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Convergence towards weak solutions of the Navier-Stokes equations for a finite element approximation with numerical subgrid-scale modelling

机译:数值亚网格规模建模的有限元逼近的Navier-Stokes方程弱解的收敛性

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摘要

Residual-based stabilized finite element (FE) techniques for the Navier-Stokes equations lead to numerical discretizations that provide convection stabilization as well as pressure stability without the need to satisfy an inf-sup condition. They can be motivated by using a variational multiscale (VMS) framework, based on the decomposition of the fluid velocity into a resolvable FE component plus a modelled subgrid-scale component. The subgrid closure acts as a large eddy simulation turbulence model, leading to accurate under-resolved simulations. However, even though VMS formulations are increasingly used in the applied FE community, their numerical analysis has been restricted to a priori estimates and convergence to smooth solutions only, via a priori error estimates. In this work, we prove that some versions of these methods (based on dynamic and orthogonal closures) also converge to weak (turbulent) solutions of the Navier-Stokes equations. These results are obtained by using compactness results in Bochner-Lebesgue spaces.
机译:Navier-Stokes方程的基于残差的稳定有限元(FE)技术可导致数值离散化,从而提供对流稳定性以及压力稳定性,而无需满足注入条件。通过将流体速度分解为可解析的有限元分量和建模的子网格规模分量,可以使用变分多尺度(VMS)框架来激发它们。子网格闭合充当大型涡流模拟湍流模型,从而导致精确的欠解析模拟。但是,即使VMS公式在有限元应用社区中越来越多地使用,其数值分析也仅限于先验估计,并且只能通过先验误差估计收敛到平滑解。在这项工作中,我们证明了这些方法的某些版本(基于动态和正交闭合)也收敛于Navier-Stokes方程的弱(湍流)解。这些结果是通过在Bochner-Lebesgue空间中使用紧致结果获得的。

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