Numerical and Artificial Intelligence Techniques of Predicting Velocity Distribution in Compound Meandering Flows

Abstract Reliable investigation and simulation of flow characteristics are essential to resolve critical engineering problems such as channel design, energy losses and fluvial flows across river bends. This paper analyses the formulation of longitudinal velocity in experimental meandering channels of 1.37 and 1.06 sinuosity. RNG K-ɛ turbulence and Volume of Fluid (VOF) analysis are applied on a two-phase, 3DComputational Fluid Dynamics model of the sinous channels.. The numerical results are compared with their respective experimental data and validated with other laboratory and natural channels. The statical methods are made to observe that the numerical methods agree with the experimental values.