Use of generalized additive mixed models in the comparison of mortar types in different configurations

Detalhes bibliográficos
Autor(a) principal: Silva, Breno Gabriel da
Data de Publicação: 2022
Outros Autores: Oliveira, Willian Luís de, Guedes, Terezinha Aparecida, Janeiro, Vanderly, Canova, José Aparecido
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Research, Society and Development
DOI: 10.33448/rsd-v11i6.29160
Texto Completo: https://rsdjournal.org/index.php/rsd/article/view/29160
Resumo: Generalized additive mixed models (GAMM) are useful when the nature of the data is longitudinal, which include the nonlinearity of the individual trajectories of the subjects, associating these with the assumption of the existence of random effects for each individual. In these models it is possible to rewrite the predictor as a sum of smooth nonparametric functions and then use the smooth technique P-spline. Thus, using the generalized additive mixed models with P-splines, this article aims to verify the impact of the types of mortars and the concentration levels of an additive content on the evolution of mortar weight contained in specimens over time, verifying possible differences between combinations of types and concentration. In relation to the results, it was observed through the analyzes that there were significant differences in the estimated curves of the weight evolution in both types of mortar, concluding that the matured mortar has a water absorption speed by capillarity higher than dry mortar. All the necessary assumptions for the validity of the model have been satisfied.
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spelling Use of generalized additive mixed models in the comparison of mortar types in different configurationsUso de modelos aditivos generalizados mixtos en la comparación de tipos de mortero en diferentes configuracionesUso de modelos aditivos generalizados mistos na comparação de tipos de argamassa em diferentes configuraçõesModelos aditivos generalizados mistosDados longitudinaisRegressão não paramétricaP-splines.Modelos aditivos generalizados mixtosDatos longitudinalesRegresión no paramétricaP-splines.Generalized additive mixed modelsLongitudinal dataNonparametric regressionP-splines.Generalized additive mixed models (GAMM) are useful when the nature of the data is longitudinal, which include the nonlinearity of the individual trajectories of the subjects, associating these with the assumption of the existence of random effects for each individual. In these models it is possible to rewrite the predictor as a sum of smooth nonparametric functions and then use the smooth technique P-spline. Thus, using the generalized additive mixed models with P-splines, this article aims to verify the impact of the types of mortars and the concentration levels of an additive content on the evolution of mortar weight contained in specimens over time, verifying possible differences between combinations of types and concentration. In relation to the results, it was observed through the analyzes that there were significant differences in the estimated curves of the weight evolution in both types of mortar, concluding that the matured mortar has a water absorption speed by capillarity higher than dry mortar. All the necessary assumptions for the validity of the model have been satisfied.Los modelos aditivos generalizados mixtos (GAMM) son útiles cuando la naturaleza de los datos es longitudinal, que incluyen la no linealidad de las trayectorias individuales de los sujetos, asociándolas a la suposición de la existencia de efectos aleatorios para cada individuo. En estos modelos es posible reescribir el predictor como una suma de funciones no paramétricas suaves y luego usar la técnica suave P-spline. Así, utilizando los modelos mixtos aditivos generalizados con P-splines, este artículo tiene como objetivo verificar el impacto de los tipos de morteros y los niveles de concentración de un contenido de aditivo en la evolución del peso del mortero contenido en las muestras a lo largo del tiempo, verificando posibles diferencias entre combinaciones. de tipos y concentración. En relación a los resultados, se observó a través de los análisis que existían diferencias significativas en las curvas estimadas de evolución del peso en ambos tipos de mortero, concluyendo que el mortero madurado tiene una velocidad de absorción de agua por capilaridad superior al mortero seco. Se han satisfecho todos los supuestos necesarios para la validez del modelo.Os modelos aditivos generalizados mistos (GAMM) são úteis quando a natureza dos dados é longitudinal, que inclui a não linearidade das trajetórias individuais dos sujeitos, associando-as à suposição da existência de efeitos aleatórios para cada indivíduo. Nesses modelos é possível reescrever o preditor como uma soma de funções não paramétricas suaves e então usar a técnica de suavização P-spline. Assim, utilizando os modelos mistos aditivos generalizados com P-splines, este artigo tem como objetivo verificar o impacto dos tipos de argamassas e dos níveis de concentração de um teor de aditivo na evolução do peso da argamassa contida nos corpos de prova ao longo do tempo, verificando possíveis diferenças entre combinações de tipos e concentração. Em relação aos resultados, observou-se através das análises que houve diferenças significativas nas curvas estimadas da evolução de massa nos dois tipos de argamassa, concluindo que a argamassa maturada possui uma velocidade de absorção de água por capilaridade superior à argamassa seca. Todas as suposições necessárias para a validade do modelo foram satisfeitas.Research, Society and Development2022-04-28info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://rsdjournal.org/index.php/rsd/article/view/2916010.33448/rsd-v11i6.29160Research, Society and Development; Vol. 11 No. 6; e31011629160Research, Society and Development; Vol. 11 Núm. 6; e31011629160Research, Society and Development; v. 11 n. 6; e310116291602525-3409reponame:Research, Society and Developmentinstname:Universidade Federal de Itajubá (UNIFEI)instacron:UNIFEIenghttps://rsdjournal.org/index.php/rsd/article/view/29160/25526Copyright (c) 2022 Breno Gabriel da Silva; Willian Luís de Oliveira; Terezinha Aparecida Guedes; Vanderly Janeiro; José Aparecido Canovahttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessSilva, Breno Gabriel da Oliveira, Willian Luís de Guedes, Terezinha AparecidaJaneiro, VanderlyCanova, José Aparecido2022-05-13T18:04:10Zoai:ojs.pkp.sfu.ca:article/29160Revistahttps://rsdjournal.org/index.php/rsd/indexPUBhttps://rsdjournal.org/index.php/rsd/oairsd.articles@gmail.com2525-34092525-3409opendoar:2024-01-17T09:46:18.734581Research, Society and Development - Universidade Federal de Itajubá (UNIFEI)false
dc.title.none.fl_str_mv Use of generalized additive mixed models in the comparison of mortar types in different configurations
Uso de modelos aditivos generalizados mixtos en la comparación de tipos de mortero en diferentes configuraciones
Uso de modelos aditivos generalizados mistos na comparação de tipos de argamassa em diferentes configurações
title Use of generalized additive mixed models in the comparison of mortar types in different configurations
spellingShingle Use of generalized additive mixed models in the comparison of mortar types in different configurations
Use of generalized additive mixed models in the comparison of mortar types in different configurations
Silva, Breno Gabriel da
Modelos aditivos generalizados mistos
Dados longitudinais
Regressão não paramétrica
P-splines.
Modelos aditivos generalizados mixtos
Datos longitudinales
Regresión no paramétrica
P-splines.
Generalized additive mixed models
Longitudinal data
Nonparametric regression
P-splines.
Silva, Breno Gabriel da
Modelos aditivos generalizados mistos
Dados longitudinais
Regressão não paramétrica
P-splines.
Modelos aditivos generalizados mixtos
Datos longitudinales
Regresión no paramétrica
P-splines.
Generalized additive mixed models
Longitudinal data
Nonparametric regression
P-splines.
title_short Use of generalized additive mixed models in the comparison of mortar types in different configurations
title_full Use of generalized additive mixed models in the comparison of mortar types in different configurations
title_fullStr Use of generalized additive mixed models in the comparison of mortar types in different configurations
Use of generalized additive mixed models in the comparison of mortar types in different configurations
title_full_unstemmed Use of generalized additive mixed models in the comparison of mortar types in different configurations
Use of generalized additive mixed models in the comparison of mortar types in different configurations
title_sort Use of generalized additive mixed models in the comparison of mortar types in different configurations
author Silva, Breno Gabriel da
author_facet Silva, Breno Gabriel da
Silva, Breno Gabriel da
Oliveira, Willian Luís de
Guedes, Terezinha Aparecida
Janeiro, Vanderly
Canova, José Aparecido
Oliveira, Willian Luís de
Guedes, Terezinha Aparecida
Janeiro, Vanderly
Canova, José Aparecido
author_role author
author2 Oliveira, Willian Luís de
Guedes, Terezinha Aparecida
Janeiro, Vanderly
Canova, José Aparecido
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Silva, Breno Gabriel da
Oliveira, Willian Luís de
Guedes, Terezinha Aparecida
Janeiro, Vanderly
Canova, José Aparecido
dc.subject.por.fl_str_mv Modelos aditivos generalizados mistos
Dados longitudinais
Regressão não paramétrica
P-splines.
Modelos aditivos generalizados mixtos
Datos longitudinales
Regresión no paramétrica
P-splines.
Generalized additive mixed models
Longitudinal data
Nonparametric regression
P-splines.
topic Modelos aditivos generalizados mistos
Dados longitudinais
Regressão não paramétrica
P-splines.
Modelos aditivos generalizados mixtos
Datos longitudinales
Regresión no paramétrica
P-splines.
Generalized additive mixed models
Longitudinal data
Nonparametric regression
P-splines.
description Generalized additive mixed models (GAMM) are useful when the nature of the data is longitudinal, which include the nonlinearity of the individual trajectories of the subjects, associating these with the assumption of the existence of random effects for each individual. In these models it is possible to rewrite the predictor as a sum of smooth nonparametric functions and then use the smooth technique P-spline. Thus, using the generalized additive mixed models with P-splines, this article aims to verify the impact of the types of mortars and the concentration levels of an additive content on the evolution of mortar weight contained in specimens over time, verifying possible differences between combinations of types and concentration. In relation to the results, it was observed through the analyzes that there were significant differences in the estimated curves of the weight evolution in both types of mortar, concluding that the matured mortar has a water absorption speed by capillarity higher than dry mortar. All the necessary assumptions for the validity of the model have been satisfied.
publishDate 2022
dc.date.none.fl_str_mv 2022-04-28
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://rsdjournal.org/index.php/rsd/article/view/29160
10.33448/rsd-v11i6.29160
url https://rsdjournal.org/index.php/rsd/article/view/29160
identifier_str_mv 10.33448/rsd-v11i6.29160
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://rsdjournal.org/index.php/rsd/article/view/29160/25526
dc.rights.driver.fl_str_mv https://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Research, Society and Development
publisher.none.fl_str_mv Research, Society and Development
dc.source.none.fl_str_mv Research, Society and Development; Vol. 11 No. 6; e31011629160
Research, Society and Development; Vol. 11 Núm. 6; e31011629160
Research, Society and Development; v. 11 n. 6; e31011629160
2525-3409
reponame:Research, Society and Development
instname:Universidade Federal de Itajubá (UNIFEI)
instacron:UNIFEI
instname_str Universidade Federal de Itajubá (UNIFEI)
instacron_str UNIFEI
institution UNIFEI
reponame_str Research, Society and Development
collection Research, Society and Development
repository.name.fl_str_mv Research, Society and Development - Universidade Federal de Itajubá (UNIFEI)
repository.mail.fl_str_mv rsd.articles@gmail.com
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dc.identifier.doi.none.fl_str_mv 10.33448/rsd-v11i6.29160