A proposed methodology for computational fluid dynamics code verification, calibration, and validation

D.P. Aeschliman, W. Oberkampf, F.G. Blottner
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引用次数: 28

Abstract

Verification, calibration, and validation (VCV) of Computational Fluid Dynamics (CFD) codes is an essential element of the code development process. The exact manner in which code VCV activities are planned and conducted, however, is critically important. It is suggested that the way in which code validation, in particular, is often conducted-by comparison to published experimental data obtained for other purposes-is in general difficult and unsatisfactory, and that a different approach is required. This paper describes a proposed methodology for CFD code VCV that meets the technical requirements and is philosophically consistent with code development needs. The proposed methodology stresses teamwork and cooperation between code developers and experimentalists throughout the VCV process, and takes advantage of certain synergisms between CFD and experiment. A novel approach to uncertainty analysis is described which can both distinguish between and quantify various types of experimental error, and whose attributes are used to help define an appropriate experimental design for code VCV experiments. The methodology is demonstrated with an example of laminar, hypersonic, near perfect gas, 3-dimensional flow over a sliced sphere/cone of varying geometrical complexity.
提出了一种计算流体动力学代码验证、校准和验证的方法
计算流体动力学(CFD)代码的验证、校准和验证(VCV)是代码开发过程的基本要素。然而,计划和执行代码VCV活动的确切方式是至关重要的。有人建议,通常进行代码验证的方式(通过与为其他目的获得的已发表的实验数据进行比较)通常是困难的和不令人满意的,并且需要一种不同的方法。本文描述了一种CFD代码VCV的建议方法,该方法满足技术要求,并且在哲学上与代码开发需求一致。所提出的方法强调在整个VCV过程中代码开发人员和实验人员之间的团队合作,并利用CFD和实验之间的某些协同作用。描述了一种新的不确定性分析方法,该方法可以区分和量化各种类型的实验误差,并使用其属性来帮助定义适当的代码VCV实验实验设计。该方法以层流、高超声速、接近完美气体、三维流动的不同几何复杂性的切片球/锥为例进行了验证。
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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