http://repository.enp.edu.dz/jspui/handle/123456789/148 2026-04-06T18:28:12Z http://repository.enp.edu.dz/jspui/handle/123456789/11283 Title: Investigation of the effects of surface gravity waves on the distribution of hydrodynamic pressures by the finite element method : case of a vertical rigid dam Authors: Dellil, Hadjer Abstract: This study examines the influence of surface gravity waves on the hydrodynamic pressures exerted on a rigid vertical dam during horizontal ground motions. Using the Finite Element Method for both incompressible and compressible fluid models, hydrodynamic responses are quantified. By accounting for surface-wave effects through a linearized free-surface condition, the analysis ensures their consistent influence. The El Fodda gravity dam serves as a case study, with outcomes assessed in both the time and frequency domains to highlight critical impacts, comparing situations with and without surface wave effects. These findings provide a foundation for interpreting how different wave effects manifest under various conditions. Building on these results, the analysis shows that surface waves have the most influence at low frequencies. At these levels, there is a substantial reduction in base pressures. As excitation frequency increases, their effect weakens, and compressibility governs the response, especially during seismic events. This behavior matches trends reported in the specialized literature. It highlights the need to distinguish surface-waves and compressional effects when assessing dam safety. Description: Mémoire de Projet de Fin d’Études : Génie Civil : Alger, École Nationale Polytechnique : 2025 2025-01-01T00:00:00Z http://repository.enp.edu.dz/jspui/handle/123456789/11246 Title: Artificial neural networks for predicting the maximum surface settlement induced by EPB-TBM : the Algiers metro case Authors: Ayari, Ilies; Derbal, Yacine Abstract: This thesis presents a methodology to correlate ground surface movements (settlement) with tunnel boring machine (TBM) operation parameters , Tunnel geometry and Geotechnical pa-rameters using an Artificial neural network model to predict maximum ground surface settle-ment. Data analyzed were selected from the excavation of the extension of Algiers subway line “1” (El-Harrach to H.B. Int. Airport) tunnel, which was performed by a shield TBM. The surface settlements observed along the entire tunnel section of the project (Contract 1-9) were satisfactorily reproduced by the proposed ANN model. A dedicated pre-processing procedure was necessary to enhance the model’s predictive capability, followed by a sensitivity analysis to assess the individual contribution of each feature Description: Mémoire de Projet de Fin d’Études : Génie Civil : Alger, École Nationale Polytechnique : 2025 2025-01-01T00:00:00Z http://repository.enp.edu.dz/jspui/handle/123456789/11245 Title: Hybrid aI-based sensor optimization for structural health monitoring of multi-story buildings — case study : HQ tower R+12 Authors: Boukharouba, Mohamed Abstract: Structural Health Monitoring (SHM) plays a critical role in ensuring the safety and func- tionality of vital structures such as bridges, dams, and public buildings. To make SHM sys-tems more cost-effective, it is essential to optimize the number and placement of sensors, reducing implementation costs while maintaining reliable damage detection and structural assessment. This study addresses the problem of optimizing damage-adaptive sensor layout in struc- tural health monitoring (SHM) for multi-story buildings. A three-dimensional finite ele- ment model of a 12-story reinforced concrete tower (R+12) was developed using SAP2000, enabling the identification of high-risk damage zones based on internal force distributions. Steady-state vibration responses were generated, and a genetic algorithm was used to iden-tify the optimal sensor configuration for each damage scenario using distance matrices as damage-sensitive features. These scenario-based layouts were then merged into a unified configuration by analyzing sensor occurrence and importance scores. The final sensor set ensures sufficient coverage and sensitivity to structural degradation while maintaining a reduced number of sensors. The proposed approach provides a scalable and practical solution for SHM system design in complex structures with anticipated damage regions Description: Mémoire de Projet de Fin d’Études : Génie Civil : Alger, École Nationale Polytechnique : 2025 2025-01-01T00:00:00Z http://repository.enp.edu.dz/jspui/handle/123456789/11244 Title: Étude et conception d’un pont routier : à Tebessa, au PK 3+389 Authors: Habassi, Hidaya-Nouha-Nihad; Benmedjennah, Mohamed-Mounsif Abstract: Ce travail consiste à concevoir et étudier un double pont multi-poutres autoroutier au point kilométrique PK 3+389 dans la wilaya de Tébessa. Ce mémoire comporte plusieurs parties, il s’intéresse à la présentation du projet, et d’une conception générale proposant trois variantes, la variante la plus avantageuse a été sélectionnée selon plusieurs critères. L’étude a été réalisée sur un pont à poutres précontraintes par post-tension composé de trois travées de 33,4 mètres chacune. A cet effet, le pré-dimensionnement, l’étude de la précontrainte et l’étude des éléments constitutifs de cet ouvrage ont été fait ; à savoir, le tablier, la pile et la culée. Les plans et schémas ont été réalisés avec Autodesk AutoCAD. La modélisation a été exécutée sur Robot Structural Analysis 2025, et le ferraillage avec BA Expert. L’étude et les vérifications des calculs sur ce pont ont été effectuées conformément aux normes en vigueur (RCPR2008, RPOA2008, BAEL91, BPEL, ainsi que les guides SETRA) Description: Mémoire de Projet de Fin d’Études : Génie Civil : Alger, École Nationale Polytechnique : 2025 2025-01-01T00:00:00Z