1. 华中科技大学 航空航天学院,武汉,430074
2. 北京航空航天大学 航空科学与工程学院,北京,100191
3. 华中科技大学 能源与动力工程学院 煤燃烧国家重点实验室,武汉,430074
费飞(1984-), 男, 江苏扬州人, 讲师, 研究方向:稀薄气体动力学.E-mail:ffei@hust.edu.cn
纸质出版:2019
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费飞, 张俊, 柳朝晖. 基于动理学模型的多尺度随机粒子方法[J]. 空气动力学学报, 2019, 37(5): 731-739.
FEI Fei, ZHANG Jun, LIU Zhaohui. Multi-scale stochastic particle method based on kinetic models[J]. 2019, 37(5): 731-739.
费飞, 张俊, 柳朝晖. 基于动理学模型的多尺度随机粒子方法[J]. 空气动力学学报, 2019, 37(5): 731-739. DOI: 10.7638/kqdlxxb-2018.0164.
FEI Fei, ZHANG Jun, LIU Zhaohui. Multi-scale stochastic particle method based on kinetic models[J]. 2019, 37(5): 731-739. DOI: 10.7638/kqdlxxb-2018.0164.
传统随机粒子方法的时空离散步长受分子碰撞尺度(分子平均自由程和平均碰撞时间)的限制,当空间和时间离散尺度远大于碰撞特征尺度时,其输运系数的数值误差显著增加,因此如直接利用这类方法对跨流域流动精确求解,其计算效率往往是极低的(如DSMC方法,Fokker-Planck和BGK模型随机粒子方法)。通过对随机粒子方法输运系数离散误差的分析可知,这主要是因为传统算法将模拟分子的运动和碰撞解耦计算引起的。针对这一问题,本文介绍了适合于跨流域流动模拟的多尺度Fokker-Planck和BGK模型随机粒子方法。通过分子运动求解中耦合碰撞作用,在连续流区域,改进的随机粒子方法在较大的时间步长下仍能够满足宏观流体力学方程的输运性质。理论和计算结果显示,多尺度Fokker-Planck和BGK模型随机粒子方法可以高效准确地模拟从稀薄流到连续流的跨流域气体流动。
The spatial and temporal discretization of traditional stochastic particle methods are limited by the inherent collision scales (such as the molecular mean free path and mean collision time). When they are larger than the collision scales
the numerical error of the transport coefficients is significant. Therefore
the computational efficiency is extremely low in the multi-scale flow simulation using traditional stochastic particle methods
such as the DSMC method and stochastic particle methods based on the Fokker-Planck/BGK models. It is noted that their transport coefficients depend on the ratio of time step and mean collision time. This dependence is caused by the decoupling of molecule motion and collision. To overcome these problems
the multi-scale stochastic particle methods based on the Fokker-Planck and BGK model are developed. They can eliminate the restriction of the inherent collision scales by coupling collision in molecule motion. These improved particle schemes can ensure the accuracy of the transport properties in the whole flow regimes independent of the spatial-temporal discretization
and compute the gas flows from rarefied to continuum regimes efficiently and accurately.
LA TORRE F, KENJEREŠ S, MOEREL J L, et al. Hybrid simulations of rarefied supersonic gas flows in micro-nozzles[J]. Computers Fluids, 2011, 49(1):312-322.
TITOV E, GALLAGHER-ROGERS A, LEVIN D, et al. Examination of a collision-limiter, DSMC method for predicting micro-propulsion thruster performance[J]. Journal of Propulsion and Power, 2008, 24(2):311-321.
IVANOV M S, GIMELSHEIN S F. Computational hypersonic rarefied flows[J]. Annual Review of Fluid Mechanics, 1998, 30(1):469-505.
CHEN W F, ZHAO W W, JIANG Z H, et al. A review of moment equations for rarefied gas dynamics[J]. Physics of Gases, 2016, 1(5):9-24. (in Chinese)
LUO J L, ZHOU D, KANG H G, et al. Summarization of experimental methods associated with typical aerodynamic issues[J]. Acta Aerodynamica Sinica, 2014, 32(5):600-609. (in Chinese)
FANG M, LI Z H, LI Z H, et al. Three dimensional DSMC simulation and validation of rarefied air ionization process for sphere-cone blunt body re-entry[J]. Acta Aerodynamica Sinica, 2017, 35(1):39-45. (in Chinese)
JU Y, MARUTA K. Microscale combustion:technology development and fundamental research[J]. Progress in Energy and Combustion Science, 2011, 37(6):669-715.
HASHD B, HASSAN H A, Assessment of schemes for coupling Monte Carlo and Navier Stokes solution methods[J]. J Thermophys Heat Transf, 10(1996), 242-249.
SUN Q, BOYD I D, CANDLER G V. A hybrid continuum/particle approach for modeling rarefied gas flows[J]. J Comput Phys, 194(2004), 256-277.
WU J L, PENG A P, LI Z H, et al. Multi-block patched mesh in gas-kinetic unified algorithm[J]. Acta Aerodynamica Sinica, 2015, 33(5):624-630. (in Chinese)
WIJESINGHE H S, HADJICONSTANTINOU N G. Discussion of hybrid atomistic-continuum methods for multiscale hydrodynamics[J]. International Journal for Multiscale Computational Engineering, 2004, 2(2):189-202.
DIMARCO G, PARESCHI L. Numerical methods for kinetic equations[J]. Acta Numerica, 2014, 23:369-520.
MIEUSSENS L, Discrete velocity model and implicit scheme for the BGK equation of rarefied gas dynamics[J]. Mathematical Models and Methods in Applied Sciences, 2000, 10(08): 1121-1149.
PARESCHI L, PERTHAME B. A spectral method for the homogeneous Boltzmann equation[J]. Transport Theory Statist Phys, 1996, 25:369-383.
WU L, WHITE C, SCANLON T J, et al. Deterministic numerical solutions of the Boltzmann equation using the fast spectral method[J]. Journal of Computational Physics, 2013, 250:27-52.
ALEKSEENKO A, JOSYULA E. Deterministic solution of the spatially homogeneous Boltzmann equation using discontinuous Galerkin discretizations in the velocity space[J]. Journal of Computational Physics, 2014, 272:170-188.
TCHEREMISSINE F G. Solution to the Boltzmann kinetic equation for high-speed flows[J]. Computational Mathematics and Mathematical Physics, 2006, 46(2):315-329.
BIRD G A. Molecular gas dynamics and direct simulation of gas flows[M]. Oxford:Clarendon Press, 1994.
CHEN S, XU K, LEE C, et al. A unified gas kinetic scheme with moving mesh and velocity space adaptation[J]. Journal of Computational Physics, 2012, 231(20):6643-6664.
CHEN S, ZHANG C, ZHU L, et al. A unified implicit scheme for kinetic model equations. Part Ⅰ. Memory reduction technique[J]. Science Bulletin, 2017, 62(2):119-129.
LI Z H, PENG A P, ZHANG H X, et al. Rarefied gas flow simulations using high-order gas-kinetic unified algorithms for Boltzmann model equations[J]. Progress in Aerospace Sciences, 2015, 74:81-113.
LI Z H, WU J L, JIANG X Y, et al. A massively parallel algorithm for hypersonic covering various flow regimes to solve Boltzmann model equation[J]. Acta Aeronautica et Astronautica Sinica, 2015, 36(1):201-212. (in Chinese)
LI Z H, FANG M, JIANG X Y, et al. Convergence proof of the DSMC method and the Gas-kinetic Unified Algorithm for the Boltzmann equation[J]. Science China Physics, Mechanics and Astronomy, 2013, 56(2):404-417.
WU J, LI Z, PENG A, et al. Numerical simulations of unsteady flows from rarefied transition to continuum using gas-kinetic unified algorithm[J]. Advances in Applied Mathematics and Mechanics, 2015, 7(5):569-596.
JENNY P, TORRILHON M, HEINZ S. A solution algorithm for the fluid dynamic equations based on a stochastic model for molecular motion[J]. Journal of Computational Physics, 2010, 229(4):1077-1098.
TUMUKLU O, LI Z, LEVIN D A. Particle ellipsoidal statistical Bhatnagar-Gross-Krook approach for simulation of hypersonic shocks[J]. AIAA Journal, 2016.
FILBET F, JIN S. A class of asymptotic-preserving schemes for kinetic equations and related problems with stiff sources[J]. Journal of Computational Physics, 2010, 229(20):7625-7648.
JIN S, LI Q. A BGK penalization based asymptotic preserving scheme for the multispecies Boltzmann equation[J]. Numerical Methods for Partial Differential Equations, 2013, 29(3):1056-1080.
FEI F, LIU Z, ZHANG J, et al. A Particle Fokker-Planck algorithm with multiscale temporal discretization for rarefied and continuum gas flows[J]. Communications in Computational Physics, 2017, 22(2):338-374.
FEI F, ZHANG J, LIU Z. A unified stochastic particle Bhatnagar-Gross-Krook method for multiscale gas flows[J]. arXiv: 1808.03801[physics. comp-ph]. 2018.
REN W, LIU H, JIN S. An asymptotic-preserving Monte Carlo method for the Boltzmann equation[J]. Journal of Computational Physics, 2014, 276:380-404.
LI Z H, ZHANG H X. Study on gas kinetic unified algorithm for flows from rarefied transition to continuum[J]. Journal of Computational Physics, 2004, 193(2):708-738.
LI Z H, ZHANG H X. Study on gas kinetic unified algorithm for flows from rarefied transition to continuum[J]. Acta Aerodynamica Sinica, 2003, 21(3):255-266. (in Chinese)
XU K, HUANG J C. A unified gas-kinetic scheme for continuum and rarefied flows[J]. Journal of Computational Physics, 2010, 229(20):7747-7764.
XU K. Direct modeling for computational fluid dynamics: construction and application of unified gas-kinetic schemes[M]. World Scientific, Singapore, 2015.
GUO Z, XU K, WANG R. Discrete unified gas kinetic scheme for all Knudsen number flows:low-speed isothermal case[J]. Physical Review E, 2013, 88(3):033305.
CHEN S, XU K. A comparative study of an asymptotic preserving scheme and unified gas-kinetic scheme in continuum flow limit[J]. Journal of Computational Physics, 2015, 288:52-65.
ZWANZIG R. Nonequilibrium statistical mechanics[M]. Oxford University Press, USA, 2001.
ALEXANDER F J, GARCIA A L, ALDER B J. Cell size dependence of transport coefficients in stochastic particle algorithms[J]. Physics of Fluids, 1998, 10(6):1540-1542.
HADJICONSTANTINOU N G. Analysis of discretization in the direct simulation Monte Carlo[J]. Physics of Fluids, 2000, 12(10):2634-2638.
XU K. A gas-kinetic BGK scheme for the Navier-Stokes equations and its connection with artificial dissipation and Godunov method[J]. Journal of Computational Physics, 2001, 171(1):289-335.
CHANDRASEKHAR S. Stochastic problems in physics and astronomy[J]. Reviews of Modern Physics, 1943, 15:1-89.
MATHIAUD J, MIEUSSENS L. A Fokker-Planck model of the Boltzmann equation with correct Prandtl number[J]. Journal of Statistical Physics, 2016, 162:397-414.
HOLWAY L. Kinetic theory of shock structure using an ellipsiodal distribution function[C]. Rarefied Gas Dynamics: Proceedings of the 4th International Symposium, Vol. 1, Academic Press, New York, 1965: 193-215.
CERCIGNANI C. The Boltzmann equation and its applications[M]. Applied Mathematical Sciences, Springer-Verlag, New York, 1988.
ANDRIES P, PERTHAME B. The ES-BGK model equation with correct prandtl number[C]//BARTEL T J, GALLIS M A Eds. Proceedings of the 22nd International Symposium on Rarefied Gas Dynamics, Sydney, Australia, vol. 585, AIP Conference Proceedings, Melville, New York (2001), p. 30.
GALLIS M A, TORCZYNSKI J R. The application of the BGK model in particle simulations[C]. 34th AIAA Thermophysics Conference, AIAA 2000-2360, Denver, CO, June 2000.
WANG W L, BOYD I D. Predicting continuum breakdown in hypersonic viscous flows[J]. Physics of Fluids, 2003, 15(1):91-100.
SOD G A. A survey of several finite difference methods for systems of nonlinear hyperbolic conservation laws[J]. Journal of computational physics, 1978, 27(1):1-31.
TIWARI S, KLAR A, HARDT S. A particle-particle hybrid method for kinetic and continuum equations[J]. Journal of Computational Physics, 2009, 228(18):7109-7124.
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