Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.compfluid.2013.03.020
Title: A moment conservation-based non-free parameter compressible lattice Boltzmann model and its application for flux evaluation at cell interface
Authors: Yang, L.M.
Shu, C. 
Wu, J.
Keywords: Compressible flows
Conservation forms of moments
Euler equations
FV-LBM
LBM
Non-free parameter D1Q4 model
Issue Date: 5-Jun-2013
Source: Yang, L.M., Shu, C., Wu, J. (2013-06-05). A moment conservation-based non-free parameter compressible lattice Boltzmann model and its application for flux evaluation at cell interface. Computers and Fluids 79 : 190-199. ScholarBank@NUS Repository. https://doi.org/10.1016/j.compfluid.2013.03.020
Abstract: Based on the idea of constructing equilibrium distribution functions directly from the conservation forms of moments, a platform for developing non-free parameter lattice Boltzmann models is presented in this work. It is found that the existing compressible lattice Boltzmann models such as D1Q4L2 and D1Q5L2 models of Qu et al. [28,29] and D1Q5 model of Kataoka and Tsutahara [22] can be derived by the platform. This paper goes further to determine the lattice velocities of a non-free parameter D1Q4 model by incorporating two additional higher order conservation forms of moments. Since the lattice velocities are determined physically rather than specified artificially, the non-free parameter D1Q4 model can be applied to simulate compressible flows with a wide range of Mach numbers. The developed non-free parameter D1Q4 model is then applied to a local Riemann problem at the cell interface to establish a new Riemann flux solver for the solution of Euler equations by the finite volume method (FVM). Some test problems, such as Sod shock tube, shock reflection, compressible flows around NACA0012 airfoil, hypersonic flows around a blunt body and double Mach reflection, are simulated to illustrate the capability of present solver. Numerical results show that the present non-free parameter D1Q4 model can provide accurate results with faster convergence rate. © 2013 Elsevier Ltd.
Source Title: Computers and Fluids
URI: http://scholarbank.nus.edu.sg/handle/10635/84792
ISSN: 00457930
DOI: 10.1016/j.compfluid.2013.03.020
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