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Gas-kinetic schemes for flow computations Kun Xu Mathematics Department Hong Kong University of Science and Technology.

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Presentation on theme: "Gas-kinetic schemes for flow computations Kun Xu Mathematics Department Hong Kong University of Science and Technology."— Presentation transcript:

1 Gas-kinetic schemes for flow computations Kun Xu Mathematics Department Hong Kong University of Science and Technology

2 Acknowledgements: RGC6108/02E, 6116/03E, 6102/04E,6210/05E 6102/04E,6210/05E Collaborators: Changqiu Jin, Meiliang Mao, Huazhong Tang, Chun-lin Tian Huazhong Tang, Chun-lin Tian

3 Contents Gas-kinetic BGK-NS flow solver Navier-Stokes equations under gravitational field Two component flow MHD Beyond Navier-Stokes equations

4 FLUID MODELING Molecular Models Continuum Models Euler Navier-Stokes Burnett Deterministic Statistical MD Liouville DSMC Boltzmann Chapman-Enskog 0.001 0.110 Kn Continuum Slip flow Transition Free moleculae

5 Gas-kinetic BGK scheme for the Navier-Stokes equations fluxes

6 Based on the gas-kinetic BGK model, a time dependent gas distribution function is obtained under the following IC, Update of conservative flow variables, Gas-kinetic Finite Volume Scheme

7 BGK model: Equilibrium state: Collision time: To the Navier-Stokes order: in the smooth flow region !!! A single temperature is assumed:

8 Relation between and macroscopic variables Conservation constraint

9 BGK flow solver Integral solution of the BGK model

10 Initial gas distribution function on both sides of a cell interface. The corresponding is where the non-equilibrium states have no contributions to conservative macroscopic variables,

11 Equilibrium state

12 Equilibrium state is determined by

13 Where is determined by

14 Numerical fluxes : Update of flow variables:

15 Double Cones Attached shock Detached shock

16 Double-cone M=9.50 (RUN 28 in experiment) Mesh: 500x100

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19 Unified moving mesh method Unified coordinate system ( W.H.Hui, 1999 ) physical domaincomputational domain geometric conservation law

20 The 2D BGK model under the transformation Particle velocitymacroscopic velocityGrid velocity

21 The computed paths fluttering tumbling - - - -

22 computed experiment

23 fluid force as functions of phase

24

25 3D cavity flow

26 BGK model under gravitational field: Integral solution: where the trajectory is

27 Integral solution: Gravitational potential

28 where for x<0 for x>0 X=0

29 Initial non-equilibrium state: Equilibrium state

30 The gas distribution function at a cell interface: Flux with gravitational effect: Flux without gravitational effect (multi-dimensional):

31 N=500000 steps Steady state under gravitational potential Diamond: with gravitational force term in flux Solid line: without G in flux

32

33 andhave different. Gas-kinetic scheme for multi-component flow

34 Gas distribution function at a cell interface:

35 Shock tube test:

36 = + Sod test

37 A M s =1.22 shock wave in air hits a helium cylindrical bubble

38 Shock helium bubble interaction (Y.S. Lian and K. Xu, JCP 2000)

39 Ideal Magnetohydrodynamics Equations in 1D

40 Moments of a gas distribution function: Equilibrium state: The macroscopic flow variables are the moments of g. For example, Then, according to particle velocities, we can split flow variables as:

41 With the definition of moments: We have Recursive relation:

42 Therefore,

43 Kinetic Flux vector splitting scheme (Croisille, Khanfir, and Ghanteur, 1995) j+1/2 free transport

44 Flux splitting for MHD equations:

45 Construction of equilibrium state: where, j+1/2 free transport collision j j+1

46 Equilibrium flux function: The BGK flux is a combination of non-equilibrium and equilibrium ones: (K. Xu, JCP159)

47

48 1D Brio-Wu test case: Left state: Right state: density x-component velocity solid lines: current BGK scheme dash-line: Roe-MHD solver

49 y-component velocityBy distribution +: BGK, o: Roe-MHD, *: KFVS shock Contact discontinuity

50 Orszag-Tang MHD Turbulence: t=0.5 (a): density (b): gas pressure (c): magnetic pressure (d): kinetic energy 5th WENO

51 t=2.0 (a): density (b): gas pressure (c): magnetic pressure (d): kinetic energy 5th WENO

52 t=3.0 (a): density (b): gas pressure (c): magnetic pressure (d): kinetic energy 5th WENO

53 t=8.0 (a): density (b): gas pressure (c): magnetic pressure (d): kinetic energy

54 3D examples:

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59 BGK (100^3)

60 FLUID MODELING Molecular Models Continuum Models Euler Navier-Stokes Burnett Deterministic Statistical MD Liouville DSMC Boltzmann Chapman-Enskog 0.001 0.110 Kn Continuum Slip flow Transition Free moleculae new continuum models

61 Generalization of Constitutive Relationship Gas-kinetic BGK model: Compatibility condition: Constitutive relationship:

62 is obtained by substituting the above solution into BGK eqn. The solution becomes With the assumption of closed solution of the BGK model:

63 A time-dependent gas distribution function at a cell interface where Extended Navier-Stokes-type Equations Viscosity and heat conduction coefficient

64 Argon shock structure Observation: Experiment: Alsmeyer (‘76), Schmidt (‘69),... Shock thickness: Mean free path (upstream):

65 Density distribution in Mach=9 Argon shock front Circles: experimental data (Alsmeyer, ‘76); dash-dot line: BGK-NS; solid line: BGK-Xu

66 Diatomic gas: N2 (two temperature model: bulk viscosity is replaced by temperature relaxation),

67 BGK Compatibility condition

68 M=12.9 nitrogen shock structure

69 M=11 nitrogen shock structure Efficiency: DSMC: hours Extended BGK: minutes


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