Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/118431
| DC Field | Value | Language |
|---|---|---|
| dc.contributor | Department of Civil and Environmental Engineering | - |
| dc.contributor | Research Institute for Land and Space | - |
| dc.creator | Feng, H | en_US |
| dc.creator | Yin, ZY | en_US |
| dc.date.accessioned | 2026-04-15T02:04:53Z | - |
| dc.date.available | 2026-04-15T02:04:53Z | - |
| dc.identifier.issn | 0020-7403 | en_US |
| dc.identifier.uri | http://hdl.handle.net/10397/118431 | - |
| dc.language.iso | en | en_US |
| dc.publisher | Elsevier Ltd | en_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.rights | The 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.subject | Bed-load | en_US |
| dc.subject | Constitutive model | en_US |
| dc.subject | Geomechanics | en_US |
| dc.subject | Material point method | en_US |
| dc.subject | Surface erosion | en_US |
| dc.subject | Suspended-load | en_US |
| dc.title | Soil surface erosion simulation using material point method | en_US |
| dc.type | Journal/Magazine Article | en_US |
| dc.identifier.volume | 316 | en_US |
| dc.identifier.doi | 10.1016/j.ijmecsci.2026.111470 | en_US |
| dcterms.abstract | Existing 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.abstract | Graphical abstract: [Figure not available: see fulltext.] | - |
| dcterms.accessRights | open access | en_US |
| dcterms.bibliographicCitation | International journal of mechanical sciences, 15 Apr. 2026, v. 316, 111470 | en_US |
| dcterms.isPartOf | International journal of mechanical sciences | en_US |
| dcterms.issued | 2026-04-15 | - |
| dc.identifier.scopus | 2-s2.0-105032364710 | - |
| dc.identifier.eissn | 1879-2162 | en_US |
| dc.identifier.artn | 111470 | en_US |
| dc.description.validate | 202604 bcch | - |
| dc.description.oa | Version of Record | en_US |
| dc.identifier.FolderNumber | OA_TA | - |
| dc.description.fundingSource | RGC | en_US |
| dc.description.fundingSource | Others | en_US |
| dc.description.fundingText | This 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.pubStatus | Published | en_US |
| dc.description.TA | Elsevier (2026) | en_US |
| dc.description.oaCategory | TA | en_US |
| Appears in Collections: | Journal/Magazine Article | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 1-s2.0-S0020740326003255-main.pdf | 8.56 MB | Adobe PDF | View/Open |
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