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Adaptive control of error and stability of h-p approximations of the transient Navier-Stokes equations.

机译:暂态Navier-Stokes方程的h-p近似值的误差和稳定性的自适应控制。

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A posteriori error estimation in finite element analysis has become an essential tool to develop reliable adaptive methods which improve the efficiency and accuracy of numerical simulations. In this dissertation, a new methodology, rigorous mathematically and easily applicable, is proposed to estimate and control the numerical errors in finite element approximations of the time-dependent incompressible Navier-Stokes equations. The approach is based on the definition of two residuals, namely the residual with respect to the momentum equation and the residual with respect to the continuity equation. These residuals, which represent the sources of errors due to the finite element discretization, are shown to provide two error estimates in specific norms of the solution space. These estimates are local in time and do not reflect the errors due to the time discretization.; The error estimates are utilized to design an adaptive strategy, in which the finite element mesh is automatically adjusted when and where it is necessary during the flow evolution. A clear advantage in the present approach is to treat the residuals individually, as a study of the numerical stability with respect to the mesh size reveals that the residual in the continuity equation is responsible for unphysical and unstable perturbations. Thus, the proposed adaptation scheme takes in account this residual first when refining the mesh. The performance of this strategy for error and stability control is demonstrated on two-dimensional applications with moderate Reynolds numbers.; Another important collection of new results presented in this study deals with error estimates in quantities of interest, by which is meant quantities of the solution that can be characterized as linear functionals on the solution spaces, such as a component of the velocity or stress at a point. This theory represents a significant alternative to the existing theory of a posteriori error estimation which is primarily concerned with global, energy-norm estimates. Applications of the technique to an elliptic model problem and to the Stokes equations show that such estimates are quite accurate and that upper and lower bounds on the error can be attained. The concept of goal-oriented adaptivity is then introduced, which embodies adaptation procedures designed to control the approximation error in specific quantities of interest. Numerical experiments suggest that such procedures greatly accelerate the calculation of important features of the solution to the levels of accuracy as compared to traditional adaptive schemes based on global estimates.
机译:有限元分析中的后验误差估计已成为开发可靠的自适应方法的重要工具,该方法可提高数值模拟的效率和准确性。本文提出了一种新的方法,该方法在数学上严格且易于应用,可以估计和控制时变不可压缩Navier-Stokes方程的有限元逼近中的数值误差。该方法基于两个残差的定义,即相对于动量方程的残差和相对于连续性方程的残差。这些残差代表有限元离散化所导致的误差来源,显示出它们在解空间的特定范式中提供了两个误差估计。这些估计在时间上是局部的,并且不反映由于时间离散而引起的误差。利用误差估计来设计自适应策略,其中在流动演化过程中何时何地需要时自动调整有限元网格。本方法的一个明显优势是可以单独处理残差,因为有关网格大小的数值稳定性的研究表明,连续性方程中的残差是造成非物理扰动和不稳定扰动的原因。因此,所提出的自适应方案在细化网格时首先考虑该残余。在具有中等雷诺数的二维应用中证明了这种错误和稳定性控制策略的性能。这项研究中提出的新结果的另一个重要集合涉及感兴趣量的误差估计,这意味着可以以溶液空间上的线性函数为特征的溶液量,例如速度或应力的分量。点。该理论代表了现有的后验误差估计理论的重要替代方法,后者主要涉及全局的能量范数估计。该技术在椭圆模型问题和Stokes方程中的应用表明,这种估计非常准确,并且可以实现误差的上下限。然后介绍了面向目标的适应性概念,该概念体现了适应性过程,这些过程旨在控制特定感兴趣量中的近似误差。数值实验表明,与基于全局估计的传统自适应方案相比,此类程序极大地加快了解决方案重要特征的计算速度,达到了准确性水平。

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