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...

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Bibliographic Details

Main Authors:	García-Ubaque, Cesar-Augusto, Ladino-Moreno, Edgar-Orlando, García-Vaca, María-Camila
Format:	Online
Language:	eng
Published:	Universidad Pedagógica y Tecnológica de Colombia 2022
Subjects:	Artificial Neural Network cold chain. Darcy-Weisbach Levenberg-Marquardt pipeline hydraulics Colebrook-White hidráulica de tuberías red neuronal artificial
Online Access:	https://revistas.uptc.edu.co/index.php/ingenieria/article/view/14037