Computational fluid dynamics and artificial neural networks for modelling lined irrigation canals with low‐density polyethylene and cement concrete liners

• Published in: Irrigation and drainage Vol. 73; no. 3; pp. 910 - 927
• Main Authors: Eltarabily, Mohamed Galal, Elshaarawy, Mohamed Kamel, Elkiki, Mohamed, Selim, Tarek
• Format: Journal Article
• Language: English
• Published: Chichester Wiley Subscription Services, Inc 01.07.2024
• Subjects: artificial neural network; Artificial neural networks; canal d'irrigation; Canals; Cement; Computational fluid dynamics; Concrete; Cost analysis; Density; Discharge; Egypt; Feasibility studies; FLOW‐3D; Fluid dynamics; fluid mechanics; geometry; Hydrodynamics; Infiltration; Irrigation; irrigation canal; Irrigation canals; Irrigation water; lining; Linings; Low density polyethylenes; Neural networks; pertes par infiltration; Polyethylene; revêtement; réseau de neurones artificiels; Seepage; Seepage loss; seepage losses; Three dimensional flow; Three dimensional models; Water conservation; Egypt

This study numerically investigated the lining effect on the discharges and seepage losses of five reaches which belong to the El‐Sont Canal, Asyut, Egypt, using FLOW‐3D and Slide2 models, respectively. Two lining materials were considered, cement concrete (CC) and CC with low‐density polyethylene (...