Lateral capacity of URM walls: a parametric study using macro and micro limit analysis predictions

Detalhes bibliográficos
Autor(a) principal: Szabó, Simon
Data de Publicação: 2022
Outros Autores: Funari, Marco Francesco, Pulatsu, Bora, Lourenço, Paulo B.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: https://hdl.handle.net/1822/81031
Resumo: This research investigates the texture influence of masonry walls’ lateral capacity by comparing analytical predictions performed via macro and micro limit analysis. In particular, the effect of regular and quasi-periodic bond types, namely Running, Flemish, and English, is investigated. A full factorial dataset involving 81 combinations is generated by varying geometrical (panel and block aspect ratio, bond type) and mechanical (friction coefficient) parameters. Analysis of variance (ANOVA) approach is used to investigate one-way and two-way factor interactions for each parameter in order to assess how it affects the horizontal load multiplier. Macro and micro limit analysis predictions are compared, and the differences in terms of mass-proportional horizontal load multiplier and failure mechanism are critically discussed. Macro and micro limit analysis provide close results, demonstrating the reliability of such approaches. Furthermore, results underline how the panel and block aspect ratio had the most significant effect on both the mean values and scatter of results, while no significant effect could be attributed to the bond types.
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spelling Lateral capacity of URM walls: a parametric study using macro and micro limit analysis predictionsBond patternsLimit analysisParameter influenceIn-plane masonry wallScience & TechnologyThis research investigates the texture influence of masonry walls’ lateral capacity by comparing analytical predictions performed via macro and micro limit analysis. In particular, the effect of regular and quasi-periodic bond types, namely Running, Flemish, and English, is investigated. A full factorial dataset involving 81 combinations is generated by varying geometrical (panel and block aspect ratio, bond type) and mechanical (friction coefficient) parameters. Analysis of variance (ANOVA) approach is used to investigate one-way and two-way factor interactions for each parameter in order to assess how it affects the horizontal load multiplier. Macro and micro limit analysis predictions are compared, and the differences in terms of mass-proportional horizontal load multiplier and failure mechanism are critically discussed. Macro and micro limit analysis provide close results, demonstrating the reliability of such approaches. Furthermore, results underline how the panel and block aspect ratio had the most significant effect on both the mean values and scatter of results, while no significant effect could be attributed to the bond types.This work was partly financed by FCT/MCTES through national funds (PIDDAC) under the R&D Unit ISISE under reference UIDB/04029/2020. This study has been partly funded by the STAND4HERITAGE project that has received funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation program (Grant agreement No. 833123), as an Advanced Grant.Multidisciplinary Digital Publishing InstituteUniversidade do MinhoSzabó, SimonFunari, Marco FrancescoPulatsu, BoraLourenço, Paulo B.2022-10-262022-10-26T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/1822/81031engSzabó, S.; Funari, M.F.; Pulatsu, B.; Lourenço, P.B. Lateral Capacity of URM Walls: A Parametric Study Using Macro and Micro Limit Analysis Predictions. Appl. Sci. 2022, 12, 10834. https://doi.org/10.3390/app1221108342076-341710.3390/app122110834https://www.mdpi.com/2076-3417/12/21/10834info: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:RCAAP2023-07-21T12:48:07Zoai:repositorium.sdum.uminho.pt:1822/81031Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T19:46:17.827566Repositório 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 Lateral capacity of URM walls: a parametric study using macro and micro limit analysis predictions
title Lateral capacity of URM walls: a parametric study using macro and micro limit analysis predictions
spellingShingle Lateral capacity of URM walls: a parametric study using macro and micro limit analysis predictions
Szabó, Simon
Bond patterns
Limit analysis
Parameter influence
In-plane masonry wall
Science & Technology
title_short Lateral capacity of URM walls: a parametric study using macro and micro limit analysis predictions
title_full Lateral capacity of URM walls: a parametric study using macro and micro limit analysis predictions
title_fullStr Lateral capacity of URM walls: a parametric study using macro and micro limit analysis predictions
title_full_unstemmed Lateral capacity of URM walls: a parametric study using macro and micro limit analysis predictions
title_sort Lateral capacity of URM walls: a parametric study using macro and micro limit analysis predictions
author Szabó, Simon
author_facet Szabó, Simon
Funari, Marco Francesco
Pulatsu, Bora
Lourenço, Paulo B.
author_role author
author2 Funari, Marco Francesco
Pulatsu, Bora
Lourenço, Paulo B.
author2_role author
author
author
dc.contributor.none.fl_str_mv Universidade do Minho
dc.contributor.author.fl_str_mv Szabó, Simon
Funari, Marco Francesco
Pulatsu, Bora
Lourenço, Paulo B.
dc.subject.por.fl_str_mv Bond patterns
Limit analysis
Parameter influence
In-plane masonry wall
Science & Technology
topic Bond patterns
Limit analysis
Parameter influence
In-plane masonry wall
Science & Technology
description This research investigates the texture influence of masonry walls’ lateral capacity by comparing analytical predictions performed via macro and micro limit analysis. In particular, the effect of regular and quasi-periodic bond types, namely Running, Flemish, and English, is investigated. A full factorial dataset involving 81 combinations is generated by varying geometrical (panel and block aspect ratio, bond type) and mechanical (friction coefficient) parameters. Analysis of variance (ANOVA) approach is used to investigate one-way and two-way factor interactions for each parameter in order to assess how it affects the horizontal load multiplier. Macro and micro limit analysis predictions are compared, and the differences in terms of mass-proportional horizontal load multiplier and failure mechanism are critically discussed. Macro and micro limit analysis provide close results, demonstrating the reliability of such approaches. Furthermore, results underline how the panel and block aspect ratio had the most significant effect on both the mean values and scatter of results, while no significant effect could be attributed to the bond types.
publishDate 2022
dc.date.none.fl_str_mv 2022-10-26
2022-10-26T00:00:00Z
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/1822/81031
url https://hdl.handle.net/1822/81031
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Szabó, S.; Funari, M.F.; Pulatsu, B.; Lourenço, P.B. Lateral Capacity of URM Walls: A Parametric Study Using Macro and Micro Limit Analysis Predictions. Appl. Sci. 2022, 12, 10834. https://doi.org/10.3390/app122110834
2076-3417
10.3390/app122110834
https://www.mdpi.com/2076-3417/12/21/10834
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 Multidisciplinary Digital Publishing Institute
publisher.none.fl_str_mv Multidisciplinary Digital Publishing Institute
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_ 1799133031235059712

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