Investigation of fluid flow-induced particle migration in granular filters using a DEM-CFD method

• Published in: Journal of hydrodynamics. Series B Vol. 26; no. 3; pp. 406 - 415
• Main Author: 黄青富 詹美礼 盛金昌 罗玉龙 速宝玉
• Format: Journal Article
• Language: English
• Published: Singapore Elsevier Ltd 01.07.2014; Springer Singapore
• Subjects: base soil-filter system; CFD方法; Computational fluid dynamics; distinct element method; Dynamical systems; Dynamics; Engineering; Engineering Fluid Dynamics; Filters (fluid); Fluid flow; Fluids; Freshwater; Hydrology/Water Resources; Mathematical models; Numerical and Computational Physics; representative particle size ratio; Simulation; Soil (material); trapped ratio; 土壤颗粒; 时间演变; 流体流动; 粒子迁移; 计算流体动力学; 过滤系统; 颗粒过滤器; distinct element method; base soil-filter system; trapped ratio; representative particle size ratio
• ISSN: 1001-6058; 1878-0342
• DOI: 10.1016/S1001-6058(14)60046-9

In embankments and earth dams, the granular filter used to protect the base soil from being eroded by the fluid flow is a major safety device. In this paper, the migration mechanism of the base soil through this type of filters with a fluid flow in the base soil-filter system is studied by using the coupled distinct element method and computational fluid dynamics (DEM-CFD) model. The time-dependent variations of the system parameters such as the total eroded base soil mass, the distribution of the eroded particles within the filter, the porosity, the pore water pressure, and the flow discharge are obtained and analyzed. The conceptions of the trapped particle and the trapped ratio are proposed in order to evaluate the trapped condition of the base soil particles in the filter. The variation of the trapped ratio with time is also analyzed. The results show that the time evolutions of the parameters mentioned above are directly related to the gradation of the filter, which is defined as the representative particle size ratio of the base soil to the filter using an empirical filter design criterion. The feasibility of the model is validated by comparing the numerical results with some experimental and numerical results.