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

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...

Полное описание

Библиографические подробности
Главные авторы:	García-Ubaque, Cesar-Augusto, Ladino-Moreno, Edgar-Orlando, García-Vaca, María-Camila
Формат:	Online
Язык:	eng
Опубликовано:	Universidad Pedagógica y Tecnológica de Colombia 2022
Предметы:	Artificial Neural Network cold chain. Darcy-Weisbach Levenberg-Marquardt pipeline hydraulics Colebrook-White hidráulica de tuberías red neuronal artificial
Online-ссылка:	https://revistas.uptc.edu.co/index.php/ingenieria/article/view/14037

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