Hostname: page-component-586b7cd67f-t7czq Total loading time: 0 Render date: 2024-11-24T05:58:58.277Z Has data issue: false hasContentIssue false

A Hybrid Lattice Boltzmann Flux Solver for Simulation of Viscous Compressible Flows

Published online by Cambridge University Press:  19 September 2016

L. M. Yang*
Affiliation:
State Key Laboratory of Aerodynamics, China Aerodynamics Research and Development Center, Mianyang 621000, China Department of Aerodynamics, College of Aerospace Engineering, Nanjing University of Aeronautics and Astronautics, Yudao Street, Nanjing 210016, China
C. Shu*
Affiliation:
Department of Mechanical Engineering, National University of Singapore, 10 Kent Ridge Crescent, Singapore 119260, Singapore
J. Wu
Affiliation:
Department of Aerodynamics, College of Aerospace Engineering, Nanjing University of Aeronautics and Astronautics, Yudao Street, Nanjing 210016, China
*
*Corresponding author. Email:[email protected] (C. Shu), [email protected] (L. M. Yang)
*Corresponding author. Email:[email protected] (C. Shu), [email protected] (L. M. Yang)
Get access

Abstract

In this paper, a hybrid lattice Boltzmann flux solver (LBFS) is proposed for simulation of viscous compressible flows. In the solver, the finite volume method is applied to solve the Navier-Stokes equations. Different from conventional Navier-Stokes solvers, in this work, the inviscid flux across the cell interface is evaluated by local reconstruction of solution using one-dimensional lattice Boltzmann model, while the viscous flux is still approximated by conventional smooth function approximation. The present work overcomes the two major drawbacks of existing LBFS [28–31], which is used for simulation of inviscid flows. The first one is its ability to simulate viscous flows by including evaluation of viscous flux. The second one is its ability to effectively capture both strong shock waves and thin boundary layers through introduction of a switch function for evaluation of inviscid flux, which takes a value close to zero in the boundary layer and one around the strong shock wave. Numerical experiments demonstrate that the present solver can accurately and effectively simulate hypersonic viscous flows.

MSC classification

Type
Research Article
Copyright
Copyright © Global-Science Press 2016 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

[1] Li, X. L., Fu, D. X. and Ma, Y. W., Optimized group velocity control scheme and DNS of decaying compressible turbulence of relative high turbulent Mach number, Int. J. Numer. Meth. Fluids, 48 (2005), pp. 835852.CrossRefGoogle Scholar
[2] Qiu, J. X., Khoo, B. C. and Shu, C. W., A numerical study for the performance of the Runge-Kutta discontinuous Galerkin method based on different numerical fluxes, J. Comput. Phys., 212 (2006), pp. 540565.CrossRefGoogle Scholar
[3] Zheng, H. W., Shu, C. and Chew, Y. T., An object-oriented and quadrilateral-mesh based solution adaptive algorithm for compressible multi-fluid flows, J. Comput. Phys., 227 (2008), pp. 68956921.CrossRefGoogle Scholar
[4] Yang, L. M., Shu, C., Wu, J., Zhao, N. and Lu, Z. L., Circular function-based gas-kinetic scheme for simulation of inviscid compressible flows, J. Comput. Phys., 255 (2013), pp. 540557.CrossRefGoogle Scholar
[5] Chen, S. Z., Xu, K., Lee, C. B. and Cai, Q. D., A unified gas kinetic scheme with moving mesh and velocity space adaptation, J. Comput. Phys., 231 (2012), pp. 66436664.Google Scholar
[6] Main, A. and Farhat, C., A second-order time-accurate implicit finite volume method with exact two-phase Riemann problems for compressible multi-phase fluid and fluid-structure problems, J. Comput. Phys., 258 (2014), pp. 613633.Google Scholar
[7] McDonald, P. W., The computation of transonic flow through tow-dimensional gas turbine cascades, ASME Paper 71-GT-89, 1971.CrossRefGoogle Scholar
[8] Patankar, S. V. and Spalding, D. B., A calculation procedure for heat, mass and momentum transfer in three-dimensional parabolic flows, Int. J. Heat Mass Transfer, 15 (1972), pp. 17871806.CrossRefGoogle Scholar
[9] Chorin, A. J., A numerical method for solving incompressible viscous flow problems, J. Comput. Phys., 2 (1967), pp. 1226.Google Scholar
[10] Roe, P. L., Approximate Riemann solvers, parameter vectors, and difference schemes, J. Comput. Phys., 43 (1981), pp. 357372.CrossRefGoogle Scholar
[11] Van Leer, B., Flux vector splitting for the Euler equations, Lecture Notes in Physics, 170 (1982), pp. 507512.Google Scholar
[12] Liou, M. S. and Steffen, C. J., A new flux splitting scheme, J. Comput. Phys., 107 (1993), pp. 2339.Google Scholar
[13] Kitamura, K., Shima, E. and Roe, P. L., Evaluation of Euler fluxes for hypersonic heating computations, AIAA J., 48 (2010), pp. 763776.CrossRefGoogle Scholar
[14] Van Leer, B., Thomas, J. L., Roe, P. L. and Newsome, R. W., A comparison of numerical flux formulas for the Euler and Navier-Stokes equations, AIAA Paper, 87-1104, 1987.Google Scholar
[15] Chou, S. Y. and Baganoff, D., Kinetic flux-vector splitting for the Navier-Stokes equations, J. Comput. Phys., 130 (1997), pp. 217230.CrossRefGoogle Scholar
[16] Chae, D., Kim, C. and Rho, O. H., Development of an improved gas-kinetic BGK scheme for inviscid and viscous flows, J. Comput. Phys., 158 (2000), pp. 127.Google Scholar
[17] Xu, K., A gas-kinetic BGK scheme for the Navier-Stokes equations and its connection with artificial dissipation and Godunov method, J. Comput. Phys., 171 (2001), pp. 289335.Google Scholar
[18] Xu, K., Gas-kinetic schemes for unsteady compressible flow simulations, VKI for Fluid Dynamics Lecture Series, 1998-03 (1998).Google Scholar
[19] Benzi, R., Succi, S. and Vergassola, M., The lattice Boltzmann equation: theory and application, Physics Report, 1992.CrossRefGoogle Scholar
[20] Guo, Z. L. and Shu, C., Lattice Boltzmann Method and Its Applications in Engineering, World Scientific Publishing, 2013.CrossRefGoogle Scholar
[21] Kataoka, T. and Tsutahara, M., Lattice Boltzmann method for the compressible Euler equations, Phys. Rev. E., 69 (2004), 056702.Google Scholar
[22] Qu, K., Shu, C. and Chew, Y. T., Alternative method to construct equilibrium distribution functions in lattice-Boltzmann method simulation of inviscid compressible flows at high Mach number, Phys. Rev. E., 75 (2007), 036706.Google Scholar
[23] Li, Q., He, Y. L., Wang, Y. and Tang, G. H., Three-dimensional non-free-parameter lattice-Boltzmann model and its application to inviscid compressible flows, Phys. Lett. A, 373 (2009), pp. 21012108.Google Scholar
[24] Zhong, C. W., Li, K., Sun, J. H., Zhou, C. S. and Xie, J. F., Compressible flow simulation around airfoil based on lattice Boltzmann method, Transactions of Nanjing University of Aeronautics and Astronautics, 26 (2009), pp. 206211.Google Scholar
[25] Xi, H. W., Peng, G. W. and Chou, S. H., Finite-volume lattice Boltzmann method, Phys. Rev. E., 59 (1999), pp. 62026205.CrossRefGoogle ScholarPubMed
[26] Ubertini, S., Bella, G. and Succi, S., Lattice Boltzmann method on unstructured grids: further developments, Phys. Rev. E., 68 (2003), 016701.CrossRefGoogle ScholarPubMed
[27] Stiebler, M., Tölke, J. and Krafczyk, M., An upwind discretization scheme for the finite volume lattice Boltzmann method, Comput. Fluids, 35 (2006), pp. 814819.Google Scholar
[28] Ji, C. Z., Shu, C. and Zhao, N., A lattice Boltzmann method-based flux solver and its application to solve shock tube problem, Mod. Phys. Lett. B., 23 (2009), pp. 313316.CrossRefGoogle Scholar
[29] Yang, L. M., Shu, C. and Wu, J., Development and comparative studies of three non-free parameter lattice Boltzmann models for simulation of compressible flows, Adv. Appl. Math. Mech., 4 (2012), pp. 454472.Google Scholar
[30] Yang, L. M., Shu, C. and Wu, J., A moment conservation-based non-free parameter compressible lattice Boltzmann model and its application for flux evaluation at cell interface, Comput. Fluids, 79 (2013), pp. 190199.Google Scholar
[31] Shu, C., Wang, Y., Yang, L. M. and Wu, J., Lattice Boltzmann flux solver: an efficient approach for numerical simulation of fluid flows, Transactions of Nanjing University of Aeronautics and Astronautics, 31 (2014), pp. 115.Google Scholar
[32] Bhatnagar, P. L., Gross, E. P. and Krook, M., A model for collision processes in gases. I: small amplitude processes in charged and neutral one-component systems, Phys. Rev., 94 (1954), pp. 511525.CrossRefGoogle Scholar
[33] Xu, K. and He, X. Y., Lattice Boltzmann method and gas-kinetic BGK scheme in the low-Mach number viscous flow simulations, J. Comput. Phys., 190 (2003), pp. 100117.Google Scholar
[34] Barth, T. J. and Jespersen, D. C., The design and application of upwind schemes on unstructured meshes, AIAA Paper, 89-0366, 1989.Google Scholar
[35] Blazek, J., Computation Fluid Dynamics: Principle and Application, Elsevier, 2001.Google Scholar
[36] Swanson, R. C. and Radespiel, R., Cell centered and cell vertex multigrid schemes for the Navier-Stokes equations, AIAA J., 29 (1991), pp. 697703.CrossRefGoogle Scholar
[37] Venkatakrishnan, V., Convergence to steady-state solutions of the Euler equations on unstructured grids with limiters, J. Comput. Phys., 118 (1995), pp. 120130.CrossRefGoogle Scholar
[38] Bristeau, M. O., Glowinski, R., Periaux, J. and Viviand, H., Numerical simulation of compressible Navier-Stokes flows, Vieweg and Sonh Braunschweig, Wiesbaden, (1987).CrossRefGoogle Scholar
[39] Jawahar, P. and Kamath, H., A high-resolution procedure for Euler and Navier-Stokes computations on unstructured grids, J. Comput. Phys., 164 (2000), pp. 165203.Google Scholar
[40] Van Leer, B., Toward the ultimate conservative difference scheme iv, a new approach to numerical convection, J. Comput. Phys., 23 (1977), pp. 276299.CrossRefGoogle Scholar
[41] Yoon, S. and Jameson, A., Lower-upper Symmetric-Gauss-Seidel method for the Euler and Navier-Stokes equations, AIAA J., 26 (1988), pp. 10251026.CrossRefGoogle Scholar
[42] Wieting, A. R., Experimental study of shock wave interface heating on a cylindrical leading edge, NASA TM-100484, 1987.Google Scholar
[43] Xu, K., Mao, M. L. and Tang, L., A multidimensional gas-kinetic BGK scheme for hypersonic viscous flow, J. Comput. Phys., 203 (2005), pp. 405421.CrossRefGoogle Scholar