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An adaptive least-squares spectral collocation method with triangular elements for the incompressible Navier-Stokes equations

机译:不可压缩的Navier-Stokes方程的带有三角元素的自适应最小二乘频谱配点方法

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摘要

A least-squares spectral collocation scheme for the incompressible Navier-Stokes equations is proposed. Grid refinement is performed by means of adaptive triangular elements. On each triangle the Fekete nodes are employed for the collocation of the differential equation. On the element interfaces continuity of the functions is enforced in the least-squares sense. Equal-order Dubiner polynomials are used to obtain a stable spectral scheme. The collocation conditions and the interface conditions lead to an overdetermined system that can be solved efficiently by least-squares. The solution technique only involves symmetric positive-definite linear systems. The approach is first applied to the Poisson equation and then extended to singular perturbation problems where least-squares have a stabilizing effect. By adap-tivity, a suitable decomposition of the domain is found where the boundary layer is well resolved. Finally, the method is successfully applied to the regularized driven-cavity flow problem. Numerical simulations confirm the high accuracy of the proposed spectral least-squares scheme.
机译:提出了不可压缩的Navier-Stokes方程的最小二乘谱配置方案。网格细化是通过自适应三角形元素进行的。在每个三角形上,Fekete节点用于微分方程的搭配。在元素接口上,功能的连续性在最小二乘意义上得到了加强。等阶Dubiner多项式用于获得稳定的频谱方案。搭配条件和界面条件导致系统超定,可以用最小二乘法有效地解决。求解技术仅涉及对称的正定线性系统。该方法首先应用于泊松方程,然后扩展到最小二乘具有稳定作用的奇异摄动问题。通过亲和力,在边界层被很好分辨的地方找到了合适的区域分解。最后,该方法成功地应用于正则驱动腔流动问题。数值模拟证实了所提出的频谱最小二乘方案的高精度。

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