Spectral difference method with a posteriori limiting: II - Application to low Mach number flows

被引:0
|
作者
Velasco-Romero, David A. [1 ,2 ]
Teyssier, Romain [2 ]
机构
[1] Univ Zurich, Inst Computat Sci, Winterthurerstr 190, CH-8057 Zurich, Switzerland
[2] Princeton Univ, Dept Astrophys Sci, 4 Ivy Lane, Princeton, NJ 08544 USA
关键词
convection; hydrodynamics; methods: numerical; DISCONTINUOUS GALERKIN SCHEME; ADAPTIVE MESH REFINEMENT; FINITE-ELEMENT-METHOD; HYDRODYNAMICS CODE; CONSTRAINED-TRANSPORT; RIEMANN SOLVER; SIMULATIONS; MAGNETOHYDRODYNAMICS; PERFORMANCE; CONVECTION;
D O I
10.1093/mnras/staf133
中图分类号
P1 [天文学];
学科分类号
0704 ;
摘要
Stellar convection poses two main gargantuan challenges for astrophysical fluid solvers: low-Mach number flows and minuscule perturbations over steeply stratified hydrostatic equilibria. Most methods exhibit excessive numerical diffusion and are unable to capture the correct solution due to large truncation errors. In this paper, we analyse the performance of the spectral difference (SD) method under these extreme conditions using an arbitrarily high-order shock capturing scheme with a posteriori limiting. We include both a modification to the HLLC Riemann solver adapted to low Mach number flows (L-HLLC) and a well-balanced scheme to properly evolve perturbations over steep equilibrium solutions. We evaluate the performance of our method using a series of test tailored specifically for stellar convection. We observe that our high-order SD method is capable of dealing with very subsonic flows without necessarily using the modified Riemann solver. We find however that the well-balanced framework is unavoidable if one wants to capture accurately small amplitude convective and acoustic modes. Analysing the temporal and spatial evolution of the turbulent kinetic energy, we show that our fourth-order SD scheme seems to emerge as an optimal variant to solve this difficult numerical problem.
引用
收藏
页码:2387 / 2402
页数:16
相关论文
共 34 条
  • [1] Spectral difference method with a posteriori limiting: application to the Euler equations in one and two space dimensions
    Velasco Romero, David A.
    Han-Veiga, Maria
    Teyssier, Romain
    MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY, 2023, 520 (03) : 3591 - 3608
  • [2] MAESTRO: AN ADAPTIVE LOW MACH NUMBER HYDRODYNAMICS ALGORITHM FOR STELLAR FLOWS
    Nonaka, A.
    Almgren, A. S.
    Bell, J. B.
    Lijewski, M. J.
    Malone, C. M.
    Zingale, M.
    ASTROPHYSICAL JOURNAL SUPPLEMENT SERIES, 2010, 188 (02) : 358 - 383
  • [3] A Low Mach Number Model for Moist Atmospheric Flows
    Duarte, Max
    Almgren, Ann S.
    Bell, John B.
    JOURNAL OF THE ATMOSPHERIC SCIENCES, 2015, 72 (04) : 1605 - 1620
  • [4] Low Mach Number Modeling of Stratified Flows
    Almgren, Ann
    Bell, John
    Nonaka, Andrew
    Zingale, Michael
    FINITE VOLUMES FOR COMPLEX APPLICATIONS VII - METHODS AND THEORETICAL ASPECTS, 2014, 77 : 3 - 15
  • [5] Semiconservative reduced speed of sound technique for low Mach number flows with large density variations
    Iijima, H.
    Hotta, H.
    Imada, S.
    ASTRONOMY & ASTROPHYSICS, 2019, 622
  • [6] Low Mach number modeling of Type Ia supernovae. II. Energy evolution
    Almgren, A. S.
    Bell, J. B.
    Rendleman, C. A.
    Zingale, M.
    ASTROPHYSICAL JOURNAL, 2006, 649 (02) : 927 - 938
  • [7] Performance of high-order Godunov-type methods in simulations of astrophysical low Mach number flows
    Leidi, G.
    Andrassy, R.
    Barsukow, W.
    Higl, J.
    Edelmann, P. V. F.
    Roepke, F. K.
    ASTRONOMY & ASTROPHYSICS, 2024, 686
  • [8] Perturbation analysis of baroclinic torque in low-Mach-number flows
    Zhang, Shengqi
    Xia, Zhenhua
    Chen, Shiyi
    JOURNAL OF FLUID MECHANICS, 2021, 930
  • [9] CONDUCTION IN LOW MACH NUMBER FLOWS. I. LINEAR AND WEAKLY NONLINEAR REGIMES
    Lecoanet, Daniel
    Brown, Benjamin P.
    Zweibel, Ellen G.
    Burns, Keaton J.
    Oishi, Jeffrey S.
    Vasil, Geoffrey M.
    ASTROPHYSICAL JOURNAL, 2014, 797 (02)
  • [10] A projection hybrid finite volume/element method for low-Mach number flows
    Bermudez, A.
    Ferrin, J. L.
    Saavedra, L.
    Vazquez-Cendona, M. E.
    JOURNAL OF COMPUTATIONAL PHYSICS, 2014, 271 : 360 - 378