Русская версия English version

Simulation of continuous flows with discrete models

S.P. Bobkov, A.S. Chernjavskaja

Vestnik IGEU, 2019 issue 3, pp. 68—75

Download PDF

Abstract in English: 

Background. The vast majority of heat and power processes include the motion of significant amounts of gases and liquids. This makes it important and quite urgent to develop approaches for computer simulation and visualization of continuum flows in technological devices and pipelines. A whole set of new approaches to mathematical modelling of continuum flows has been recently developed. The most common one is using discrete mathematical models for these purposes. Discrete approaches can simplify modeling procedures in cases where traditional methods require complex time-consuming calculations. At the same time, correctness of description of various flow regimes by the discrete methods is often questioned. The second problem of the mentioned models is a large-scale transition from model discrete parameters to generally accepted macroscopic characteristics of flows. The purpose of this work is to determine continuous flow regimes that can be correctly described by certain models.

Materials and methods. The paper considers discrete dynamic models in the form of lattice gases. A continuum in this case is represented by a set of particles moving only in allowed directions. Despite certain limitations, there is solid evidence that lattice gases quite successfully describe a whole range of hydrodynamic phenomena, and the obtained results do not contradict the generally accepted views on the physical nature of continuum motion processes.

Results. The paper describes approaches that allow estimating flow parameters using generally accepted macroscopic indicators. It also studies possible application areas of lattice gas models using the motion of virtual particles on a spatial lattice (HPP and FHP models) and the model based on the discrete analogue of the Boltzmann equation (LBM model) to simulate and visualize continuum flows.

Conclusions. The obtained data are in good agreement with the generally accepted results and do not contradict the provisions of classical hydrodynamics. The paper shows that the models considering particle collisions (HPP and FHP) are applicable to describing gas flows in laminar regimes. The LBM model should be considered to be more correct for simulation and visualization of real fluid flows.

 

 

References in English: 

1. Wolfram, S. A new kind of science. Wolfram media inc, Champaign, IL, 2002. 1197 p. doi: 10.1017/s1079898600004200

2. Toffoli, T., Margolus, N. Cellular Automata Machines. Cambridge, Massachusetts: The MIT Press, 1987. 280 p.

3. Bandman, O.L. Kletochno-avtomatnye modeli prostranstvennoy dinamiki [Three-dimensional dynamic models of cellular automata]. Sistemnaya informatika, 2006, issue 10, pp. 59–111. (in Russian).

4. Wolfram, S. Cellular automaton fluids 1: Basic theory. J. Stat. Phys, 1986, vol. 45, pp. 471–526. doi: 10.1007/bf01021083

5. Clavin, P., Lallemand, P., Pomeau, Y. and Searby, G. Simulatoin of free boundaries in flow system by lattice-gas models. Journal of Fluid Mechanics, 1988, vol. 188, pp. 437–464. doi: 10.1017/s0022112088000795

6. Hardy, J., de Pazzis, O. Pomeau, Y. Molecular dynamics of a classical lattice gas: transport properties and time correlation functions. Physical Review, 1976, vol. 13, no. 5, pp. 1949–1961. doi: 10.1103/physreva.13.1949

7. Frisch, U., Hasslacher, В., Pomeau, Y. Lattice-gas automata for the Navier-Stokes equation. Physical Review Letters, 1986, vol. 56, no. 14, pp. 1505–1508. doi: 10.1103/physrevlett. 56.1505

8. Bandman, O.L. Diskretnoe modelirovanie fiziko-khimicheskikh protsessov [Discrete modelling of physico-chemical processes]. Prikladnaya diskretnaya matematika, 2009, no. 3, pp. 33–49. (in Russian).

9. Wolfram, S. Statistical mechanics of cellular automata. Reviews of Modern Physics, July/September 1983, vol. 5, pp. 601–610. doi: 10.1103/revmod-phys.55.601

10. Wolf-Gladrow, D. Lattice-Gas Cellular Automata and Lattice Boltzmann Models: An Introduction. Paris, 2005. 302 p. doi: 10.1007/b72010

11. Guo, Z., Zhao, T.S. Lattice Boltzmann model for incompressible flows through porous media. Physical Review E, 2002, vol. 66, pp. 036304-1–036304-9. doi:10.1103/physreve.66.036304

12. Chopard, B., Dupuis, A., Masselot, A., Luthi, P. Cellular automata and lattice Boltzmann techniques. Advances in Complex Systems, 2002, vol. 5, no. 2, pp. 1–144. doi: 10.1142/s0219525902000602

13. Chen, H., Shan, X. Simulation of nonideal gases and liquid-gas phase transitions by the lattice Boltzmann equation. Phys. Rev. E, 1994, vol. 49, pp. 2941–2948. doi: 10.1103/physreve.49.2941

14. He, X., Luo, L. Theory of the lattice Boltzmann method: From the Boltzmann equation to the lattice Boltzmann equation. Phys. Rev. E, 1997, vol. 56, pp. 6811–6817. doi: 10.1103/physreve.56.6811

15. Nourgaliev, R.R., Dinh, T.N., Theofanous, T.G, Joesph, D. The lattice Boltzmann equation method: Theoretical interpretation, numerics and implications. Int. J. Multipase Flow, 2003, vol. 29, pp. 117–169. doi: 10.1016/s03019322(02)-001088

16. Vogeler, A., Wolf-Gladrow, D.  Pair interaction lattice gas simulations: Flow past obstacles in two and three dimensions. Journal of Statistical Physics, 1993, vol. 71, pp. 163–190. doi: 10.1007/bf01048093

17. Bandman, O.L. Fine-Grained Parallelism in Computational Mathematics. Programming and Computer Software, 2001, vol. 27, pp. 170–182. doi: 10.1023/a:10-10962519223

18. Bobkov, S.P., Sokolov, V.L. Analiz vozmozhnostey primeneniya reshetochnykh modeley dlya issledovaniya protsessov v gazakh pri ponizhennom davlenii [Analysis of possible applications of lattice models for studying processes in gases at reduced pressure]. Vestnik IGEU, 2015, issue 4, pp. 58–63 (in Russian).

19. Abramovich, G.N. Prikladnaya gazovaya dinamika. Chast' 2 [Applied dynamics of gases. Part 2]. Moscow: Nauka, 1991. 304 s. (in Russian).

 

Key words in Russian: 
дискретный подход, решеточный газ, HPP, FHP и LBM модели
Key words in English: 
discrete approach, lattice gas, HPP, FHP and LBM models
The DOI index: 
10.17588/2072-2672.2019.3.068-075
Downloads count: 
15