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Model Order Reduction for Determining Bubble Parameters to Attain a Desired Fluid Surface Shape

机译:确定气泡参数以获得所需流体表面形状的模型顺序减少

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摘要

In this paper, a new methodology for predicting fluid free surface shape using Model Order Reduction (MOR) is presented. Proper Orthogonal Decomposition combined with a linear interpolation procedure for its coefficient is applied to a problem involving bubble dynamics near to a free surface. A model is developed to accurately and efficiently capture the variation of the free surface shape with different bubble parameters. In addition, a systematic approach is developed within the MOR framework to find the best initial locations and pressures for a set of bubbles beneath the quiescent free surface such that the resultant free surface attained is close to a desired shape. Predictions of the free surface in two-dimensions and three-dimensions are presented.
机译:在本文中,提出了一种使用模型降阶(MOR)预测流体自由表面形状的新方法。适当的正交分解及其系数的线性插值过程相结合,可应用于涉及自由表面附近气泡动力学的问题。开发了一个模型,以准确有效地捕获具有不同气泡参数的自由表面形状的变化。此外,在MOR框架内开发了一种系统的方法,以便为静态自由表面下的一组气泡找到最佳的初始位置和压力​​,以使所获得的最终自由表面接近所需的形状。提出了二维和三维自由表面的预测。

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