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THE 'CHARACTERISTICS-BASED MATCHING' (CBM) METHOD FOR COMPRESSIBLE FLOW WITH MOVING BOUNDARIES AND INTERFACES

机译:具有移动边界和接口的可压缩流的“基于特征的匹配”(CBM)方法

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Recently, Eulerian methods for capturing interfaces in multi-fluid problems become increasingly popular. While these methods can effectively handle significant deformations of interface, they have been known to produce nonphysical oscillations near material interfaces due to the smeared out density profile and radical change in equation of state across a material interface. One promising recent development to overcome these problems is the 'Ghost Fluid Method' (GFM). While being able to produce excellent results for simulation of gas-gas flows, the GFM boundary treatment is unsatisfactory for the case of liquid-liquid or liquid-gas compressible flows. The present study devotes to a new methodology for boundary condition capturing in multi-fluid compressible flows. The method, named 'Characteristics-Based Matching (CBM)', capitalizes on the recent development of the level set method and related techniques, i.e., PDE-based re-initialization and extrapolation, and the 'Ghost Fluid Method' (GFM). Specifically, the CBM utilizes the level set function to 'capture' interface position and a GFM-like strategy to tag computational nodes. In difference to the GFM method, which employs a boundary condition capturing in primitive variables; the CBM method implements boundary conditions based on a characteristic decomposition in the direction normal to the boundary. Since the method allows to avoid over-specification of boundary conditions by respecting the information flow, we believe that the CBM is able to 'cure' above-mentioned problems of the GFM boundary condition cap- turing technique. In this paper, the method's performance is examined on fluid dynamics problems with stationary and moving boundaries. Numerical results agree well with known analytical or computational solutions and experimental data. Robust and accurate solutions were obtained. In particular, spurious over/under-heating errors, typical for moving boundary treatment by other methods, are essentially eliminated in the CBM solutions.
机译:最近,在多流体问题捕获接口欧拉方法越来越受欢迎。虽然这些方法可以有效处理接口显著变形,因而被已知产生邻近材料界面非物理振荡由于变淡密度分布和跨越材料界面中的状态方程根本的改变。一个有希望的新的发展,以克服这些问题是“虚拟流动法”(GFM)。同时能够产生用于气 - 气的仿真效果极佳流动时,GFM边界治疗是不能令人满意的用于液 - 液或液 - 气可压缩流的情况下。本研究致力于一种新的方法对边界条件在多流体可压缩流捕获。该方法,名为“基于特征匹配(CBM)”,对近期的水平集方法和相关技术,即基于PDE-重新初始化和推断,以及“虚拟流动法”(GFM)的发展大写。具体而言,利用CBM水平集函数以“捕获”界面位置和GFM状策略,以标签的计算节点。在差的GFM方法,它采用一个边界条件在原始变量捕获;基于在法线方向的边界的特征分解的CBM方法实现边界条件。由于该方法允许通过尊重信息流以避免过度说明书的边界条件,我们认为,所述CBM是能够“治愈”上述的GFM边界条件顶盖图灵技术的问题。在本文中,该方法的性能进行检查流体力学问题,固定和移动的界限。计算结果与已知的分析或计算解决方案和实验数据吻合。获得稳健和准确的解决方案。特别地,寄生上/下加热误差,典型地用于通过其它方法移动边界处理,基本上在CBM解决方案消除。

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