A model for the prediction of the punching resistance of steel fibre reinforced concrete slabs centrically loaded

Bibliographic Details
Main Author: Moraes-Neto, B. N.
Publication Date: 2013
Other Authors: Barros, Joaquim A. O., Melo, Guilherme S.
Format: Article
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: https://hdl.handle.net/1822/26270
Summary: With the aim of contributing for the development of design guidelines capable of predicting with high accuracy the punching resistance of steel fibre reinforced concrete (SFRC) flat slabs, a proposal is presented in the present paper and its predictive performance is assessed by using a database that collects the experimental results from 154 punching tests. The theoretical fundaments of this proposal are based on the critical shear crack theory proposed by Muttoni and his co-authors. The proposal is capable of predicting the load versus rotation of the slab, and attends to the punching failure criterion of the slab. The proposal takes into account the recommendations of the most recent CEB-FIP Model Code for modelling the post-cracking behaviour of SFRC. By simulating the tests composing the collected database, the good predictive performance of the developed proposal is demonstrated.
id RCAP_ba759d79eb1d023801b8a091ab986b29
oai_identifier_str oai:repositorium.sdum.uminho.pt:1822/26270
network_acronym_str RCAP
network_name_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository_id_str https://opendoar.ac.uk/repository/7160
spelling A model for the prediction of the punching resistance of steel fibre reinforced concrete slabs centrically loadedReinforced concreteFlat concrete slabPunchingSteel fibre reinforced concreteAnalytical modelsScience & TechnologyWith the aim of contributing for the development of design guidelines capable of predicting with high accuracy the punching resistance of steel fibre reinforced concrete (SFRC) flat slabs, a proposal is presented in the present paper and its predictive performance is assessed by using a database that collects the experimental results from 154 punching tests. The theoretical fundaments of this proposal are based on the critical shear crack theory proposed by Muttoni and his co-authors. The proposal is capable of predicting the load versus rotation of the slab, and attends to the punching failure criterion of the slab. The proposal takes into account the recommendations of the most recent CEB-FIP Model Code for modelling the post-cracking behaviour of SFRC. By simulating the tests composing the collected database, the good predictive performance of the developed proposal is demonstrated.Fundação para a Ciência e a Tecnologia (FCT)ElsevierUniversidade do MinhoMoraes-Neto, B. N.Barros, Joaquim A. O.Melo, Guilherme S.20132013-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/1822/26270eng0950-061810.1016/j.conbuildmat.2013.04.034info:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2025-04-12T04:57:18Zoai:repositorium.sdum.uminho.pt:1822/26270Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T15:49:12.196714Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv A model for the prediction of the punching resistance of steel fibre reinforced concrete slabs centrically loaded
title A model for the prediction of the punching resistance of steel fibre reinforced concrete slabs centrically loaded
spellingShingle A model for the prediction of the punching resistance of steel fibre reinforced concrete slabs centrically loaded
Moraes-Neto, B. N.
Reinforced concrete
Flat concrete slab
Punching
Steel fibre reinforced concrete
Analytical models
Science & Technology
title_short A model for the prediction of the punching resistance of steel fibre reinforced concrete slabs centrically loaded
title_full A model for the prediction of the punching resistance of steel fibre reinforced concrete slabs centrically loaded
title_fullStr A model for the prediction of the punching resistance of steel fibre reinforced concrete slabs centrically loaded
title_full_unstemmed A model for the prediction of the punching resistance of steel fibre reinforced concrete slabs centrically loaded
title_sort A model for the prediction of the punching resistance of steel fibre reinforced concrete slabs centrically loaded
author Moraes-Neto, B. N.
author_facet Moraes-Neto, B. N.
Barros, Joaquim A. O.
Melo, Guilherme S.
author_role author
author2 Barros, Joaquim A. O.
Melo, Guilherme S.
author2_role author
author
dc.contributor.none.fl_str_mv Universidade do Minho
dc.contributor.author.fl_str_mv Moraes-Neto, B. N.
Barros, Joaquim A. O.
Melo, Guilherme S.
dc.subject.por.fl_str_mv Reinforced concrete
Flat concrete slab
Punching
Steel fibre reinforced concrete
Analytical models
Science & Technology
topic Reinforced concrete
Flat concrete slab
Punching
Steel fibre reinforced concrete
Analytical models
Science & Technology
description With the aim of contributing for the development of design guidelines capable of predicting with high accuracy the punching resistance of steel fibre reinforced concrete (SFRC) flat slabs, a proposal is presented in the present paper and its predictive performance is assessed by using a database that collects the experimental results from 154 punching tests. The theoretical fundaments of this proposal are based on the critical shear crack theory proposed by Muttoni and his co-authors. The proposal is capable of predicting the load versus rotation of the slab, and attends to the punching failure criterion of the slab. The proposal takes into account the recommendations of the most recent CEB-FIP Model Code for modelling the post-cracking behaviour of SFRC. By simulating the tests composing the collected database, the good predictive performance of the developed proposal is demonstrated.
publishDate 2013
dc.date.none.fl_str_mv 2013
2013-01-01T00:00:00Z
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 https://hdl.handle.net/1822/26270
url https://hdl.handle.net/1822/26270
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 0950-0618
10.1016/j.conbuildmat.2013.04.034
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:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron:RCAAP
instname_str FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron_str RCAAP
institution RCAAP
reponame_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
collection Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository.name.fl_str_mv Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
repository.mail.fl_str_mv info@rcaap.pt
_version_ 1833595558760022016

Similar Items