An improvement to continuous random walk model for sediment diffusion in inhomogeneous turbulent flows

被引:0
|
作者
Wenxin Li
Huabin Shi
Xiping Yu
机构
[1] Tsinghua University,Department of Hydraulic Engineering
[2] University of Macau,State Key Laboratory of Internet of Things for Smart City and Department of Ocean Science and Technology
[3] Southern University of Science and Technology,Department of Ocean Science and Engineering
来源
关键词
Euler–Lagrange model; Sediment motion; Inhomogeneous turbulent flows; Continuous random walk; Drift velocity;
D O I
暂无
中图分类号
学科分类号
摘要
Motion of sediment particles in turbulent flows is usually a problem including multi-scale particle-turbulence interactions and is still far from being clearly understood. In this paper, an improved numerical method is proposed to describe the particle diffusion in inhomogeneous turbulent flows, in which the fluid motion is solved by the Reynolds-Averaged Navier–Stokes (RANS) equations while the particles are tracked with a Lagrange approach. For dilute problems, not only the inter-particle interactions but also the influence of particles on the fluid turbulence are all omitted. To simulate the stochastic motion of the sediment particles, a modified continuous random walk (CRW) model is employed, in which a highly effective correction to the particle drift is suggested to account for the effect of particle inertia. Enhancement of the particle velocity fluctuation due to vortex shedding in the particle wake is also taken into consideration. The model is then successfully verified through applying to the particle diffusion in steady turbulent pipe flows and to the suspension of neutrally buoyant as well as natural sediments in steady open-channel flows. The computational results are demonstrated to be in good agreement with the experimental data.
引用
收藏
页码:779 / 797
页数:18
相关论文
共 50 条
  • [31] Continuous-time random walk theory of superslow diffusion
    Denisov, S. I.
    Kantz, H.
    EPL, 2010, 92 (03)
  • [32] Probability model for gravel sediment entrainment in turbulent flows
    Ma, Jianmin M.
    Xu, Dong
    Bai, Yuchuan C.
    Williams, John J. R.
    JOURNAL OF HYDRO-ENVIRONMENT RESEARCH, 2013, 7 (03) : 154 - 160
  • [33] Development of a continuous model for simulation of turbulent flows
    Hussaini, MY
    Thangam, S
    Woodruff, SL
    Zhou, Y
    JOURNAL OF APPLIED MECHANICS-TRANSACTIONS OF THE ASME, 2006, 73 (03): : 441 - 448
  • [34] Development of a continuous model for simulation of turbulent flows
    Hussaini, M. Yousuff
    Thangam, Siva
    Woodruff, Stephen L.
    Zhou, Ye
    Journal of Applied Mechanics, Transactions ASME, 2006, 73 (03): : 441 - 448
  • [35] MODEL FOR TURBULENT-DIFFUSION IN SHEAR FLOWS
    KAO, SK
    BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY, 1976, 57 (05) : 639 - 639
  • [36] Random walk models for particle diffusion in free-shear flows
    Bocksell, TL
    Loth, E
    AIAA JOURNAL, 2001, 39 (06) : 1086 - 1096
  • [37] Random walk, diffusion and mixing in simulations of scalar transport in fluid flows
    Klimenko, A. Y.
    PHYSICA SCRIPTA, 2008, T132
  • [38] Interspike Interval Distribution for a Continuous-time Random Walk Model of Neurons in the Diffusion Limit
    Paekivi, S.
    Mankin, R.
    Rekker, A.
    APPLICATION OF MATHEMATICS IN TECHNICAL AND NATURAL SCIENCES (AMITANS'18), 2018, 2025
  • [39] Continuous time random walk model as a model of anomalous relaxation
    Gomi, S
    Yonezawa, F
    JOURNAL OF NON-CRYSTALLINE SOLIDS, 1996, 200 : 521 - 524
  • [40] EXTENSION OF GRADIENT-TYPE TRANSPORT TO TURBULENT-DIFFUSION IN INHOMOGENEOUS FLOWS
    KRANENBURG, C
    APPLIED SCIENTIFIC RESEARCH, 1977, 33 (02): : 163 - 175