用于一般网格上时变不可压缩纳维-斯托克斯方程的雷诺稳态和压力稳健混合高阶方法

Daniel Castanon Quiroz, Daniele A. Di Pietro
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引用次数: 0

摘要

在这项研究中,我们开发并分析了不可压缩纳维尔-斯托克斯方程的雷诺稳态和压力稳态混合高阶(HHO)离散法。雷诺半稳健性是指在适当的正则性假设下,速度误差估计的右侧不依赖于粘度的倒数。在这里,这一特性是通过惩罚项获得的,惩罚项涉及在逐元素构建的子网格空间上对对流项的微妙投影。速度的$L^\infty(L^2)$-和$L^2(\text{energy})$正态的估计收敛阶数为$h^{k+\frac12}$,这与连续和非连续 Galerkin 方法的最佳结果相匹配,并与对流主导机制中 HHO 方法的预期收敛阶数一致。
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A Reynolds-semi-robust and pressure robust Hybrid High-Order method for the time dependent incompressible Navier--Stokes equations on general meshes
In this work we develop and analyze a Reynolds-semi-robust and pressure-robust Hybrid High-Order (HHO) discretization of the incompressible Navier--Stokes equations. Reynolds-semi-robustness refers to the fact that, under suitable regularity assumptions, the right-hand side of the velocity error estimate does not depend on the inverse of the viscosity. This property is obtained here through a penalty term which involves a subtle projection of the convective term on a subgrid space constructed element by element. The estimated convergence order for the $L^\infty(L^2)$- and $L^2(\text{energy})$-norm of the velocity is $h^{k+\frac12}$, which matches the best results for continuous and discontinuous Galerkin methods and corresponds to the one expected for HHO methods in convection-dominated regimes. Two-dimensional numerical results on a variety of polygonal meshes complete the exposition.
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