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This paper discusses the modeling of the deformation of polymer nanocomposites containing "hard" and "soft" inclusions, using cellular automata and parallel computing. The paper describes an algorithm based on the model, a comparison with experimental data is shown, software for the numerical experiment is described.

In the article, the questions of application of a optimization method for support of planning processes in warehouse systems by means of simulation are considered. Mechanisms of interrelation of optimization and simulation models are investigated, and also the algorithm of simulation optimization model development of warehouse system for support of planning processes is described in detail.

This paper is dedicated to discussing methods of statistical modeling the outcomes of sport events and, particularly, matches with continuous time. We propose a simulation-based approach to predicting the outcome of a match, somehow medium between pure statistical methods and agent simulation of individual players. An example of retrospective prediction is given.

A computer model of component analysis of binary media, based on application of a new method acoustic reflecto-impedancemetry and realized in graphic programming environment LabVIEW is considered. Prospects of metrological and instrumental provisions of experimental applications of the model are discussed.

Cloud technologies are already wide spread among IT industry and start to gain popularity in academic field. There are several fundamental cloud models: infrastructure as a service (IaaS), platform as a service (PaaS), and software as a service (SaaS). The article describes the cloud infrastructure deployed at the Laboratory of Information Technologies of the Joint Institute for Nuclear Research (LIT JINR). It explains the goals of the cloud infrastructure creation, specifics of the implementation, its utilization, current work and plans for development.

By method of molecular dynamics investigated the interaction of nonlinear localized modes with bivacancies Pt crystal Pt₃Al. Identified dependences of the lifetime of the nonlinear localized modes from the initial temperature of the crystal model, the initial atom Al deviation from its equilibrium position, as well as the distance to the introduced bivacancy Pt in (111) plane of the crystal.

High-purity hydrogen is required for clean energy and a variety of chemical technology processes. A considerable part of hydrogen is to be obtained by methane conversion. Different alloys, which may be wellsuited for use in gas-separation plants, were investigated by measuring specific hydrogen permeability. One had to estimate the parameters of diffusion and sorption to numerically model the different scenarios and experimental conditions of the material usage (including extreme ones), and identify the limiting factors. This paper presents a nonlinear model of hydrogen permeability in accordance with the specifics of the experiment, the numerical method for solving the boundary-value problem, and the results of parametric identification for the alloy V₈₅Ni₁₅.

A vertically distributed three-component model of marine ecosystem is considered. State of the plankton community with nutrients is analyzed under the active movement of zooplankton in a vertical column of water. The necessary conditions of the Turing instability in the vicinity of the spatially homogeneous equilibrium are obtained. Stability of the spatially homogeneous equilibrium, the Turing instability and the oscillatory instability are examined depending on the biological characteristics of zooplankton and spatial movement of plankton. It is shown that at low values of zooplankton grazing rate and intratrophic interaction rate the system is Turing instable when the taxis rate is low. Stabilization occurs either through increased decline of zooplankton either by increasing the phytoplankton diffusion. With the increasing rate of consumption of phytoplankton range of parameters that determine the stability is reduced. A type of instability depends on the phytoplankton diffusion. For large values of diffusion oscillatory instability is observed, with a decrease in the phytoplankton diffusion zone of Turing instability is increases. In general, if zooplankton grazing rate is faster than phytoplankton growth rate the spatially homogeneous equilibrium is Turing instable or oscillatory instable. Stability is observed only at high speeds of zooplankton departure or its active movements. With the increase in zooplankton search activity spatial distribution of populations becomes more uniform, increasing the rate of diffusion leads to non-uniform spatial distribution. However, under diffusion the total number of the population is stabilized when the zooplankton grazing rate above the rate of phytoplankton growth. In general, at low rate of phytoplankton consumption the spatial structures formation is possible at low rates of zooplankton decline and diffusion of all the plankton community. With the increase in phytoplankton predation rate the phytoplankton diffusion and zooplankton spatial movement has essential effect on the spatial instability.

Numerical investigation of mixing non-isothermal streams of sodium coolant in a T-branch is carried out in the FlowVision CFD software. This study is aimed at argumentation of applicability of different approaches to prediction of oscillating behavior of the flow in the mixing zone and simulation of temperature pulsations. The following approaches are considered: URANS (Unsteady Reynolds Averaged Navier Stokers), LES (Large Eddy Simulation) and quasi-DNS (Direct Numerical Simulation). One of the main tasks of the work is detection of the advantages and drawbacks of the aforementioned approaches.

Numerical investigation of temperature pulsations, arising in the liquid and T-branch walls from the mixing of non-isothermal streams of sodium coolant was carried out within a mathematical model assuming that the flow is turbulent, the fluid density does not depend on pressure, and that heat exchange proceeds between the coolant and T-branch walls. Model LMS designed for modeling turbulent heat transfer was used in the calculations within URANS approach. The model allows calculation of the Prandtl number distribution over the computational domain.

Preliminary study was dedicated to estimation of the influence of computational grid on the development of oscillating flow and character of temperature pulsation within the aforementioned approaches. The study resulted in formulation of criteria for grid generation for each approach.

Then, calculations of three flow regimes have been carried out. The regimes differ by the ratios of the sodium mass flow rates and temperatures at the T-branch inlets. Each regime was calculated with use of the URANS, LES and quasi-DNS approaches.

At the final stage of the work analytical comparison of numerical and experimental data was performed. Advantages and drawbacks of each approach to simulation of mixing non-isothermal streams of sodium coolant in the T-branch are revealed and formulated.

It is shown that the URANS approach predicts the mean temperature distribution with a reasonable accuracy. It requires essentially less computational and time resources compared to the LES and DNS approaches. The drawback of this approach is that it does not reproduce pulsations of velocity, pressure and temperature.

The LES and DNS approaches also predict the mean temperature with a reasonable accuracy. They provide oscillating solutions. The obtained amplitudes of the temperature pulsations exceed the experimental ones. The spectral power densities in the check points inside the sodium flow agree well with the experimental data. However, the expenses of the computational and time resources essentially exceed those for the URANS approach in the performed numerical experiments: 350 times for LES and 1500 times for ·DNS.

The aim of the work was to study and develop methods of forecasting the dynamics of the human respiratory reactions, based on mathematical modeling. To achieve this goal have been set and solved the following tasks: developed and justified the overall structure and formalized description of the model Respiro-reflex system; built and implemented the algorithm in software models of gas exchange of the body; computational experiments and checking the adequacy of the model-based Lite-ture data and our own experimental studies.

In this embodiment, a new comprehensive model entered partial model modified version of physicochemical properties and blood acid-base balance. In developing the model as the basis of a formalized description was based on the concept of separation of physiologically-fi system of regulation on active and passive subsystems regulation. Development of the model was carried out in stages. Integrated model of gas exchange consisted of the following special models: basic biophysical models of gas exchange system; model physicochemical properties and blood acid-base balance; passive mechanisms of gas exchange model developed on the basis of mass balance equations Grodinza F.; chemical regulation model developed on the basis of a multifactor model D. Gray.

For a software implementation of the model, calculations were made in MatLab programming environment. To solve the equations of the method of Runge–Kutta–Fehlberga. It is assumed that the model will be presented in the form of a computer research program, which allows implements vat various hypotheses about the mechanism of the observed processes. Calculate the expected value of the basic indicators of gas exchange under giperkap Britain and hypoxia. The results of calculations as the nature of, and quantity is good enough co-agree with the data obtained in the studies on the testers. The audit on Adek-vatnost confirmed that the error calculation is within error of copper-to-biological experiments. The model can be used in the theoretical prediction of the dynamics of the respiratory reactions of the human body in a changed atmosphere.