具有光滑或非光滑初始数据的二维纳维-斯托克斯方程基于欧拉隐式/显式 SAV 方案的无条件 H2$$ {H}^2 $$ 稳定性

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS ACS Applied Bio Materials Pub Date : 2024-03-27 DOI:10.1002/num.23099
Teng‐Yuan Chang, Ming‐Cheng Shiue
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引用次数: 0

摘要

在本文中,我们提出了用于求解具有光滑或非光滑初始数据(Ⅳ)的时变不可压缩纳维-斯托克斯方程的-条件稳定方案。利用标量辅助变量(SAV)方法建立了-稳定性分析。在处理非光滑初始数据时,我们使用了有限次数的半隐式方案迭代,然后再使用 SAV 方案。由于半隐式方案的计算成本极低,而且 SAV 方法中对非线性项进行了明确处理,因此整体效率大大提高。所提出的方案研究了两类标量辅助变量:基于能量的变量和基于指数的变量。两种方案的无条件稳定性都得到了严格证明。我们注意到,当......或......时,对于光滑或非光滑的初始数据,这两种方案都具有无条件的长时间稳定性。为了证明理论结果,我们进行了数值实验。
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Unconditional H2$$ {H}^2 $$‐stability of the Euler implicit/explicit SAV‐based scheme for the 2D Navier–Stokes equations with smooth or nonsmooth initial data
In this article, we propose ‐unconditional stable schemes for solving time‐dependent incompressible Navier–Stokes equations with smooth or nonsmooth initial data, , . The ‐stability analysis is established by leveraging the scalar auxiliary variable (SAV) approach. When dealing with nonsmooth initial data, we utilize a limited number of iteration of the semi‐implicit scheme followed by the SAV scheme. The overall efficiency is greatly enhanced due to the minimal computational cost of the semi‐implicit scheme and the explicit treatment of the nonlinear term within the SAV approach. The proposed schemes investigate two types of scalar auxiliary variables: the energy‐based variable and the exponential‐based variable. Rigorous proofs of the ‐unconditional stability of both schemes have been provided. Notice that both proposed numerical schemes enjoy unconditional long time stability for smooth and nonsmooth initial data when . Numerical experiments have been conducted to demonstrate the theoretical results.
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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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