Prediction of Scour Depth around Pile Group Using Ann
نویسندگان
چکیده
Prediction of the scour around a group of pile in the field exposed to oscillatory waves is very important for many offshore structure and coastal engineering projects. Conventional predictive formulas for the geometric properties of scour hole, however, are not able to provide sufficiently accurate results. In this paper the ANNs approach is used to predict the scour depth around pile group using dimensionless groups of parameters, namely, Reynolds number Re, Keulegan Carpenter number Kc, Shields parameter θ, and, densimetric Froude number Ns. The results show that a three-layer normal feed-forward multilayer perceptron with quick propagation (QP) learning rule can predict the scour depth successfully.
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