In the article the process of destruction of the array of Cambrian clays by cutting, as a dynamic contact problem of mechanics, solved with using the software environment ANSYS Worbench, is observed. The obtained results are verified on a laboratory bench setup with experimental investigations. Analysis of the results of computational and laboratory experiments shows that in the framework of theoretical and experimental approach to solving problems of continuum mechanics, as an integral part of the basic research a finite element method can be used, which lets adequately and with sufficient accuracy to determine the power and energy indicators of process of destruction of the clay arrays by cutting. A characteristic feature of the process of destruction of flooded Cambrian clays is significant plastic deformation of rocks at the contact with the cutter. The separation of the elements of destruction from the array occurs under the action of shearing stress by the formation of shear cracks. High viscosity of arrays of Cambrian clays defines a large share of energy consumption on their destruction, comparable in value to the energy intensity of the process of cutting of hard coal and salt rocks. The use of computer simulation can significantly reduce the duration and increase the accuracy of design calculations at designing of the actuating devices of mining machines.

The research considers conducting orthogonal experiment (OT) as one of the stages in developing a new discrete element method (DEM) parameters calibration approach. The measured responses in experiment are the parameters obtained by DEM animation processing using machine vision system (MVS). The variable factors in experiment are DEM parameters. A brief overview of an existing calibration approaches given in the article. The choice of OT as a design of experiment tool among other mathematical tools discussed. Experiments conducted using specially developed rig where bulk material's flow captured as DEM animation. DEM animation converted to video and then processed using MVS that allow register the values of such parameters as angle of repose or expiration time (measured responses). The results of the OT show that it is possible to identify four measured responses with the most valuable correlation coefficient. DEM parameters with the biggest influence on the measured responses identified for each of the obtained regression. Obtained results are useful in learning or iterative algorithms development for DEM parameters calibration.

This paper analyzes the possibility of using electric vehicles as a controlled distributed generator. Aggregation of demand and supply for electric power with the participation of batteries allows us to solve the problem of the development of the electric grid infrastructure of megacities. The absence in some areas of the city of opportunities for technological connection of consumers and significant deterioration of the network infrastructure is solved by the integration of electric vehicles in the city's power system. The article shows that information technology allows you to control the energy curve over time. At the same time, the power schedule in the loaded power centers will be deprived of pronounced highs and lows, which favorably affects the loading of generating capacities. Informatization of electric transport and the use of a digital platform will eventually become part of the concept of "smart city".