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arXiv 0806.3514math.NAcs.NA

不可压缩纳维-斯托克斯方程的变分多尺度公式的一致牛顿-拉夫森法与定点法比较

Consistent Newton-Raphson vs. fixed-point for variational multiscale formulations for incompressible Navier-Stokes

D. Z. Turner, K. B. Nakshatrala, K. D. Hjelmstad

AI总结:

本文针对不可压缩纳维-斯托克斯方程的变分多尺度有限元公式,比较了一致牛顿-拉夫森法与定点迭代求解策略,证明了一致牛顿-拉夫森法收敛更快且能解决定点法发散的问题。

摘要:

以下论文比较了用于不可压缩纳维-斯托克斯方程的变分多尺度有限元公式的一致牛顿-拉夫森法和定点迭代求解策略。本研究的主要贡献包括纳维-斯托克斯方程的一致线性化,这为需要一致方法基础的先进算法提供了途径。我们还比较了仅在线性化上不同但保持所有其他等价性的公式。利用变分多尺度概念,我们构建了一个稳定化公式(可视为MINI单元对非线性纳维-斯托克斯的扩展)。然后,我们通过定点迭代对问题进行线性化,并通过推导更新方程的一致切线矩阵,通过牛顿-拉夫森迭代获得解。我们表明,对于几个测试问题,一致公式在更少的迭代次数内收敛,正如预期。我们还表明,对于定点迭代发散的问题,一致公式收敛。我们展示了两种方法在雷诺数高达5000的问题上的结果。

英文摘要:

The following paper compares a consistent Newton-Raphson and fixed-point iteration based solution strategy for a variational multiscale finite element formulation for incompressible Navier-Stokes. The main contributions of this work include a consistent linearization of the Navier-Stokes equations, which provides an avenue for advanced algorithms that require origins in a consistent method. We also present a comparison between formulations that differ only in their linearization, but maintain all other equivalences. Using the variational multiscale concept, we construct a stabilized formulation (that may be considered an extension of the MINI element to nonlinear Navier-Stokes). We then linearize the problem using fixed-point iteration and by deriving a consistent tangent matrix for the update equation to obtain the solution via Newton-Raphson iterations. We show that the consistent formulation converges in fewer iterations, as expected, for several test problems. We also show that the consistent formulation converges for problems for which fixed-point iteration diverges. We present the results of both methods for problems of Reynold's number up to 5000.

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