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...

書目詳細資料
Main Authors:	García-Ubaque, Cesar-Augusto, Ladino-Moreno, Edgar-Orlando, García-Vaca, María-Camila
格式:	Online
語言:	eng
出版:	Universidad Pedagógica y Tecnológica de Colombia 2022
主題:	Artificial Neural Network cold chain. Darcy-Weisbach Levenberg-Marquardt pipeline hydraulics Colebrook-White hidráulica de tuberías red neuronal artificial
在線閱讀:	https://revistas.uptc.edu.co/index.php/ingenieria/article/view/14037

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