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We consider one of the problems of transport modelling — searching the equilibrium distribution of traffic flows in the network. We use the classic Beckman’s model to describe time costs and flow distribution in the network represented by directed graph. Meanwhile agents’ behavior is not completely rational, what is described by the introduction of Markov logit dynamics: any driver selects a route randomly according to the Gibbs’ distribution taking into account current time costs on the edges of the graph. Thus, the problem is reduced to searching of the stationary distribution for this dynamics which is a stochastic Nash – Wardrope equilibrium in the corresponding population congestion game in the transport network. Since the game is potential, this problem is equivalent to the problem of minimization of some functional over flows distribution. The stochasticity is reflected in the appearance of the entropy regularization, in contrast to non-stochastic case. The dual problem is constructed to obtain a solution of the optimization problem. The universal primal-dual gradient method is applied. A major specificity of this method lies in an adaptive adjustment to the local smoothness of the problem, what is most important in case of the complex structure of the objective function and an inability to obtain a prior smoothness bound with acceptable accuracy. Such a situation occurs in the considered problem since the properties of the function strongly depend on the transport graph, on which we do not impose strong restrictions. The article describes the algorithm including the numerical differentiation for calculation of the objective function value and gradient. In addition, the paper represents a theoretical estimate of time complexity of the algorithm and the results of numerical experiments conducted on a small American town.

This work presents the model of heat wall functions FlowVision (WFFV), which allows simulation of nonisothermal flows of fluid and gas near solid surfaces on relatively coarse grids with use of turbulence models. The work follows the research on the development of wall functions applicable in wide range of the values of quantity y+. Model WFFV assumes smooth profiles of the tangential component of velocity, turbulent viscosity, temperature, and turbulent heat conductivity near a solid surface. Possibility of using a simple algebraic model for calculation of variable turbulent Prandtl number is investigated in this study (the turbulent Prandtl number enters model WFFV as parameter). The results are satisfactory. The details of implementation of model WFFV in the FlowVision software are explained. In particular, the boundary condition for the energy equation used in high-Reynolds number calculations of non-isothermal flows is considered. The boundary condition is deduced for the energy equation written via thermodynamic enthalpy and via full enthalpy. The capability of the model is demonstrated on two test problems: flow of incompressible fluid past a plate and supersonic flow of gas past a plate (M = 3).

Analysis of literature shows that there exists essential ambiguity in experimental data and, as a consequence, in empirical correlations for the Stanton number (that being a dimensionless heat flux). The calculations suggest that the default values of the model parameters, automatically specified in the program, allow calculations of heat fluxes at extended solid surfaces with engineering accuracy. At the same time, it is obvious that one cannot invent universal wall functions. For this reason, the controls of model WFFV are made accessible from the FlowVision interface. When it is necessary, a user can tune the model for simulation of the required type of flow.

The proposed model of wall functions is compatible with all the turbulence models implemented in the FlowVision software: the algebraic model of Smagorinsky, the Spalart-Allmaras model, the SST $k-\omega$ model, the standard $k-\varepsilon$ model, the $k-\varepsilon$ model of Abe, Kondoh, Nagano, the quadratic $k-\varepsilon$ model, and $k-\varepsilon$ model FlowVision.

In the framework of modern non-equilibrium thermodynamics (macroscopic approach of description and mathematical modeling of the dynamics of real physical and chemical processes), the authors developed a potential- flow method for describing and mathematical modeling of real physical and chemical processes applicable in the general case of real macroscopic physicochemical systems. In accordance with the potential-flow method, the description and mathematical modeling of these processes consists in determining through the interaction potentials of the thermodynamic forces driving these processes and the kinetic matrix determined by the kinetic properties of the system in question, which in turn determine the dynamics of the course of physicochemical processes in this system under the influence of the thermodynamic forces in it. Knowing the thermodynamic forces and the kinetic matrix of the system, the rates of the flow of physicochemical processes in the system are determined, and according to these conservation laws the rates of change of its state coordinates are determined. It turns out in this way a closed system of equations of physical and chemical processes in the system. Knowing the interaction potentials in the system, the kinetic matrices of its simple subsystems (individual processes that are conjugate to each other and not conjugate with other processes), the coefficients entering into the conservation laws, the initial state of the system under consideration, external flows into the system, one can obtain a complete dynamics of physicochemical processes in the system. However, in the case of a complex physico-chemical system in which a large number of physicochemical processes take place, the dimension of the system of equations for these processes becomes appropriate. Hence, the problem arises of automating the formation of the described system of equations of the dynamics of physical and chemical processes in the system under consideration. In this article, we develop a library of software data types that implement a user-defined physicochemical system at the level of its design scheme (coordinates of the state of the system, energy degrees of freedom, physico-chemical processes, flowing, external flows and the relationship between these listed components) and algorithms references in these types of data, as well as calculation of the described system parameters. This library includes both program types of the calculation scheme of the user-defined physicochemical system, and program data types of the components of this design scheme (coordinates of the system state, energy degrees of freedom, physicochemical processes, flowing, external flows). The relationship between these components is carried out by reference (index) addressing. This significantly speeds up the calculation of the system characteristics, because faster access to data.

The mathematical model, finite-difference schemes and algorithms for computation of transient thermoand hydrodynamic processes involved in commissioning the unified system including the oil producing well, electrical submersible pump and fractured-porous reservoir with bottom water are developed. These models are implemented in the computer package to simulate transient processes with simultaneous visualization of their results along with computations. An important feature of the package Oil-RWP is its interaction with the special external program GCS which simulates the work of the surface electric control station and data exchange between these two programs. The package Oil-RWP sends telemetry data and current parameters of the operating submersible unit to the program module GCS (direct coupling). The station controller analyzes incoming data and generates the required control parameters for the submersible pump. These parameters are sent to Oil-RWP (feedback). Such an approach allows us to consider the developed software as the “Intellectual Well System”.

Some principal results of the simulations can be briefly presented as follows. The transient time between inaction and quasi-steady operation of the producing well depends on the well stream watering, filtration and capacitive parameters of oil reservoir, physical-chemical properties of phases and technical characteristics of the submersible unit. For the large time solution of the nonstationary equations governing the nonsteady processes is practically identical to the inverse quasi-stationary problem solution with the same initial data. The developed software package is an effective tool for analysis, forecast and optimization of the exploiting parameters of the unified oil-producing complex during its commissioning into the operating regime.

Certifying a transport airplane for the flights under icing conditions requires calculations aimed at definition of the dimensions and shapes of the ice bodies formed on the airplane surfaces. Up to date, software developed in Russia for simulation of ice accretion, which would be authorized by Russian certifying supervisory authority, is absent. This paper describes methodology IceVision recently developed in Russia on the basis of software FlowVision for calculations of ice accretion on airplane surfaces.

The main difference of methodology IceVision from the other approaches, known from literature, consists in using technology Volume Of Fluid (VOF — volume of fluid in cell) for tracking the surface of growing ice body. The methodology assumes solving a time-depended problem of continuous grows of ice body in the Euler formulation. The ice is explicitly present in the computational domain. The energy equation is integrated inside the ice body. In the other approaches, changing the ice shape is taken into account by means of modifying the aerodynamic surface and using Lagrangian mesh. In doing so, the heat transfer into ice is allowed for by an empirical model.

The implemented mathematical model provides capability to simulate formation of rime (dry) and glaze (wet) ice. It automatically identifies zones of rime and glaze ice. In a rime (dry) ice zone, the temperature of the contact surface between air and ice is calculated with account of ice sublimation and heat conduction inside the ice. In a glaze (wet) ice zone, the flow of the water film over the ice surface is allowed for. The film freezes due to evaporation and heat transfer inside the air and the ice. Methodology IceVision allows for separation of the film. For simulation of the two-phase flow of the air and droplets, a multi-speed model is used within the Euler approach. Methodology IceVision allows for size distribution of droplets. The computational algorithm takes account of essentially different time scales for the physical processes proceeding in the course of ice accretion, viz., air-droplets flow, water flow, and ice growth. Numerical solutions of validation test problems demonstrate efficiency of methodology IceVision and reliability of FlowVision results.

Kuramoto model of non-linearly coupled oscillators provides a simple but effective approach to the study of the synchronization phenomenon in complex systems. In the present article we consider a particular Kuramoto model with three non-identical oscillators associated with a multi-cell radial profile of the solar meridional circulation. The top and the bottom oscillators are coupled through the middle one. The main difference of the present Kuramoto model from the previous ones consists in the non-identical coupling: coupling coefficients which tie the middle oscillator with the top and the bottom ones are different. We investigate how the value of the coupling asymmetry of the middle oscillator influences the synchronization. In the present model the synchronization conditions appear to be different the classical Kuramoto model allowing the synchronization to be reached with weaker coupling. We perform a reconstruction of coupling coefficients from the phase difference between the top and the bottom oscillators, assuming that the synchronization is reached and the natural frequencies are known. The absolute cumulative coupling is uniquely determined by the phase difference between the top and the bottom oscillators and the coupling asymmetry of the middle oscillator. In general case, higher values of the coupling asymmetry of the middle oscillator correspond to lower cumulative coupling. A unique coupling reconstruction with unknown coupling asymmetry is possible in general case only for the weak cumulative coupling. Deviations from the general case are discussed. We perform a model simulation with natural frequencies estimated from the velocities of the solar meridional flow. Heliseismological observations of the deep flow may be attributed either to the middle cell or to the deep one. We discuss the difference between these two cases in terms of the coupling reconstruction.

The paper considers the problem of stationary mixed convection and heat transfer of a viscous heatconducting fluid in a plane square lid-driven cavity. The hot top cover of the cavity has any temperature $T_\mathrm{H}$ and cold bottom wall has temperature $T_\mathrm{0} (T_\mathrm{H} > T_\mathrm{0})$, whereas in contrast the side walls are insulated. The fact that the fluid density can take arbitrary values depending on the amount of overheating of the cavity cover is a feature of the problem. The mathematical formulation includes the Navier–Stokes equations in the ’velocity–pressure’ variables and the heat balance equation which take into account the incompressibility of the fluid flow and the influence of volumetric buoyancy force. The difference approximation of the original differential equations has been performed by the control volume method. Numerical solutions of the problem have been obtained on the $501 \times 501$ grid for the following values of similarity parameters: Prandtl number Pr = 0.70; Reynolds number Re = 100 and 1000; Richardson number Ri = 0.1, 1, and 10; and the relative cover overheating $(T_\mathrm{H}-T_\mathrm{0})/T_\mathrm{0} = 0, 1, 2, 3$. Detailed flow patterns in the form of streamlines and isotherms of relative overheating of the fluid flow are given in the work. It is shown that the increase in the value of the Richardson number (the increase in the influence of buoyancy force) leads to a fundamental change in the structure of the liquid stream. It is also found out that taking into account the variability of the liquid density leads to weakening of the influence of Ri growth on the transformation of the flow structure. The change in density in a closed volume is the cause of this weakening, since it always leads to the existence of zones with negative buoyancy in the presence of a volumetric force. As a consequence, the competition of positive and negative volumetric forces leads in general to weakening of the buoyancy effect. The behaviors of heat exchange coefficient (Nusselt number) and coefficient of friction along the bottom wall of the cavity depending on the parameters of the problem are also analyzed. It is revealed that the greater the values of the Richardson number are, the greater, ceteris paribus, the influence of density variation on these coefficients is.

In this work we have developed a new efficient program for the numerical simulation of 3D global chemical transport on an adaptive finite-difference grid which allows us to concentrate grid points in the regions where flow variables sharply change and coarsen the grid in the regions of their smooth behavior, which significantly minimizes the grid size. We represent the adaptive grid with a combination of several dynamic (tree, linked list) and static (array) data structures. The dynamic data structures are used for a grid reconstruction, and the calculations of the flow variables are based on the static data structures. The introduction of the static data structures allows us to speed up the program by a factor of 2 in comparison with the conventional approach to the grid representation with only dynamic data structures.

We wrote and tested our program on a computer with 6 CPU cores. Using the computer microarchitecture simulator gem5, we estimated the scalability property of the program on a significantly greater number of cores (up to 32), using several models of a computer system with the design “computational cores – cache – main memory”. It has been shown that the microarchitecture of a computer system has a significant impact on the scalability property, i.e. the same program demonstrates different efficiency on different computer microarchitectures. For example, we have a speedup of 14.2 on a processor with 32 cores and 2 cache levels, but we have a speedup of 22.2 on a processor with 32 cores and 3 cache levels. The execution time of a program on a computer model in gem5 is 104–105 times greater than the execution time of the same program on a real computer and equals 1.5 hours for the most complex model.

Also in this work we describe how to configure gem5 and how to perform simulations with gem5 in the most optimal way.

The work is a theoretical study of the development of bottom instability in rivers and canals. Based on an analytical model of the load of sediment, taking into account the influence of slopes of the bottom surface, bottom pressure and shear stress on the movement of the bottom material and an analytical solution that allows to determine bottom tangential and normal stresses over the periodic bottom, the problem of determining the amplitude growth rate for growing bottom waves is formulated and solved . The obtained solution of the problem allows us to determine the characteristic time of the growth of the bottom wave, the growth rate of the bottom wave and its maximum amplitude, depending on the physical and particle size characteristics of the bottom material and the hydraulic parameters of the water flow. On the example of the development of a periodic sinusoidal bottom wave of low steepness, the verification of the solution obtained for the formulated problem is carried out. The obtained analytical solution to the problem allows us to determine the growth rate of the amplitude of the bottom wave from the current value of its amplitude. Comparison of the obtained solution with experimental data showed their good qualitative and quantitative agreement.

In this work, parallel method for solving single-phase flow problems in a fractured porous media is considered. Method is based on the representation of fractures by surfaces embedded into the computational mesh, and known as the embedded discrete fracture model. Porous medium and fractures are represented as two independent continua within the model framework. A distinctive feature of the considered approach is that fractures do not modify the computational grid, while an additional degree of freedom is introduced for each cell intersected by the fracture. Discretization of fluxes between fractures and porous medium continua uses the pre-calculated intersection characteristics of fracture surfaces with a three-dimensional computational grid. The discretization of fluxes inside a porous medium does not depend on flows between continua. This allows the model to be integrated into existing multiphase flow simulators in porous reservoirs, while accurately describing flow behaviour near fractures.

Previously, the author proposed monotonic modifications of the model using nonlinear finite-volume schemes for the discretization of the fluxes inside the porous medium: a monotonic two-point scheme or a compact multi-point scheme with a discrete maximum principle. It was proved that the discrete solution of the obtained nonlinear problem preserves non-negativity or satisfies the discrete maximum principle, depending on the choice of the discretization scheme.

This work is a continuation of previous studies. The previously proposed monotonic modification of the model was parallelized using the INMOST open-source software platform for parallel numerical modelling. We used such features of the INMOST as a balanced grid distribution among processors, scalable methods for solving sparse distributed systems of linear equations, and others. Parallel efficiency was demonstrated experimentally.