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Interpolation Method needed for Numerical Uncertainty Analysis of Computational Fluid Dynamics

机译:计算流体动力学数值不确定性分析所需的插值方法

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Using Computational Fluid Dynamics (CFD) to predict a flow field is an approximation to the exact problem and uncertainties exist There is a method to approximate the errors in CFD via Richardson's Extrapolation. This method is based off of progressive grid refinement To estimate the errors in an unstructured grid, the analyst must interpolate between at least three grids. This paper describes a study to find an appropriate interpolation scheme that can be used in Richardson's extrapolation or other uncertainty method to approximate errors.
机译:使用计算流体动力学(CFD)预测流场是对精确问题的近似,并且存在不确定性。存在一种通过Richardson的外推法对CFD中的误差进行近似的方法。此方法基于渐进式网格细化。要估计非结构化网格中的误差,分析人员必须在至少三个网格之间进行插值。本文描述了一项寻找合适的插值方案的研究,该方案​​可用于Richardson的外推法或其他不确定性方法来近似误差。

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