具有局部拉格朗日乘数的质量守恒艾伦-卡恩模型的无条件最大原则保留线性方法

IF 3.4 2区 数学 Q1 MATHEMATICS, APPLIED
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引用次数: 0

摘要

在这项工作中,我们提出了保守艾伦-卡恩(CAC)方程,并研究了其无条件最大原则保留线性数值方案。我们采用算子拆分策略,将 CAC 模型拆分为传统交流方程和质量修正方程。采用标准有限差分法对方程进行空间离散。第一步,利用能量因式分解技术对交流方程进行时间离散化。无条件地满足交流方程的最大原则保持特性的离散版本。第二步,我们使用显式欧拉法进行质量修正。在不受时间步长限制的情况下,我们估计更新解的绝对值以 1 为界。在每个时间步中,我们只需求解一个线性椭圆型方程,然后以显式方式修正解,因此所提出的方法很容易实现。在二维和三维空间中进行的各种计算实验证实了所提方法的性能。此外,实验还表明,所提出的模型可用于模拟两相不可压缩流体流动。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Unconditionally maximum principle-preserving linear method for a mass-conserved Allen–Cahn model with local Lagrange multiplier

In this work, we present a conservative Allen–Cahn (CAC) equation and investigate its unconditionally maximum principle-preserving linear numerical scheme. The operator splitting strategy is adopted to split the CAC model into a conventional AC equation and a mass correction equation. The standard finite difference method is used to discretize the equations in space. In the first step, the temporal discretization of the AC equation is performed by using the energy factorization technique. The discrete version of the maximum principle-preserving property for the AC equation is unconditionally satisfied. In the second step, we apply mass correction by using an explicit Euler-type approach. Without the constraint of time step, we estimate that the absolute value of the updated solution is bounded by 1. The unique solvability is analytically proved. In each time step, the proposed method is easy to implement because we only need to solve a linear elliptic type equation and then correct the solution in an explicit manner. Various computational experiments in two-dimensional and three-dimensional spaces are performed to confirm the performance of the proposed method. Moreover, the experiments also indicate that the proposed model can be used to simulate two-phase incompressible fluid flows.

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来源期刊
Communications in Nonlinear Science and Numerical Simulation
Communications in Nonlinear Science and Numerical Simulation MATHEMATICS, APPLIED-MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
CiteScore
6.80
自引率
7.70%
发文量
378
审稿时长
78 days
期刊介绍: The journal publishes original research findings on experimental observation, mathematical modeling, theoretical analysis and numerical simulation, for more accurate description, better prediction or novel application, of nonlinear phenomena in science and engineering. It offers a venue for researchers to make rapid exchange of ideas and techniques in nonlinear science and complexity. The submission of manuscripts with cross-disciplinary approaches in nonlinear science and complexity is particularly encouraged. Topics of interest: Nonlinear differential or delay equations, Lie group analysis and asymptotic methods, Discontinuous systems, Fractals, Fractional calculus and dynamics, Nonlinear effects in quantum mechanics, Nonlinear stochastic processes, Experimental nonlinear science, Time-series and signal analysis, Computational methods and simulations in nonlinear science and engineering, Control of dynamical systems, Synchronization, Lyapunov analysis, High-dimensional chaos and turbulence, Chaos in Hamiltonian systems, Integrable systems and solitons, Collective behavior in many-body systems, Biological physics and networks, Nonlinear mechanical systems, Complex systems and complexity. No length limitation for contributions is set, but only concisely written manuscripts are published. Brief papers are published on the basis of Rapid Communications. Discussions of previously published papers are welcome.
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