The article considers the issues of improving the technology of preparing concrete mixtures for road surfaces at existing concrete mixing units without additional costs for their technical re-equipment. The essence of improving the preparation of concrete mixtures lies in the complex use of carbonate microfiller and superplasticizer additives in combination with the developed innovative method of preparing concrete mixture. The article shows that when using a polycarboxylate superplasticizing additive and a microfiller based on porous shell limestone in combination with the proposed method of preparing concrete mixture, it is possible to obtain road concrete with the required strength properties with a cement consumption reduced by 50 kg/m³.

Keywords: road concrete, superplasticizer, mineral micro filler, method of preparation of concrete mix

In this article, we examined the permeability of concrete and the effect of corrosion processes on the durability and reliability of reinforced concrete structures. Attention is paid not only to the causes and mechanisms of corrosion, but also modern methods and strategies for protecting concrete and reinforced concrete structures from it are provided, aimed at extending their service life and ensuring operational safety. This knowledge will allow engineers and builders to plan and implement projects more efficiently, reducing the risks and economic losses associated with corrosion processes.

Keywords: corrosion of concrete, corrosion of steel reinforcement, permeability, reinforced concrete, durability, strength, reliability

The article is devoted to the development and calculation of cable-stayed structures used as protective barriers against unmanned aerial vehicles (UAVs). The analysis of the design and calculation of cable-stayed structures for protective enclosing structures designed to counter UAVs is carried out. The main stages of the calculation are considered, including the determination of external loads, dynamic modeling of shock effects, finding the dynamicity coefficient through energy loss, and the conversion of kinetic energy into potential energy. The prospects for the development of this area are discussed with an emphasis on modularity, adaptability and integration of systems. It is concluded that cable-stayed structures are a promising solution for protecting critical facilities, providing high strength with minimal weight and cost.

Keywords: cable-stayed structures, impact impacts, protective enclosing

The article discusses the use of a recurrent neural network in the task of predicting pollutants in the air based on simulated data in the form of a time series. Neural recurrent network models with long Short-Term Memory (LSTM) are used to build the forecast. Unidirectional LSTM (hereinafter simply LSTM), as well as bidirectional LSTM (Bidirectional LSTM, hereinafter Bi-LSTM). Both algorithms were applied for temperature, humidity, pollutant concentration, and other parameters, taking into account both seasonal and short-term changes. The Bi-LSTM network showed the best performance and the least errors.

Keywords: environmental monitoring, data analysis, forecasting, recurrent neural networks, long-term short-term memory, unidirectional, bidirectional

The article contains the results of stress analysis in dangerous sections of a single-span steel box beam made of two channels, strengthened with two metal strips welded at the top and bottom between the channels, with different geometric characteristics of the strengthened elements. The results of a numerical experiment of strengthened beams are presented. According to the results of the numerical experiment, it was found that equalization of stresses in dangerous sections allows to reduce the material consumption of the structure in comparison with beams selected according to the assortment for the required moment of resistance.

Keywords: steel beam, load-bearing capacity, stresses, displacements, finite element method, structural strengthening

Steel hoisting ropes play an important role in metallurgical equipment, ensuring reliability and efficiency of lifting operations. One of the key features of their operation is the high level of contamination typical of metallurgical operations. Metallurgical processes are often accompanied by dust, metal chips and other abrasive particles that can significantly degrade ropes, causing wear and corrosion. To maintain the efficient operation of equipment it is necessary to monitor the condition of hoisting ropes in real time, which makes the task of improving automatic systems for monitoring the condition of ropes urgent. The paper reviews the methods of optical control of defects in hoisting steel ropes, the advantages and limitations of different approaches are considered. The aim of the work is to justify the effectiveness of the authors' developed method of analyzing rope defect images using neural networks in relation to the method based on the discrete Fourier transform. It is revealed that one of the most promising in terms of technical and economic efficiency of inspection methods is the application of vision system with image processing based on convolutional neural network technology, which allows to effectively detect defects in complex and changing operating conditions, such as metallurgical and mining production, where the background of the image may be non-uniform, and the distance between the camera and the rope varies.

Keywords: lifting ropes, vision systems, optical control methods, fast Fourier transform, hidden Markov models, convolutional neural networks

The article considers the issues of imitation modeling of fibrous material mixing processes using Markov processes. The correct combination and redistribution of components in a two-component mixture significantly affects their physical properties, and the developed model makes it possible to optimize this process. The authors propose an algorithm for modeling transitions between mixture states based on Markov processes.

Keywords: modeling, imitation, mixture, mixing, fibrous materials

This article discusses the basic concepts and practical aspects of programming using the actor model on the Akka platform. The actor model is a powerful tool for creating parallel and distributed systems, providing high performance, fault tolerance and scalability. The article describes in detail the basic principles of how actors work, their lifecycle, and messaging mechanisms, as well as provides examples of typical patterns such as Master/Worker and Proxy. Special attention is paid to clustering and remote interaction of actors, which makes the article useful for developers working on distributed systems.

Keywords: actor model, akka, parallel programming, distributed systems, messaging, clustering, fault tolerance, actor lifecycle, programming patterns, master worker, proxy actor, synchronization, asynchrony, scalability, error handling

This article is devoted to a comparative analysis of the resilience of ResNet18 and ResNet50 neural networks to adversarial attacks on training sets. The issue of the importance of ensuring the safety of learning sets is considered, taking into account the growing scope of artificial intelligence applications. The process of conducting an adversarial attack is described using the example of an animal recognition task. The results of two experiments are analyzed. The purpose of the first experiment was to identify the dependence of the number of epochs required for the successful execution of an adversarial attack on the training set on the neural network version of the ResNet architecture using the example of ResNet18 and ResNet50. The purpose of the second experiment was to get an answer to the question: how successful are attacks on one neural network using modified images of the second neural network. An analysis of the experimental results showed that ResNet50 is more resistant to competitive attacks, but further improvement is still necessary.

Keywords: artificial intelligence, computer vision, Reset, ResNet18, ResNet50, adversarial attacks, learning set, learning set security, neural networks, comparative analysis

The article presents an analysis of the application of the Socratic method for selecting machine learning models in corporate information systems. The study aims to explore the potential of utilizing the modular architecture of Socratic Models for integrating pretrained models without the need for additional training. The methodology relies on linguistic interactions between modules, enabling the combination of data from various domains, including text, images, and audio, to address multimodal tasks. The results demonstrate that the proposed approach holds significant potential for optimizing model selection, accelerating decision-making processes, and reducing the costs associated with implementing artificial intelligence in corporate environments.

Keywords: Socratic method, machine learning, corporate information systems, multimodal data, linguistic interaction, business process optimization, artificial intelligence

The article is a continuation of the research on increasing the durability of heavy concrete and extending the life cycle of structures. The objective of the study is to determine the effect of the action of microsilicon and trepel additives introduced into the concrete mixture on increasing the strength characteristics of concrete. A control composition of a given concrete class in terms of strength B60, class F400 frost resistance and W20 water resistance, with the addition of superplasticizer ST 5.0, was selected. A comparative analysis of various concrete compositions was carried out in order to increase their strength characteristics and density. As a result of experiments, it was found that the introduction of 5% silica or trepel, as well as their combinations, helps to achieve a given strength class of B60 and increase the density of concrete. The use of superplasticizer ST 5.0 ensures the necessary mobility of the mixture without increasing the water-cement ratio, which improves the durability and performance of the materials. The results obtained allow us to recommend additives for the production of high-strength concrete with improved technical performance.

Keywords: silica, concrete strength, trepel, concrete mix, superplasticizer, water-cement ratio, heavy concrete, active mineral additives, concrete, MCU-85

The article examines the modular structure of interactions between various models based on the Socratic dialogue. The research aims to explore the possibilities of synthesizing neural networks and system analysis using Socratic methods for managing corporate IT projects. The application of these methods enables the integration of knowledge stored in pre – trained models without additional training, facilitating the resolution of complex management tasks. The research methodology is based on analyzing the capabilities of multimodal models, their integration through linguistic interactions, and system analysis of key aspects of IT project management. The results include the development of a structured framework for selecting suitable models and generating recommendations, thereby improving the efficiency of project management in corporate environments. The scientific significance of the study lies in the integration of modern artificial intelligence approaches to implement system analysis using multi – agent solutions.

Keywords: neural networks, system analysis, Socratic method, corporate IT projects, multimodal models, project management

In this paper, an analysis of the calculation results is carried out, which makes it possible to assess the real impact of impact and explosive effects from UAVs on the strength of reinforced concrete structures. Load limits are set, depending on the four most common types of walls. The previously published classification made it possible to identify the main parameters necessary for a detailed load calculation.

Keywords: extreme loads, explosion, self-supporting walls, reinforced walls, non-reinforced walls, load-bearing walls, UAVs, strength testing, building structures, shock waves

The article proposes a concept of spatially-oriented risk management in territorial systems, taking into account the relationship between threats, development goals and measures of influence. The model is based on the geographical distribution of factors and assumes scenario analysis of spatial changes. Particular attention is paid to integration with regional geoportals as means of visualization, data aggregation and decision support. The role of risks not only as constraints, but also as sources of transformation is emphasized. The presented approach is aimed at increasing the adaptability of management, coordinating spatial interests and developing an analytical infrastructure capable of supporting strategic planning in the context of natural and socio-economic instability.

Keywords: geographic information system, geoportal, risk analysis, spatial data, geosystems, geographically distributed organizational system

The paper considers the solution of an urgent scientific and technical problem of developing a tilt angle sensor designed for automated position measurement of optical and optoelectronic systems. The principle of operation of the tilt angle sensor or inclinometer is to measure the direction of acceleration of gravity in the coordinate system associated with the target object, which allows calculating the angles of deviation of the vertical axis of the object from the ideal position. Capacitive sensors measure the angle of inclination by monitoring changes in capacitance due to external influences and often have a fairly simple design. In this paper, we consider a sensor design that uses a metal ball moving in a dielectric tube with electrodes attached to it. To investigate the possibilities of optimizing the device, a mock-up was developed on which the change in capacitance was analyzed depending on the size of the ball, the diameter of the tube and the shape of the electrodes. An important goal of this study was to determine the optimal diameter of the ball inside the dielectric tube to obtain the most noticeable changes in capacitance. The best results were obtained using a metal ball with a diameter slightly smaller than that of a dielectric tube. To measure the capacitance the "capacity–frequency" conversion can be used, followed by measuring the latter using a microcontroller. The resulting capacitance values are very small, which leads to a significant impact of any connecting wires and requires reducing the distance between the primary converter and the signal processing circuit, which can be achieved using micromechanics and microelectromechanics technologies and integrating the entire sensor design into one miniature housing. At the same time, with a decrease in the size of the elements of the primary converter, the value of the detected capacitance will obviously decrease, which will significantly complicate its conversion into an electrical signal.

Keywords: tilt angle, electronic sensor, inclinometer, position control, capacity change, primary converter, auto generator, miniaturization