Determination of the Inside Diameter of Pressure Pipes for Drinking Water Systems Using Artificial Neural Networks

The fifth-degree polynomial equation determines the diameter in pressurized drinking water systems. The input variables are Q: flow (m3/s), H: pressure drop (m); L: pipe length (m); ε: roughness (m), ϑ: kinematic viscosity (m2/s), and Ʃk: sum of minor loss coefficients (dimensionless). After applyin...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής

Κύριοι συγγραφείς:	García-Ubaque, Cesar-Augusto, Ladino-Moreno, Edgar-Orlando, García-Vaca, María-Camila
Μορφή:	Online
Γλώσσα:	eng
Έκδοση:	Universidad Pedagógica y Tecnológica de Colombia 2022
Θέματα:	Artificial Neural Network cold chain. Darcy-Weisbach Levenberg-Marquardt pipeline hydraulics Colebrook-White hidráulica de tuberías red neuronal artificial
Διαθέσιμο Online:	https://revistas.uptc.edu.co/index.php/ingenieria/article/view/14037