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Artificial Neural Network Based Prediction Of Time-Dependent Behavior For Lid-Driven Cavity Flows
(Turkish Soc Thermal Sciences Technology, 2015)
In this study, computational fluid dynamics (CFD) analyses of the two-dimensional, time-dependent lid-driven cavity flows, for Reynolds numbers ranging from 100 to 10000, are performed by using an in-house developed CFD ...