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A hybridizable discontinuous Galerkin method for Stokes flow

机译:Stokes流的可混合不连续Galerkin方法

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摘要

In this paper, we introduce a hybridizable discontinuous Galerkin method for Stokes flow. The method is devised by using the discontinuous Galerkin methodology to discretize a velocity-pressure-gradient formulation of the Stokes system with appropriate choices of the numerical fluxes and by applying a hybridization technique to the resulting discretization. One of the main features of this approach is that it reduces the globally coupled unknowns to the numerical trace of the velocity and the mean of the pressure on the element boundaries, thereby leading to a significant reduction in the size of the resulting matrix. Moreover, by using an augmented lagrangian method, the globally coupled unknowns are further reduced to the numerical trace of the velocity only. Another important feature is that the approximations of the velocity, pressure, and gradient converge with the optimal order of k + 1 in the L~2-norm, when polynomials of degree k ≥ 0 are used to represent the approximate variables. Based on the optimal convergence of the HDG method, we apply an element-by-element postprocessing scheme to obtain a new approximate velocity, which converges with order k + 2 in the L~2-norm for k ≥ 1. The postprocessing performed at the element level is less expensive than the solution procedure. Numerical results are provided to assess the performance of the method.
机译:在本文中,我们介绍了Stokes流的可杂交不连续Galerkin方法。通过使用不连续Galerkin方法来离散化Stokes系统的速度-压力-梯度公式,并选择适当的数值通量,并将杂交技术应用于所得离散化方法,从而设计出该方法。该方法的主要特征之一是,它将全局耦合的未知数减少为速度的数值迹线和元素边界上压力的平均值,从而导致所得矩阵的大小显着减小。此外,通过使用增强的拉格朗日方法,将全局耦合的未知数进一步简化为仅速度的数字轨迹。另一个重要特征是,当使用k≥0的多项式表示近似变量时,速度,压力和梯度的逼近在L〜2范数中以k +1的最优顺序收敛。基于HDG方法的最佳收敛性,我们应用逐个元素的后处理方案以获得新的近似速度,当k≥1时,该近似速度在L〜2-范数中收敛于k + 2阶。元素级别比解决过程便宜。提供数值结果以评估该方法的性能。

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