Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/118431
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dc.contributorDepartment of Civil and Environmental Engineering-
dc.contributorResearch Institute for Land and Space-
dc.creatorFeng, Hen_US
dc.creatorYin, ZYen_US
dc.date.accessioned2026-04-15T02:04:53Z-
dc.date.available2026-04-15T02:04:53Z-
dc.identifier.issn0020-7403en_US
dc.identifier.urihttp://hdl.handle.net/10397/118431-
dc.language.isoenen_US
dc.publisherElsevier Ltden_US
dc.rights© 2026 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY license ( http://creativecommons.org/licenses/by/4.0/ ).en_US
dc.rightsThe following publication Feng, H., & Yin, Z.-Y. (2026). Soil surface erosion simulation using material point method. International Journal of Mechanical Sciences, 316, 111470 is available at https://doi.org/10.1016/j.ijmecsci.2026.111470.en_US
dc.subjectBed-loaden_US
dc.subjectConstitutive modelen_US
dc.subjectGeomechanicsen_US
dc.subjectMaterial point methoden_US
dc.subjectSurface erosionen_US
dc.subjectSuspended-loaden_US
dc.titleSoil surface erosion simulation using material point methoden_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume316en_US
dc.identifier.doi10.1016/j.ijmecsci.2026.111470en_US
dcterms.abstractExisting continuum-based soil surface erosion modeling has primarily focused on one-phase Eulerian methods, while the use of Lagrangian particle methods, particularly the Material Point Method (MPM), remains limited. Although two-phase MPM formulations for soil-water coupling have been developed, they typically employ conventional elastoplastic soil models that fail to capture the complex soil behavior involving transitions from a static bed to bed-load and suspended-load states. Furthermore, rigorous experimental validation and detailed comparative assessments of MPM for soil surface erosion remain scarce and underexplored. To address these gaps, this study applies the explicit two-phase two-point MPM algorithm to model the soil surface erosion. By employing dual sets of Lagrangian material points on a shared Eulerian grid, the approach effectively resolves soil-fluid interactions during erosion. An effective inflow/outflow boundary algorithm is proposed, enabling the addition and removal of water particles at the boundaries to achieve an efficient fluid boundary. Furthermore, a unified state-dependent constitutive framework for soil-solid is proposed, incorporating an elastoplasticity-μ(I) solid-to-fluid transition constitutive relation and an equation of state. The former captures the nonlinear solid-to-fluid transition behavior of bed-load particles, while the latter describes suspended-load particles. The proposed MPM model is validated against a series of benchmark problems, including dam break, water injection, wall-jet erosion, overtopping erosion, and tsunami overflow erosion scenarios. Comparative analysis demonstrates that the proposed MPM-based surface erosion model accurately captures the soil-fluid interface, bed-load, and suspended-load particle evolution in surface erosion without empirical erosion criteria.-
dcterms.abstractGraphical abstract: [Figure not available: see fulltext.]-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationInternational journal of mechanical sciences, 15 Apr. 2026, v. 316, 111470en_US
dcterms.isPartOfInternational journal of mechanical sciencesen_US
dcterms.issued2026-04-15-
dc.identifier.scopus2-s2.0-105032364710-
dc.identifier.eissn1879-2162en_US
dc.identifier.artn111470en_US
dc.description.validate202604 bcch-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_TA-
dc.description.fundingSourceRGCen_US
dc.description.fundingSourceOthersen_US
dc.description.fundingTextThis research is financially supported by the Research Grants Council (RGC) of Hong Kong Special Administrative Region Government (HKSARG) of China (Grant No.: T22-607/24-N, 15226322, 15229223, 15232224), and by the State Key Laboratory of Climate Resilience for Coastal Cities at the Hong Kong Polytechnic University.en_US
dc.description.pubStatusPublisheden_US
dc.description.TAElsevier (2026)en_US
dc.description.oaCategoryTAen_US
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