Data for: Shear-Torsion-Bending Interaction in RC Beams according to NBR 6118/2014 and AASHTO LRFD 2014

Detalhes bibliográficos
Autor(a) principal: Belarmino Almeida, Vinícius
Data de Publicação: 2022
Tipo de documento: Conjunto de dados
Título da fonte: SciELO Data
Texto Completo: https://doi.org/10.48331/scielodata.ZGNEIO
Resumo: Reinforced concrete beams are subjected to bending, torsion and shear simultaneously. The interaction of combined loading is complex and demands a unified model for analysis and design. Using the models from NBR 6118/2014 (variable angle truss model with parallel chords) and AASHTO LRFD Bridge Design Specifications 2014 (Modified Compression Field Theory), an algorithm was created, converting the resistance problem into a constrained optimization problem and generating an interaction surface that also displays the active constraints for each degree of interaction. Applying it to three beams previously tested, the experimental data was plotted against the surface obtained by the standards. The procedure and its optimization approach were efficient and effective in predicting the beams’ resistance. Comparison between the interaction surfaces, empirical data and existing literature showed the procedure and the standards were consistent and its application simple and practical. This dataset contains the optimization algothims and post-processing algorithms, including colormaps used for generating the surfaces and experimental data used for validation.
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spelling https://doi.org/10.48331/scielodata.ZGNEIOBelarmino Almeida, ViníciusData for: Shear-Torsion-Bending Interaction in RC Beams according to NBR 6118/2014 and AASHTO LRFD 2014SciELO DataReinforced concrete beams are subjected to bending, torsion and shear simultaneously. The interaction of combined loading is complex and demands a unified model for analysis and design. Using the models from NBR 6118/2014 (variable angle truss model with parallel chords) and AASHTO LRFD Bridge Design Specifications 2014 (Modified Compression Field Theory), an algorithm was created, converting the resistance problem into a constrained optimization problem and generating an interaction surface that also displays the active constraints for each degree of interaction. Applying it to three beams previously tested, the experimental data was plotted against the surface obtained by the standards. The procedure and its optimization approach were efficient and effective in predicting the beams’ resistance. Comparison between the interaction surfaces, empirical data and existing literature showed the procedure and the standards were consistent and its application simple and practical. This dataset contains the optimization algothims and post-processing algorithms, including colormaps used for generating the surfaces and experimental data used for validation.2022-03-29info:eu-repo/semantics/openAccesshttp://creativecommons.org/publicdomain/zero/1.0Engineeringreinforced concretebendingtorsionshearinteractionoptimizationNBR 6118AASHTO LRFDinfo:eu-repo/semantics/datasetinfo:eu-repo/semantics/datasetinfo:eu-repo/semantics/publishedVersionDatasetreponame:SciELO Datainstname:Scientific Electronic Library Online (SCIELO)instacron:SCIRepositório de Dados de PesquisaONGhttps://data.scielo.org/oai/requestdata@scielo.orgopendoar:2024-04-11T06:11:21SciELO Data - Scientific Electronic Library Online (SCIELO)falsedoi:10.48331/scielodata.ZGNEIO
dc.title.none.fl_str_mv Data for: Shear-Torsion-Bending Interaction in RC Beams according to NBR 6118/2014 and AASHTO LRFD 2014
title Data for: Shear-Torsion-Bending Interaction in RC Beams according to NBR 6118/2014 and AASHTO LRFD 2014
spellingShingle Data for: Shear-Torsion-Bending Interaction in RC Beams according to NBR 6118/2014 and AASHTO LRFD 2014
Belarmino Almeida, Vinícius
Engineering
reinforced concrete
bending
torsion
shear
interaction
optimization
NBR 6118
AASHTO LRFD
title_short Data for: Shear-Torsion-Bending Interaction in RC Beams according to NBR 6118/2014 and AASHTO LRFD 2014
title_full Data for: Shear-Torsion-Bending Interaction in RC Beams according to NBR 6118/2014 and AASHTO LRFD 2014
title_fullStr Data for: Shear-Torsion-Bending Interaction in RC Beams according to NBR 6118/2014 and AASHTO LRFD 2014
title_full_unstemmed Data for: Shear-Torsion-Bending Interaction in RC Beams according to NBR 6118/2014 and AASHTO LRFD 2014
title_sort Data for: Shear-Torsion-Bending Interaction in RC Beams according to NBR 6118/2014 and AASHTO LRFD 2014
author Belarmino Almeida, Vinícius
author_facet Belarmino Almeida, Vinícius
author_role author
dc.contributor.author.fl_str_mv Belarmino Almeida, Vinícius
dc.subject.none.fl_str_mv Engineering
reinforced concrete
bending
torsion
shear
interaction
optimization
NBR 6118
AASHTO LRFD
topic Engineering
reinforced concrete
bending
torsion
shear
interaction
optimization
NBR 6118
AASHTO LRFD
description Reinforced concrete beams are subjected to bending, torsion and shear simultaneously. The interaction of combined loading is complex and demands a unified model for analysis and design. Using the models from NBR 6118/2014 (variable angle truss model with parallel chords) and AASHTO LRFD Bridge Design Specifications 2014 (Modified Compression Field Theory), an algorithm was created, converting the resistance problem into a constrained optimization problem and generating an interaction surface that also displays the active constraints for each degree of interaction. Applying it to three beams previously tested, the experimental data was plotted against the surface obtained by the standards. The procedure and its optimization approach were efficient and effective in predicting the beams’ resistance. Comparison between the interaction surfaces, empirical data and existing literature showed the procedure and the standards were consistent and its application simple and practical. This dataset contains the optimization algothims and post-processing algorithms, including colormaps used for generating the surfaces and experimental data used for validation.
publishDate 2022
dc.date.issued.fl_str_mv 2022-03-29
dc.type.openaire.fl_str_mv info:eu-repo/semantics/dataset
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.none.fl_str_mv info:eu-repo/semantics/dataset
format dataset
status_str publishedVersion
dc.identifier.url.fl_str_mv https://doi.org/10.48331/scielodata.ZGNEIO
url https://doi.org/10.48331/scielodata.ZGNEIO
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/publicdomain/zero/1.0
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dc.format.none.fl_str_mv Dataset
dc.publisher.none.fl_str_mv SciELO Data
publisher.none.fl_str_mv SciELO Data
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instacron:SCI
instname_str Scientific Electronic Library Online (SCIELO)
instacron_str SCI
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reponame_str SciELO Data
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repository.name.fl_str_mv SciELO Data - Scientific Electronic Library Online (SCIELO)
repository.mail.fl_str_mv data@scielo.org
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