The present study is about under-reamed pile subjected
to uplift forces. They are known to be very effective
especially against uplift forces. The objective is to develop a
simple design formula based on an optimized artificial neural
network (ANN) predictive approach model. This formula can
calculate the ultimate uplift capacity of under-reamed piles
(Pul) embedded in dry cohesionless soil with excellent accuracy.
The new generated ANN model was developed by taking
into account the key factors such as under-reamed base
diameter, angle of enlarged base to the vertical axis, shaft
diameter, and embedment ratio. The proposed approach
shows excellent agreement with a mean absolute error
(MAE) less than 0.262, which is better than previous theories.