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首页> 外文期刊>Journal of Computational Physics >Numerical prediction of interfacial instabilities: Sharp interface method (SIM)
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Numerical prediction of interfacial instabilities: Sharp interface method (SIM)

机译:界面不稳定性的数值预测:夏普界面法(SIM)

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We introduce a sharp interface method (SIM) for the direct numerical simulation of unstable fluid-fluid interfaces. The method is based on the level set approach and the structured adaptive mesh refinement technology, endowed with a corridor of irregular, cut-cell grids that resolve the interfacial region to third-order spatial accuracy. Key in that regard are avoidance of numerical mixing, and a least-squares interpolation method that is supported by irregular datasets distinctly on each side of the interface. Results on test problems show our method to be free of the spurious current problem of the continuous surface force method and to converge, on grid refinement, at near-theoretical rates. Simulations of unstable Rayleigh-Taylor and viscous Kelvin-Helmholtz flows are found to converge at near-theoretical rates to the exact results over a wide range of conditions. Further, we show predictions of neutral-stability maps of the viscous Kelvin-Helmholtz flows (Yih instability), as well as self-selection of the most unstable wave-number in multimode simulations of Rayleigh-Taylor instability. All these results were obtained with a simple seeding of random infinitesimal disturbances of interface-shape, as opposed to seeding by a complete eigenmode. For other than elementary flows the latter would normally not be available, and extremely difficult to obtain if at all. Sample comparisons with our code adapted to mimic typical diffuse interface treatments were not satisfactory for shear-dominated flows. On the other hand the sharp dynamics of our method would appear to be compatible and possibly advantageous to any interfacial flow algorithm in which the interface is represented as a discrete Heaviside function. Published by Elsevier Inc.
机译:我们引入了一种敏锐的界面方法(SIM),用于不稳定流体界面的直接数值模拟。该方法基于水平集方法和结构化的自适应网格细化技术,该技术具有不规则的,切割单元网格的走廊,可将界面区域解析为三阶空间精度。在这方面,关键是避免数字混合,并且最小二乘插值方法在界面的每一侧都有明显的不规则数据集支持。测试问题的结果表明,我们的方法摆脱了连续表面力方法的杂散电流问题,并且在网格细化上以接近理论的速率收敛。发现不稳定的Rayleigh-Taylor流和粘性Kelvin-Helmholtz流的模拟以接近理论的速率收敛到各种条件下的精确结果。此外,我们显示了粘性Kelvin-Helmholtz流(Yih不稳定性)的中性稳定性图的预测,以及在瑞利-泰勒不稳定性多模模拟中最不稳定波数的自选择。所有这些结果都是通过对界面形状的随机无穷小扰动进行简单播种而获得的,而不是通过完整的本征模进行播种。对于基本流程以外的其他流程,通常将不可用,并且根本很难获得。与我们的适用于模拟典型扩散界面处理的代码进行的样本比较对于剪切为主的流动而言并不令人满意。另一方面,我们的方法的敏锐动力学似乎与任何以界面表示为离散Heaviside函数的界面流动算法兼容,并且可能具有优势。由Elsevier Inc.发布

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