TY - JOUR
T1 - Zonal disturbance region update method for steady compressible viscous flows
AU - Hu, Shuyao
AU - Jiang, Chongwen
AU - Gao, Zhenxun
AU - Lee, Chun Hian
N1 - Publisher Copyright:
© 2019 Elsevier B.V.
PY - 2019/11
Y1 - 2019/11
N2 - The zonal disturbance region update method (zDRUM) presented in this work is an extension of the disturbance region update method (DRUM) to steady compressible viscous flows, capable of achieving convergence acceleration together with lower memory requirements. In the frame of DRUM and the zonal method, the new methodology taking advantage of the characteristics of the time-marching solution process employs two time-dependent dynamic computational domains where solely disturbed cells with non-convergent solutions are updated while the inviscid and the viscous flows are treated separately. A new data structure inspired by the pin art is introduced to store the dynamic computational domains more efficiently. Numerical results of six test cases in a wide range of Mach and Reynolds numbers demonstrate that, firstly, zDRUM accomplishes remarkable convergence speed for solving all compressible viscous flow problems, benefiting from the reduction in the computational effort per iteration; secondly, it is equally robust and efficient for different dimensions and flow types, for various reconstruction, spatial discretization and time-marching schemes; thirdly, it may reduce the maximum memory requirements.
AB - The zonal disturbance region update method (zDRUM) presented in this work is an extension of the disturbance region update method (DRUM) to steady compressible viscous flows, capable of achieving convergence acceleration together with lower memory requirements. In the frame of DRUM and the zonal method, the new methodology taking advantage of the characteristics of the time-marching solution process employs two time-dependent dynamic computational domains where solely disturbed cells with non-convergent solutions are updated while the inviscid and the viscous flows are treated separately. A new data structure inspired by the pin art is introduced to store the dynamic computational domains more efficiently. Numerical results of six test cases in a wide range of Mach and Reynolds numbers demonstrate that, firstly, zDRUM accomplishes remarkable convergence speed for solving all compressible viscous flow problems, benefiting from the reduction in the computational effort per iteration; secondly, it is equally robust and efficient for different dimensions and flow types, for various reconstruction, spatial discretization and time-marching schemes; thirdly, it may reduce the maximum memory requirements.
KW - Computational fluid dynamics
KW - Convergence acceleration
KW - Dynamic computational domain
KW - Finite volume method
KW - Zonal method
UR - https://www.scopus.com/pages/publications/85067925377
U2 - 10.1016/j.cpc.2019.06.015
DO - 10.1016/j.cpc.2019.06.015
M3 - 文章
AN - SCOPUS:85067925377
SN - 0010-4655
VL - 244
SP - 97
EP - 116
JO - Computer Physics Communications
JF - Computer Physics Communications
ER -