Su Bin

Sex:Male

Date of Birth:1995-03-27

Alma Mater:Central South University

Education Level:Postgraduate (Master's Degree)

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Honors and Titles:

2022-12-06 elected: 2022年湖南省优秀硕士学位论文

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Exploring debris-flow dynamics under basal friction: Insights from an enhanced 3D-SPH coulomb–viscoplastic sliding boundary

Release time:2025-05-04 Hits:

DOI number:10.1016/j.compgeo.2025.107317

Journal:Computers and Geotechnics

Key Words:Debris flow; Basal friction; SPH; Coulomb-viscoplastic model; Boundary condition

Abstract:Basal friction is fundamental to understanding debris-flow behavior as it strongly influences transport dynamics, energy dissipation, and sediment deposition on rough channel beds. Although frictional effects are well addressed in mesh-based continuum models, incorporating them into Lagrangian particle based frameworks remains challenging due to complex interfacial interactions and truncation errors. To bridge this gap, we integrate the Coulomb-Viscoplastic Sliding Boundary (CVSB) into a 3D-SPH scheme, enabling adaptive capture of sliding behavior and enhancing simulation accuracy over rough channels. Unlike conventional no-slip treatment, the CVSB explicitly incorporates basal friction via a friction coefficient and prescribes a pressure- and deformation dependent sliding velocity, in accordance with Coulomb friction laws and debris-flow rheology. The newly developed CVSB is embedded in a modified Dynamic Boundary Condition (mDBC) framework and integrated into our existing HBP-SPH model. Validation against a series of full-scale flume experiments with varying surface configurations demonstrates that the CVSB-based SPH model accurately reproduces experimental observations, including flow-front evolution, propagation velocity profile, and runout areas. Sensitivity analyses further reveal that higher basal friction amplifies debris-flow responsiveness to rheological fluctuations, underscoring its potential impact on the relative contributions of inertial and viscous effects in debris-flow motion. Overall, the proposed model demonstrates significant potential for improving disaster mitigation strategies by providing enhanced predictions of flow propagation and deposition.

Note:中科院一区、TOP期刊

Co-author:(中科院一区、TOP期刊) Su Bin, Han Zheng, Ma Yangfan (Corresponding author), Li Yange, Ding Haohui, Chen Guangqi

Indexed by:Journal paper

Document Code:107317

Volume:185

Page Number:107317

Translation or Not:no

Date of Publication:2025-04-30

Included Journals:SCI

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