Abstract In the present research, three different data-driven models (DDMs) are developed to predict discharge coefficient of streamlined weirs (Cdstw). Some machine-learning methods (MLMs) and intelligent optimization (IOMs) such as Random Forest (RF), Adaptive Neuro-Fuzzy Inference System (ANFIS), gene expression program (GEP) employed for prediction Cdstw. To identify input variables Cdstw b...

Simple hydraulic structures, such as weirs, allow measuring flow discharge by using the upstream depth and a stage–discharge relationship. In this relationship, coefficient is introduced to correct all effects neglected in derivation (viscosity, surface tension, velocity head approach channel, turbulence, non-uniform profile, streamline curvature due weir contraction). paper, dimensional analys...

In this study, the effect of channel-bed slope and non-prismatic converging channel on discharge coefficient labyrinth weirs is numerically investigated utilizing FLOW-3D model. Numerical simulation results show that modifying weir through both methods improves coefficient. Among selected bed slopes wall, β=4% angle θ=10° yielded highest For a ratio HT/P=0.1, (HT: flow height, P: height) rate f...