Flow Regime Prediction in Stepped Channels Using Neural Computing Technique
نویسندگان
چکیده
A chute is characterized by a steep bed slope associated with torrential flow. This chute flow may be either smooth or stepped. The flow conditions in stepped channels are classified as nappe flow, transition flow and skimming flow. In this paper, hydraulic characteristics of flow regimes on the stepped channels are presented systematically under a wide range of discharge, channel slope and step height. The artificial neural network (ANN) was used for predicting flow regimes in stepped channels using discharge, channel slope and step height parameters. The test results indicated that the ANN could be successfully used in flow regime prediction in stepped channels.
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