Onsite assessment of structural timber members by means of hierarchical models and probabilistic methods

Detalhes bibliográficos
Autor(a) principal: Sousa, Hélder S.
Data de Publicação: 2015
Outros Autores: Machado, José S., 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/1822/38279
Resumo: One of the main motivations for hierarchical modelling is to understand how properties, composition and structure at lower scale levels may influence and be used to predict the material properties at macroscopic and structural engineering scales. Structural timber is, in most cases, characterized by three parameters usually designated as reference properties: density, bending modulus of elasticity and bending strength. The present paper addresses a review on different possibilities for obtaining reliable data about the mechanical behaviour of timber elements by collecting information at different levels and by organizing that information into a hierarchy of sequential levels (from lowest to highest). The applicability and limitations of statistic and probabilistic methods on the prediction and inference of timber’s reference material properties are discussed and exemplified.
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spelling Onsite assessment of structural timber members by means of hierarchical models and probabilistic methodsBayesian methodshierarchical modellingtimber reference propertiesupdatingHierarchical modelingEngenharia e Tecnologia::Engenharia CivilScience & TechnologyOne of the main motivations for hierarchical modelling is to understand how properties, composition and structure at lower scale levels may influence and be used to predict the material properties at macroscopic and structural engineering scales. Structural timber is, in most cases, characterized by three parameters usually designated as reference properties: density, bending modulus of elasticity and bending strength. The present paper addresses a review on different possibilities for obtaining reliable data about the mechanical behaviour of timber elements by collecting information at different levels and by organizing that information into a hierarchy of sequential levels (from lowest to highest). The applicability and limitations of statistic and probabilistic methods on the prediction and inference of timber’s reference material properties are discussed and exemplified.ElsevierUniversidade do MinhoSousa, Hélder S.Machado, José S.Branco, Jorge M.Lourenço, Paulo B.2015-06-102015-06-10T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/1822/38279eng70. Sousa, H. S., Machado, J. S., Branco, J. M., & Lourenço, P. B. (2015). Onsite assessment of structural timber members by means of hierarchical models and probabilistic methods. Construction and Building Materials. doi: 10.1016/j.conbuildmat.2015.05.1270950-061810.1016/j.conbuildmat.2015.05.127The original publication is available at: http://www.sciencedirect.com/science/article/pii/S0950061815006698info: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:RCAAP2023-07-21T12:13:03Zoai:repositorium.sdum.uminho.pt:1822/38279Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T19:05:05.254752Repositório 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 Onsite assessment of structural timber members by means of hierarchical models and probabilistic methods
title Onsite assessment of structural timber members by means of hierarchical models and probabilistic methods
spellingShingle Onsite assessment of structural timber members by means of hierarchical models and probabilistic methods
Sousa, Hélder S.
Bayesian methods
hierarchical modelling
timber reference properties
updating
Hierarchical modeling
Engenharia e Tecnologia::Engenharia Civil
Science & Technology
title_short Onsite assessment of structural timber members by means of hierarchical models and probabilistic methods
title_full Onsite assessment of structural timber members by means of hierarchical models and probabilistic methods
title_fullStr Onsite assessment of structural timber members by means of hierarchical models and probabilistic methods
title_full_unstemmed Onsite assessment of structural timber members by means of hierarchical models and probabilistic methods
title_sort Onsite assessment of structural timber members by means of hierarchical models and probabilistic methods
author Sousa, Hélder S.
author_facet Sousa, Hélder S.
Machado, José S.
Branco, Jorge M.
Lourenço, Paulo B.
author_role author
author2 Machado, José S.
Branco, Jorge M.
Lourenço, Paulo B.
author2_role author
author
author
dc.contributor.none.fl_str_mv Universidade do Minho
dc.contributor.author.fl_str_mv Sousa, Hélder S.
Machado, José S.
Branco, Jorge M.
Lourenço, Paulo B.
dc.subject.por.fl_str_mv Bayesian methods
hierarchical modelling
timber reference properties
updating
Hierarchical modeling
Engenharia e Tecnologia::Engenharia Civil
Science & Technology
topic Bayesian methods
hierarchical modelling
timber reference properties
updating
Hierarchical modeling
Engenharia e Tecnologia::Engenharia Civil
Science & Technology
description One of the main motivations for hierarchical modelling is to understand how properties, composition and structure at lower scale levels may influence and be used to predict the material properties at macroscopic and structural engineering scales. Structural timber is, in most cases, characterized by three parameters usually designated as reference properties: density, bending modulus of elasticity and bending strength. The present paper addresses a review on different possibilities for obtaining reliable data about the mechanical behaviour of timber elements by collecting information at different levels and by organizing that information into a hierarchy of sequential levels (from lowest to highest). The applicability and limitations of statistic and probabilistic methods on the prediction and inference of timber’s reference material properties are discussed and exemplified.
publishDate 2015
dc.date.none.fl_str_mv 2015-06-10
2015-06-10T00:00:00Z
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/1822/38279
url http://hdl.handle.net/1822/38279
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 70. Sousa, H. S., Machado, J. S., Branco, J. M., & Lourenço, P. B. (2015). Onsite assessment of structural timber members by means of hierarchical models and probabilistic methods. Construction and Building Materials. doi: 10.1016/j.conbuildmat.2015.05.127
0950-0618
10.1016/j.conbuildmat.2015.05.127
The original publication is available at: http://www.sciencedirect.com/science/article/pii/S0950061815006698
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 Elsevier
publisher.none.fl_str_mv Elsevier
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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