A High-Resolution Cell-Centered Lagrangian Method with a Vorticity-Based Adaptive Nodal Solver for Two-Dimensional Compressible Euler Equations

被引:8
|
作者
Qi, Jin [1 ]
Tian, Baolin [1 ,2 ]
Li, Jiequan [1 ,2 ]
机构
[1] Inst Appl Phys & Computat Math, Lab Computat Phys, Beijing 100094, Peoples R China
[2] Peking Univ, Ctr Appl Phys & Technol, Beijing 100871, Peoples R China
关键词
Cell-centered Lagrangian scheme; CAVEAT scheme; geometry conservation law; vertex velocity; generalized Riemann problem (GRP) solver; RIEMANN SOLVER; SCHEME;
D O I
10.4208/cicp.OA-2017-0068
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
In this work, a second-order high-resolution LAgrangian method with a Vorticity-based Adaptive Nodal Solver (LAVANS) is proposed to overcome the numerical difficulty of traditional Lagrangian methods for the simulation of multidimensional flows. The work mainly include three aspects to improve the performance of the traditional CAVEAT-type cell-centered Lagrangian method. First, a vorticity-based adaptive least-squares method for vertex velocity computation is proposed to suppress nonphysical mesh distortion caused by the traditional five-point-stencil least-squares method. Second, a simple interface flux modification is proposed such that the geometry conservation law is satisfied. Third, a generalized Riemann problem solver is employed in the LAVANS scheme to achieve one-step time-space second-order accuracy. Some typical benchmark numerical tests validate the performance of the LAVANS scheme.
引用
收藏
页码:774 / 790
页数:17
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