计算函数导数的FODF-SPH方法
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  • 英文篇名:A New FODF-SPH Method to Compute First Order Derivatives
  • 作者:热合买提江·依明 ; 阿合买提江·依明江
  • 英文作者:Rahmatjan Imin;Ahmatjan Iminjan;College of Mathematics and System Sciences,Xinjiang University;
  • 关键词:SPH核近似方法 ; FODF-SPH方法 ; 误差 ; 收敛速度
  • 英文关键词:SPH kernel approximation;;FODF-SPH Method;;Error;;Convergence speed
  • 中文刊名:SSJS
  • 英文刊名:Mathematics in Practice and Theory
  • 机构:新疆大学数学与系统科学学院;
  • 出版日期:2016-07-08
  • 出版单位:数学的实践与认识
  • 年:2016
  • 期:v.46
  • 基金:国家自然科学基金(51565054,51075346)
  • 语种:中文;
  • 页:SSJS201613023
  • 页数:6
  • CN:13
  • ISSN:11-2018/O1
  • 分类号:179-184
摘要
在光滑粒子流体动力学(Smooth Particle Hydrodynamics:SPH)核近似方法原理的基础上,通过泰勒级数展开提出了计算函数导数的新FODF-SPH(Frist Order Derivative Free:FODF)方法,并分别推导一维、二维及三维情况下,计算函数的导数核估计的离散形式.用不同的粒子间距和不同的光滑长度计算一维和二维函数导数,与传统SPH方法进行误差对比分析.结果表明,与传统方法对比提出的计算方法的误差小、收敛速度快且计算过程避免核函数导数计算等优越性,因此在工程应用和数值计算中具有较强的适用范围.
        Based on the basic principle of the smooth particle hydrodynamics(SPH)method's kernel approximation,New FODF-SPH(Frist Order Derivative Free Smoothed Particle Hydrodynamics) method to compute first order derivatives are constructed through Taylor series expansion.The Discrete forms of kernel estimations are deduced in the one,two and three dimensional space.Then selecting different particle distance and setting different smooth length computed one and two dimensional function's derivatives,compared and analyzed errors of traditional SPH method and FODF-SPH methods.The results show that error of new methods is relatively smaller and convergence speed is faster than traditional SPH method;also in calculation process can avoid calculation of kernel function's derivative kernel approximation,so this method have a wider range of application in engineering an numerical calculation.
引文
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