Modeling of the friction factor in pressure pipes using Bayesian Learning Neural Networks

The model proposed by Colebrook-White for calculating the coefficient of friction has been universally accepted by establishing an implicit transcendental function. This equation determines the friction coefficient for fully developed flows, that is, for turbulent flows with a Reynolds Number hig...

Descripción completa

Detalles Bibliográficos

Autores principales:	Ladino Moreno, Edgar Orlando, García Ubaque, Cesar Augusto, García-Vaca, María Camila
Formato:	Online
Lenguaje:	spa
Publicado:	Universidad Pedagógica y Tecnológica de Colombia 2022
Materias:	Coeficiente fricción, Colebrook-White, Regularización Bayesiana, Red Neuronal Artificial Artificial Neural Network, Bayesian Regularization, Coefficient of friction, Colebrook & White
Acceso en línea:	https://revistas.uptc.edu.co/index.php/ciencia_en_desarrollo/article/view/13241