Second-Order Linear Stabilized Semi-Implicit Crank-Nicolson Scheme for the Cahn-Hilliard Model with Dynamic Boundary Conditions

We propose a kind of second-order stabilized Crank-Nicolson scheme which can be applied to three types of Cahn-Hilliard model with dynamic boundary conditions. We give the corresponding proof of stability and convergence theoretically which takes the reaction rate dependent dynamic boundary conditions as an example. We verify the effectiveness and universality of our proposed scheme by conducting some typical numerical simulations and comparing with the literature works. It’s found that second-order scheme takes much less CPU time than the first-order scheme to reach the same final time.

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Publication Details

Journal
Communications in Computational Physics
Published
2025-01-22
DOI
https://doi.org/10.4208/cicp.oa-2022-0269
Primary Topic
Advanced Mathematical Modeling in Engineering
Type
article
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article

Second-Order Linear Stabilized Semi-Implicit Crank-Nicolson Scheme for the Cahn-Hilliard Model with Dynamic Boundary Conditions

Xiangjun Meng, Zhengru Zhang, Xuelian Bao null
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Communications in Computational Physics
Advanced Mathematical Modeling in Engineering
article

Second-Order Linear Stabilized Semi-Implicit Crank-Nicolson Scheme for the Cahn-Hilliard Model with Dynamic Boundary Conditions

Xiangjun Meng, Zhengru Zhang, Xuelian Bao null
article en

Abstract

We propose a kind of second-order stabilized Crank-Nicolson scheme which can be applied to three types of Cahn-Hilliard model with dynamic boundary conditions. We give the corresponding proof of stability and convergence theoretically which takes the reaction rate dependent dynamic boundary conditions as an example. We verify the effectiveness and universality of our proposed scheme by conducting some typical numerical simulations and comparing with the literature works. It’s found that second-order scheme takes much less CPU time than the first-order scheme to reach the same final time.

Communications in Computational PhysicsVol. 37(1)
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Advanced Mathematical Modeling in Engineering
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