Numerical and Parameter Uncertainties: Are They Independent?

L. Eça, Rui Lopes, F. Pereira, G. Vaz
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引用次数: 2

Abstract

In the Validation procedure proposed by the ASME V&V 20 Standard, the quantification of the modeling error of mathematical models solved by Computational Fluid Dynamics (CFD) requires the estimation of the experimental, numerical and parameter uncertainties. In its simplest form, these uncertainties are assumed independent. Parameter uncertainty is typically a consequence of lack of exact values for the boundary conditions and/or fluid properties. Its evaluation is handled by the broad field of uncertainty quantification. However, this evaluation requires simulations that are unavoidably affected by numerical errors. Therefore, it may be questionable if parameter and numerical uncertainties are really independent or, alternatively, how small must be the numerical uncertainty to estimate parameter uncertainties without its influence. In this paper we address the relation between parameter and numerical uncertainties using two test cases: the transition from laminar to turbulent flow on a flat plate at a Reynolds number of 107; the flow around the Eppler 387 airfoil at an angle of attack of 1o and Re = 3 × 105. The mathematical model for the three cases is the Reynolds-Averaged Navier-Stokes equations supplemented by the k–ω SST eddy-viscosity turbulence model and the one-equation γ transition model. Sensitivity coefficients are determined for the selected quantities of interest using the local sensitivity method and finite-differences. These estimates are performed for different levels of grid refinement to check its dependency on the estimated numerical error obtained from power series expansions. Results obtained in this study suggest that the evaluation of the parameter uncertainty only becomes independent of the numerical error when the simulation results are in the asymptotic range.
数值和参数的不确定性:它们是独立的吗?
在ASME V&V 20标准提出的验证程序中,计算流体力学(CFD)求解的数学模型建模误差的量化需要估计实验、数值和参数的不确定性。在最简单的形式中,假定这些不确定性是独立的。参数的不确定性通常是边界条件和/或流体性质缺乏精确值的结果。它的评价是由广泛的不确定度量化领域来处理的。然而,这种评估需要的模拟不可避免地受到数值误差的影响。因此,参数不确定性和数值不确定性是否真的独立,或者数值不确定性必须有多小才能在不受参数不确定性影响的情况下估计参数不确定性,这可能是值得怀疑的。本文用两个测试用例来讨论参数和数值不确定性之间的关系:雷诺数为107的平板上从层流到湍流的过渡;在迎角为10和Re = 3 × 105时,围绕Eppler 387翼型的流动。这三种情况的数学模型为reynolds - average Navier-Stokes方程,辅以k -ω海表温度涡粘湍流模型和单方程γ跃迁模型。采用局部灵敏度法和有限差分法确定感兴趣的选定量的灵敏度系数。这些估计是对不同级别的网格细化进行的,以检查其依赖于由幂级数展开得到的估计数值误差。研究结果表明,只有当仿真结果处于渐近范围内时,参数不确定性的评估才与数值误差无关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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