lognormal, Weibull, and exponential) and the subsequent calculation of the characteristic value indicated by ABNT NBR 7190 (1997), allowing to evaluate its accuracy, being also investigated two relationships between characteristic values of the simplified characterization condition for woods of species already known. The best adhesion model was the normal model, which resulted in values statistically equivalent to the characteristic values according to ABNT NBR 7190 (1997). Among the evaluated relationships, the obtained results were significantly higher (up to 92%) when compared to those estimated by ABNT NBR 7190 (1997).
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spelling ESTIMATION OF THE CHARACTERISTIC VALUE OF WOOD STRENGTHwoodcompressiontractionshearprobability distributioncharacteristic valueABSTRACT For safety reasons, wood strength values, essential for structural dimensioning, are calculated based on the characteristic value, which corresponds to the 5% percentile of a given probability distribution model. For small samples, the Brazilian normative document ABNT NBR 7190 establishes an estimator of the characteristic wood strength, which can provide a significantly different result from the characteristic value coming from a suitable model of probability distribution. The main objective of this study was to evaluate the best probability distribution model (normal, lognormal, Weibull, and exponential) and the subsequent calculation of the characteristic value indicated by ABNT NBR 7190 (1997), allowing to evaluate its accuracy, being also investigated two relationships between characteristic values of the simplified characterization condition for woods of species already known. The best adhesion model was the normal model, which resulted in values statistically equivalent to the characteristic values according to ABNT NBR 7190 (1997). Among the evaluated relationships, the obtained results were significantly higher (up to 92%) when compared to those estimated by ABNT NBR 7190 (1997).Associação Brasileira de Engenharia Agrícola2019-02-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162019000100127Engenharia Agrícola v.39 n.1 2019reponame:Engenharia Agrícolainstname:Associação Brasileira de Engenharia Agrícola (SBEA)instacron:SBEA10.1590/1809-4430-eng.agric.v39n1p127-132/2019info:eu-repo/semantics/openAccessChristoforo,André L.Almeida,Andrea de S.Lanini,Tamiris L. S.Nogueira,Rodrigo de S.Lahr,Francisco A. R.eng2019-02-26T00:00:00Zoai:scielo:S0100-69162019000100127Revistahttp://www.engenhariaagricola.org.br/ORGhttps://old.scielo.br/oai/scielo-oai.phprevistasbea@sbea.org.br||sbea@sbea.org.br1809-44300100-6916opendoar:2019-02-26T00:00Engenharia Agrícola - Associação Brasileira de Engenharia Agrícola (SBEA)false
dc.title.none.fl_str_mv ESTIMATION OF THE CHARACTERISTIC VALUE OF WOOD STRENGTH
title ESTIMATION OF THE CHARACTERISTIC VALUE OF WOOD STRENGTH
spellingShingle ESTIMATION OF THE CHARACTERISTIC VALUE OF WOOD STRENGTH
Christoforo,André L.
wood
compression
traction
shear
probability distribution
characteristic value
title_short ESTIMATION OF THE CHARACTERISTIC VALUE OF WOOD STRENGTH
title_full ESTIMATION OF THE CHARACTERISTIC VALUE OF WOOD STRENGTH
title_fullStr ESTIMATION OF THE CHARACTERISTIC VALUE OF WOOD STRENGTH
title_full_unstemmed ESTIMATION OF THE CHARACTERISTIC VALUE OF WOOD STRENGTH
title_sort ESTIMATION OF THE CHARACTERISTIC VALUE OF WOOD STRENGTH
author Christoforo,André L.
author_facet Christoforo,André L.
Almeida,Andrea de S.
Lanini,Tamiris L. S.
Nogueira,Rodrigo de S.
Lahr,Francisco A. R.
author_role author
author2 Almeida,Andrea de S.
Lanini,Tamiris L. S.
Nogueira,Rodrigo de S.
Lahr,Francisco A. R.
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Christoforo,André L.
Almeida,Andrea de S.
Lanini,Tamiris L. S.
Nogueira,Rodrigo de S.
Lahr,Francisco A. R.
dc.subject.por.fl_str_mv wood
compression
traction
shear
probability distribution
characteristic value
topic wood
compression
traction
shear
probability distribution
characteristic value
description ABSTRACT For safety reasons, wood strength values, essential for structural dimensioning, are calculated based on the characteristic value, which corresponds to the 5% percentile of a given probability distribution model. For small samples, the Brazilian normative document ABNT NBR 7190 establishes an estimator of the characteristic wood strength, which can provide a significantly different result from the characteristic value coming from a suitable model of probability distribution. The main objective of this study was to evaluate the best probability distribution model (normal, lognormal, Weibull, and exponential) and the subsequent calculation of the characteristic value indicated by ABNT NBR 7190 (1997), allowing to evaluate its accuracy, being also investigated two relationships between characteristic values of the simplified characterization condition for woods of species already known. The best adhesion model was the normal model, which resulted in values statistically equivalent to the characteristic values according to ABNT NBR 7190 (1997). Among the evaluated relationships, the obtained results were significantly higher (up to 92%) when compared to those estimated by ABNT NBR 7190 (1997).
publishDate 2019
dc.date.none.fl_str_mv 2019-02-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162019000100127
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162019000100127
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/1809-4430-eng.agric.v39n1p127-132/2019
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Associação Brasileira de Engenharia Agrícola
publisher.none.fl_str_mv Associação Brasileira de Engenharia Agrícola
dc.source.none.fl_str_mv Engenharia Agrícola v.39 n.1 2019
reponame:Engenharia Agrícola
instname:Associação Brasileira de Engenharia Agrícola (SBEA)
instacron:SBEA
instname_str Associação Brasileira de Engenharia Agrícola (SBEA)
instacron_str SBEA
institution SBEA
reponame_str Engenharia Agrícola
collection Engenharia Agrícola
repository.name.fl_str_mv Engenharia Agrícola - Associação Brasileira de Engenharia Agrícola (SBEA)
repository.mail.fl_str_mv revistasbea@sbea.org.br||sbea@sbea.org.br
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