he article presents a method for calculating the interaction of a support and an anchor rope of a logging machine on a slope. The cases of using a freestanding tree and a steel I-beam vertically driven into the ground as a support are considered. Calculations are performed using analytical dependencies, as well as the finite element method.

The results of the research activity of scientists of the Academician I.G. Petrovskii Bryansk State University in the field of developing promising domestic designs of mobile aerial rope systems of various functional purposes — mobile ropeways based on self-propelled wheeled chassis of high load capacity and cross-country ability, airmobile cable cars based on container and frame rope installations transported by air transport, forest rope units for logging. The description of the developed mathematical models and methods of modeling work processes during the operation of the specified rope equipment, including the creation of digital twins, traction calculation, analysis of dynamic processes, maintenance planning, etc. is given.

he article provides guidelines for the implementation of conceptual topology optimization. By «conceptual» is meant optimization, the result of which is not a specific design solution, but a rational topology – a structure that best transmits the given force flows. In accordance with the above recommendations, it is proposed to carry out optimization in the following sequence: determining the object of study, searching for points of application of external forces to the object and substantiating (if necessary) their most rational relative location, determining the nature of external forces at the points of their application, applying connections, taking into account other factors and analysis of the results with their possible refinement. Particular attention is paid to the issue of constructing a loading diagram for topology optimization, which, in the author’s opinion, largely determines the success of solving the problem. A correctly prepared loading diagram should take into account all the most unfavorable combinations of loads. Recommendations on the most rational construction of loading diagrams are given. The recommendations given in the article are tested on a practical example, which considers the procedure for optimizing the load grip lever. Such a grip has a complex nature of loading, and therefore its most rational structure is not obvious. Therefore, in order to search for a rational design of its elements, it is advisable to use conceptual topology optimization.

Analysis of the sources of scientific and technical literature shows that the main factors that cause the accident rate of lifting structures are factors of manmade, natural and «human» characters. The article proposes a methodology for identifying and assessing the significance of factors that are, at first glance, indirect, but have a significant impact on the causes of the accident rate of boom self-propelled cranes. The proposed methodology consists of three stages, each of which separately is quite well tested by other authors. At the first stage, based on the analysis of expert assessment according to the Hay method, it is proposed to identify significant factors. At the second stage, on the basis of the chi-squared criterion, the significance of the factor is assessed. At the third stage, a methodology for conducting a numerical experiment is proposed to assess the significance of factors based on the use of neural networks. Obviously, the proposed methodology can also be used in assessing the significance of factors of other events, and not only in case of accident rate of lifting structures.

The paper discusses the main methodological aspects of creating a carrier system (frame) of a lowpower vehicle (quad-cycle) based on tubular profiles. The basic requirements for the frame of the ATV, the issues of the layout of the ATV based on the basic three points are considered. The requirements for the ATV frame are proposed, taking into account the possibilities of unification of design elements and modernization of the structure in the future when creating other models of tires. The analysis of consumer properties for the ATV and the influence of these properties on the design of the designed machine is carried out. A simplified algorithm for the development of a low-power vehicle frame is proposed, and it is also proposed to extend the cubic shape method to the ATV design process. The accuracy requirements for various methods of assembly of tubular parts of the ATV carrier system are considered.

The paper is deals with the influence of thermal conductivity and the materials of the contact surfaces of the drill shaft and the sealing element on the change in the thermal balance of the structural unit «drilling string» used in the jet grouting technology to fix weak and unstable types of soils. A model with nodes for the computational grid of the “hydraulic puller” assembly unit is shown, part of which are the considered drill shaft and sealing elements. The temperature values are calculated by the finite element method in the «Siemens Femap’s» environment depending on the change in the thermal conductivity coefficients of the contacting elements. Calculations were carried out for the fourth part of the indicated model, due to the axisymmetry of the problem being solved, this made it possible to significantly reduce the amount and time of calculations. Graphs of the corresponding dependence are constructed for a number of points located in the characteristic areas of the hydraulic stripper. Also, by power regression, expressions were obtained that allow calculating the temperature values in the indicated areas of the considered assembly. The obtained dependencies will make it possible in the future to select the material for the drill shaft of the hydraulic puller based on the optimal ratio of the thermal conductivity of the shaft, its corrosion resistance, determined by the chemical composition of the steel and the thermal conductivity of the sealing.

Rope transport has received quite a lot of development in the field of passenger and cargo transportation. In some cases (for example, in ski resorts), it is indispensable. To prevent emergency situations, a sufficiently large number of standards and rules for safe operation and maintenance have been developed. However, emergencies do occur. One of the reasons is the insufficient professional training of rope transport workers, who must know and possess the skills to apply the provisions of regulatory documentation, as well as properly perform their professional duties. This article is devoted to the scientific problem of probabilistic assessment of the possibility of various emergency situations on cable transport, depending on the level of mastery of professional competencies and their constituent knowledge, skills and abilities. To solve this problem, a technology based on neural network training has been applied. As an example, specialists in the professional standard «Specialist in the organization of safe operation of passenger cable cars and funiculars» are considered.

The paper considers the problem of monitoring the technical state of steel ropes used in industrial and civil installations, such as elevators, cable cars, lifts, etc. To date, the assessment of the state of steel ropes and the safety of their operation is carried out mainly through visual-instrumental control, which is long in time and subject to the influence of the human factor, which determines the relevance of the task of automating this process using computer technology and artificial intelligence methods in order to improve the quality of the assessment, reducing the check interval, detecting defects in steel ropes at an early stage. The article proposes two approaches to the algorithmizing of the problem of videoscopic control of the state of steel ropes using computer vision technologies, based on software modeling of the logic of visual analysis and machine learning methods, such as deep learning artificial neural networks. The authors have developed algorithms for automatic detection of the main types of defects in images of the surface of steel ropes: increase/decrease in diameter, deformation in the form of rope, breaks in the outer wires, thermal and electric damage. The paper presents the results of preliminary testing of the developed algorithms and programs, the composition and methods for determining the main indicators for evaluating their effectiveness are proposed.