Capability of Intelligent Techniques for Critical Submergence of Horizontal Intakes Simulation in Open Channel Flows

Insufficient water height above a pipe intake (submergence) may lead to strong vortices formation and air entrainment. Numerous models for predicting critical submergence have been developed over time. Nevertheless, due to the complexity of vortex formation near the intake, the predictive accuracy of these models is often questionable. In current study Artificial Intelligence Techniques were applied to predicting of critical submergence of horizontal intakes in open channel flows. The SVM and ANFIS approaches were compared with the classical models. The obtained results revealed that Artificial Intelligence Techniques approach is so accurate in predicting critical submergence

Keywords:

ANFIS , SVM , critical submergence , intakes