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dc.contributor.authorCosta, Katherin Rocio Cano Bezerra dapt_BR
dc.contributor.authorDantas, Ana Paola do Nascimentopt_BR
dc.contributor.authorCavalcante, André Luís Brasilpt_BR
dc.contributor.authorAssis, André Pacheco dept_BR
dc.date.accessioned2026-08-27T12:29:15Z-
dc.date.available2026-08-27T12:29:15Z-
dc.date.issued2023-10-25pt_BR
dc.identifier.citationCOSTA, Katherin Rocio Cano Bezerra da et al. Probabilistic approach to transient unsaturated slope stability associated with precipitation event. Sustainability, [S. l.], v. 15, n. 21, 15260, 2023. DOI: https://doi.org/10.3390/su152115260. Disponível em: https://www.mdpi.com/2071-1050/15/21/15260. Acesso em: 24 ago 2026.pt_BR
dc.identifier.urihttps://doi.org/10.3390/su152115260pt_BR
dc.identifier.urihttp://repositorio.unb.br/handle/10482/55738-
dc.language.isoengpt_BR
dc.publisherMDPI AGpt_BR
dc.rightsAcesso Abertopt_BR
dc.titleProbabilistic approach to transient unsaturated slope stability associated with precipitation eventpt_BR
dc.typeArtigopt_BR
dc.subject.keywordEstabilidade de encostaspt_BR
dc.subject.keywordSolos não saturados-
dc.subject.keywordProbabilidade de falha-
dc.rights.licenseThis article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/ 4.0/)pt_BR
dc.identifier.doihttps://doi.org/10.3390/su152115260pt_BR
dc.description.abstract1The massif rupture is not always reached under saturated conditions; therefore, the analysis of the unsaturated phenomenon is necessary in some cases. This study performed a probabilistic approach for unsaturated and transient conditions to understand the contribution of physical and hydraulic parameters involved in slope stability. The proposed slope stability model was based on the infinite slope method and a new unsaturated constitutive shear strength model proposed in 2021 by Cavalcante and Mascarenhas. The first-order second-moment method, which incorporated multiple stochastic variables, was used in the probabilistic analysis, allowing the incorporation of seven independent variables for the probability of failure analysis as well as for quantifying the contribution of the variables to the total variance of a factor of safety at any state of moisture. This implementation allows a more realistic estimative for the probability of failure, showing in a practical way the decrease and increase of the probability of failure during a rain event. The model provided promising results highlighting the need to migrate from deterministic analyses to more robust probabilistic analyses, considering the most significant number of stochastic variables. The proposed model helps to understand the influence of moisture content on slope stability, being a possible tool in natural disaster risk management.pt_BR
dc.identifier.orcidhttps://orcid.org/0000-0003-4980-1450pt_BR
dc.contributor.affiliationUniversity of Brasília, Department of Civil and Environmental Engineeringpt_BR
dc.contributor.affiliationUniversity of Brasília, Department of Civil and Environmental Engineeringpt_BR
dc.contributor.affiliationUniversity of Brasília, Department of Civil and Environmental Engineeringpt_BR
dc.contributor.affiliationUniversity of Brasília, Department of Civil and Environmental Engineeringpt_BR
dc.description.unidadeFaculdade de Tecnologia (FT)pt_BR
dc.description.unidadeDepartamento de Engenharia Civil e Ambiental (FT ENC)pt_BR
dc.description.ppgPrograma de Pós-Graduação em Geotecnia-
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