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Flexible woven composites are classified as high-tech innovative materials. Due to the combination of various components of the filler and reinforcement elements, such materials are used in construction, in the defense industry, in shipbuilding and aircraft construction, etc. In the domestic literature, insufficient attention is paid to woven composites that change their geometric structure of the reinforcing layer during deformation. This paper presents an analysis of the previously proposed complex approach to modeling the behavior of flexible woven composites under static uniaxial tension for further generalization of the approach to biaxial tension. The work is aimed at qualitative and quantitative description of mechanical deformation processes occurring in the structure of the studied materials under tension, which include straightening the strands of the reinforcing layer and increasing the value of mutual pressure of the cross-lying reinforcement strands. At the beginning of the deformation process, the straightening of the threads and the increase in mutual pressure of the threads are most intense. With the increase in the level of load, the change of these parameters slows down. For example, the bending of the reinforcement strands goes into the Central tension, and the value of the load from the mutual pressure is no longer increased (tends to constant). To simulate the described processes, the basic geometrical and mechanical parameters of the material affecting the process of forming are introduced, the necessary terminology and description of the characteristics are given. Due to the high geometric nonlinearity of the all processes described in the increments, as in the initial load values there is a significant deformation of the reinforcing layer. For the quantitative and qualitative description of mechanical deformation processes occurring in the reinforcing layer, analytical dependences are derived to determine the increment of the angle of straightening of reinforcement filaments and the load caused by the mutual pressure of the cross-lying filaments at each step of the load increment. For testing of obtained dependencies shows an example of their application for flexible woven composites brands VP4126, VP6131 and VP6545. The simulation results confirmed the assumptions about the processes of straightening the threads and slowing the increase in mutual pressure of the threads. The results and dependences presented in this paper are directly related to the further generalization of the previously proposed analytical models for biaxial tension, since stretching in two directions will significantly reduce the straightening of the threads and increase the amount of mutual pressure under similar loads.

This article studies a method of constructing a predictive neural network model of a time series based on determining the composition of input variables, constructing a training sample and training itself using the back propagation method. Traditional methods of constructing predictive models of the time series are: the autoregressive model, the moving average model or the autoregressive model — the moving average allows us to approximate the time series by a linear dependence of the current value of the output variable on a number of its previous values. Such a limitation as linearity of dependence leads to significant errors in forecasting.

Mining Technologies using neural network modeling make it possible to approximate the time series by a nonlinear dependence. Moreover, the process of constructing of a neural network model (determining the composition of input variables, the number of layers and the number of neurons in the layers, choosing the activation functions of neurons, determining the optimal values of the neuron link weights) allows us to obtain a predictive model in the form of an analytical nonlinear dependence.

The determination of the composition of input variables of neural network models is one of the key points in the construction of neural network models in various application areas that affect its adequacy. The composition of the input variables is traditionally selected from some physical considerations or by the selection method. In this work it is proposed to use the behavior of the autocorrelation and private autocorrelation functions for the task of determining the composition of the input variables of the predictive neural network model of the time series.

In this work is proposed a method for determining the composition of input variables of neural network models for stationary and non-stationary time series, based on the construction and analysis of autocorrelation functions. Based on the proposed method in the Python programming environment are developed an algorithm and a program, determining the composition of the input variables of the predictive neural network model — the perceptron, as well as building the model itself. The proposed method was experimentally tested using the example of constructing a predictive neural network model of a time series that reflects energy consumption in different regions of the United States, openly published by PJM Interconnection LLC (PJM) — a regional network organization in the United States. This time series is non-stationary and is characterized by the presence of both a trend and seasonality. Prediction of the next values of the time series based on previous values and the constructed neural network model showed high approximation accuracy, which proves the effectiveness of the proposed method.

The paper describes an analytical study of hydrodynamic processes taking place in the course of coolant flow through a fuel assembly of the core of a fast neutron sodium-cooled reactor. Within the framework of the study, a procedure and an analytical model were developed based on program complex FlowVision of computational fluid dynamics, which, using proved simplifications, permits to obtain a coefficient of rod lifting margin of a fuel assembly and to study hydrodynamic characteristics of processes taking place in the course of simulation of different initial events influencing motion of a reactor core fuel assembly.

For analytical justification a fuel assembly model was developed, which is equivalent by hydraulic resistance values and permits not to simulate explicitly a complicated full-scale fuel assembly design, thus, decreasing a number of computational cells in the model and, as a result, reducing computational and time resources.

Hydraulic parameters of the equivalent fuel assembly model in program complex FlowVision were analyzed in two stages. At the first stage, to determine the minimum rod lifting margin coefficient of a fuel assembly, steady-state analyses were performed, where various flowrate values were assigned at the model inlet and forces acting upon the assembly were analyzed. A series of dynamic mode analyses was performed at the second stage. Jump-like pressure increase being the initial event which could occur hypothetically in the fast neutron sodium cooled reactor plant was assigned in these modes. Hydrodynamic parameters and forces acting upon the fuel assembly were determined.

The results of the first stage of the analytical study proved the minimum coefficient of rod lifting margin of a fuel assembly of the fast neutron reactor justified in reactor plant design documentation. As a result of the second stage of the study, conclusions were made on impossibility for the fuel assembly to move at the initial event associated with jump-like pressure increase in the reactor pressure chamber.

A mathematical model is formulated for the coastal slope erosion of sandy channel, which occurs under the action of a passing flood wave. The moving boundaries of the computational domain — the bottom surface and the free surface of the hydrodynamic flow — are determined from the solution of auxiliary differential equations. A change in the hydrodynamic flow section area for a given law of change in the flow rate requires a change in time of the turbulent viscosity averaged over the section. The bottom surface movement is determined from the Exner equation solution together with the equation of the bottom material avalanche movement. The Exner equation is closed by the original analytical model of traction loads movement. The model takes into account transit, gravitational and pressure mechanisms of bottom material movement and does not contain phenomenological parameters.

Based on the finite element method, a discrete analogue of the formulated problem is obtained and an algorithm for its solution is proposed. An algorithm feature is control of the free surface movement influence of the flow and the flow rate on the process of determining the flow turbulent viscosity. Numerical calculations have been carried out, demonstrating qualitative and quantitative influence of these features on the determining process of the flow turbulent viscosity and the channel bank slope erosion.

Data comparison on bank deformations obtained as a result of numerical calculations with known flume experimental data showed their agreement.

We consider a mathematical model describing the competition for a heterogeneous resource of two populations on a one-dimensional area. Distribution of populations is governed by diffusion and directed migration, species growth obeys to the logistic law. We study the corresponding problem of nonlinear parabolic equations with variable coefficients (function of a resource, parameters of growth, diffusion and migration). Approach on the theory the cosymmetric dynamic systems of V. Yudovich is applied to the analysis of population patterns. Conditions on parameters for which the problem under investigation has nontrivial cosymmetry are analytically derived. Numerical experiment is used to find an emergence of continuous family of steady states when cosymmetry takes place. The numerical scheme is based on the finite-difference discretization in space using the balance method and integration on time by Runge-Kutta method. Impact of diffusive and migration parameters on scenarios of distribution of populations is studied. In the vicinity of the line, corresponding to cosymmetry, neutral curves for diffusive parameters are calculated. We present the mappings with areas of diffusive parameters which correspond to scenarios of coexistence and extinction of species. For a number of migration parameters and resource functions with one and two maxima the analysis of possible scenarios is carried out. Particularly, we found the areas of parameters for which the survival of each specie is determined by initial conditions. It should be noted that dynamics may be nontrivial: after starting decrease in densities of both species the growth of only one population takes place whenever another specie decreases. The analysis has shown that areas of the diffusive parameters corresponding to various scenarios of population patterns are grouped near the cosymmetry lines. The derived mappings allow to explain, in particular, effect of a survival of population due to increasing of diffusive mobility in case of starvation.

One of the promising technologies for enhanced oil recovery in the development of unconventional oil reservoirs is the thermo-gas method. The method is based on the injection of an oxygen-containing mixture into the formation and its transformation into a highly efficient displacing agent miscible with the formation of oil due to spontaneous in-situ oxidative processes. In some cases, this method has great potential compared to other methods of enhanced oil recovery. This paper discusses some issues of the propagation of in-situ combustion waves. Depending on the parameters of the reservoir and the injected mixture, such waves can propagate in different modes. In this paper, only the direct-flow inverse propagation mode is considered. In this mode, the combustion wave propagates in the direction of the oxidant flow and the reaction front lags behind the heatwave, in which the substance (hydrocarbon fractions, porous skeleton, etc.) is heated to temperatures sufficient for the oxidation reaction to occur. The paper presents the results of an analytical study and numerical simulation of the structure of the inverse wave of in-situ combustion. in two-phase flow in a porous layer. Some simplifying assumptions about the thermal properties of fluid phases was accepted, which allow, on the one hand, to modify the in-situ combustion model observable for analysis, and with another is to convey the main features of this process. The solution of the “running wave” type is considered and the conditions of its implementation are specified. Selected two modes of reaction trailing front regime in-situ combustion waves: hydrodynamic and kinetic. Numerical simulation of the in-situ combustion wave propagation was carried out with using the thermohydrodynamical simulator developed for the numerical integration of non-isothermal multicomponent filtration flows accompanied by phase transitions and chemical reaction.

We analyze variants of considering the inhomogeneity of the environment in computer modeling of the dynamics of a predator and prey based on a system of reaction-diffusion–advection equations. The local interaction of species (reaction terms) is described by the logistic law for the prey and the Beddington –DeAngelis functional response, special cases of which are the Holling type II functional response and the Arditi – Ginzburg model. We consider a one-dimensional problem in space for a heterogeneous resource (carrying capacity) and three types of taxis (the prey to resource and from the predator, the predator to the prey). An analytical approach is used to study the stability of stationary solutions in the case of local interaction (diffusionless approach). We employ the method of lines to study diffusion and advective processes. A comparison of the critical values of the mortality parameter of predators is given. Analysis showed that at constant coefficients in the Beddington –DeAngelis model, critical values are variable along the spatial coordinate, while we do not observe this effect for the Arditi –Ginzburg model. We propose a modification of the reaction terms, which makes it possible to take into account the heterogeneity of the resource. Numerical results on the dynamics of species for large and small migration coefficients are presented, demonstrating a decrease in the influence of the species of local members on the emerging spatio-temporal distributions of populations. Bifurcation transitions are analyzed when changing the parameters of diffusion–advection and reaction terms.

A method for studying the dispersion characteristics of photonic crystals — media with a dielectric constant that varies periodically in space — is considered. The method is based on the representation of the wave functions and permittivity of a periodic medium in the form of Fourier series and their subsequent substitution into the wave equation, which leads to the formulation of the dispersion equation. Using the latter, for each value of the wave vector it is possible determined a set of eigen frequencies. Each of eigen frequency forms a separate dispersion curve as a continuous function of the wave number. The Fourier expansion coefficients of the permittivity, which depend on the vectors of the reciprocal lattice of the photonic crystal, are determined on the basis of data on the geometric characteristics of the elements that form the crystal, their electrophysical properties and the density of the crystal. The solution of the dispersion equation found makes it possible to obtain complete information about the number of modes propagating in a periodic structure at different frequencies, and about the possibility of forming band gaps, i.e. frequency ranges within which wave propagation through a photonic crystal is impossible. The focus of this work is on the application of this method to the analysis of the dispersion properties of metallic photonic crystals. The difficulties that arise in this case due to the presence of intrinsic dispersion properties of the metals that form the elements of the crystal are overcome by an analytical description of their permittivity based on the model of free electrons. As a result, a dispersion equation is formulated, the numerical solution of which is easily algorithmized. That makes possible to determine the dispersion characteristics of metallic photonic crystals with arbitrary parameters. Obtained by this method the results of calculation of dispersion diagrams, which characterize two-dimensional metal photonic crystals, are compared with experimental data and numerical results obtained using the method of self-consistent equations. Their good agreement is demonstrated.

An algorithm is proposed to identify parameters of a 2D vortex structure used on information about the flow velocity at a finite (small) set of reference points. The approach is based on using a set of point vortices as a model system and minimizing a functional that compares the model and known sets of velocity vectors in the space of model parameters. For numerical implementation, the method of gradient descent with step size control, approximation of derivatives by finite differences, and the analytical expression of the velocity field induced by the point vortex model are used. An experimental analysis of the operation of the algorithm on test flows is carried out: one and a system of several point vortices, a Rankine vortex, and a Lamb dipole. According to the velocity fields of test flows, the velocity vectors utilized for identification were arranged in a randomly distributed set of reference points (from 3 to 200 pieces). Using the computations, it was determined that: the algorithm converges to the minimum from a wide range of initial approximations; the algorithm converges in all cases when the reference points are located in areas where the streamlines of the test and model systems are topologically equivalent; if the streamlines of the systems are not topologically equivalent, then the percentage of successful calculations decreases, but convergence can also take place; when the method converges, the coordinates of the vortices of the model system are close to the centers of the vortices of the test configurations, and in many cases, the values of their circulations also; con-vergence depends more on location than on the number of vectors used for identification. The results of the study allow us to recommend the proposed algorithm for identifying 2D vortex structures whose streamlines are topologically close to systems of point vortices.

The first solution for wind-induced flow of homogeneous fluid was found in 1905 by Ekman and it involved the sum of two components: the drift current determined by wind stress and the geostrophic current determined by slope of the free surface. Drift current is defined by the specific formula and can be easily analyzed. In order to find the geostrophic current it is necessary to solve an elliptic type equation in the area bounded by coastline and it is a more difficult problem. In this paper examples of areas and wind stresses are given for the case when the equations for finding the geostrophic current are solved analytically.