• DocumentCode
    3308148
  • Title

    Adaptive Parameter Adjustment of a Real-Time SPH Simulation for Interactive Virtual Environments: Application to Parallel Processing

  • Author

    Kawai, Masayuki ; Suzuki, Yohei

  • Author_Institution
    Dept. of Mech. Eng., Univ. of Fukui, Fukui, Japan
  • fYear
    2012
  • fDate
    8-10 Aug. 2012
  • Firstpage
    692
  • Lastpage
    697
  • Abstract
    In this research, we develop a real-time fluid simulator, which uses smoothed particle hydrodynamics (SPH), for virtual environments including 3-dimensional fluid. SPH is a type of particle method and easy to control computational time by reducing or increasing the number of particles, however, it is difficult to change the number of particles while maintaining the same volume of fluid and the stability during a simulation. In this paper, we propose a new method to automatically adjust the number of particles, mass, radius in kernel functions and gains of density feedback for a real-time process while maintaining the stability. This paper also proposes to apply the method to a system using parallel processing with multi-thread programming. Finally, simulations are performed to estimate the effectiveness of the proposed method for parallel processing.
  • Keywords
    multi-threading; parallel processing; real-time systems; virtual reality; 3-dimensional fluid; aadaptive parameter adjustment; computational time control; density feedback; interactive virtual environments; multithread programming; parallel processing; real-time SPH simulation; real-time fluid simulator; real-time process; smoothed particle hydrodynamics; stability; Computational modeling; Fluids; Instruction sets; Kernel; Mathematical model; Parallel processing; Real time systems; CFD; SPH; parallel processing; virtual reality;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Engineering, Artificial Intelligence, Networking and Parallel & Distributed Computing (SNPD), 2012 13th ACIS International Conference on
  • Conference_Location
    Kyoto
  • Print_ISBN
    978-1-4673-2120-4
  • Type

    conf

  • DOI
    10.1109/SNPD.2012.82
  • Filename
    6299357