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Volume 9, Nº 4 (2017)

Article

Exact and approximate Riemann solvers for compressible two-phase flows

Menshov I.

Resumo

Numerical methods for solving equations of two-phase hydrodynamics, which describe the flow of a dispersed solid and gas mixture are considered. The Godunov method is applied as the main approach to approximate numerical fluxes in solutions of the relevant Riemann problems. The formulations of these problems for the solid and gas phases are given, their exact analytical solution is described, and possible simplified approximate solutions are discussed. The obtained theoretical results are applied to the construction of a discrete model, which results in the generalization of the well-known Godunov-type and Rusanov-type methods to the case of nonequilibrium two-phase media. The numerical results involve the verification of the constructed methods on the analytical solutions of two-phase equations.

Mathematical Models and Computer Simulations. 2017;9(4):405-422
pages 405-422 views

Application of the regularized shallow water equations for numerical simulation of seiche level oscillations in the Sea of Azov

Elizarova T., Saburin D.

Resumo

A mathematical model for calculating the currents in the sea area scale was developed for the first time within an algorithm of regularized shallow water equations. The model and the numerical algorithm are described as applied to the topology and natural features of the Sea of Azov. The results of the calculations of hydrodynamic currents in the Sea of Azov in the presence of typical seiche waves caused by tidal or wind influences are presented.

Mathematical Models and Computer Simulations. 2017;9(4):423-436
pages 423-436 views

Numerical simulation of forest fire propagation based on modified two-dimensional model

Kuleshov A., Myshetskaya E., Yakush S.

Resumo

A modified two-dimensional two-phase mathematical model of forest wildfires propagation is considered. The model is based on the averaging of three-dimensional equations of two-phase medium over the height of the forest fuel (FF) layer and it includes the (k‒ε)-turbulence model with additional turbulence production and dissipation terms in the forest layer and the Eddy Break-up Model for the combustion rate in the gas phase. The developed model can be used to carry out numerical simulation of the forest fire-front propagation under the conditions of a heterogeneous FF distribution, the presence of obstacles to the fire propagation, and the wind effects. This model can be used for real-time computation of the fire propagation, for expert assessments of emergency situations, and for assessments of the damage caused by forest fires.

Mathematical Models and Computer Simulations. 2017;9(4):437-447
pages 437-447 views

Kinetic melting and crystallization stages of strongly superheated and supercooled metals

Mazhukin V., Shapranov A., Perezhigin V., Koroleva O., Mazhukin A.

Resumo

The heterogeneous melting/crystallization of metals with different crystallographic lattices in conditions where the phase front propagates on overheated/supercooled media was modeled in the context of the molecular dynamics approach. In order to obtain the temperature dependence of the kinetic velocity in analytical form, the results of atomistic modeling were approximated by the function obtained from the kinetic representations. For the first time, stationary temperature dependences of kinetic velocity ν(Tsℓ) for the limit values of superheated/supercooled copper and iron were built.

Mathematical Models and Computer Simulations. 2017;9(4):448-456
pages 448-456 views

Simulation of viscous flows by highly accurate aeroacoustic schemes on regular grids

Alexandrov A., Dorodnicyn L.

Resumo

Highly accurate finite-difference schemes that are widely used in computational aeroacoustics and referred to as dispersion-relation-preserving (DRP) schemes are adapted for the simulation of viscous flows. The main result consists in the construction and verification of numerical boundary conditions on a solid body, artificial boundaries, and on their interface. Calculations are performed for several test problems, including dissipation of the Lamb–Oseen vortex and decay of the Taylor–Green vortex in two-and three-dimensional cases and in infinite and semi-infinite (open-outlet) plane channels.

Mathematical Models and Computer Simulations. 2017;9(4):457-473
pages 457-473 views

Generation of waves by a shock wave sliding along the Shallow water surface

Nadkrinichnyi L.

Resumo

The problem of generating waves by a shock wave which moves out from the solid ledge to the shallow water surface is considered. The analytical and numerical solutions of the problem are presented. The characteristic features of the generated waves are shown. The typical dependences of the generated surface wave parameters on those of the shock wave are found.

Mathematical Models and Computer Simulations. 2017;9(4):474-480
pages 474-480 views

Models of self-organizing artificial neural networks to identify stationary industrial sources of air pollution

Dudarov S.

Resumo

A problem of identifying one particular or a few possible pollution sources that are responsible for the deterioration of the air quality as a result of exceeding the standards of the maximum permissible emissions is considered. A model problem for a group of spatially divided stationary permanent industrial sources is solved. A statement identifying the problem and a method to solve it using two architectures of artificial neural networks, Kohonen’s networks for learning vector quantization with fixed and adaptive structures, as well as adaptive resonance theory network for analog inputs (ART-2), are presented. The method consists of clustering the data provided by self-learning algorithms (unsupervised learning). Estimation equations are given and operation algorithms of Kohonen’s and adaptive resonance theory networks at different life cycle stages are described. The results of the solution of the model problem that are obtained using each network is performed are comparatively analyzed.

Mathematical Models and Computer Simulations. 2017;9(4):481-488
pages 481-488 views

Numerical Methods with Adaptive Artificial Viscosity for Solving Navier−Stokes Equations

Popov I.

Resumo

A numerical method for solving two-dimensional problems of a viscous compressible gas based on Navier–Stokes equations with the introduction of adaptive artificial viscosity is presented. The proposed method is implemented for areas of the general form on triangular grids. The method of the adaptive artificial viscosity is taken as the basis of the proposed numerical method and ensures the monotonicity of the solutions, even in the presence of shock waves. The artificial viscosity (introduced into the difference scheme) is constructed in such a way that it is absent in the boundary layer where the dynamic viscosity acts. The viscosity is determined from the conditions of the fulfillment of the maximum principle. The series of calculations of an external flow around a cylinder for various Reynolds and Mach numbers is described.

Mathematical Models and Computer Simulations. 2017;9(4):489-497
pages 489-497 views

On implicit Runge–Kutta methods obtained as a result of the inversion of explicit methods

Skvortsov L.

Resumo

We consider methods that are the inverse of the explicit Runge–Kutta methods. Such methods have some advantages, while their disadvantage is the low (first) stage order. This reduces the accuracy and the real order in solving stiff and differential-algebraic equations. New methods possessing properties of methods of a higher stage order are proposed. The results of the numerical experiments show that the proposed methods allow us to avoid reducing the order.

Mathematical Models and Computer Simulations. 2017;9(4):498-510
pages 498-510 views

An oscillatory network model with controllable synchronization and a neuromorphic dynamical method of information processing

Grichuk E., Kuzmina M., Manykin E.

Resumo

A spatially two-dimensional oscillatory neural network model with inhomogeneous modifiable oscillatory coupling is designed and an adaptive dynamical method of brightness image segmentation (image reconstruction) based on self-organized cluster synchronization in the oscillatory network is developed. The method imitates the known phenomenon of dynamical binding via synchronization that is presumably used by a number of the brain neural structures in their work. The oscillatory-network approach demonstrates the following capabilities: (1) high-quality segmentation of real grey-level and color images; (2) selective image segmentation (exclusion of unnecessary information); (3) solution of the simplest problem of object selection in a visual scene—the problem of the successive selection of all spatially separated image fragments of almost equal brightness.

Mathematical Models and Computer Simulations. 2017;9(4):511-520
pages 511-520 views

Heat transfer process in an elliptical channel

Germider O., Popov V., Yushkanov A.

Resumo

This paper addresses the problem of heat transport in an elliptical channel in the presence of a temperature gradient parallel to its axis. The Williams equation is used as the basic equation describing the kinetics of the process and a model of diffusive reflection is used as the boundary conditions on the channel wall. The deviation of the gas condition from the equilibrium is assumed to be small. In order to find a linear correction to the local equilibrium function of distribution, a boundary problem consisting of a linear homogeneous partial differential equation of the first order with a homogeneous boundary condition has been built. The solution of the built boundary value problem has been found by the method of characteristics. The value of the heat flow through the cross section of the channel is found by using numerical procedures implemented by the computer algebra Maple 17 system. The results were compared with the analogous results found in the open press.

Mathematical Models and Computer Simulations. 2017;9(4):521-528
pages 521-528 views

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