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Software complex for numerical modeling of multibody system dynamics
Computer Research and Modeling, 2024, v. 16, no. 1, pp. 161-174This work deals with numerical modeling of motion of the multibody systems consisting of rigid bodies with arbitrary masses and inertial properties. We consider both planar and spatial systems which may contain kinematic loops.
The numerical modeling is fully automatic and its computational algorithm contains three principal steps. On step one a graph of the considered mechanical system is formed from the userinput data. This graph represents the hierarchical structure of the mechanical system. On step two the differential-algebraic equations of motion of the system are derived using the so-called Joint Coordinate Method. This method allows to minimize the redundancy and lower the number of the equations of motion and thus optimize the calculations. On step three the equations of motion are integrated numerically and the resulting laws of motion are presented via user interface or files.
The aforementioned algorithm is implemented in the software complex that contains a computer algebra system, a graph library, a mechanical solver, a library of numerical methods and a user interface.
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Control theory methods for creating market structures
Computer Research and Modeling, 2014, v. 6, no. 5, pp. 839-859Views (last year): 4. Citations: 4 (RSCI).Control theory methods for creating market structures are discussed for two cases: when market participants are pursuing aims 1) of maximal growth and 2) of maximum economic efficiency of their firms. For the first case method based on variable structure systems principles is developed. For the second case dynamic game approach is proposed based on computation of Nash–Cournot and Stackelberg strategies with the help of Z-transform.
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Numerical simulation of sportsman's external flow
Computer Research and Modeling, 2017, v. 9, no. 2, pp. 331-344Views (last year): 29.Numerical simulation of moving sportsman external flow is presented. The unique method is developed for obtaining integral aerodynamic characteristics, which were the function of the flow regime (i.e. angle of attack, flow speed) and body position. Individual anthropometric characteristics and moving boundaries of sportsman (or sports equipment) during the race are taken into consideration.
Numerical simulation is realized using FlowVision CFD. The software is based on the finite volume method, high-performance numerical methods and reliable mathematical models of physical processes. A Cartesian computational grid is used by FlowVision, the grid generation is a completely automated process. Local grid adaptation is used for solving high-pressure gradient and object complex shape. Flow simulation process performed by solutions systems of equations describing movement of fluid and/or gas in the computational domain, including: mass, moment and energy conservation equations; state equations; turbulence model equations. FlowVision permits flow simulation near moving bodies by means of computational domain transformation according to the athlete shape changes in the motion. Ski jumper aerodynamic characteristics are studied during all phases: take-off performance in motion, in-run and flight. Projected investigation defined simulation method, which includes: inverted statement of sportsman external flow development (velocity of the motion is equal to air flow velocity, object is immobile); changes boundary of the body technology defining; multiple calculations with the national team member data projecting. The research results are identification of the main factors affected to jumping performance: aerodynamic forces, rotating moments etc. Developed method was tested with active sportsmen. Ski jumpers used this method during preparations for Sochi Olympic Games 2014. A comparison of the predicted characteristics and experimental data shows a good agreement. Method versatility is underlined by performing swimmer and skater flow simulation. Designed technology is applicable for sorts of natural and technical objects.
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Mathematical model of political differentiation under social tension
Computer Research and Modeling, 2019, v. 11, no. 5, pp. 999-1012We comsider a model of the dynamics a political system of several parties, accompanied and controlled by the growth of social tension. A system of nonlinear ordinary differential equations is proposed with respect to fractions and an additional scalar variable characterizing the magnitude of tension in society the change of each party is proportional to the current value multiplied by a coefficient that consists of an influx of novice, a flow from competing parties, and a loss due to the growth of social tension. The change in tension is made up of party contributions and own relaxation. The number of parties is fixed, there are no mechanisms in the model for combining existing or the birth of new parties.
To study of possible scenarios of the dynamic processes of the model we derive an approach based on the selection of conditions under which this problem belongs to the class of cosymmetric systems. For the case of two parties, it is shown that in the system under consideration may have two families of equilibria, as well as a family of limit cycles. The existence of cosymmetry for a system of differential equations is ensured by the presence of additional constraints on the parameters, and in this case, the emergence of continuous families of stationary and nonstationary solutions is possible. To analyze the scenarios of cosymmetry breaking, an approach based on the selective function is applied. In the case of one political party, there is no multistability, one stable solution corresponds to each set of parameters. For the case of two parties, it is shown that in the system under consideration may have two families of equilibria, as well as a family of limit cycles. The results of numerical experiments demonstrating the destruction of the families and the implementation of various scenarios leading to the stabilization of the political system with the coexistence of both parties or to the disappearance of one of the parties, when part of the population ceases to support one of the parties and becomes indifferent are presented.
This model can be used to predict the inter-party struggle during the election campaign. In this case necessary to take into account the dependence of the coefficients of the system on time.
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Problems of numerical simulation in the dynamics system “soil–plant”
Computer Research and Modeling, 2020, v. 12, no. 2, pp. 445-465Modern mathematical models in the dynamics system “soil–plant” are considered. The components of this system are: agricultural plant, microorganisms of the rhizosphere (root zone of plants), the mineral nutrition elements of plants in their mobile and immobile forms. The model of submitted system based on the analysis of the adopted provisions was developed. The construction of system elements allows to display the coordinated dynamics of these elements among themselves. In particular, the dynamics of mineral nutrition elements in plants and the dynamics of their biomass are determined by the current contents in the rhizosphere of mineral fertilizers and organic origin substances (plant roots, leaves, etc.). The immobility of plants spatial distribution and the mobile spatial nature of microorganisms are assumed. This mechanism is determined by diffusion. Mutual relationships between weeds and pests are suggested. The dynamics of the mineral nutrition elements is determined by the peculiarity of sorption in the soil solution, environmental conditions, organic decomposition and fertilizer application. An analytical study for a system where each of the components is represented by only one species (fertilizer, the association of microorganisms and plants) was performed. An adaptation of the wave propagation model in the “resource–consumer” system (Kolmogorov–Petrovsky–Piskunov waves) has been developed for annual agricultural crops. The developed model has been adapted for the growth of Krasnoufimskaya-100 spring wheat in a vessel on peat lowland soil, where nitrogen, phosphorus, and potassium fertilizers were added variably. Sample distributions are plants biomass and the content of mineral nutrition elements in them. The parametric identification of the model and its adequacy was performed. An assessment of the model adequacy showed a good agreement between the model and experimental data.
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Modeling of ballistics of an artillery shot taking into account the spatial distribution of parameters and backpressure
Computer Research and Modeling, 2020, v. 12, no. 5, pp. 1123-1147The paper provides a comparative analysis of the results obtained by various approaches to modeling the process of artillery shot. In this connection, the main problem of internal ballistics and its particular case of the Lagrange problem are formulated in averaged parameters, where, within the framework of the assumptions of the thermodynamic approach, the distribution of pressure and gas velocity over the projectile space for a channel of variable cross section is taken into account for the first time. The statement of the Lagrange problem is also presented in the framework of the gas-dynamic approach, taking into account the spatial (one-dimensional and two-dimensional axisymmetric) changes in the characteristics of the ballistic process. The control volume method is used to numerically solve the system of Euler gas-dynamic equations. Gas parameters at the boundaries of control volumes are determined using a selfsimilar solution to the Riemann problem. Based on the Godunov method, a modification of the Osher scheme is proposed, which allows to implement a numerical calculation algorithm with a second order of accuracy in coordinate and time. The solutions obtained in the framework of the thermodynamic and gas-dynamic approaches are compared for various loading parameters. The effect of projectile mass and chamber broadening on the distribution of the ballistic parameters of the shot and the dynamics of the projectile motion was studied. It is shown that the thermodynamic approach, in comparison with the gas-dynamic approach, leads to a systematic overestimation of the estimated muzzle velocity of the projectile in the entire range of parameters studied, while the difference in muzzle velocity can reach 35%. At the same time, the discrepancy between the results obtained in the framework of one-dimensional and two-dimensional gas-dynamic models of the shot in the same range of change in parameters is not more than 1.3%.
A spatial gas-dynamic formulation of the backpressure problem is given, which describes the change in pressure in front of an accelerating projectile as it moves along the barrel channel. It is shown that accounting the projectile’s front, considered in the two-dimensional axisymmetric formulation of the problem, leads to a significant difference in the pressure fields behind the front of the shock wave, compared with the solution in the framework of the onedimensional formulation of the problem, where the projectile’s front is not possible to account. It is concluded that this can significantly affect the results of modeling ballistics of a shot at high shooting velocities.
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Mathematical methods for stabilizing the structure of social systems under external disturbances
Computer Research and Modeling, 2021, v. 13, no. 4, pp. 845-857The article considers a bilinear model of the influence of external disturbances on the stability of the structure of social systems. Approaches to the third-party stabilization of the initial system consisting of two groups are investigated — by reducing the initial system to a linear system with uncertain parameters and using the results of the theory of linear dynamic games with a quadratic criterion. The influence of the coefficients of the proposed model of the social system and the control parameters on the quality of the system stabilization is analyzed with the help of computer experiments. It is shown that the use of a minimax strategy by a third party in the form of feedback control leads to a relatively close convergence of the population of the second group (excited by external influences) to an acceptable level, even with unfavorable periodic dynamic perturbations.
The influence of one of the key coefficients in the criterion $(\varepsilon)$ used to compensate for the effects of external disturbances (the latter are present in the linear model in the form of uncertainty) on the quality of system stabilization is investigated. Using Z-transform, it is shown that a decrease in the coefficient $\varepsilon$ should lead to an increase in the values of the sum of the squares of the control. The computer calculations carried out in the article also show that the improvement of the convergence of the system structure to the equilibrium level with a decrease in this coefficient is achieved due to sharp changes in control in the initial period, which may induce the transition of some members of the quiet group to the second, excited group.
The article also examines the influence of the values of the model coefficients that characterize the level of social tension on the quality of management. Calculations show that an increase in the level of social tension (all other things being equal) leads to the need for a significant increase in the third party's stabilizing efforts, as well as the value of control at the transition period.
The results of the statistical modeling carried out in the article show that the calculated feedback controls successfully compensate for random disturbances on the social system (both in the form of «white» noise, and of autocorrelated disturbances).
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Pattern formation of a three-species predator – prey model with prey-taxis and omnivorous predator
Computer Research and Modeling, 2023, v. 15, no. 6, pp. 1617-1634The spatiotemporal dynamics of a three-component model for food web is considered. The model describes the interactions among resource, prey and predator that consumes both species. In a previous work, the author analyzed the model without taking into account spatial heterogeneity. This study continues the model study of the community considering the diffusion of individuals, as well as directed movements of the predator. It is assumed that the predator responds to the spatial change in the resource and prey density by occupying areas where species density is higher or avoiding them. Directed predator movement is described by the advection term, where velocity is proportional to the gradient of resource and prey density. The system is considered on a one-dimensional domain with zero-flux conditions as boundary ones. The spatiotemporal dynamics produced by model is determined by the system stability in the vicinity of stationary homogeneous state with respect to small inhomogeneous perturbations. The paper analyzes the possibility of wave instability leading to the emergence of autowaves and Turing instability, as a result of which stationary patterns are formed. Sufficient conditions for the existence of both types of instability are obtained. The influence of local kinetic parameters on the spatial structure formation was analyzed. It was shown that only Turing instability is possible when taxis on the resource is positive, but with a negative taxis, both types of instability are possible. The numerical solution of the system was found by using method of lines (MOL) with the numerical integration of ODE system by means of splitting techniques. The spatiotemporal dynamics of the system is presented in several variants, realizing one of the instability types. In the case of a positive taxis on the prey, both autowave and stationary structures are formed in smaller regions, with an increase in the region size, Turing structures are not formed. For negative taxis on the prey, stationary patterns is observed in both regions, while periodic structures appear only in larger areas.
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Simulation of traffic flows based on the quasi-gasdynamic approach and the cellular automata theory using supercomputers
Computer Research and Modeling, 2024, v. 16, no. 1, pp. 175-194The purpose of the study is to simulate the dynamics of traffic flows on city road networks as well as to systematize the current state of affairs in this area. The introduction states that the development of intelligent transportation systems as an integral part of modern transportation technologies is coming to the fore. The core of these systems contain adequate mathematical models that allow to simulate traffic as close to reality as possible. The necessity of using supercomputers due to the large amount of calculations is also noted, therefore, the creation of special parallel algorithms is needed. The beginning of the article is devoted to the up-to-date classification of traffic flow models and characterization of each class, including their distinctive features and relevant examples with links. Further, the main focus of the article is shifted towards the development of macroscopic and microscopic models, created by the authors, and determination of the place of these models in the aforementioned classification. The macroscopic model is based on the continuum approach and uses the ideology of quasi-gasdynamic systems of equations. Its advantages are indicated in comparison with existing models of this class. The model is presented both in one-dimensional and two-dimensional versions. The both versions feature the ability to study multi-lane traffic. In the two-dimensional version it is made possible by introduction of the concept of “lateral” velocity, i. e., the speed of changing lanes. The latter version allows for carrying out calculations in the computational domain which corresponds to the actual geometry of the road. The section also presents the test results of modeling vehicle dynamics on a road fragment with the local widening and on a road fragment with traffic lights, including several variants of traffic light regimes. In the first case, the calculations allow to draw interesting conclusions about the impact of a road widening on a road capacity as a whole, and in the second case — to select the optimal regime configuration to obtain the “green wave” effect. The microscopic model is based on the cellular automata theory and the single-lane Nagel – Schreckenberg model and is generalized for the multi-lane case by the authors of the article. The model implements various behavioral strategies of drivers. Test computations for the real transport network section in Moscow city center are presented. To achieve an adequate representation of vehicles moving through the network according to road traffic regulations the authors implemented special algorithms adapted for parallel computing. Test calculations were performed on the K-100 supercomputer installed in the Centre of Collective Usage of KIAM RAS.
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Numerical study of the Holstein model in different thermostats
Computer Research and Modeling, 2024, v. 16, no. 2, pp. 489-502Based on the Holstein Hamiltonian, the dynamics of the charge introduced into the molecular chain of sites was modeled at different temperatures. In the calculation, the temperature of the chain is set by the initial data ¡ª random Gaussian distributions of velocities and site displacements. Various options for the initial charge density distribution are considered. Long-term calculations show that the system moves to fluctuations near a new equilibrium state. For the same initial velocities and displacements, the average kinetic energy, and, accordingly, the temperature of the T chain, varies depending on the initial distribution of the charge density: it decreases when a polaron is introduced into the chain, or increases if at the initial moment the electronic part of the energy is maximum. A comparison is made with the results obtained previously in the model with a Langevin thermostat. In both cases, the existence of a polaron is determined by the thermal energy of the entire chain.
According to the simulation results, the transition from the polaron mode to the delocalized state occurs in the same range of thermal energy values of a chain of $N$ sites ~ $NT$ for both thermostat options, with an additional adjustment: for the Hamiltonian system the temperature does not correspond to the initially set one, but is determined after long-term calculations from the average kinetic energy of the chain.
In the polaron region, the use of different methods for simulating temperature leads to a number of significant differences in the dynamics of the system. In the region of the delocalized state of charge, for high temperatures, the results averaged over a set of trajectories in a system with a random force and the results averaged over time for a Hamiltonian system are close, which does not contradict the ergodic hypothesis. From a practical point of view, for large temperatures T ≈ 300 K, when simulating charge transfer in homogeneous chains, any of these options for setting the thermostat can be used.
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