Prediction of Relative Length of Hydraulic Jump Using Machine Learning Techniques in Rough Sloping Surfaces

Accurate prediction of the relative length of a hydraulic jump (Lj/d1) is essential for the safe and economical design of energy dissipation structures in open channels. In rough sloping channels, this prediction becomes challenging due to strong nonlinear interactions among inflow Froude number (Fr...

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Bibliografiske detaljer

Principais autores:	P. Pathak, S. K. Gupta
Format:	Artigo
Sprog:	Inglês
Udgivet:	Isfahan University of Technology 2026-07-01
Serier:	Journal of Applied Fluid Mechanics
Fag:	open channel flow, froude number, energy dissipation, catboost, gradient boosting, shapley additive explanations interpretability
Online adgang:	https://www.jafmonline.net/article_2975_2ef3e50fd7c1091dda165f25be7f64fd.pdf
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