In this work, machine learning techniques are exploited to train a new model based on Pope's tensorial bases, where the common definition of the turbulent viscosity is extended to define the Reynolds stress tensor as an expansion of strain-rate and rotation tensors. Specifically, a Sparse Bayesian approach has been implemented to provide new...
-
2024 (v1)PublicationUploaded on: October 23, 2024
-
2024 (v1)PublicationOPTIMIZATION OF LOW-PRESSURE TURBINE BLADE BY MEANS OF FINE INSPECTION OF LOSS PRODUCTION MECHANISMS
In the present work, Proper Orthogonal Decomposition (POD) has been applied to Large Eddy Simulations (LES) of two high-loaded low-pressure turbine cascade operating under unsteady inflow for the detailed investigation of the entropy production in the different part of the blade passage. To this end, the Turbulent Kinetic Energy (TKE)...
Uploaded on: October 23, 2024