DATA DRIVEN APPROACHES FOR UNSTEADY FLOW CONTROL OVER DYNAMICALLY STALLING WINGS
Abstract
This project is aiming at systematical investigation for the effects of freestream perturbations on dynamic stall and evaluate control strategies to mitigate their adverse effects on aerodynamic performance. An in-house immersed boundary-lattice Boltzmann method fluid-structure interaction solver will be developed and used to generate large flow field datasets of the interaction between an airfoil undergoing dynamic stall and discretized freestream perturbations. The developing transient flows and load responses over the wing and in the wake will be characterized and data-driven approaches such as dynamic mode decomposition will then be applied. Based on the simulation data, lift and moment coefficients during dynamic stall will be predicted for different angles of attacks, amplitudes and reduced frequencies. The predictive ability of the data-driven approaches will be evaluated by comparing it traditional numerical simulations and used as basis to develop strategies for flow control.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Apr 20, 2023
- Source ID
- FA23862214036
Entities
People
- Sridhar Ravi
Organizations
- Air Force Office of Scientific Research
- United States Air Force
- University of New South Wales