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Uncertainty quantification of shock–bubble interaction simulations

机译:震动泡沫相互作用模拟的不确定性量化

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摘要

We present a numerical analysis of the shock–bubble interaction with uncertainty in bubble density. We considered a bubble with density uncertainty with a Gaussian distribution, of which effects on the flow structures are analyzed using a stochastic collocation method. The uncertainty is modeled by polynomial chaos, and the effects of the uncertainty are evaluated from the simulation results that are associated with the quadrature points of the bubble density with random fluctuations. Specifically, we focus on the impact of the density uncertainty in a bubble on the flow structures over the entire computational domain. The statistics of the density field, such as mean and standard variance, are investigated. The analysis reveals that the uncertainty of bubble density affects different flow structures with different significance, which provides a global sensitivity map for the whole solution domain. Efforts have been also made to quantify the uncertainties in the motions of different waves and fronts. It is observed that the velocities of different waves/fronts exhibit large differences in the response to the bubble-density uncertainty, which is in accordance with the existing experimental and numerical studies.
机译:我们对气泡密度的不确定度进行了对震动泡沫相互作用的数值分析。我们认为具有高斯分布的密度不确定性的气泡,其中使用随机搭配方法分析对流动结构的影响。不确定性是由多项式混沌建模的,并且从与随机波动的气泡密度的正交点相关联的模拟结果评估不确定性的效果。具体地,我们专注于密度不确定性在整个计算领域的流动结构上的气泡中的影响。研究了密度场的统计,例如平均值和标准方差。该分析表明,气泡密度的不确定性影响具有不同意义的不同流动结构,其为整个解决方案域提供全局敏感性图。还努力量化不同波浪和前线的运动中的不确定性。观察到,不同波/前部的速度表现出对对气泡密度不确定性的响应的巨大差异,这是根据现有的实验和数值研究的响应。

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