Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/117752
DC FieldValueLanguage
dc.contributorDepartment of Civil and Environmental Engineeringen_US
dc.creatorZhan, ZQen_US
dc.creatorZhou, Cen_US
dc.creatorLiu, CQen_US
dc.date.accessioned2026-03-05T07:50:53Z-
dc.date.available2026-03-05T07:50:53Z-
dc.identifier.issn0266-352Xen_US
dc.identifier.urihttp://hdl.handle.net/10397/117752-
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.subjectLandslidesen_US
dc.subjectNumerical modellingen_US
dc.subjectPartial saturationen_US
dc.subjectSlopesen_US
dc.subjectSurface wateren_US
dc.titleAn MPM-FDM coupled method for landslide analysis considering surface-subsurface conjugated water flowen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume189en_US
dc.identifier.doi10.1016/j.compgeo.2025.107618en_US
dcterms.abstractThe material point method (MPM) can effectively simulate large deformation problems involving hydro-mechanical coupling, such as rainfall-induced landslides. Current MPM formulations simulate rainfall boundaries by applying either pore water pressure or velocity boundaries directly. This method does not incorporate the effects of surface water ponding and runoff during heavy rainfall. To address this problem, this study proposes a coupled method that integrates the MPM with the finite difference method (FDM) for hydro-mechanical analysis. Underground water flow is modelled using a two-phase, two-point MPM with the Richards equation, while surface water flow is computed by FDM based on shallow water equations. The two models are coupled: the FDM provides the surface water flow velocity and pore water pressure for subsurface flow simulation in the MPM, while the MPM supplies the surface infiltration rate for surface water flow simulation in the FDM. The new method was validated against existing numerical simulations and centrifuge tests. It was found that the new method can effectively capture the interactions between surface and subsurface flows, as well as the shallow landslide involving surface erosion or washout, which existing MPM codes cannot simulate. Parametric studies further reveal that neglecting the coupling effects of surface–subsurface flow predicts deeper sliding surfaces and longer rainfall durations to failure due to the ignorance of surface ponding and positive pore water pressure at the ground surface. Considering surface water flow tends to shift the failure mode from “slide-to-flow” to “flow-like”, especially when slope angle is larger and soil permeability is lower.en_US
dcterms.accessRightsembargoed accessen_US
dcterms.bibliographicCitationComputers and geotechnics, Jan. 2026, v. 189, 107618en_US
dcterms.isPartOfComputers and geotechnicsen_US
dcterms.issued2026-01-
dc.identifier.scopus2-s2.0-105015047676-
dc.identifier.eissn1873-7633en_US
dc.identifier.artn107618en_US
dc.description.validate202603 bchyen_US
dc.description.oaNot applicableen_US
dc.identifier.SubFormIDG001072/2026-02-
dc.description.fundingSourceRGCen_US
dc.description.fundingSourceOthersen_US
dc.description.fundingTextThe authors would like to thank the Hong Kong Research Grants Council for providing financial support through grant AoE/E-603/18. This work was also supported by RICRI of PolyU under N-ZH8Q . Chuanqi Liu is supported by the One Hundred Talents Program of the Chinese Academy of Sciences and the National Natural Science Foundation of China (No. 12172368 ).en_US
dc.description.pubStatusPublisheden_US
dc.date.embargo2028-01-31en_US
dc.description.oaCategoryGreen (AAM)en_US
Appears in Collections:Journal/Magazine Article
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Embargo End Date 2028-01-31
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