Modeling local scour on loose bed downstream of grade-control structures using artificial neural network

Abstract

The study describes the application of the Artificial Neural Networks (ANNs) to predict local scour downstream of a grade-control structure. Four important dimensionless parameters, including: the ratio of the maximum scour depth to the height of structure (s/z), the ratio of distance of maximum scour from structure to z (XS/z), the ratio of distance of maximum deposit mound to z (SD/z) and the ratio of maximum height of dune to z (hd/z) have been modeled using ANNs. The scour measurements available in the literature were used to establish and verify the ANNs models. The final models for each scour variable parameters have been compared favorably with the recent experimental formulations published in the literature, describing the downstream scour of grade-control structures. © 2008 Asian Network for Scientific Information.