An extra-dof-free generalized finite element method for incompressible Navier-Stokes equations

IF 6.9 1区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY
Wenhai Sheng , Qinglin Duan
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引用次数: 0

Abstract

The generalized finite element method (GFEM) without extra degrees of freedom (dof) is extended to solve incompressible Navier-Stokes (N-S) equations. Unlike the existing extra-dof-free GFEM, we propose a new approach to construct the nodal enrichments based on the weighted least-squares. As a result, the essential boundary conditions can be imposed more accurately. The Characteristic-Based Split (CBS) scheme is used to suppress oscillations due to the standard Galerkin discretization of the convective terms, and the pressure is further stabilized by the finite increment calculus (FIC) formulation. Hence, equal velocity-pressure interpolation and the incremental version of the split scheme can be used without inducing spurious oscillations. The developed extra-dof-free GFEM is very flexible and can achieve high-order spatial accuracy and convergence rates by adopting high-order polynomial enrichments. In particular, better accuracy could be obtained with special enrichments reflecting a-priori knowledge about the solution. This is demonstrated by numerical results. Benchmark examples such as the Lid-Driven Cavity flow and the flow past a circular cylinder are also presented to further verify the effectiveness of the proposed extra-dof-free GFEM for incompressible flow.
不可压缩纳维-斯托克斯方程的无差别广义有限元法
无额外自由度(dof)的广义有限元法(GFEM)被扩展用于求解不可压缩纳维-斯托克斯(N-S)方程。与现有的无额外自由度 GFEM 不同,我们提出了一种基于加权最小二乘法构建节点富集的新方法。因此,可以更精确地施加基本边界条件。基于特性的分割(CBS)方案用于抑制由于对流项的标准 Galerkin 离散化而产生的振荡,而压力则通过有限增量微积分(FIC)公式得到进一步稳定。因此,使用等速等压插值和增量版分割方案不会引起虚假振荡。所开发的无差错外 GFEM 非常灵活,通过采用高阶多项式富集,可以获得高阶空间精度和收敛速率。特别是,通过反映解的先验知识的特殊富集,可以获得更好的精度。数值结果证明了这一点。此外,还介绍了一些基准实例,如Lid-Driven Cavity流动和圆筒流动,以进一步验证所提出的无损外GFEM在不可压缩流动中的有效性。
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来源期刊
CiteScore
12.70
自引率
15.30%
发文量
719
审稿时长
44 days
期刊介绍: Computer Methods in Applied Mechanics and Engineering stands as a cornerstone in the realm of computational science and engineering. With a history spanning over five decades, the journal has been a key platform for disseminating papers on advanced mathematical modeling and numerical solutions. Interdisciplinary in nature, these contributions encompass mechanics, mathematics, computer science, and various scientific disciplines. The journal welcomes a broad range of computational methods addressing the simulation, analysis, and design of complex physical problems, making it a vital resource for researchers in the field.
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