Prediction of global bending stiffness of timber beams by local sampling data and visual inspection
Autor(a) principal: | |
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Data de Publicação: | 2014 |
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/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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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 |
repository.mail.fl_str_mv |
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1799132497316937728 |