可压缩两相流在所有马赫数下的线性隐式激波捕获方案

IF 3.8 2区 物理与天体物理 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Beatrice Battisti , Walter Boscheri
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引用次数: 0

摘要

本文给出了可压缩两相流的半隐式求解器,用于求解Baer-Nunziato模型。对于压力通量和松弛源项,提出了一种新的线性隐式离散化方法,而对于非线性对流贡献,则保留了显式格式。因此,最大允许时间步长上的cfl型稳定条件仅以平均流速为基础,而不以各相声速为基础,因此新方案对所有马赫数均适用。隐式项采用笛卡尔网格上的中心有限差分算子,从而避免了在低马赫数条件下可能破坏精度的数值扩散。为了适应高马赫数流动,采用激波捕获有限体积格式逼近对流通量。非保守项的离散化保证了运动平衡解的保留,使新方法具有良好的平衡性。在混合模型的低马赫极限下,证明了新格式是渐近保持的。通过隐式显式(IMEX)时间步进算法结合全变差递减(TVD)重建技术实现了二级精度。该新方法针对一组涉及不同马赫数制度的测试用例进行基准测试,允许验证准确性和鲁棒性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A linearly implicit shock capturing scheme for compressible two-phase flows at all Mach numbers
We present a semi-implicit solver for the solution of compressible two-phase flows governed by the Baer–Nunziato model. A novel linearly implicit discretization is proposed for the pressure fluxes as well as for the relaxation source terms, whereas an explicit scheme is retained for the nonlinear convective contributions. Consequently, the CFL-type stability condition on the maximum admissible time step is based only on the mean flow velocity and not on the sound speed of each phase, so that the novel scheme works uniformly for all Mach numbers. Central finite difference operators on Cartesian grids are adopted for the implicit terms, thus avoiding any need of numerical diffusion that might destroy accuracy in the low Mach number regime. To comply with high Mach number flows, shock capturing finite volume schemes are employed for the approximation of the convective fluxes. The discretization of the non-conservative terms ensures the preservation of moving equilibrium solutions, making the new method well-balanced. The new scheme is also proven to be asymptotic preserving in the low Mach limit of the mixture model. Second order of accuracy is achieved by means of an implicit-explicit (IMEX) time stepping algorithm combined with a total variation diminishing (TVD) reconstruction technique. The novel method is benchmarked against a set of test cases involving different Mach number regimes, permitting to validate both accuracy and robustness.
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来源期刊
Journal of Computational Physics
Journal of Computational Physics 物理-计算机:跨学科应用
CiteScore
7.60
自引率
14.60%
发文量
763
审稿时长
5.8 months
期刊介绍: Journal of Computational Physics thoroughly treats the computational aspects of physical problems, presenting techniques for the numerical solution of mathematical equations arising in all areas of physics. The journal seeks to emphasize methods that cross disciplinary boundaries. The Journal of Computational Physics also publishes short notes of 4 pages or less (including figures, tables, and references but excluding title pages). Letters to the Editor commenting on articles already published in this Journal will also be considered. Neither notes nor letters should have an abstract.
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