Discrete strong extremum principles for finite element solutions of advection‐diffusion problems with nonlinear corrections

IF 1.7 4区 工程技术 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS International Journal for Numerical Methods in Fluids Pub Date : 2024-08-28 DOI:10.1002/fld.5330
Shuai Wang, Guangwei Yuan
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Abstract

A nonlinear correction technique for finite element methods of advection‐diffusion problems on general triangular meshes is introduced. The classic linear finite element method is modified, and the resulting scheme satisfies discrete strong extremum principle unconditionally, which means that it is unnecessary to impose the well‐known restrictions on diffusion coefficients and geometry of mesh‐cell (e.g., “acute angle” condition), and we need not to perform upwind treatment on the advection term separately. Moreover, numerical example shows that when a discrete scheme does not satisfy the strong extremum principle, even if it maintains the global physical bound, non‐physical numerical oscillations may still occur within local regions where no numerical result is beyond the physical bound. Thus, it is worth to point out that our new nonlinear finite element scheme can avoid non‐physical oscillations around sharp layers in advection‐dominate regions, due to maintaining discrete strong extremum principle. Convergence rates are verified by numerical tests for both diffusion‐dominate and advection‐dominate problems.
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具有非线性修正的平流扩散问题有限元解的离散强极值原理
本文介绍了一种针对一般三角形网格上平流-扩散问题的有限元方法的非线性修正技术。对经典的线性有限元方法进行了修正,得到的方案无条件地满足离散强极值原理,这意味着无需对扩散系数和网格单元的几何形状施加众所周知的限制(如 "锐角 "条件),也无需单独对平流项进行上风处理。此外,数值实例表明,当离散方案不满足强极值原理时,即使它保持了全局物理约束,在没有数值结果超出物理约束的局部区域内仍可能出现非物理数值振荡。因此,值得指出的是,由于保持了离散强极值原理,我们的新非线性有限元方案可以避免平流主导区域尖锐层周围的非物理振荡。通过对扩散主导和平流主导问题的数值测试,验证了收敛率。
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来源期刊
International Journal for Numerical Methods in Fluids
International Journal for Numerical Methods in Fluids 物理-计算机:跨学科应用
CiteScore
3.70
自引率
5.60%
发文量
111
审稿时长
8 months
期刊介绍: The International Journal for Numerical Methods in Fluids publishes refereed papers describing significant developments in computational methods that are applicable to scientific and engineering problems in fluid mechanics, fluid dynamics, micro and bio fluidics, and fluid-structure interaction. Numerical methods for solving ancillary equations, such as transport and advection and diffusion, are also relevant. The Editors encourage contributions in the areas of multi-physics, multi-disciplinary and multi-scale problems involving fluid subsystems, verification and validation, uncertainty quantification, and model reduction. Numerical examples that illustrate the described methods or their accuracy are in general expected. Discussions of papers already in print are also considered. However, papers dealing strictly with applications of existing methods or dealing with areas of research that are not deemed to be cutting edge by the Editors will not be considered for review. The journal publishes full-length papers, which should normally be less than 25 journal pages in length. Two-part papers are discouraged unless considered necessary by the Editors.
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