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JOURNALS // Zhurnal Vychislitel'noi Matematiki i Matematicheskoi Fiziki // Archive

Zh. Vychisl. Mat. Mat. Fiz., 2022 Volume 62, Number 10, Pages 1723–1739 (Mi zvmmf11464)

This article is cited in 6 papers

Mathematical physics

Numerical simulation of turbulent flows based on modern turbulence models

M. E. Madalieva, Z. M. Malikovb

a Fergana Polytechnic Institute, 150107, Fergana, Uzbekistan
b Institute of Mechanics and Earthquake Engineering M.T. Urazbaev, Academy of Sciences of the Republic of Uzbekistan, 100007, Tashkent, Uzbekistan

Abstract: The new two-fluid turbulence model is compared with other RANS models for various turbulent flows: mixing of two flows, flow in a flat diffuser and an axisymmetric incompressible subsonic jet. In this paper, the most popular models capable of adequately describing complex turbulent flows are considered as RANS models. Comparisons of models are carried out not only by the accuracy of the results obtained, but also by the consumption of computing resources for the implementation of these models. Therefore, the computational algorithm for all models was the same and the method of establishing, i.e., by integrating non-stationary equations, was used to achieve stationary solutions. For the numerical implementation of systems of hydrodynamic equations, a finite-difference scheme was used, where the viscous terms were approximated by the central difference implicitly, and for convective terms, an explicit scheme against the flow of the second order of accuracy was used. At each time step, the correction for the velocities was carried out through the pressure according to the S-IMPLE procedure. To assess the adequacy, the obtained numerical results are compared with the known experimental data. Comparisons of numerical results have shown that the two-fluid model is easy to implement, requires less computational resources than other RANS models and is able to predict turbulent flows with great accuracy.

Key words: Navier–Stokes equations, diffuser, separation flow, two-fluid model, control volume method.

UDC: 532.5

Received: 10.10.2021
Revised: 17.05.2022
Accepted: 08.06.2022

DOI: 10.31857/S004446692210009X


 English version:
Computational Mathematics and Mathematical Physics, 2022, 62:10, 1707–1722

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© Steklov Math. Inst. of RAS, 2026