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dc.contributor.author
Ledesma, Osvaldo Nicolas
dc.contributor.author
Manzanal, Diego
dc.contributor.author
Sfriso, Alejo Oscar Sfriso
dc.date.available
2022-10-18T10:12:16Z
dc.date.issued
2021-07
dc.identifier.citation
Ledesma, Osvaldo Nicolas; Manzanal, Diego; Sfriso, Alejo Oscar Sfriso; Formulation and numerical implementation of a state parameter-based generalized plasticity model for mine tailings; Elsevier; Computers And Geotechnics; 135; 7-2021; 1-12
dc.identifier.issn
0266-352X
dc.identifier.uri
http://hdl.handle.net/11336/173660
dc.description.abstract
Mine tailings are rock flour that is generally deposited in tailings dams. When deposited in a loose and saturated state, the tailings are prone to flow liquefaction. Simulating the onset of liquefaction and the post-liquefaction behavior of tailings has therefore become an essential aspect in geotechnical engineering of tailings dams. Several analysis procedures have been developed to address this problem, most of them employing the state parameter ψ as the key indicator of material behavior. The use of numerical deformation modelling for addressing the onset of flow liquefaction is increasingly practiced. Therefore, constitutive models, which are based on the state parameter and can simulate a wide range of stress paths, are demanded by the industry. This paper presents the formulation of an extension of a generalized plasticity model that is based on the state parameter and that simulates liquefaction within a critical state framework. As such, it is attractive for modelling loose tailings. The model is extended to the general 3D stress space and implemented by using an implicit integration scheme as a user model in Plaxis. This paper describes the set up and calibration of the model based on a set of laboratory tests on tailings and includes a numerical exercise proving the consistency and robustness of the formulation.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Elsevier
dc.rights
info:eu-repo/semantics/restrictedAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
GENERALIZED PLASTICITY
dc.subject
IMPLICIT INTEGRATION
dc.subject
LIQUEFACTION
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STATE PARAMETER
dc.subject
TAILINGS
dc.subject.classification
Otras Ingeniería Civil
dc.subject.classification
Ingeniería Civil
dc.subject.classification
INGENIERÍAS Y TECNOLOGÍAS
dc.title
Formulation and numerical implementation of a state parameter-based generalized plasticity model for mine tailings
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2022-09-21T23:58:42Z
dc.journal.volume
135
dc.journal.pagination
1-12
dc.journal.pais
Países Bajos
dc.journal.ciudad
Amsterdam
dc.description.fil
Fil: Ledesma, Osvaldo Nicolas. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Tecnologías y Ciencias de la Ingeniería "Hilario Fernández Long". Universidad de Buenos Aires. Facultad de Ingeniería. Instituto de Tecnologías y Ciencias de la Ingeniería "Hilario Fernández Long"; Argentina. Universidad de Buenos Aires; Argentina
dc.description.fil
Fil: Manzanal, Diego. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Tecnologías y Ciencias de la Ingeniería "Hilario Fernández Long". Universidad de Buenos Aires. Facultad de Ingeniería. Instituto de Tecnologías y Ciencias de la Ingeniería "Hilario Fernández Long"; Argentina. Universidad Politécnica de Madrid; España
dc.description.fil
Fil: Sfriso, Alejo Oscar Sfriso. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Tecnologías y Ciencias de la Ingeniería "Hilario Fernández Long". Universidad de Buenos Aires. Facultad de Ingeniería. Instituto de Tecnologías y Ciencias de la Ingeniería "Hilario Fernández Long"; Argentina. Universidad de Buenos Aires; Argentina
dc.journal.title
Computers And Geotechnics
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/abs/pii/S0266352X21001622
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1016/j.compgeo.2021.104158
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