Probability Analysis of Embankment on Soft Soil
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Vetor (Online) |
Texto Completo: | https://periodicos.furg.br/vetor/article/view/12905 |
Resumo: | No model correctly predicts a given system's reality, so that the engineering calculations have uncertainties, which may cause several kinds of errors. The constructions on soft clay deposits present a high difficulty due to such soil's high compressibility and low resistance. The geotechnical designs of embankments on soft soils are traditionally analyzed using a global safety factor obtained through deterministic methods, not incorporating the calculation's inherent uncertainties. On the other hand, the probabilistic approach makes it possible to quantify the uncertainties arising from the parameters' variability and the more comprehensive assessment of the expected safety level for the work through the probability of failure. In this way, it is possible to untie the idea that high safety factor values always guarantee safer projects. In this context, this study aims to compare the solutions obtained by the Probabilistic Methods of Rosenblueth, Monte Carlo, Latin Hypercube, and First Order Second Moment (FOSM), in addition to evaluating the results by means of a deterministic approach using the methods of Bishop Simplified, Janbu Simplified, Spencer and Morgenstern & Price. Stability analyses were performed using the Slide v.6 computational tool. The analyses show the importance of introducing the coefficient of variation in the parameters since the uncertainty directly affects the level of performance expected for the work. |
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Probability Analysis of Embankment on Soft SoilAnálise Probabilística de Aterro sobre Solos MolesSolos molesMétodos DeterminísticosMétodos ProbabilísticosProbabilidade de FalhaSoft soilDeterministic MethodsProbabilistic MethodsFailure ProbabilityNo model correctly predicts a given system's reality, so that the engineering calculations have uncertainties, which may cause several kinds of errors. The constructions on soft clay deposits present a high difficulty due to such soil's high compressibility and low resistance. The geotechnical designs of embankments on soft soils are traditionally analyzed using a global safety factor obtained through deterministic methods, not incorporating the calculation's inherent uncertainties. On the other hand, the probabilistic approach makes it possible to quantify the uncertainties arising from the parameters' variability and the more comprehensive assessment of the expected safety level for the work through the probability of failure. In this way, it is possible to untie the idea that high safety factor values always guarantee safer projects. In this context, this study aims to compare the solutions obtained by the Probabilistic Methods of Rosenblueth, Monte Carlo, Latin Hypercube, and First Order Second Moment (FOSM), in addition to evaluating the results by means of a deterministic approach using the methods of Bishop Simplified, Janbu Simplified, Spencer and Morgenstern & Price. Stability analyses were performed using the Slide v.6 computational tool. The analyses show the importance of introducing the coefficient of variation in the parameters since the uncertainty directly affects the level of performance expected for the work.Nenhum modelo prevê perfeitamente a realidade de um determinado sistema; consequentemente, os cálculos em engenharia têm incertezas, que, por conseguinte vão repercutir diretamente em erros de diversos tipos. Em especial, as obras sobre depósitos de argilas moles apresentam uma alta dificuldade devido ao comportamento caracterizado por elevada compressibilidade e baixa resistência desse solo. Os projetos geotécnicos de aterros sobre solos moles são tradicionalmente analisados por intermédio de um fator de segurança global obtido por meio de métodos determinísticos, não incorporando as incertezas inerentes no cálculo. Já a abordagem probabilística possibilita a quantificação das incertezas oriundas da variabilidade dos parâmetros, bem como a avaliação mais abrangente do nível de segurança esperado para a obra através da probabilidade de falha. Desse modo, é possível desvincular a ideia que altos valores de fator de segurança sempre garantem projetos mais seguros. Neste contexto, o presente estudo tem como objetivo comparar as soluções obtidas pelos Métodos Probabilísticos de Rosenblueth, Monte Carlo, Hipercubo Latino e First Order Second Moment (FOSM), além de avaliar os resultados pela abordagem determinística pelos métodos de Bishop Simplificado, Janbu Simplificado, Spencer e Morgenstern & Price. As análises referentes a estabilidade foram realizadas com o auxílio da ferramenta computacional Slide v.6. Os resultados oriundos das análises evidenciam a importância da inserção do coeficiente de variação nos parâmetros, já que a incerteza repercute diretamente no nível de desempenho esperado para a obra.Universidade Federal do Rio Grande2021-04-22info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://periodicos.furg.br/vetor/article/view/1290510.14295/vetor.v30i1.12905VETOR - Journal of Exact Sciences and Engineering; Vol. 30 No. 1 (2020); 38-48VETOR - Revista de Ciências Exatas e Engenharias; v. 30 n. 1 (2020); 38-482358-34520102-7352reponame:Vetor (Online)instname:Universidade Federal do Rio Grande (FURG)instacron:FURGporhttps://periodicos.furg.br/vetor/article/view/12905/8678Copyright (c) 2021 VETOR - Revista de Ciências Exatas e Engenhariasinfo:eu-repo/semantics/openAccessFalcão, Patrícia Rodrigues Fagundes, Diego de Freitas Alves, Antônio Marcos de Lima2021-08-05T21:46:16Zoai:periodicos.furg.br:article/12905Revistahttps://periodicos.furg.br/vetorPUBhttps://periodicos.furg.br/vetor/oaigmplatt@furg.br2358-34520102-7352opendoar:2021-08-05T21:46:16Vetor (Online) - Universidade Federal do Rio Grande (FURG)false |
dc.title.none.fl_str_mv |
Probability Analysis of Embankment on Soft Soil Análise Probabilística de Aterro sobre Solos Moles |
title |
Probability Analysis of Embankment on Soft Soil |
spellingShingle |
Probability Analysis of Embankment on Soft Soil Falcão, Patrícia Rodrigues Solos moles Métodos Determinísticos Métodos Probabilísticos Probabilidade de Falha Soft soil Deterministic Methods Probabilistic Methods Failure Probability |
title_short |
Probability Analysis of Embankment on Soft Soil |
title_full |
Probability Analysis of Embankment on Soft Soil |
title_fullStr |
Probability Analysis of Embankment on Soft Soil |
title_full_unstemmed |
Probability Analysis of Embankment on Soft Soil |
title_sort |
Probability Analysis of Embankment on Soft Soil |
author |
Falcão, Patrícia Rodrigues |
author_facet |
Falcão, Patrícia Rodrigues Fagundes, Diego de Freitas Alves, Antônio Marcos de Lima |
author_role |
author |
author2 |
Fagundes, Diego de Freitas Alves, Antônio Marcos de Lima |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Falcão, Patrícia Rodrigues Fagundes, Diego de Freitas Alves, Antônio Marcos de Lima |
dc.subject.por.fl_str_mv |
Solos moles Métodos Determinísticos Métodos Probabilísticos Probabilidade de Falha Soft soil Deterministic Methods Probabilistic Methods Failure Probability |
topic |
Solos moles Métodos Determinísticos Métodos Probabilísticos Probabilidade de Falha Soft soil Deterministic Methods Probabilistic Methods Failure Probability |
description |
No model correctly predicts a given system's reality, so that the engineering calculations have uncertainties, which may cause several kinds of errors. The constructions on soft clay deposits present a high difficulty due to such soil's high compressibility and low resistance. The geotechnical designs of embankments on soft soils are traditionally analyzed using a global safety factor obtained through deterministic methods, not incorporating the calculation's inherent uncertainties. On the other hand, the probabilistic approach makes it possible to quantify the uncertainties arising from the parameters' variability and the more comprehensive assessment of the expected safety level for the work through the probability of failure. In this way, it is possible to untie the idea that high safety factor values always guarantee safer projects. In this context, this study aims to compare the solutions obtained by the Probabilistic Methods of Rosenblueth, Monte Carlo, Latin Hypercube, and First Order Second Moment (FOSM), in addition to evaluating the results by means of a deterministic approach using the methods of Bishop Simplified, Janbu Simplified, Spencer and Morgenstern & Price. Stability analyses were performed using the Slide v.6 computational tool. The analyses show the importance of introducing the coefficient of variation in the parameters since the uncertainty directly affects the level of performance expected for the work. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-04-22 |
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://periodicos.furg.br/vetor/article/view/12905 10.14295/vetor.v30i1.12905 |
url |
https://periodicos.furg.br/vetor/article/view/12905 |
identifier_str_mv |
10.14295/vetor.v30i1.12905 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://periodicos.furg.br/vetor/article/view/12905/8678 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2021 VETOR - Revista de Ciências Exatas e Engenharias info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2021 VETOR - Revista de Ciências Exatas e Engenharias |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Universidade Federal do Rio Grande |
publisher.none.fl_str_mv |
Universidade Federal do Rio Grande |
dc.source.none.fl_str_mv |
VETOR - Journal of Exact Sciences and Engineering; Vol. 30 No. 1 (2020); 38-48 VETOR - Revista de Ciências Exatas e Engenharias; v. 30 n. 1 (2020); 38-48 2358-3452 0102-7352 reponame:Vetor (Online) instname:Universidade Federal do Rio Grande (FURG) instacron:FURG |
instname_str |
Universidade Federal do Rio Grande (FURG) |
instacron_str |
FURG |
institution |
FURG |
reponame_str |
Vetor (Online) |
collection |
Vetor (Online) |
repository.name.fl_str_mv |
Vetor (Online) - Universidade Federal do Rio Grande (FURG) |
repository.mail.fl_str_mv |
gmplatt@furg.br |
_version_ |
1797041761781022720 |