Abstract
Data mining for extraction of fluid dynamic knowledge from large-scale numerical simulation results is crucial to analyzing complex unsteady three-dimensional flow phenomena in engineering application. It is indicated that identification of vortex cores and wavelet analysis of unsteady flow field are very useful to the data mining. Applications of the present data mining methods to unsteady three-dimensional vortical flow simulations in turbomachinery are presented.
