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
In this article, an analysis of the main methods for solving the linear cutting problem (LCP) with the criterion of minimizing the number of knife rearrangements is presented. The linear cutting problem in its general form represents an optimization problem that involves placing given types of material (rolls) in such a way as to minimize waste and/or maximize the use of raw materials, taking into account constraints on the number of knives, the width of the master roll, and the required orders. This article discusses a specific case of the problem with an additional condition for minimizing knives' changes and the following approaches for its solution: the exhaustive search method, which ensures finding a global optimal solution but can be extremely inefficient for problems with a large number of orders, as well as random search based on genetic and evolutionary algorithms that model natural selection processes to find good solutions. Pseudocode is provided for various methods of solving the LCP. A comparison is made in terms of algorithmic complexity, controllability of execution time, and accuracy. The random search based on genetic and evolutionary algorithms proved to be more suited for solving the LCP with the minimization of waste and knife rearrangements.
Keywords: paper production planning, linear cutting, exhaustive search, genetic algorithm, waste minimization, knife permutation minimization
Additive manufacturing technologies (AMT) has become one of the main trends in the development of innovative technologies in construction sector. The study examines the implementation of AMT using practical and illustrative example of its utilisation. In order to demonstrate and describe the sequence of steps 3D model of undersized building was created using fused deposition modeling (FDM). The methodology applied is model-driven. It was chosen in order to collect the experience, compare it with previous studied and use to the realistic manufacturing process. The aim of this paper was to identify possible limitations and challenging issues requiring further consideration and development. The main assumptions of this experiment are stated below with the purpose to explain the results obtained properly. In this study limitations of the previous studies are highlighted and possible solution methods are described referring to literature review and analysis. The main steps of AMT are shown step by step aimed to consistently study and reproduce the real process. The obtained information could broaden the current knowledge and help the researchers to apply the 3D printing (3DP) to access the full potential of it. Moreover, the paper also hypothesized the possible future directions for the future studies. Overall, the current key challenges to overcome in the nearest future are presented and discussed with a view to enable clean insights of AMT integration in construction sector.
Keywords: additive manufacturing, additive construction, construction technology, construction automation, digital construction, 3D printing, 3D model, civil engineering, emerging technology, fabrication, construction design, technology adoption
Numerical analysis of stress-strain state of monolithic slab with account of corrosion damage of concrete and reinforcement of compressed and tensile zones in the span part of the slab in PC LIRA-SAPR is carried out. 6 variants of corrosion damage depending on the area of spreading and degree of degradation are considered. The calculations have been carried out taking into account physical and geometrical nonlinearity. The peculiarities of structural deflections changes at different variants of corrosion damage and loading levels of the floor slab have been revealed. Redistributions of forces in spans and on supports arising at local changes of concrete and rebars stiffnesses are analyzed. No structural failure stage has been identified for the adopted design characteristics and damage variants.
Keywords: monolithic slab, corrosion damage of reinforced concrete, numerical analysis, redistribution of forces, bearing capacity, deformation capacity
The paper presents the results of research into the efficiency of fine-grained concrete made using substandard materials and complex modifying admixture. The aim of the work is to evaluate the effect of multicomponent admixture on strength characteristics and efficiency of concrete. For this purpose the fractional factor experiment with variation of seven factors was applied, which were: microsilica, superplasticizers and other additives influencing both the properties of fine-grained concrete mixture and the properties of fine-grained concrete. The main criteria for assessing the influence of complex modifying admixtures were taken as the coefficient of structural quality and specific cement consumption per unit strength. The conducted research allowed to establish that the optimal composition of the additive increases the CQC by 29.9% and reduces the specific cement consumption by 24.6% in comparison with the control samples. It is shown that a balanced combination of additives improves the performance properties of concrete, contributing to resource saving and reducing the environmental load.
Keywords: fine-grained concrete, substandard materials, complex modifying admixture, structural quality coefficient, specific cement consumption, mathematical planning of the experiment, resource saving, compressive strength
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 provides an overview of existing technical solutions, considered from the point of view of two approaches: complete replacement of the electrolysis plant with a modern analog; replacement of only the measuring part of the system. Based on the results of a review of existing technical solutions, it was concluded that the purchase and replacement of an entire electrolysis plant or a software measuring part is economically unprofitable, and Berezovskaya GRES can implement its own SEU-20 plant management system using modern Russian-made automation software, but its own development will bring significant economic benefits. due to the lower cost compared to foreign counterparts. Для проектируемой системы управления технологическим процессом выбрано необходимое оборудование. Рассчитано время реакции системы при аварийной ситуации. Разработаны электрическая структурная и функциональная схемы автоматизации электролизной установки СЭУ-20. Разработан интерфейс АРМ оператора и произведено моделирование разработанной программы с отработкой различных ситуаций.
Keywords: electrolysis plant, import substitution, remote control, remote control, PLC programming, APM operator
The installation of foundations of production facilities on sites subject to karst formation and suffusion processes in conditions of weak soils is a serious problem in the design and construction of large distribution centers. In such a situation, it is necessary to calculate the load-bearing elements of the building for the effect of the lack of reaction of the base under the sole of the foundations on a site with a diameter of 3.0 m, located in the most unfavorable places from the point of view of structural work. Such unfavorable locations of a karst sinkhole can be determined by digitally constructing "influence functions" and obtaining "envelope" diagrams of pressure on the base, foundation sediment, and structural reinforcement. If the maximum allowable precipitation of the foundations obtained by calculation is exceeded, it is possible to strengthen the soils by layer-by-layer recycling, which will allow reaching the normative indicators.
Keywords: karst formation, suffusion, sinkhole, calculated combination of loads, special combination of loads, reinforcement, foundation sedimentation, ground pressure
To ensure the safety of capital construction facilities, it is necessary to anticipate and predict risks at the planning and design stage. Risk forecasting is carried out in both quantitative and qualitative measurement. The accuracy of the calculations requires consideration of a large number of different risks, their causes, possible consequences and the likelihood of their occurrence. At this scale of input, traditional ways of calculating construction risks are costly in terms of money and labour, and can be very time-consuming. Artificial intelligence and machine learning technologies automate the process of risk assessment and calculation. With digital technology, all the factors arising during construction will be taken into account in real time. Despite a number of limitations in the application of this technology, this method is the most promising and increasingly widespread.
Keywords: construction, capital engineering, safety, risk, risk forecasting, risk assessment, risk management, artificial intelligence, machine learning
This article raises the question of the role of artistic and aesthetic forcing solutions for the reconstruction of commercial enterprises located in the historical center of Rostov-on-Don. The visual component of the anthropogenic environment, especially the urban fabric of the historical center, is one of the most important factors shaping the quality of life in the city. The analysis provided illustrates two different but illustrative situations. The first of which is an intervention in the structure of one building, the second is the reconstruction of a block (insert). As a result of the research, conceptual proposals were formed based on such categories as style, coloristic solution, material, number of floors and based on the analysis.
Keywords: urban environment, reconstruction of the quarter, historical buildings, reconstruction of commercial enterprises
In the process of developing a plot of the junction field, the theoretical calculation of the load capacity and the permissible load on the piles is carried out, based on which the number of piles and their arrangement are decided. The results of theoretical calculations are in some cases underestimated when compared with actual values, and the application of theoretical calculation may lead to an increase in construction costs. The article examines the change of pile size and position in a swave field after the actual results of the field tests are obtained. The technical-economic comparison was carried out and the conclusion of the effectiveness of the adopted solution for the three designed houses was drawn.
Keywords: pile, load-bearing capacity, the maximum weight load, pile field, techno-economic comparison
The cargo turnover of modern distribution centers of network operators reaches hundreds of thousands of tons per year. The technological load on the floors in the warehouse part of the building is 8-10 t/m2 (80-100 kPa), on the floors – up to 2.4 t/m2 (24 kPa). These loads transfer significant pressure through the foundations of the frame to the ground, which, with large sole sizes and mutual influence, increases the lower boundary of the compressible thickness and, as a result, the draft of structures. In the presence of weak soils at the base, precipitation reaches exorbitant values. The situation is aggravated by the high groundwater level, which also increases the sedimentation of foundations. The article presents and analyzes options for solving the problem by strengthening the base by compacting the top layer and cementing it to different depths depending on the pressure and construction of the foundation.
Keywords: reinforcement of the base, recycling, permissible calculated precipitation, calculated soil resistance
This paper presents the results of an investigation into the adhesion properties of release coatings based on polyisobutylene applied to metallic substrates. A software tool was developed in Microsoft Visual Studio using the C++ programming language to compute the composition and effective technological parameters for forming coatings that ensure optimal adhesion to protected surfaces. As a case study, the method of calculating the relationships between composition, temperature, and formation time is demonstrated for coatings achieving the highest adhesion, corresponding to a score of “zero” on the standardized six-point cross-cut adhesion test. It is shown that the application of the developed software enables parameter evaluation within 1–2 seconds. The computational results are experimentally validated. The morphology of the coatings was examined using optical microscopy. It was observed that no delamination occurs at the intersection points of cuts or within the grid pattern.
Keywords: coating, adhesion, microstructure, cross-cut test, polyisobutylene, optimization
The article presents an adaptive convolutional neural network for automated detection of safety violations in real time. Unlike existing solutions using static models, the proposed approach includes two key innovations. Automatic adaptation of model weights with a combination of stochastic and gradient descent methods. The algorithm dynamically adjusts the learning rate and the depth of parameter modification, which makes it possible to preserve previously acquired knowledge while further training on new data without degrading accuracy. Optimized context processing mechanism – the model analyzes not only objects (for example, the absence of a helmet), but also their relative location (a worker in a dangerous area without personal protective equipment), which reduces the number of false alarms. The developed system integrates computer vision, alert generation, and analytics modules, providing not only instant response to violations, but also long-term risk analysis. Experiments have confirmed a 15% increase in accuracy when working in changing lighting conditions and shooting angles.
Keywords: convolutional neural network, information system, industrial accidents, safety, production, model training, neural network, adaptive algorithm
Digital twin technology shows significant potential in transforming various industries by enabling the modeling, analysis, and optimization of complex systems in real time. The integration of digital twin with the Industrial Internet of Things has opened up new opportunities for innovation and efficiency. In this regard, this article describes the methods and technologies that can be used to develop digital twins in Industrial Internet of Things applications and systems. Special attention is paid to such methods as: multiphysics and multiscale modeling, system life cycle method, data-driven modeling. Some technologies and architectures that can be used at three levels of creating a digital twin for Industrial Internet of Things systems are also described.
Keywords: digital twin, model, system, data, architecture, Industrial Internet of Things, communication, network, analysis, sensors