Comparative analysis of load capacity of precast piles obtained through theoretical methods in GEO5 software

Detalhes bibliográficos
Autor(a) principal: Mendes, Ian Lucas Lopes
Data de Publicação: 2022
Outros Autores: Mendes, Rafael de Sousa, Araujo, Rodrigo da Cruz de
Tipo de documento: Artigo
Idioma: por
Título da fonte: Research, Society and Development
Texto Completo: https://rsdjournal.org/index.php/rsd/article/view/37758
Resumo: The prediction of load capacity is of great value for the development of a foundation project. Due to the existence of difficulty in determining it accurately several methods developed by different authors have emerged over time. This research aims to compare the accuracy of the analytical   methods of "NAVFAC DM 7.2", "Effective Stresses" and "CSN  73 1002" for the results of load capacity of precast concrete piles. For the performance analysis, the values of geotechnical load capacity adopted as reference were those mobilized in load tests performed in forty-nine (49) piles. These values were compared with those obtained by the mentioned methods, measuring their correlation, mean percentage errors and mean quadratic errors. It has also been proposed adjustments to improve the predictions of each method, providing more accurate results. In first predictions the percentage errors ranged from 40.8% up to 96%. After excluding outliers and proposing adjustment coefficients to be applied to each value, all the methods presented better performances, with percentage error lowering to 30.8% in best result. It was concluded that, in general, the NAVFAC DM 7.2 method presented the best results.
id UNIFEI_1ffcfcbdc2ddb6e1eb93b6522fd29be3
oai_identifier_str oai:ojs.pkp.sfu.ca:article/37758
network_acronym_str UNIFEI
network_name_str Research, Society and Development
repository_id_str
spelling Comparative analysis of load capacity of precast piles obtained through theoretical methods in GEO5 softwareAnálisis comparativo de las capacidades de carga de pilotes prefabricados obtenidas por métodos teóricos en el software GEO5Análise comparativa das capacidades de carga de estacas pré-moldadas obtidas por métodos teóricos no software GEO5Capacidad de CargaSoftware Geo 5Fundaciones ProfundasPilotes.Ultimate Load CapacityGeo 5 SoftwareDeep FoundationsPiles.Capacidade de CargaSoftware GEO5Fundações ProfundasEstacas.The prediction of load capacity is of great value for the development of a foundation project. Due to the existence of difficulty in determining it accurately several methods developed by different authors have emerged over time. This research aims to compare the accuracy of the analytical   methods of "NAVFAC DM 7.2", "Effective Stresses" and "CSN  73 1002" for the results of load capacity of precast concrete piles. For the performance analysis, the values of geotechnical load capacity adopted as reference were those mobilized in load tests performed in forty-nine (49) piles. These values were compared with those obtained by the mentioned methods, measuring their correlation, mean percentage errors and mean quadratic errors. It has also been proposed adjustments to improve the predictions of each method, providing more accurate results. In first predictions the percentage errors ranged from 40.8% up to 96%. After excluding outliers and proposing adjustment coefficients to be applied to each value, all the methods presented better performances, with percentage error lowering to 30.8% in best result. It was concluded that, in general, the NAVFAC DM 7.2 method presented the best results.La previsión de capacidad de carga es de gran valor para el desarrollo de un proyecto de cimentación. Debido a la dificultad para determinarlo con precisión, varios métodos desarrollados por diferentes autores han surgido a lo largo del tiempo. Esta investigación presenta un estudio sobre la precisión de los métodos analíticos de "NAVFAC DM 7.2", "Tensión efectiva" y "CSN 73 1002" presentes en el software GEO5 para los resultados de capacidad de carga de pilotes prefabricados de hormigón. Para el análisis de rendimiento, los valores geotécnicos de capacidad de carga adoptados como referencia fueron los movilizados en pruebas de carga dinámica (obtenidas en la literatura) realizadas en 49 pilotes. Estos valores fueron comparados con los obtenidos por los métodos mencionados, midiendo su correlación, errores porcentuales medios y errores cuadráticos medios. Se concluyó que, en general, el método NAVFAC DM 7.2 presentó los mejores resultados. También se propusieron ajustes para mejorar las predicciones de cada método, proporcionando resultados más precisos.A previsão da capacidade de carga é de grande valia para o desenvolvimento de um projeto de fundação. Devido à dificuldade em determiná-la com precisão, vários métodos desenvolvidos por diferentes autores surgiram ao longo do tempo. Esta pesquisa apresenta um estudo sobre a precisão dos métodos analíticos de "NAVFAC DM 7.2", "Tensão Efetiva" e "CSN 73 1002" presentes no software GEO5 para os resultados de capacidade de carga de estacas pré-moldadas de concreto. Para a análise de desempenho, os valores de capacidade de carga geotécnica adotados como referência foram os mobilizados em ensaios de carregamento dinâmico (obtidos na literatura) realizados em 49 estacas. Esses valores foram comparados com os obtidos pelos métodos citados, medindo-se sua correlação, erros percentuais médios e erros quadráticos médios. Concluiu-se que, em geral, o método NAVFAC DM 7.2 apresentou os melhores resultados. Também foram propostos ajustes para melhorar as previsões de cada método, proporcionando resultados mais precisos.Research, Society and Development2022-11-25info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://rsdjournal.org/index.php/rsd/article/view/3775810.33448/rsd-v11i15.37758Research, Society and Development; Vol. 11 No. 15; e534111537758Research, Society and Development; Vol. 11 Núm. 15; e534111537758Research, Society and Development; v. 11 n. 15; e5341115377582525-3409reponame:Research, Society and Developmentinstname:Universidade Federal de Itajubá (UNIFEI)instacron:UNIFEIporhttps://rsdjournal.org/index.php/rsd/article/view/37758/31265Copyright (c) 2022 Ian Lucas Lopes Mendes; Rafael de Sousa Mendes; Rodrigo da Cruz de Araujohttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessMendes, Ian Lucas Lopes Mendes, Rafael de Sousa Araujo, Rodrigo da Cruz de2022-11-27T19:56:23Zoai:ojs.pkp.sfu.ca:article/37758Revistahttps://rsdjournal.org/index.php/rsd/indexPUBhttps://rsdjournal.org/index.php/rsd/oairsd.articles@gmail.com2525-34092525-3409opendoar:2024-01-17T09:51:48.330246Research, Society and Development - Universidade Federal de Itajubá (UNIFEI)false
dc.title.none.fl_str_mv Comparative analysis of load capacity of precast piles obtained through theoretical methods in GEO5 software
Análisis comparativo de las capacidades de carga de pilotes prefabricados obtenidas por métodos teóricos en el software GEO5
Análise comparativa das capacidades de carga de estacas pré-moldadas obtidas por métodos teóricos no software GEO5
title Comparative analysis of load capacity of precast piles obtained through theoretical methods in GEO5 software
spellingShingle Comparative analysis of load capacity of precast piles obtained through theoretical methods in GEO5 software
Mendes, Ian Lucas Lopes
Capacidad de Carga
Software Geo 5
Fundaciones Profundas
Pilotes.
Ultimate Load Capacity
Geo 5 Software
Deep Foundations
Piles.
Capacidade de Carga
Software GEO5
Fundações Profundas
Estacas.
title_short Comparative analysis of load capacity of precast piles obtained through theoretical methods in GEO5 software
title_full Comparative analysis of load capacity of precast piles obtained through theoretical methods in GEO5 software
title_fullStr Comparative analysis of load capacity of precast piles obtained through theoretical methods in GEO5 software
title_full_unstemmed Comparative analysis of load capacity of precast piles obtained through theoretical methods in GEO5 software
title_sort Comparative analysis of load capacity of precast piles obtained through theoretical methods in GEO5 software
author Mendes, Ian Lucas Lopes
author_facet Mendes, Ian Lucas Lopes
Mendes, Rafael de Sousa
Araujo, Rodrigo da Cruz de
author_role author
author2 Mendes, Rafael de Sousa
Araujo, Rodrigo da Cruz de
author2_role author
author
dc.contributor.author.fl_str_mv Mendes, Ian Lucas Lopes
Mendes, Rafael de Sousa
Araujo, Rodrigo da Cruz de
dc.subject.por.fl_str_mv Capacidad de Carga
Software Geo 5
Fundaciones Profundas
Pilotes.
Ultimate Load Capacity
Geo 5 Software
Deep Foundations
Piles.
Capacidade de Carga
Software GEO5
Fundações Profundas
Estacas.
topic Capacidad de Carga
Software Geo 5
Fundaciones Profundas
Pilotes.
Ultimate Load Capacity
Geo 5 Software
Deep Foundations
Piles.
Capacidade de Carga
Software GEO5
Fundações Profundas
Estacas.
description The prediction of load capacity is of great value for the development of a foundation project. Due to the existence of difficulty in determining it accurately several methods developed by different authors have emerged over time. This research aims to compare the accuracy of the analytical   methods of "NAVFAC DM 7.2", "Effective Stresses" and "CSN  73 1002" for the results of load capacity of precast concrete piles. For the performance analysis, the values of geotechnical load capacity adopted as reference were those mobilized in load tests performed in forty-nine (49) piles. These values were compared with those obtained by the mentioned methods, measuring their correlation, mean percentage errors and mean quadratic errors. It has also been proposed adjustments to improve the predictions of each method, providing more accurate results. In first predictions the percentage errors ranged from 40.8% up to 96%. After excluding outliers and proposing adjustment coefficients to be applied to each value, all the methods presented better performances, with percentage error lowering to 30.8% in best result. It was concluded that, in general, the NAVFAC DM 7.2 method presented the best results.
publishDate 2022
dc.date.none.fl_str_mv 2022-11-25
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/37758
10.33448/rsd-v11i15.37758
url https://rsdjournal.org/index.php/rsd/article/view/37758
identifier_str_mv 10.33448/rsd-v11i15.37758
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://rsdjournal.org/index.php/rsd/article/view/37758/31265
dc.rights.driver.fl_str_mv Copyright (c) 2022 Ian Lucas Lopes Mendes; Rafael de Sousa Mendes; Rodrigo da Cruz de Araujo
https://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2022 Ian Lucas Lopes Mendes; Rafael de Sousa Mendes; Rodrigo da Cruz de Araujo
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. 15; e534111537758
Research, Society and Development; Vol. 11 Núm. 15; e534111537758
Research, Society and Development; v. 11 n. 15; e534111537758
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
_version_ 1797052730057949184