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dc.contributor.authorMostafa, Hoda H.
dc.contributor.authorEl-Naggar, Hayel M.
dc.date.accessioned2022-10-04T12:17:26Z
dc.date.available2022-10-04T12:17:26Z
dc.date.issued2022-10-03
dc.identifier.urihttps://hdl.handle.net/1721.1/145654
dc.description.abstractAbstract The material point method (MPM) is recently considered a powerful tool in analyzing slope failures because of its capability to model the progressive failure of slopes as well as handling problems that involve large deformations. In this study, the failure of Fundão Dam, which took place in November 2015 in Brazil, induced by static liquefaction is analyzed using the MPM. The MPM code Anura3D is used to predict the dam slope progressive failure and to simulate the large deformations produced post-failure. The failure wedge obtained from MPM analysis of this study is compared with the failure surfaces obtained from the limit equilibrium analysis (LEA) provided by two independent studies carried out on Fundão Dam slope. The failure wedge obtained from the MPM shows good agreement to the pre-defined failure surfaces obtained from LEA. However, the MPM has a great advantage over the LEA in simulating the mode of failure and in modeling the large deformations that took place upon failure. The only drawback of the MPM approach is that it does not provide a value for safety factor against failure; however, the new approach is still underdeveloped and could be easily enhanced to provide a unified analysis tool for slope stability problems.en_US
dc.publisherSpringer International Publishingen_US
dc.relation.isversionofhttps://doi.org/10.1007/s41062-022-00953-2en_US
dc.rightsArticle is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.en_US
dc.sourceSpringer International Publishingen_US
dc.titleMaterial point method for modeling the static liquefaction-induced Fundão Dam failureen_US
dc.typeArticleen_US
dc.identifier.citationInnovative Infrastructure Solutions. 2022 Oct 03;7(6):346en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Civil and Environmental Engineeringen_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2022-10-04T03:22:57Z
dc.language.rfc3066en
dc.rights.holderSpringer Nature Switzerland AG
dspace.embargo.termsY
dspace.date.submission2022-10-04T03:22:57Z
mit.licensePUBLISHER_POLICY
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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