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This monograph analyses the intricacies behind the turbulent flow in compound open channels. Mainly, due to velocity difference in main channel and flood plains large shear layer produces, which provokes uncertainty in measuring discharge for compound channel flow conditions. In this study an effort has been made by Large eddy simulation (LES) to analyse this complected situation precisely. Further, assessment have been carried out for prediction of discharge and its resistance factor by adaptable machine learning algorithms such as artificial neural network and artificial neuro-fuzzy inference system (ANFIS) for different hydraulic conditions.…mehr

Produktbeschreibung
This monograph analyses the intricacies behind the turbulent flow in compound open channels. Mainly, due to velocity difference in main channel and flood plains large shear layer produces, which provokes uncertainty in measuring discharge for compound channel flow conditions. In this study an effort has been made by Large eddy simulation (LES) to analyse this complected situation precisely. Further, assessment have been carried out for prediction of discharge and its resistance factor by adaptable machine learning algorithms such as artificial neural network and artificial neuro-fuzzy inference system (ANFIS) for different hydraulic conditions.
Autorenporträt
Author is Research Scholar at NIT Rourkela (INDIA). His area of research focuses on Experimental and Numerical open channel hydraulics. He has completed his B-Tech (2009) and M-Tech (2012) in Civil Engineering from NIT Rourkela. for more details visit personal page: https://sites.google.com/site/mrutyunjayasahusite/home