http//localhost:8080/jspui/handle/123456789/2468 Fri, 29 May 2026 19:04:24 GMT 2026-05-29T19:04:24Z http//localhost:8080/jspui/handle/123456789/13267 Comportement mécanique des résidus de mine de fer sous essai oedométrique cyclique et monotones à des niveaux de contrainte élevés Rabhi, Zahia / Encadré par MELAOUI, Rachida Cette mémoire a pour objectif d'examiner le comportement géotechnique des résidus miniers provenant de la mine de fer d'Ouenza, dans l'optique de les recycler en matériaux de remblai. Le chapitre 4 propose une enquête expérimentale détaillée, fondée sur des tests de compression et de cisaillement effectués en laboratoire. Les conclusions indiquent que le comportement des résidus est étroitement lié au taux d'humidité et à la condition de compacité. Un matériau bien compacté offre une résistance supérieure à la déformation, tandis qu'un surplus d'eau menace sa stabilité mécanique. Le cisaillement révèle une dépendance plus prononcée à la structure granulaire qu'à la cohésion intrinsèque. Ces observations indiquent que ces résidus, malgré leur origine minière, détiennent un potentiel technique variable, sous réserve de suivre des conditions spécifiques pour leur application. Ainsi, cette recherche promet une approche durable qui favorise la réutilisation des matériaux marginalisés tout en diminuant leur empreinte écologique. Wed, 11 Jun 2025 00:00:00 GMT http//localhost:8080/jspui/handle/123456789/13267 2025-06-11T00:00:00Z http//localhost:8080/jspui/handle/123456789/12952 PERFORMANCES ANALYSIS OF A SOLAR PHOTOVOLTAIC WATER PUMPING SYSTEM BEGGAS, Adem/ HACINI , Mohammed Lamine /Encadré par BOUKADOUM, Aziz Since solar energy sources offer clean energy for a variety of systems, their utilization is only increasing. They are also frequently seen in water pumping systems, particularly in places with limited access to energy and water. current (DC) and alternating current (AC) motor-powered solar water pumping systems are becoming more and more popular. pumping device was examined in this study. We evaluate the literature on water pumping systems and solar systems in the first chapter. The modeling and simulation of a photovoltaic system is covered in the second chapter. The third chapter focuses on the modeling and simulation of an induction machine connected to the grid. Finally, the last chapter presents a study of a complete system controlled by the DTC (Direct Torque Control) technique, with analysis and interpretation of the simulation results Sun, 01 Jun 2025 00:00:00 GMT http//localhost:8080/jspui/handle/123456789/12952 2025-06-01T00:00:00Z http//localhost:8080/jspui/handle/123456789/12951 Commande robuste des systèmes non- linéaires pour la gestion de l’état de charge (EDC) et de la température des batteries électriques Belfetni, Isra/ Moussa, Sakina /Encadré par Djeddi, Abdelghani This work presents a comprehensive study on electric batteries, with a particular focus on Lithium-Ion batteries due to their high efficiency. Various modeling methods (electrical, electrochemical, and artificial intelligence-based) have been discussed, along with techniques for estimating the State of Charge (SOC) and regulating temperature, given their direct impact on the battery’s performance and lifespan. A state feedback control method was employed, offering greater accuracy and stability, especially in the presence of operational disturbances. The study highlights the importance of an integrated Battery Management System (BMS) to ensure safe and sustainable energy usage in modern applications. Sun, 01 Jun 2025 00:00:00 GMT http//localhost:8080/jspui/handle/123456789/12951 2025-06-01T00:00:00Z http//localhost:8080/jspui/handle/123456789/12950 AI Applications in Characterizing and Enhancing Optical Fiber Performance Zediri ,Akila /Rehab ,Nardjes /Encadré par Gouder, Soraya Optical fibers are among the most important modern technologies in the field of communications, enabling high-speed and efficient data transmission over long distances with low signal loss and high immunity to electromagnetic interference. These fibers operate based on the principle of total internal reflection, transmitting light through a central core surrounded by a cladding with a lower refractive index. In recent years, AI has played an increasingly significant role in enhancing the performance of optical fibers. Techniques such as machine learning and ANNs networks have contributed to data analysis, fault detection, performance prediction under various conditions, and the optimization of fiber design through accurate simulations and intelligent forecasting of optical properties. The integration of AI with optical fiber technologies represents a major step toward smarter, more flexible, and more efficient communication systems. Tue, 10 Jun 2025 00:00:00 GMT http//localhost:8080/jspui/handle/123456789/12950 2025-06-10T00:00:00Z