Acta Physica Sinica, Volume. 69, Issue 8, 080202-1(2020)

Simulation of nonlinear Cahn-Hilliard equation based on local refinement pure meshless method

Jin-Lian Ren, Rong-Rong Jiang, Wei-Gang Lu, and Tao Jiang1,1、*
Author Affiliations
  • 1School of Hydraulic Science and Engineering, Yangzhou University, Yangzhou 225002, China
  • 1School of Mathematical Sciences, Yangzhou University, Yangzhou 225002, China
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    Figures & Tables(15)
    Comparisons between the present numerical results and analytical solutions with different times under the uniform and local refinement particle distributions.
    The numerical convergence versus time under different particle numbers.
    Different cases of particle distributions: (a) Uniform case; (b) local refinement case; (c) non-uniform case.
    The present numerical results under the uniform and local refinement particle distributions.
    The numerical results obtained using FDM and LR-FPM at different times with .
    The present numerical results under uniform and local refinement particle distributions at , t = 0.2 s.
    The FPM result at .
    The contour results obtained using the present method and the numerical results in ref.[11] at : (a) Numerical results in [11]; (b)−(d) present numerical results
    The numerical convergence obtained using the present method under different particle distributions at .
    • Table 1. The L2-norm error and convergence rate at .

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      Table 1. The L2-norm error and convergence rate at .

      粒子间距误差E2收敛阶
      ${d_0} = {\text{π}}/16$1.9623 × 10–4
      ${d_0} = {\text{π}}/32$4.8081 × 10–52.03
      ${d_0} = {\text{π}}/64$1.0688 × 10–52.16
    • Table 2. The L2-norm error at different times under the uniform and local refinement particle distributions.

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      Table 2. The L2-norm error at different times under the uniform and local refinement particle distributions.

      $t$均匀分布局部加密
      0.12.2976 × 10–59.7058 × 10–6
      0.33.4419 × 10–52.5119 × 10–5
      0.54.8081 × 10–54.3028 × 10–5
    • Table 3. The L2-norm error with quintic spline kernel and gaussian kernel functions at .

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      Table 3. The L2-norm error with quintic spline kernel and gaussian kernel functions at .

      $t$五次样条核函数高斯核函数
      0.0010.00820.0107
      0.0050.01860.0243
      0.0100.02070.0272
    • Table 4. The L2-norm error and convergence rate at .

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      Table 4. The L2-norm error and convergence rate at .

      粒子间距${E_2}$收敛阶
      ${d_0} = 1/20$0.0332
      ${d_0} = 1/40$0.00782.09
      ${d_0} = 1/{\rm{6}}0$0.00322.20
    • Table 5. The L2-norm error at different times under the uniform, local refinement, and non-uniform particle distributions.

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      Table 5. The L2-norm error at different times under the uniform, local refinement, and non-uniform particle distributions.

      $t$均匀分布局部加密非均匀分布
      0.0010.00820.00490.0089
      0.0050.01860.01240.0150
      0.0100.02070.01840.0233
    • Table 6. The L2-norm error and convergence rate at t = 0.01 s under non-uniform particle distribution.

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      Table 6. The L2-norm error and convergence rate at t = 0.01 s under non-uniform particle distribution.

      粒子间距${E_2}$收敛阶
      ${d_0} = 1/20$0.0251
      ${d_0} = 1/30$0.01141.95
      ${d_0} = 1/40$0.00632.06
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    Jin-Lian Ren, Rong-Rong Jiang, Wei-Gang Lu, Tao Jiang. Simulation of nonlinear Cahn-Hilliard equation based on local refinement pure meshless method[J]. Acta Physica Sinica, 2020, 69(8): 080202-1

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    Paper Information

    Category:

    Received: Dec. 3, 2019

    Accepted: --

    Published Online: Nov. 24, 2020

    The Author Email:

    DOI:10.7498/aps.69.20191829

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