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The work is devoted to numerical modeling of two-phase flows, namely, the calculation of supersonic flow around a blunt body by a viscous gas flow with an admixture of large high inertia particles. The system of unsteady Navier – Stokes equations is numerically solved by the meshless method. It uses the cloud of points in space to represent the fields of gas parameters. The spatial derivatives of gas parameters and functions are approximated by the least square method to calculate convective and viscous fluxes in the Navier – Stokes system of equations. The convective fluxes are calculated by the HLLC method. The third-order MUSCL reconstruction scheme is used to achieve high order accuracy. The viscous fluxes are calculated by the second order approximation scheme. The streamlined body surface is represented by a model of an isothermal wall. It implements the conditions for the zero velocity and zero pressure gradient, which is also modeled using the least squares method.

Every moving body is surrounded by its own cloud of points belongs to body’s domain and moving along with it in space. The explicit three-sage Runge–Kutta method is used to solve numerically the system of gas dynamics equations in the main coordinate system and local coordinate systems of each particle.

Two methods for the moving objects modeling with reverse impact on the gas flow have been implemented. The first one uses stationary point clouds with fixed neighbors within the same domain. When regions overlap, some nodes of one domain, for example, the boundary nodes of the particle domain, are excluded from the calculation and filled with the values of gas parameters from the nearest nodes of another domain using the least squares approximation of gradients. The internal nodes of the particle domain are used to reconstruct the gas parameters in the overlapped nodes of the main domain. The second method also uses the exclusion of nodes in overlapping areas, but in this case the nodes of another domain take the place of the excluded neighbors to build a single connected cloud of nodes. At the same time, some of the nodes are moving, and some are stationary. Nodes membership to different domains and their relative speed are taken into account when calculating fluxes.

The results of modeling the motion of a particle in a stationary gas and the flow around a stationary particle by an incoming flow at the same relative velocity show good agreement for both presented methods.

The paper presents the results of numerical simulation of different-temperature water flows turbulent mixing in a T-junctions in the FlowVision software package. The article describes in detail an experimental stand specially designed to obtain boundary conditions that are simple for most computational fluid dynamics software systems. Values of timeaveraged temperatures and velocities in the control sensors and planes were obtained according to the test results. The article presents the system of partial differential equations used in the calculation describing the process of heat and mass transfer in a liquid using the Smagorinsky turbulence model. Boundary conditions are specified that allow setting the random velocity pulsations at the entrance to the computational domain. Distributions of time-averaged water velocity and temperature in control sections and sensors are obtained. The simulation is performed on various computational grids, for which the axes of the global coordinate system coincide with the directions of hot and cold water flows. The possibility for FlowVision PC to construct a computational grid in the simulation process based on changes in flow parameters is shown. The influence of such an algorithm for constructing a computational grid on the results of calculations is estimated. The results of calculations on a diagonal grid using a beveled scheme are given (the direction of the coordinate lines does not coincide with the direction of the tee pipes). The high efficiency of the beveled scheme is shown when modeling flows whose general direction does not coincide with the faces of the calculated cells. A comparison of simulation results on various computational grids is carried out. The numerical results obtained in the FlowVision PC are compared with experimental data and calculations performed using other computing programs. The results of modeling turbulent mixing of water flow of different temperatures in the FlowVision PC are closer to experimental data in comparison with calculations in CFX ANSYS. It is shown that the application of the LES turbulence model on relatively small computational grids in the FlowVision PC allows obtaining results with an error within 5%.

We consider a mechanical system consisting of a rigid body and two masses that move inside the body along mutually perpendicular guides. The body has a flat face, which rests on a horizontal rough plane. The masses move inside the body in a vertical plane according to a harmonic law with the same period. It is assumed that the friction forces arising in the area of contact between the body and the supporting plane are described by the classical model of dry Coulomb friction, and the parameters of the problem are chosen so that the body can perform translationally rectilinearly motion. This mechanical system can serve as the simplest model of a capsule robot moving on a solid surface by moving internal elements.

We study the modes of motion of a body in which its velocity is periodic with a period equal to the period of motion of the internal masses. It is shown that if the body can starts to move from a state of rest by means of displacements of the masses, then for any permissible values of the problem parameters there is a periodic mode of motion. Depending on the parameter values, the nature of the periodic motion can be essentially different. In particular, both reversible and nonreversible driving modes are possible. In the non-reversion mode, the body moves in the same direction, and intervals of movement alternate with intervals of rest (body sticking). In the reversal mode, the body moves in both positive and negative directions over a time interval equal to one period. In this case, the body makes two stops during the period of movement. After stopping, the body either immediately continues moving in the opposite direction, or enters a sticking zone and rests for a finite period of time, and then stats moving in the opposite direction. It was also found that, at certain parameter values, a periodic reversal mode is possible, in which the body moves without sticking. A detailed classification of all possible types of periodic motion modes was carried out. Their complete qualitative description is given and the regions of their existence in the three-dimensional space of the parameters are constructed.

The method of calculation of the boundaries of quality classes for quantitative characteristics of systems with any properties is adapted to search for boundaries of three quality classes. In addition to other results, adaptation of the method allowed to determine boundaries between quality classes at simultaneous «unacceptability » of high and low values of indicator characteristic of the system condition and simultaneous «inadmissibility » of high and low values of factors affecting the system.

This article explores a method of machine learning based on the theory of random functions. One of the main problems of this method is that decision rule of a model becomes more complicated as the number of training dataset examples increases. The decision rule of the model is the most probable realization of a random function and it's represented as a polynomial with the number of terms equal to the number of training examples. In this article we will show the quick way of the number of training dataset examples reduction and, accordingly, the complexity of the decision rule. Reducing the number of examples of training dataset is due to the search and removal of weak elements that have little effect on the final form of the decision function, and noise sampling elements. For each $(x_i,y_i)$-th element sample was introduced the concept of value, which is expressed by the deviation of the estimated value of the decision function of the model at the point $x_i$, built without the $i$-th element, from the true value $y_i$. Also we show the possibility of indirect using weak elements in the process of training model without increasing the number of terms in the decision function. At the experimental part of the article, we show how changed amount of data affects to the ability of the method of generalizing in the classification task.

This article represents numerical simulation technique for determining effective spectral electromagnetic properties (effective electrical conductivity and relative dielectric permittivity) of saturated porous media. Information about these properties is vastly applied during the interpretation of petrophysical exploration data of boreholes and studying of rock core samples. The main feature of the present paper consists in the fact, that it involves three-dimensional saturated digital rock models, which were constructed based on the combined data considering microscopic structure of the porous media and the information about capillary equilibrium of oil-water mixture in pores. Data considering microscopic structure of the model are obtained by means of X-ray microscopic tomography. Information about distributions of saturating fluids is based on hydrodynamic simulations with density functional technique. In order to determine electromagnetic properties of the numerical model time-domain Fourier transform of Maxwell equations is considered. In low frequency approximation the problem can be reduced to solving elliptic equation for the distribution of complex electric potential. Finite difference approximation is based on discretization of the model with homogeneous isotropic orthogonal grid. This discretization implies that each computational cell contains exclusively one medium: water, oil or rock. In order to obtain suitable numerical model the distributions of saturating components is segmented. Such kind of modification enables avoiding usage of heterogeneous grids and disregards influence on the results of simulations of the additional techniques, required in order to determine properties of cells, filled with mixture of media. Corresponding system of differential equations is solved by means of biconjugate gradient stabilized method with multigrid preconditioner. Based on the results of complex electric potential computations average values of electrical conductivity and relative dielectric permittivity is calculated. For the sake of simplicity, this paper considers exclusively simulations with no spectral dependence of conductivities and permittivities of model components. The results of numerical simulations of spectral dependence of effective characteristics of heterogeneously saturated porous media (electrical conductivity and relative dielectric permittivity) in broad range of frequencies and multiple water saturations are represented in figures and table. Efficiency of the presented approach for determining spectral electrical properties of saturated rocks is discussed in conclusion.

Optical systems with two-dimensional feedback demonstrate wide possibilities for studying the nucleation and development processes of dissipative structures. Feedback allows to influence the dynamics of the optical system by controlling the transformation of spatial variables performed by prisms, lenses, dynamic holograms and other devices. A nonlinear interferometer with a mirror image of a field in two-dimensional feedback is one of the simplest optical systems in which is realized the nonlocal nature of light fields.

A mathematical model of optical systems with two-dimensional feedback is a nonlinear parabolic equation with rotation transformation of a spatial variable and periodicity conditions on a circle. Such problems are investigated: bifurcation of the traveling wave type stationary structures, how the form of the solution changes as the diffusion coefficient decreases, dynamics of the solution’s stability when the bifurcation parameter leaves the critical value. For the first time as a parameter bifurcation was taken of diffusion coefficient.

The method of central manifolds and the Galerkin’s method are used in this paper. The method of central manifolds and the Galerkin’s method are used in this paper. The method of central manifolds allows to prove a theorem on the existence and form of the traveling wave type solution neighborhood of the bifurcation value. The first traveling wave born as a result of the Andronov –Hopf bifurcation in the transition of the bifurcation parameter through the сritical value. According to the central manifold theorem, the first traveling wave is born orbitally stable.

Since the above theorem gives the opportunity to explore solutions are born only in the vicinity of the critical values of the bifurcation parameter, the decision to study the dynamics of traveling waves of change during the withdrawal of the bifurcation parameter in the supercritical region, the formalism of the Galerkin method was used. In accordance with the method of the central manifold is made Galerkin’s approximation of the problem solution. As the bifurcation parameter decreases and its transition through the critical value, the zero solution of the problem loses stability in an oscillatory manner. As a result, a periodic solution of the traveling wave type branches off from the zero solution. This wave is born orbitally stable. With further reduction of the parameter and its passage through the next critical value from the zero solution, the second solution of the traveling wave type is produced as a result of the Andronov –Hopf bifurcation. This wave is born unstable with an instability index of two.

Numerical calculations have shown that the application of the Galerkin’s method leads to correct results. The results obtained are in good agreement with the results obtained by other authors and can be used to establish experiments on the study of phenomena in optical systems with feedback.

Verification of the physical-statistical approach within reliability theory for the simplest cases was carried out, which showed its validity. An analytical solution of the one-dimensional basic equation of the physicalstatistical approach is presented under the assumption of a stationary degradation rate. From a mathematical point of view this equation is the well-known continuity equation, where the role of density is played by the density distribution function of goods in its characteristics phase space, and the role of fluid velocity is played by intensity (rate) degradation processes. The latter connects the general formalism with the specifics of degradation mechanisms. The cases of coordinate constant, linear and quadratic degradation rates are analyzed using the characteristics method. In the first two cases, the results correspond to physical intuition. At a constant rate of degradation, the shape of the initial distribution is preserved, and the distribution itself moves equably from the zero. At a linear rate of degradation, the distribution either narrows down to a narrow peak (in the singular limit), or expands, with the maximum shifting to the periphery at an exponentially increasing rate. The distribution form is also saved up to the parameters. For the initial normal distribution, the coordinates of the largest value of the distribution maximum for its return motion are obtained analytically.

In the quadratic case, the formal solution demonstrates counterintuitive behavior. It consists in the fact that the solution is uniquely defined only on a part of an infinite half-plane, vanishes along with all derivatives on the boundary, and is ambiguous when crossing the boundary. If you continue it to another area in accordance with the analytical solution, it has a two-humped appearance, retains the amount of substance and, which is devoid of physical meaning, periodically over time. If you continue it with zero, then the conservativeness property is violated. The anomaly of the quadratic case is explained, though not strictly, by the analogy of the motion of a material point with an acceleration proportional to the square of velocity. Here we are dealing with a mathematical curiosity. Numerical calculations are given for all cases. Additionally, the entropy of the probability distribution and the reliability function are calculated, and their correlation is traced.

In this paper, a gravitational system is understood as a set of point bodies that interact according to Newton's law of attraction and have a negative value of the total energy. The question of the stability (nonstability) of a gravitational system of general position is discussed by direct computational experiment. A gravitational system of general position is a system in which the masses, initial positions, and velocities of bodies are chosen randomly from given ranges. A new method for the numerical solution of ordinary differential equations at large time intervals has been developed for the computational experiment. The proposed method allowed, on the one hand, to ensure the fulfillment of all conservation laws by a suitable correction of solutions, on the other hand, to use standard methods for the numerical solution of systems of differential equations of low approximation order. Within the framework of this method, the trajectory of a gravitational system in phase space is assembled from parts, the duration of each of which can be macroscopic. The constructed trajectory, generally speaking, is discontinuous, and the points of joining of individual pieces of the trajectory act as branch points. In connection with the latter circumstance, the proposed method, in part, can be attributed to the class of Monte Carlo methods. The general conclusion of a series of computational experiments has shown that gravitational systems of general position with a number of bodies of 3 or more, generally speaking, are unstable. In the framework of the proposed method, special cases of zero-equal angular momentum of a gravitational system with a number of bodies of 3 or more, as well as the problem of motion of two bodies, are specially considered. The case of numerical modeling of the dynamics of the solar system in time is considered separately. From the standpoint of computational experiments based on analytical methods, as well as direct numerical methods of high-order approximation (10 and higher), the stability of the solar system was previously demonstrated at an interval of five billion years or more. Due to the limitations on the available computational resources, the stability of the dynamics of the planets of the solar system within the framework of the proposed method was confirmed for a period of ten million years. With the help of a computational experiment, one of the possible scenarios for the disintegration of the solar systems is also considered.

An important role in the construction of mathematical models of dynamic systems is played by inverse problems, which in particular include the problem of parametric identification. Unlike classical models that operate with point values, interval models give upper and lower boundaries on the quantities under study. The paper considers an interpolation approach to solving interval problems of parametric identification of dynamic systems for the case when experimental data are represented by external interval estimates. The purpose of the proposed approach is to find such an interval estimate of the model parameters, in which the external interval estimate of the solution of the direct modeling problem would contain experimental data or minimize the deviation from them. The approach is based on the adaptive interpolation algorithm for modeling dynamic systems with interval uncertainties, which makes it possible to explicitly obtain the dependence of phase variables on system parameters. The task of minimizing the distance between the experimental data and the model solution in the space of interval boundaries of the model parameters is formulated. An expression for the gradient of the objectivet function is obtained. On a representative set of tasks, the effectiveness of the proposed approach is demonstrated.