物理
多边形网格
解算器
有限体积法
压缩性
动能
机械
体积热力学
体积网格
阶段(地层学)
计算物理学
热力学
经典力学
网格生成
几何学
有限元法
数学优化
生物
数学
古生物学
作者
Chao Zhang,Qibing Li,Peng Song,Jiequan Li
出处
期刊:Physics of Fluids
[American Institute of Physics]
日期:2021-12-01
卷期号:33 (12)
被引量:3
摘要
To meet the demand for complex geometries and high resolutions of small-scale flow structures, a two-stage fourth-order subcell finite volume (SCFV) method combining the gas-kinetic solver (GKS) with subcell techniques for compressible flows on (unstructured) triangular meshes was developed to improve the compactness and efficiency. Compared to the fourth-order GKS-based traditional finite volume (FV) method, the proposed method realizes compactness effectively by subdividing each cell into a set of subcells or control volumes (CVs) and selecting only face-neighboring cells for high-order compact reconstruction. Because a set of CVs in a main cell share the same reconstruction, it is more efficient than traditional FV-GKS, where the solution polynomial on each CV needs to be separately reconstructed. Unlike in the single-stage third-order SCFV-GKS, both accuracy and efficiency are improved significantly by two-stage fourth-order temporal discretization, for which only a second-order gas distribution function is needed to simplify the construction of the flux function and reduce computational costs. For viscous flows, it is not necessary to compute the viscous term with GKS. Compared to the fourth-stage Runge–Kutta method, one half of the stage is saved for achieving fourth-order time accuracy, which also helps to improve the efficiency. Therefore, a new high-order method with compactness, efficiency, and robustness is proposed by combining the SCFV method with the two-stage gas-kinetic flux. Several benchmark cases were tested to demonstrate the performance of the method in compressible flow simulations.
科研通智能强力驱动
Strongly Powered by AbleSci AI