用于三维形状变换的新型相场模型

IF 2.9 2区 数学 Q1 MATHEMATICS, APPLIED
Seokjun Ham , Hyundong Kim , Youngjin Hwang , Soobin Kwak , Jyoti , Jian Wang , Heming Xu , Wenjing Jiang , Junseok Kim
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引用次数: 0

摘要

我们为三维(3D)形状变换的新型相场模型提出了一种简单而稳健的数值技术。形状变换是通过相场模型实现的。然而,以往的相场模型存在固有的缺陷,如平均曲率运动导致的收缩和不必要的增长。为了克服以往模型的这些缺点,我们提出了一种新型相场模型,以消除这些缺点。所提出的相场模型基于具有非标准流动性和非线性源项的 Allen-Cahn (AC) 方程。为了高效地数值求解所提出的相场方程,我们采用了一种算子分裂方法,该方法由具有非标准流动性的 AC 方程和保真方程组成。修改后的交流方程采用完全显式有限差分法求解,其时间步长可确保稳定性。在求解保真方程时,我们使用了一种带有冻结系数的半隐式方案。我们用各种三维源和目标形状进行了多次数值实验,以验证我们提出的数学模型及其数值方法的稳健性和有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A novel phase-field model for three-dimensional shape transformation

We present a simple and robust numerical technique for a novel phase-field model of three-dimensional (3D) shape transformation. Shape transformation has been achieved using phase-field models. However, previous phase-field models have intrinsic drawbacks, such as shrinkage due to motion by mean curvature and unwanted growth. To overcome these drawbacks associated with previous models, we propose a novel phase-field model that eliminates these shortcomings. The proposed phase-field model is based on the Allen–Cahn (AC) equation with nonstandard mobility and a nonlinear source term. To numerically and efficiently solve the proposed phase-field equation, we adopt an operator splitting method, which consists of the AC equation with a nonstandard mobility and a fidelity equation. The modified AC equation is solved using a fully explicit finite difference method with a time step that ensures stability. For solving the fidelity equation, we use a semi-implicit scheme with a frozen coefficient. We have performed several numerical experiments with various 3D sources and target shapes to verify the robustness and efficacy of our proposed mathematical model and its numerical method.

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来源期刊
Computers & Mathematics with Applications
Computers & Mathematics with Applications 工程技术-计算机:跨学科应用
CiteScore
5.10
自引率
10.30%
发文量
396
审稿时长
9.9 weeks
期刊介绍: Computers & Mathematics with Applications provides a medium of exchange for those engaged in fields contributing to building successful simulations for science and engineering using Partial Differential Equations (PDEs).
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