| Titre : | Artificial neural networks for predicting the maximum surface settlement induced by EPB-TBM : the Algiers metro case |
| Auteurs : | Ilies Ayari, Auteur ; Yacine Derbal, Auteur ; Sebaï, Souâd, Directeur de thèse |
| Type de document : | document électronique |
| Editeur : | [S.l.] : [s.n.], 2025 |
| Format : | 1 fichier PDF (27.3 Mo) / ill. |
| Note générale : |
Mode d'accès : accès au texte intégral par intranet.
Mémoire de Projet de Fin d’Études : Génie Civil : Alger, École Nationale Polytechnique : 2025 Bibliogr. p. 92-94 |
| Langues : | Anglais |
| Index. décimale : | PB00425 |
| Tags : | Artificial neural network EPB-TBM tunneling Prediction of surface settlement Machine learning |
| Résumé : |
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. |
Exemplaires (1)
| Cote | Support | Localisation | Section | Disponibilité | Spécialité | Etat_Exemplaire |
|---|---|---|---|---|---|---|
| PB00425 | Ressources électroniques | Bibliothèque centrale | Projet Fin d'Etudes | Disponible | Genie_civil | Téléchargeable |
