A study has been made of the random motion of inertial particles in a homogeneous isotropic turbulent gas flow. Fluctuations of the gas velocity along the particle path were modeled by the Gaussian random process with a finite time of degeneracy of the autocorrelation function. A closed equation has been obtained for the probability density function of the particle velocity, for which two methods of numerical solution have been proposed: using the finite-difference scheme and using one based on direct numerical modeling of an empirical probability density function. The empirical probability density function was obtained as a result of the averaging of random particle paths, which are a solution of a system of ordinary stochastic differential equations. The results of numerical calculation have been compared with the analytical solution describing the dynamics of the probability density function of the particle-velocity distribution.
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References
L. I. Zaichik and V. M. Alipchenkov, Statistical Models of Motion of Particles in a Turbulent Liquid [in Russian], Fizmatlit, Moscow (2007).
J. P. Minier and C. Profeta, Kinetic and dynamic probability-density-function descriptions of disperse turbulent two-phase flows, Phys. Rev. E — Stat. Nonlinear, Soft Matter Phys., 92, No. 5, 1–20 (2015).
M. Reeks, D. C. Swailes, and A. D. Bragg, Is the kinetic equation for turbulent gas–particle flows ill posed? Phys. Rev. E, 97, No. 2, 1–10 (2018).
I. V. Derevich, Statistical modeling of mass transfer in turbulent two-phase dispersed flows — 1. Model development, Int. J. Heat Mass Transf., 43, No. 19, 3709–3723 (2000).
H. Risken, The Fokker–Planck Equation, Springer-Verlag, Berlin, Heidelberg (1989).
H. Hasegawa, Dynamics of the Langevin model subjected to colored noise: Functional-integral method, Phys. A: Stat. Mech. Appl., 387, No. 12, 2697–2718 (2008).
G. Y. Liang, L. Cao, and D. J. Wu, Approximate Fokker–Planck equation of system driven by multiplicative colored noises with colored cross-correlation, Phys. A: Stat. Mech. Appl., 335, Nos. 3–4, 371–384 (2004).
I. V. Derevich, Statistical modeling of mass transfer in turbulent two-ph ase dispersed flows — 2. Calculation results, Int. J. Heat Mass Transf., 43, No. 19, 3725–3734 (2000).
S. Wetchagaruna and J. J. Riley, Dispersion and temperature statistics of inertial particles in isotropic turbulence, Phys. Fluids, 22, 063301-1–15 (2010).
V. I. Klyatskin, Stochastic Equations and Waves in Random Inhomogeneous Media [in Russian], Nauka, Moscow (1980).
S. Chibbaro and J.-P. Minier, Langevin PDF simulation of particle deposition in a turbulent pipe flow, J. Aerosol Sci., 39, No. 7, 555–571 (2008).
I. V. Derevich, Workshop on Mathematical-Physics Equations [in Russian], Lan’, St. Petersburg (2017).
O. S. Mazhorova, Yu. P. Popov, and A. S. Sakharchuk, Stability of Difference Schemes for a System of Parabolic Equations, Preprint No. 90 IPM im. M. V. Keldysha RAN, Moscow (1997).
I. V. Derevich and D. D. Galdina, Numerical investigation into the thermal stability of a catalyst granule with internal heat release in a random temperature field of a medium, Vestn. MGTU im. N. É. Baumana, Ser. Est. Nauki, 2, No. 53, 3–11 (2014).
I. V. Derevich, Spectral diffusion model of heavy inertial particles in a random velocity field of the continuous medium, Thermophys. Aeromech., 22, No. 2, 151–170 (2015).
K. Burrage and P. M. Burrage, High strong order explicit Runge–Kutta methods for stochastic ordinary differential equations, Appl. Numer. Math., 22, Nos. 1–3, 81–101 (1996).
K. Debrabant and A. Rößler, Classification of stochastic Runge–Kutta methods for the weak approximation of stochastic differential equations, Math. Comput. Simul., 77, No. 4, 408–420 (2008).
A. Tocino and R. Ardanuy, Runge–Kutta methods for numerical solution of stochastic differential equations, J. Comput. Appl. Math., 138, No. 2, 219–241 (2002).
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Translated from Inzhenerno-Fizicheskii Zhurnal, Vol. 93, No. 5, pp. 1081–1092, September–October, 2020.
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Derevich, I.V., Klochkov, A.K. Analytical and Numerical Solution of the Equation for the Probability Density Function of the Particle Velocity in a Turbulent Flow. J Eng Phys Thermophy 93, 1043–1054 (2020). https://doi.org/10.1007/s10891-020-02206-4
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DOI: https://doi.org/10.1007/s10891-020-02206-4