Abstract
Owing to its simplicity and computational efficiency, the lattice Boltzmann method has recently been utilized in simulating morphodynamic processes. However, a limitation is that the supercritical flows cannot be simulated stably. In order to overcome this deficiency, a coupled mesoscopic modelling framework is proposed, where a discrete Boltzmann model is used for hydrodynamic modeling, while the standard lattice Boltzmann model is adopted for morphodynamic simulation. Numerically, the non-oscillatory and non-free-parameter dissipation scheme is employed to solve the discrete Boltzmann model, while the classical stream-collision scheme is kept for the lattice Boltzmann part. A series of classical one-dimensional and two-dimensional test cases was conducted to evaluate the proposed model. The findings demonstrate its capability to reliably and accurately simulate morphodynamic evolution across both subcritical and supercritical flow regimes. © 2025 Author(s).
| Original language | English |
|---|---|
| Article number | 106611 |
| Number of pages | 16 |
| Journal | Physics of Fluids |
| Volume | 37 |
| Issue number | 10 |
| Online published | 14 Oct 2025 |
| DOIs | |
| Publication status | Published - Oct 2025 |
Funding
This research is partially supported by Qin Chuang Yuan high-level innovation and entrepreneurship talent project (No. QCYRCXM2023-099), Inner Mongolia Department of Science and Technology 2024 major projects to prevent and control sand demonstration ‘unveiled marshal’ project (No. 2024JBGS0016), National Foreign Expert Program (No. H20240398), and Xianyang Science and Technology Bureau (No. L2024-ZDYF-ZDYF-SF-0042).
Publisher's Copyright Statement
- COPYRIGHT TERMS OF DEPOSITED FINAL PUBLISHED VERSION FILE: This article may be downloaded for personal use only. Any other use requires prior permission of the author and AIP Publishing. This article appeared in Yong Peng, Shuai Yuan, Xinkuan Li, Jianping Meng, Xianfei Yin; A coupled mesoscopic modeling framework for simulating hydro-morphodynamic evolution. Physics of Fluids 1 October 2025; 37 (10): 106611 and may be found at https://doi.org/10.1063/5.0292495.
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