Effective Time Step Analysis of a Nonlinear Convex Splitting Scheme for the Cahn–Hilliard Equation

Effective Time Step Analysis of a Nonlinear Convex Splitting Scheme for the Cahn–Hilliard Equation

Year:    2019

Communications in Computational Physics, Vol. 25 (2019), Iss. 2 : pp. 448–460

Abstract

We analyze the effective time step size of a nonlinear convex splitting scheme for the Cahn–Hilliard (CH) equation. The convex splitting scheme is unconditionally stable, which implies we can use arbitrary large time-steps and get stable numerical solutions. However, if we use a too large time-step, then we have not only discretization error but also time-step rescaling problem. In this paper, we show the time-step rescaling problem from the convex splitting scheme by comparing with a fully implicit scheme for the CH equation. We perform various test problems. The computation results confirm the time-step rescaling problem and suggest that we need to use small enough time-step sizes for the accurate computational results.

You do not have full access to this article.

Already a Subscriber? Sign in as an individual or via your institution

Journal Article Details

Publisher Name:    Global Science Press

Language:    English

DOI:    https://doi.org/10.4208/cicp.OA-2017-0260

Communications in Computational Physics, Vol. 25 (2019), Iss. 2 : pp. 448–460

Published online:    2019-01

AMS Subject Headings:    Global Science Press

Copyright:    COPYRIGHT: © Global Science Press

Pages:    13

Keywords:    Cahn–Hilliard equation convex splitting effective time step Fourier analysis.

  1. Effective time step analysis for the Allen–Cahn equation with a high‐order polynomial free energy

    Lee, Seunggyu | Yoon, Sungha | Lee, Chaeyoung | Kim, Sangkwon | Kim, Hyundong | Yang, Junxiang | Kwak, Soobin | Hwang, Youngjin | Kim, Junseok

    International Journal for Numerical Methods in Engineering, Vol. 123 (2022), Iss. 19 P.4726

    https://doi.org/10.1002/nme.7053 [Citations: 4]
  2. An energy-stable method for a phase-field surfactant model

    Tan, Zhijun | Tian, Yuan | Yang, Junxiang | Wu, Yanyao | Kim, Junseok

    International Journal of Mechanical Sciences, Vol. 233 (2022), Iss. P.107648

    https://doi.org/10.1016/j.ijmecsci.2022.107648 [Citations: 5]
  3. Hessian recovery based finite element methods for the Cahn-Hilliard equation

    Xu, Minqiang | Guo, Hailong | Zou, Qingsong

    Journal of Computational Physics, Vol. 386 (2019), Iss. P.524

    https://doi.org/10.1016/j.jcp.2019.01.056 [Citations: 14]
  4. Local volume-conservation-improved diffuse interface model for simulation of Rayleigh–Plateau fluid instability

    Li, Jianqing | Yang, Junxiang

    Computer Physics Communications, Vol. 296 (2024), Iss. P.109050

    https://doi.org/10.1016/j.cpc.2023.109050 [Citations: 1]
  5. Effective time step analysis of convex splitting schemes for the Swift–Hohenberg equation

    Lee, Seunggyu | Yoon, Sungha | Kim, Junseok

    Journal of Computational and Applied Mathematics, Vol. 419 (2023), Iss. P.114713

    https://doi.org/10.1016/j.cam.2022.114713 [Citations: 1]
  6. Unconditionally strong energy stable scheme for Cahn–Hilliard equation with second‐order temporal accuracy

    Lee, Seunggyu

    Mathematical Methods in the Applied Sciences, Vol. 46 (2023), Iss. 6 P.6463

    https://doi.org/10.1002/mma.8917 [Citations: 2]
  7. A Third Order Exponential Time Differencing Numerical Scheme for No-Slope-Selection Epitaxial Thin Film Model with Energy Stability

    Cheng, Kelong | Qiao, Zhonghua | Wang, Cheng

    Journal of Scientific Computing, Vol. 81 (2019), Iss. 1 P.154

    https://doi.org/10.1007/s10915-019-01008-y [Citations: 75]
  8. An unconditionally stable splitting method for the Allen–Cahn equation with logarithmic free energy

    Park, Jintae | Lee, Chaeyoung | Choi, Yongho | Lee, Hyun Geun | Kwak, Soobin | Hwang, Youngjin | Kim, Junseok

    Journal of Engineering Mathematics, Vol. 132 (2022), Iss. 1

    https://doi.org/10.1007/s10665-021-10203-6 [Citations: 8]