Depth of hydraulic jump Predicting in sloping channels with abrupt drop using neuro-fuzzy approach

Hydraulic jump is a phenomenon well known to hydraulic engineers as a useful means of dissipating excess energy and prevent scour below overflow spillways, chutes and sluices. In situations where the downstream depth is larger than the sequent depth for a normal jump, a drop in the channel floor may be used to ensure a jump. This paper investigated the use of neuro-fuzzy approach (ANFIS) as data driven approach in sequence depth ratio estimation in sloping channels with abrupt drop. Statistical error criteria were used for evaluating the accuracy of the model. From the results it was found that increasing the channel slope caused an increment in model efficiency and the channel with slope of 0.0125 led to the best results. Also the obtained results showed that, ANFIS model can be used as a suitable and effective method to predict the sequence depth ratio in sloping channels with abrupt drop.

کلیدواژه ها:

Abrupt drop ، ANFIS ، Hydraulic jump ، Sequence depth ratio