• DocumentCode
    3125592
  • Title

    The Dynamic Cloth Simulation Performance Analysis Based on the Improved Spring-mass Model

  • Author

    Wang, Jianchun ; Hu, Xinrong ; Zhuang, Yi

  • Author_Institution
    Coll. of Comput. Sci., Wuhan Univ. of Sci. & Eng., Wuhan, China
  • fYear
    2009
  • fDate
    28-29 Dec. 2009
  • Firstpage
    282
  • Lastpage
    285
  • Abstract
    This paper mainly introduces the improved classical spring-mass model, some satisfied spring parameters can be obtained with the data-driven strategy and computer assisted tomography technology, and if some external forces are added, we can get more realistic simulation results. Discussing the Euler algorithm, the midpoint algorithm, the Four-ord Runge-Kutta algorithm and adaptive Runge-Kutta algorithm, when they are under the same condition, it is found that each algorithm has its own characteristics, and the adaptive Runge-Kutta algorithm can make the cloth to achieve the system balance in a shorter time. This algorithm is accurate and effective, it is an ideal method to simulate flexible cloths, and it provides a new solution to realize the computer dynamic simulation of flexible cloths.
  • Keywords
    CAD/CAM; Runge-Kutta methods; clothing; computerised tomography; Euler algorithm; Four-ord Runge-Kutta algorithm; adaptive Runge-Kutta algorithm; computer assisted tomography; data-driven strategy; dynamic cloth simulation performance analysis; flexible cloths; improved spring-mass model; midpoint algorithm; spring parameters; Analytical models; Clothing; Computational modeling; Computer science; Computer simulation; Data engineering; Educational institutions; Elasticity; Performance analysis; Springs; adaptive Rung-Kutta algorithm; computer assisted tomography technology; data-driven strategy; spring-mass model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Networks and Information Systems, 2009. WNIS '09. International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-0-7695-3901-0
  • Electronic_ISBN
    978-1-4244-5400-6
  • Type

    conf

  • DOI
    10.1109/WNIS.2009.41
  • Filename
    5381937