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Robust analysis of cavitating flows in the Venturi tube

机译:对文丘里管中的空化流进行稳健分析

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Modeling the complex physical structures of cavitating flows makes numerical simulation far to be predictive, and still a challenging issue. Understanding the role of physical and parametric uncertainties in cavitating flows is of primary importance in order to obtain reliable numerical solutions. In this paper, the impact of various sources of uncertainty on the prediction of cavitating flows is analyzed by coupling a non-intrusive stochastic method with a cavitating CFD solver. The proposed analysis is applied to a Venturi tube, where experimental data concerning vapor formation are available in the literature. Numerical solutions with their associated error bars are compared to the experimental curves displaying a large sensitivity to the uncertainties of inlet boundary conditions. Furthermore, this is confirmed by computing the hierarchy of most predominant uncertainties by means of an ANOVA analysis. Finally, a simple algorithm is proposed in order to provide an optimized set of parameters for the cavitation model, thus permitting to obtain a deterministic solution equal to the most probable one when considering physical inlet uncertainties.
机译:对空化流的复杂物理结构进行建模,使得数值模拟远非可预测的,而且仍然是一个具有挑战性的问题。为了获得可靠的数值解,了解物理和参数不确定性在空化流中的作用至关重要。在本文中,通过将非侵入式随机方法与空化CFD求解器耦合,分析了各种不确定性源对空化流预测的影响。拟议的分析应用于文丘里管,在文献中可获得有关蒸汽形成的实验数据。将数值解决方案及其相关的误差线与实验曲线进行比较,实验曲线对进口边界条件的不确定性表现出极大的敏感性。此外,可以通过ANOVA分析计算出最主要的不确定性等级来确认这一点。最后,提出了一种简单的算法,以便为空化模型提供一组优化的参数,从而在考虑物理入口不确定性时可以得到等于最可能的确定性解决方案。

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