Comparative analysis of load capacity of precast piles obtained through theoretical methods in GEO5 software
DOI:
https://doi.org/10.33448/rsd-v11i15.37758Keywords:
Ultimate Load Capacity; Geo 5 Software; Deep Foundations; Piles.Abstract
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.
References
ABNT (2019). NBR 6122: Projeto e execução de fundações. Rio de Janeiro, Brasil.
Alonso, U. R (2010). Exercícios De Fundações. 2a ed. São Paulo: Editora Edgard Blucher LTDA, São Paulo.
Bažant, V. (2014). Methods of Foundation Engineering: Developments in Geotechnical Engineering. 24. ed. Prague, Czechoslovakia: Elsevier. 616 p. v. único. ISBN 0444598057, 9780444598059.
Bisquerra-Anzina, R., Castellá Sarriera, J. & Martínez, F. (2004). Introdução à estatística: enfoque informático com o pacote estatístico SPSS. Porto Alegre: Artmed.
Cabette, J. F. (2014). Análise dos Métodos Semi-empíricos Utilizados para a Estimativa da Capacidade de Carga de Estacas Pré-fabricadascom Base em Resultados de Ensaios de Carregamento Dinâmico. Dissertação (Mestrado). 160 p. Escola Politécnica da Universidade de São Paulo, São Paulo, 2014. DOI 10.11606/D.3.2014.tde-29122014-172152.
Devore, J. L. (2006). Probabilidade e estatística: para engenharia e ciências. São Paulo: Thomson Pioneira,. 706 p.
Fellenius, B. H. (2021). Basics of foundation design. Electronic Edition.
Recuperado de: <http://www.fellenius.net/papers/401%20The%20Red%20Book,%20Basics%20of%20foundation%20design%202020.pdf>
GEO5, Software (ed.) (2020). Estaca. In: Análise da capacidade de suporte vertical de uma estaca isolada.. [S. l.]: Fine Software.
Gil, A. C. (2007) Métodos e técnicas de pesquisa social. 5. ed. São Paulo: Atlas.
Hachich, W. & Nader, J. J. (1993). Correlações entre Parâmetros: Análise Crítica. In: Solos da Cidade de São Paulo. São Paulo: ABMS.
Lobo, B. de O. (2005). Método de Previsão de Capacidade de Carga de Estacas: Aplicação dos Conceitos de Energia do Ensaio SPT. 139 p. Dissertação (Mestrado) - Programa de Pós-Graduação em Engenharia Civil. UFRGS, Porto Alegre
DAS, B. M. (2011). Principles of Foundation Engineering. 7. ed. United States: Cengage Learning. 815 p. v. único. ISBN 978-0-495-66812-1.
Monteiro, T. M., Araújo, C. B. C. & Aguiar, M. F. P. (2017). Análise de métodos semiempíricos nacionais e internacionais para determinação da capacidade de carga axial em estacas tipo raiz. Revista Tecnologia. Fortaleza, v. 38, n. 2, p. 1-16.
Moreira, T. J. S. & Araujo, R. C. (2022). Comparação das Capacidades de Carga de Estacas Pré-moldadas de Concreto Estimadas por Meio de um Método Teórico e um Semiempírico. Revista de Engenharia e Tecnologia. Volume 14, Número 2, p. 77-88.
Neto, H. N. (1991). Filosofia básica. São Paulo: Atual, 3ª. ed.
Pessoa, A. D., Sousa, G. C. L., Anjos, G. J.M. & Araujo, R. C. (2021a). Analysis Over the Accuracy of Dynamic Formulas for Predicting Ultimate Load Capacity in Deep Foundations. American Scientific Research Journal for Engineering, Technology, and Sciences (ASRJETS). Volume 79, N. 1, p.66-88.
Pessoa, A.D., Sousa, G.C.L., Araujo, R.C. & Anjos, G. J. M. (2021b). Artificial
neural network model for predicting load capacity of driven piles.
Research, Society and Development, [S. l.], v. 10, n. 1, p. e12210111526. DOI:10.33448/rsd-v10i1.11526
Pereira, A.S., Shitsuka, D.M., Parreira, F.J., & Shitsuka, R. (2018). Metodologia da pesquisa científica. Editora UAB/NTE/UFSM. Santa Maria-RS
Pereira, A. B., Porto, T.B., Gomes, R.C., Santos, R. L. R. & Rabelo, J. M. G. (2020). Análise De Desempenho De Métodos
Semiempíricos De Previsão De Capacidade De Carga Geotécnica Aplicados A
Estacas Pré-moldadas De Concreto Assentes Em Argila Arenosa. Brazilian
Journal of Development, Curitiba, v. 6, n. 2, p. 5948-5976, fev.
Pereira, A. B., Porto, T.B. & Gomes, R.C.(2021) Reliability and geotechnical safety applied to deep foundations in precast concrete piles – case study. REM, Int. Eng. J., Ouro Preto, 74(1), 9-18, jan. mar.
Silva, F. M. & Araujo, R. C. (2021). Comparison over the accuracy of ultimate bearing capacity predictions of an analytical and a semiempirical methods. International Journal of Science and Engineering Investigations. September, Vol.10, Issue 116.
Shooshpasha, I., Hasanzadeh, A. & Taghavi, A. (2013). Prediction of the Axial Bearing Capacity of Piles by SPT-based and Numerical Design Methods. Int. J. of GEOMATE, June, 2013, Vol. 4, No. 2 (Sl. No. 8), p.560-564.
Soares, J. da R., Weber, D. M., Monteiro, A. B., Wolenski, A. R V. & Santos, R. A., (2014). Estimativa da Capacidade de Carga de Estacas Esca-vadas de Concreto a Partir de Métodos Semiempíricos e de Ensaios de Prova de Carga Estática. Anais Do 56º Congresso Brasileiro Do Concreto - Cbc2014 – 56cbc.
U.S. Department of the Navy (1984). NAVFAC DM 7.2. In: Foundation and Earth Structures. Department of the Navy, Naval Facilities. Engineer-ing Command, Alexandria, VA. 5United States.
Velloso, D. de A. & Alonso, U. R. (2010). Previsão, Controle e Desempenho de Fundações. In: Previsão de Desempenho x Comportamento Real. São Paulo: ABMS/NRSP.
Zanella, L. C. H. (2011). Metodologia de Pesquisa. (2a edição). Recovered from: <http://arquivos.eadadm.ufsc.br/EaDADM/UAB_2014_2/Modulo_1/Metodologia/material_didatico/Livro texto Metodologia da Pesquisa.pdf>
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2022 Ian Lucas Lopes Mendes; Rafael de Sousa Mendes; Rodrigo da Cruz de Araujo
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with this journal agree to the following terms:
1) Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
2) Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
3) Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.