Divergence-Free SPH for Incompressible and Viscous Fluids

被引:103
作者
Bender, Jan [1 ]
Koschier, Dan [1 ]
机构
[1] Tech Univ Darmstadt, Grad Sch CE, D-64289 Darmstadt, Germany
关键词
Fluid simulation; smoothed particle hydrodynamics; divergence-free fluids; incompressibility; viscous fluids; implicit integration; PARTICLE; SIMULATION; ANIMATION;
D O I
10.1109/TVCG.2016.2578335
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
In this paper we present a novel Smoothed Particle Hydrodynamics (SPH) method for the efficient and stable simulation of incompressible fluids. The most efficient SPH-based approaches enforce incompressibility either on position or velocity level. However, the continuity equation for incompressible flow demands to maintain a constant density and a divergence-free velocity field. We propose a combination of two novel implicit pressure solvers enforcing both a low volume compression as well as a divergence-free velocity field. While a compression-free fluid is essential for realistic physical behavior, a divergence-free velocity field drastically reduces the number of required solver iterations and increases the stability of the simulation significantly. Thanks to the improved stability, our method can handle larger time steps than previous approaches. This results in a substantial performance gain since the computationally expensive neighborhood search has to be performed less frequently. Moreover, we introduce a third optional implicit solver to simulate highly viscous fluids which seamlessly integrates into our solver framework. Our implicit viscosity solver produces realistic results while introducing almost no numerical damping. We demonstrate the efficiency, robustness and scalability of our method in a variety of complex simulations including scenarios with millions of turbulent particles or highly viscous materials.
引用
收藏
页码:1193 / 1206
页数:14
相关论文
共 50 条
  • [31] An improved KGF-SPH with a novel discrete scheme of Laplacian operator for viscous incompressible fluid flows
    Huang, C.
    Lei, J. M.
    Liu, M. B.
    Peng, X. Y.
    INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN FLUIDS, 2016, 81 (06) : 377 - 396
  • [32] An Implicit SPH Formulation for Incompressible Linearly Elastic Solids
    Peer, Andreas
    Gissler, Christoph
    Band, Stefan
    Teschner, Matthias
    COMPUTER GRAPHICS FORUM, 2018, 37 (06) : 135 - 148
  • [33] Pressure boundary conditions for computing incompressible flows with SPH
    Hosseini, S. Majid
    Feng, James J.
    JOURNAL OF COMPUTATIONAL PHYSICS, 2011, 230 (19) : 7473 - 7487
  • [34] The SPH equations for fluids
    Vaughan, G. L.
    INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING, 2009, 79 (11) : 1392 - 1418
  • [35] FEM simulation of non-stationary incompressible viscous fluids
    Tralli, Aldo
    Gaudenzi, Paolo
    ENGINEERING COMPUTATIONS, 2006, 23 (7-8) : 922 - 932
  • [36] NUMERICAL SIMULATION OF FREE SURFACE MUDFLOW USING INCOMPRESSIBLE SPH
    Ghadampour, Z.
    Talebbeydokhti, N.
    Hashemi, M. R.
    Nikseresht, A. H.
    Neill, S. P.
    IRANIAN JOURNAL OF SCIENCE AND TECHNOLOGY-TRANSACTIONS OF CIVIL ENGINEERING, 2013, 37 (C1) : 77 - 95
  • [37] Position explicit and iterative implicit consistent incompressible SPH methods for free surface flow
    Farzin, Saeed
    Fatehi, Rouhollah
    Hassanzadeh, Yousef
    COMPUTERS & FLUIDS, 2019, 179 : 52 - 66
  • [38] A robust weakly compressible SPH method and its comparison with an incompressible SPH
    Shadloo, Mostafa Safdari
    Zainali, Amir
    Yildiz, Mehmet
    Suleman, Afzal
    INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING, 2012, 89 (08) : 939 - 956
  • [39] A Divergence-Free Immersed Boundary Method and Its Finite Element Applications
    Zhou, Chuan
    Li, Jianhua
    Wang, Huaan
    Mu, Kailong
    Zhao, Lanhao
    JOURNAL OF MECHANICS, 2020, 36 (06) : 901 - 914
  • [40] Simulation of a laboratory-scale experiment for wave propagation and interaction with a structure of undersea topography near a nuclear power plant using a divergence-free SPH
    Park, So-Hyun
    Choi, Tae Soo
    Choi, Hae Yoon
    Jo, Young Beom
    Kim, Eung Soo
    ANNALS OF NUCLEAR ENERGY, 2018, 122 : 340 - 351