Prediction of the load carrying capacity of elevated steel fibre reinforced concrete slabs
Autor(a) principal: | |
---|---|
Data de Publicação: | 2017 |
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/1822/45444 |
Resumo: | A novel methodology is developed for predicting the load carrying capacity of elevated steel fibre reinforced concrete (E-SFRC) slab systems. In the proposed approach the depth of slab’s cross section is discretized into several layers, and the number of steel fibres per each layer is determined by considering the distribution of fibres along the depth of cross section. This information, together with the one obtained from the threepoint notched beam bending tests performed on four series of SFRC made of different concrete strength class and content of fibres, have provided the stress-crack width laws for defining the post-cracking behaviour of each layer. These constitutive laws are implemented in a numerical model developed based on the moment-rotation approach for determining the positive and negative resisting bending moment of the slab’s unit width cross section. By using the yield line theory, the load carrying capacity of ESFRC slab is predicted for the most current load conditions. Predictive performance of the proposed methodology is assessed comparing to the results recorded in experiment and the ones obtained by the numerical simulation. Finally the developed model is utilised in a parametric study to evaluate the influence of parameters that affect the load-carrying capacity of E-SFRC slabs. |
id |
RCAP_2ed943569199bbc71920718ab0353fa6 |
---|---|
oai_identifier_str |
oai:repositorium.sdum.uminho.pt:1822/45444 |
network_acronym_str |
RCAP |
network_name_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository_id_str |
7160 |
spelling |
Prediction of the load carrying capacity of elevated steel fibre reinforced concrete slabsElevated slabsSteel fibre reinforced concreteLoad carrying capacityYield line theoryFibre distributionEngenharia e Tecnologia::Engenharia CivilScience & TechnologyA novel methodology is developed for predicting the load carrying capacity of elevated steel fibre reinforced concrete (E-SFRC) slab systems. In the proposed approach the depth of slab’s cross section is discretized into several layers, and the number of steel fibres per each layer is determined by considering the distribution of fibres along the depth of cross section. This information, together with the one obtained from the threepoint notched beam bending tests performed on four series of SFRC made of different concrete strength class and content of fibres, have provided the stress-crack width laws for defining the post-cracking behaviour of each layer. These constitutive laws are implemented in a numerical model developed based on the moment-rotation approach for determining the positive and negative resisting bending moment of the slab’s unit width cross section. By using the yield line theory, the load carrying capacity of ESFRC slab is predicted for the most current load conditions. Predictive performance of the proposed methodology is assessed comparing to the results recorded in experiment and the ones obtained by the numerical simulation. Finally the developed model is utilised in a parametric study to evaluate the influence of parameters that affect the load-carrying capacity of E-SFRC slabs.This work is supported by FEDER funds through the Operational Program for Competitiveness Factors - COMPETE and National Funds through FCT - Portuguese Foundation for Science and Technology under the project “SlabSys – HFRC – Flat slabs for multi-storey buildings using hybrid reinforced self-compacting concrete: an innovative structural system” PTDC/ECM/120394/2010. The first author also acknowledges the financial supports provided by Seismic Geotechnical and High Performance Concrete Research Centre of Semnan Branch, Islamic Azad University.info:eu-repo/semantics/publishedVersionElsevierUniversidade do MinhoSalehian, HamidrezaBarros, Joaquim A. O.20172017-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/1822/45444eng0263-82231879-108510.1016/j.compstruct.2017.03.002info: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:RCAAP2023-07-21T12:40:04Zoai:repositorium.sdum.uminho.pt:1822/45444Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T19:36:48.366272Repositório 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 the load carrying capacity of elevated steel fibre reinforced concrete slabs |
title |
Prediction of the load carrying capacity of elevated steel fibre reinforced concrete slabs |
spellingShingle |
Prediction of the load carrying capacity of elevated steel fibre reinforced concrete slabs Salehian, Hamidreza Elevated slabs Steel fibre reinforced concrete Load carrying capacity Yield line theory Fibre distribution Engenharia e Tecnologia::Engenharia Civil Science & Technology |
title_short |
Prediction of the load carrying capacity of elevated steel fibre reinforced concrete slabs |
title_full |
Prediction of the load carrying capacity of elevated steel fibre reinforced concrete slabs |
title_fullStr |
Prediction of the load carrying capacity of elevated steel fibre reinforced concrete slabs |
title_full_unstemmed |
Prediction of the load carrying capacity of elevated steel fibre reinforced concrete slabs |
title_sort |
Prediction of the load carrying capacity of elevated steel fibre reinforced concrete slabs |
author |
Salehian, Hamidreza |
author_facet |
Salehian, Hamidreza Barros, Joaquim A. O. |
author_role |
author |
author2 |
Barros, Joaquim A. O. |
author2_role |
author |
dc.contributor.none.fl_str_mv |
Universidade do Minho |
dc.contributor.author.fl_str_mv |
Salehian, Hamidreza Barros, Joaquim A. O. |
dc.subject.por.fl_str_mv |
Elevated slabs Steel fibre reinforced concrete Load carrying capacity Yield line theory Fibre distribution Engenharia e Tecnologia::Engenharia Civil Science & Technology |
topic |
Elevated slabs Steel fibre reinforced concrete Load carrying capacity Yield line theory Fibre distribution Engenharia e Tecnologia::Engenharia Civil Science & Technology |
description |
A novel methodology is developed for predicting the load carrying capacity of elevated steel fibre reinforced concrete (E-SFRC) slab systems. In the proposed approach the depth of slab’s cross section is discretized into several layers, and the number of steel fibres per each layer is determined by considering the distribution of fibres along the depth of cross section. This information, together with the one obtained from the threepoint notched beam bending tests performed on four series of SFRC made of different concrete strength class and content of fibres, have provided the stress-crack width laws for defining the post-cracking behaviour of each layer. These constitutive laws are implemented in a numerical model developed based on the moment-rotation approach for determining the positive and negative resisting bending moment of the slab’s unit width cross section. By using the yield line theory, the load carrying capacity of ESFRC slab is predicted for the most current load conditions. Predictive performance of the proposed methodology is assessed comparing to the results recorded in experiment and the ones obtained by the numerical simulation. Finally the developed model is utilised in a parametric study to evaluate the influence of parameters that affect the load-carrying capacity of E-SFRC slabs. |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017 2017-01-01T00:00:00Z |
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/1822/45444 |
url |
http://hdl.handle.net/1822/45444 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
0263-8223 1879-1085 10.1016/j.compstruct.2017.03.002 |
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 |
|
_version_ |
1799132898748530688 |