An Efficient Sleepy Algorithm for Particle-Based Fluids

被引:0
|
作者
Nie, Xiao [1 ,2 ]
Chen, Leiting [1 ,2 ]
Xiang, Tao [1 ]
机构
[1] Univ Elect Sci & Technol China, Sch Comp Sci & Engn, Chengdu 611731, Sichuan, Peoples R China
[2] Prov Key Lab Digital Media, Chengdu 611731, Sichuan, Peoples R China
基金
国家高技术研究发展计划(863计划);
关键词
D O I
10.1155/2014/806095
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
We present a novel Smoothed Particle Hydrodynamics (SPH) based algorithm for efficiently simulating compressible and weakly compressible particle fluids. Prior particle-based methods simulate all fluid particles; however, in many cases some particles appearing to be at rest can be safely ignored without notably affecting the fluid flow behavior. To identify these particles, a novel sleepy strategy is introduced. By utilizing this strategy, only a portion of the fluid particles requires computational resources; thus an obvious performance gain can be achieved. In addition, in order to resolve unphysical clumping issue due to tensile instability in SPH based methods, a new artificial repulsive force is provided. We demonstrate that our approach can be easily integrated with existing SPH based methods to improve the efficiency without sacrificing visual quality.
引用
收藏
页数:8
相关论文
共 50 条
  • [1] Particle-based simulation of fluids
    Premoze, S
    Tasdizen, T
    Bigler, J
    Lefohn, A
    Whitaker, RT
    [J]. COMPUTER GRAPHICS FORUM, 2003, 22 (03) : 401 - 410
  • [2] Boundary Detection in Particle-based Fluids
    Sandim, Marcos
    Cedrim, Douglas
    Nonato, Luis Gustavo
    Pagliosa, Paulo
    Paiva, Afonso
    [J]. COMPUTER GRAPHICS FORUM, 2016, 35 (02) : 215 - 224
  • [3] Particle-based fluids for viscous jet buckling
    de Souza Andrade, Luiz Fernando
    Sandim, Marcos
    Petronetto, Fabiano
    Pagliosa, Paulo
    Paiva, Afonso
    [J]. COMPUTERS & GRAPHICS-UK, 2015, 52 : 106 - 115
  • [4] Parallel Surface Reconstruction for Particle-Based Fluids
    Akinci, G.
    Ihmsen, M.
    Akinci, N.
    Teschner, M.
    [J]. COMPUTER GRAPHICS FORUM, 2012, 31 (06) : 1797 - 1809
  • [5] MAGNETIZATION MODELS FOR PARTICLE-BASED SIMULATIONS OF MAGNETORHEOLOGICAL FLUIDS
    Lagger, Hanna G.
    Peguiron, Joel
    Bierwisch, Claas
    Moseler, Michael
    [J]. COMPUTATIONAL METHODS FOR COUPLED PROBLEMS IN SCIENCE AND ENGINEERING IV, 2011, : 1071 - 1082
  • [6] Particle-based interaction simulation of fluids and deformable bodies
    Sun, Hongquan
    [J]. CEIS 2011, 2011, 15
  • [7] Static and dynamic properties of a particle-based algorithm for non-ideal fluids and binary mixtures
    Ihle, Thomas
    Tuzel, Erkan
    [J]. PROGRESS IN COMPUTATIONAL FLUID DYNAMICS, 2008, 8 (1-4): : 138 - 155
  • [8] Fast and Stable Surface Feature Simulation for Particle-Based Fluids
    Xiaokun Wang
    Yanrui Xu
    Xiaojuan Ban
    Pengfei Ye
    [J]. Journal of Beijing Institute of Technology, 2019, 28 (01) : 57 - 66
  • [9] Efficient particle-based online smoothing in general hidden Markov models: The PaRIS algorithm
    Olsson, Jimmy
    Westerborn, Johan
    [J]. BERNOULLI, 2017, 23 (03) : 1951 - 1996
  • [10] A completely parallel surface reconstruction method for particle-based fluids
    Wencong Yang
    Chengying Gao
    [J]. The Visual Computer, 2020, 36 : 2313 - 2325