Magazine of Civil Engineering

RAR RUS 14101-14101 56703453300 0000-0002-4149-4348 Peter the Great St. Petersburg Polytechnic University Feshin Aleksandr feshin_ao@spbstu.ru

St. Petersburg, Russian Federation

57212553296 0000-0003-2722-5552 Peter the Great St. Petersburg Polytechnic University, Polyukhovich Maxim

St. Petersburg, Russian Federation

57210916868 0000-0002-8392-1790 Peter the Great St. Petersburg Polytechnic University Logvinova Yulia logvinova_yuv@spbstu.ru

St. Petersburg, Russian Federation

Burlov Vyacheslav Barskov Victor viktorbarskov@ntcmtt.ru 0000-0002-4101-878X Technological University of Havana "José Antonio Echeverría" Arzola-Ruiz Jose josearzolaruiz1945@gmail.com

Havana, Cuba

Peter the Great Saint Petersburg Polytechnic University Castro Jose jose.castro.lozano@hotmail.com

Polytechnicheskay, 29

Electric power system functioning in conditions of extreme weather events in the presence of distributed generation based on renewable energy sources Significant number of accidents in electric power systems are caused by the effects of extreme weather events. In such conditions, providing consumers with electric energy is especially important. This study is devoted to solving this problem, in which a decision-making model has been developed that takes into account distributed generation based on renewable energy sources. The proposed model is a procedure for optimizing the established electric power mode. Optimization is performed using a genetic algorithm. The regulated parameters are the active capacities of electric power plants, the voltage on the busbars of generators of these stations, and the transformation coefficients. The values of these parameters are determined in case of disconnection of one and two overhead power lines using the example of a modified IEEE-39 circuit. The results show that distributed generation makes it possible to provide full power supply to consumers in a larger number of these emergencies (by 13.2 % and 27.2 %, respectively). With the most optimal location and generation capacity based on renewable energy sources, full power supply to consumers is achieved in 100 % and 98.3 % of emergency situations, respectively. The proposed decision-making model has a high potential to expand its functionality. 10.34910/MCE.141.1 004.02 energy efficiency optimal mode machine learning genetic algorithm objective function optimal allocation extreme weather event https://engstroy.spbstu.ru/article/2026.141.1/

RAR RUS 14102-14102 Peter the Great Saint Petersburg Polytechnic University Sabri Mohanad Muaya mohanad.m.sabri@gmail.com

Polytechnicheskay, 29

University of Technology Fattah Mohammed Y. myf_1968@yahoo.com

Baghdad, Iraq

University of Technology Abood Ahmed bce.20.32@grad.uotec

Baghdad, Iraq

University of Technology Al-Adili A.Sh. Aqeeladili@hotmail.com

Baghdad, Iraq

Dynamic characteristics of machine foundation under harmonic loading on gypseous soil with various degrees of saturation Most previous studies on collapsible soils have demonstrated considerable variability in reliability, primarily due to variations in testing procedures and sampling methods. Additionally, it has often employed static testing as its primary method of validation. However, as development continues, a gap remains in our understanding of how collapsible soil reacts to various dynamic stresses, including mechanical equipment, power stations, trains, roadways, and other dynamic loads. Conventional studies often fail to adequately represent real dynamic loading conditions. Accordingly, it is essential to investigate the response of gypseous soils to vibration and varying moisture content. This research aims to characterize the dynamic behavior of gypseous soil under different saturation states (unsaturated and saturated), subjected to harmonic loading at a relative density of 35%, with additional consideration of foundation depth and eccentric mass. The experimental program aims to establish a database that enables reliable correlations between wave attenuation and soil damping in gypseous soils. Results showed that the dynamic characteristics of gypseous soil increased by 50-52% with settlement, 3-6% with sorption stress, 47-68% with total stresses, 42-46% with acceleration, and 44-48% with vertical displacement as frequency increased. However, they decreased by 6-7% for settlement and total loads, 2-5% for acceleration, and 6-9% for vertical displacement when gypseous soil saturation rose to 60%. Saturation levels also influenced these increases, which ranged from 60% to 100% (149-150%) for settlement, 139-173% for total stresses, 50-51% for acceleration, and 52-54% for vertical displacement. Meanwhile, suction stress increased between 45% and 457% as the gypsum soil's saturation level reached 60%, then decreased between 100% and 104% as saturation increased above 60% but before reaching 100%. 10.34910/MCE.141.2 624.13 amplitude dynamic behavior dynamic characteristics gypseous soil harmonic loading saturation degree https://engstroy.spbstu.ru/article/2026.141.2/