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arXiv 2501.02416physics.flu-dynphysics.comp-ph

波或物理适配的多维迎风方法用于可压缩多相流

Wave or Physics-Appropriate Multidimensional Upwinding Approach for Compressible Multiphase Flows

Amareshwara Sainadh Chamarthi

AI总结:

本文提出一种多维算法,利用特征空间中欧拉方程的波结构和物理空间中变量的物理性质,通过不同重建方案增强准确性并减少数值伪影。

摘要:

本文介绍了一种用于模拟多相流的多维算法,利用特征空间中欧拉方程的波结构和物理空间中变量的物理性质。该算法在特征空间中对声波、涡度波和熵波应用不同的重建方案,以提高精度并减少数值伪影。在特征空间中,使用迎风方案处理声波,中央方案处理涡度和熵波,以及THINC重建用于材料界面和接触不连续性(熵波的子集)。该方法可防止周期性剪切层中的虚假涡旋,准确捕捉气体-气体和气体-液体相互作用中的涡旋结构,并提高冲击-熵波相互作用的准确性。在物理空间中,使用THINC计算接触不连续性和材料界面的相密度,同时用中央方案计算切向速度以改善涡旋结构。还引入了一种自适应重建技术,以减轻由于原始变量重建引起的激波附近振荡,通过结合原始变量和特征变量重建,并利用刚性气体参数识别液相。所提出的多维迎风方法优于传统方案,在复杂测试案例中表现出更准确的物理现象捕捉、减少数值伪影和更好地匹配实验结果。

英文摘要:

This paper introduces multidimensional algorithms for simulating multiphase flows, leveraging the wave structure of the Euler equations in characteristic space and the physical properties of variables in physical space. The algorithm applies different reconstruction schemes to acoustic, vorticity, and entropy waves in characteristic space to enhance accuracy and minimize numerical artifacts. In characteristic space, upwind schemes are used for acoustic waves, central schemes for vorticity and entropy waves, and Tangent of Hyper-bola for INterface Capturing (THINC) reconstruction for material interfaces and contact discontinuities (a subset of entropy waves). This approach prevents spurious vortices in periodic shear layers, accurately captures vortical structures in gas-gas and gas-liquid interactions, and improves the accuracy of shock-entropy wave interactions. In physical space, phasic densities are computed using THINC in regions of contact discontinuities and material interfaces, while tangential velocities are calculated with central schemes to improve vortical structures. An adaptive reconstruction technique is also introduced to mitigate oscillations near shocks, which arise from primitive variable reconstruction, by combining primitive and characteristic variable reconstructions with the liquid phase being identified using the stiffened gas parameter. The proposed multidimensional upwinding approach outperforms traditional schemes, demonstrating superior accuracy in capturing physical phenomena, reducing numerical artifacts, and better matching experimental results across complex test cases.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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