Prediction of global bending stiffness of timber beams by local sampling data and visual inspection

Detalhes bibliográficos
Autor(a) principal: Sousa, Hélder S.
Data de Publicação: 2014
Outros Autores: Branco, Jorge M., Lourenço, Paulo B.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/1822/32841
Resumo: The results of visual inspection according to UNI 11119:2004 and bending tests made on 20 old chestnut (Castanea sativa Mill.) beams according to EN 408:2010 were statistically analyzed in order to provide a consistent and feasible procedure to predict their modulus of elasticity (MOE) in bending. Local data obtained from smaller size specimens was used for the prediction of the global mechanical properties of full structural size members and compared with the results of mechanical tests. The prediction models took into account the visual strength classes and the influence of defects on the determination of the MOE. Moreover, random sampling was considered in order to demonstrate the possibility of using smaller representative samples, thus avoiding excessive need of removal of on-site samples and allowing for a smaller number of mechanical tests. The models using random sampling predicted the behavior of full size scale elements accurately, with strong correlations to the experimental results (coefficient of determination r2 ranging from 0.70 to 0.79) and a percentage error lower than 20 %, thus allowing a reliable estimation of mechanical characteristics of existing timber members with a combination of visual inspection and local sampling.
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spelling Prediction of global bending stiffness of timber beams by local sampling data and visual inspectionchestnut beamsmodulus of elasticity in bendingsample extractionpredicting modelsrandom sampling selectionEngenharia e Tecnologia::Engenharia CivilScience & TechnologyThe results of visual inspection according to UNI 11119:2004 and bending tests made on 20 old chestnut (Castanea sativa Mill.) beams according to EN 408:2010 were statistically analyzed in order to provide a consistent and feasible procedure to predict their modulus of elasticity (MOE) in bending. Local data obtained from smaller size specimens was used for the prediction of the global mechanical properties of full structural size members and compared with the results of mechanical tests. The prediction models took into account the visual strength classes and the influence of defects on the determination of the MOE. Moreover, random sampling was considered in order to demonstrate the possibility of using smaller representative samples, thus avoiding excessive need of removal of on-site samples and allowing for a smaller number of mechanical tests. The models using random sampling predicted the behavior of full size scale elements accurately, with strong correlations to the experimental results (coefficient of determination r2 ranging from 0.70 to 0.79) and a percentage error lower than 20 %, thus allowing a reliable estimation of mechanical characteristics of existing timber members with a combination of visual inspection and local sampling.Fundação para a Ciência e a Tecnologia (FCT)Springer VerlagUniversidade do MinhoSousa, Hélder S.Branco, Jorge M.Lourenço, Paulo B.20142014-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/1822/32841engSousa H.S., Branco, J. M., Lourenço, P. B. (2014) Prediction of global bending stiffness of timber beams by local sampling data and visual inspection, European Journal of Wood and Wood Products 72(4). pp 453-461. (doi.org/10.1007/s00107-014-0800-1)0018-376810.1007/s00107-014-0800-1The final publication is available at link.springer.com: http://link.springer.com/article/10.1007%2Fs00107-014-0800-1info: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:RCAAP2023-07-21T12:15:22Zoai:repositorium.sdum.uminho.pt:1822/32841Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T19:07:47.138746Repositório 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 Prediction of global bending stiffness of timber beams by local sampling data and visual inspection
title Prediction of global bending stiffness of timber beams by local sampling data and visual inspection
spellingShingle Prediction of global bending stiffness of timber beams by local sampling data and visual inspection
Sousa, Hélder S.
chestnut beams
modulus of elasticity in bending
sample extraction
predicting models
random sampling selection
Engenharia e Tecnologia::Engenharia Civil
Science & Technology
title_short Prediction of global bending stiffness of timber beams by local sampling data and visual inspection
title_full Prediction of global bending stiffness of timber beams by local sampling data and visual inspection
title_fullStr Prediction of global bending stiffness of timber beams by local sampling data and visual inspection
title_full_unstemmed Prediction of global bending stiffness of timber beams by local sampling data and visual inspection
title_sort Prediction of global bending stiffness of timber beams by local sampling data and visual inspection
author Sousa, Hélder S.
author_facet Sousa, Hélder S.
Branco, Jorge M.
Lourenço, Paulo B.
author_role author
author2 Branco, Jorge M.
Lourenço, Paulo B.
author2_role author
author
dc.contributor.none.fl_str_mv Universidade do Minho
dc.contributor.author.fl_str_mv Sousa, Hélder S.
Branco, Jorge M.
Lourenço, Paulo B.
dc.subject.por.fl_str_mv chestnut beams
modulus of elasticity in bending
sample extraction
predicting models
random sampling selection
Engenharia e Tecnologia::Engenharia Civil
Science & Technology
topic chestnut beams
modulus of elasticity in bending
sample extraction
predicting models
random sampling selection
Engenharia e Tecnologia::Engenharia Civil
Science & Technology
description The results of visual inspection according to UNI 11119:2004 and bending tests made on 20 old chestnut (Castanea sativa Mill.) beams according to EN 408:2010 were statistically analyzed in order to provide a consistent and feasible procedure to predict their modulus of elasticity (MOE) in bending. Local data obtained from smaller size specimens was used for the prediction of the global mechanical properties of full structural size members and compared with the results of mechanical tests. The prediction models took into account the visual strength classes and the influence of defects on the determination of the MOE. Moreover, random sampling was considered in order to demonstrate the possibility of using smaller representative samples, thus avoiding excessive need of removal of on-site samples and allowing for a smaller number of mechanical tests. The models using random sampling predicted the behavior of full size scale elements accurately, with strong correlations to the experimental results (coefficient of determination r2 ranging from 0.70 to 0.79) and a percentage error lower than 20 %, thus allowing a reliable estimation of mechanical characteristics of existing timber members with a combination of visual inspection and local sampling.
publishDate 2014
dc.date.none.fl_str_mv 2014
2014-01-01T00:00:00Z
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/1822/32841
url http://hdl.handle.net/1822/32841
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Sousa H.S., Branco, J. M., Lourenço, P. B. (2014) Prediction of global bending stiffness of timber beams by local sampling data and visual inspection, European Journal of Wood and Wood Products 72(4). pp 453-461. (doi.org/10.1007/s00107-014-0800-1)
0018-3768
10.1007/s00107-014-0800-1
The final publication is available at link.springer.com: http://link.springer.com/article/10.1007%2Fs00107-014-0800-1
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Springer Verlag
publisher.none.fl_str_mv Springer Verlag
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
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