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dc.contributor.author
Ledesma, Osvaldo
dc.contributor.author
Sfriso, Alejo Oscar Sfriso

dc.contributor.author
Manzanal, Diego

dc.date.available
2023-08-18T14:37:38Z
dc.date.issued
2022-04
dc.identifier.citation
Ledesma, Osvaldo; Sfriso, Alejo Oscar Sfriso; Manzanal, Diego; Procedure for assessing the liquefaction vulnerability of tailings dams; Elsevier; Computers And Geotechnics; 144; 4-2022; 1-16
dc.identifier.issn
0266-352X
dc.identifier.uri
http://hdl.handle.net/11336/208722
dc.description.abstract
This paper presents a procedure to assess the vulnerability of tailings dams to failure due to flow liquefaction. Vulnerability is understood as the inability of a system to resist adverse actions. The procedure uses a numerical model to verify if a set of actions that induce undrained shear in the tailings would result in a progressive failure and instability of the system. The procedure is tested by applying it to the well-documented Fundão Dam failure. The undrained behavior of loose tailings, including the onset of liquefaction and post-peak loss of strength, are simulated using the state parameter-based constitutive model, Modified Pastor-Zienkiewicz (MPZ), implemented as a user-defined model in Plaxis. Three actions are analyzed that cover most of the stress paths leading to the failure of tailings dams as geotechnical structures: (i) a surface load applied on the crest of the dam; (ii) a horizontal deformation at the toe, and (iii) a rise in the phreatic surface within the tailings. These three actions were applied to the Fundão Dam case and used to evaluate the vulnerability of two relevant configurations in the dam's history. This example is intended to illustrate that the proposed procedure can be used to assess the vulnerability of tailings dam failure to flow liquefaction using currently available modelling tools and standard laboratory and field characterization. While not part of the proposed actions, an additional analysis was conducted to assess the Fundão Dam's response to the failure mechanism identified in the post-failure report.
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
DEFORMATION MODELLING
dc.subject
FLOW LIQUEFACTION
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FUNDÃO DAM
dc.subject
VULNERABILITY
dc.subject.classification
Otras Ingeniería Civil

dc.subject.classification
Ingeniería Civil

dc.subject.classification
INGENIERÍAS Y TECNOLOGÍAS

dc.title
Procedure for assessing the liquefaction vulnerability of tailings dams
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2023-07-07T23:04:00Z
dc.journal.volume
144
dc.journal.pagination
1-16
dc.journal.pais
Países Bajos

dc.journal.ciudad
Amsterdam
dc.description.fil
Fil: Ledesma, Osvaldo. Universidad de Buenos Aires. Facultad de Ingeniería; Argentina
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. Facultad de Ingeniería; Argentina. Srk Consulting; 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.journal.title
Computers And Geotechnics

dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S0266352X22000027
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1016/j.compgeo.2022.104632
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