Efficient nonlinear reduced-order modeling for synthetic-jet-based control at high angle of attack

Affiliation of Author(s):航空学院

Journal:AEROSPACE SCIENCE AND TECHNOLOGY

Key Words:Synthetic jet control Nonlinear reduced-order model Kriging surrogate Parametric analysis Cavity shape

Abstract:A low dimensional model for synthetic jet control has been developed which uses Kriging surrogate to predict the unsteady aerodynamic loads and the nonlinearities at high angle of attack. First, parametric analyses are performed by Computational Fluid Dynamics (CFD) to study the effect on the improvement of aerodynamic characteristics for different governing parameters, especially cavity shape. It is found that the proposed cavity shape could enhance the aerodynamic performance of active flow control. Further, for the optimized cavity shape, the nonlinear Reduced-Order Model (ROM) of synthetic jet control is constructed via Kriging surrogate, and the accuracy and efficiency of the proposed ROM are validated by comparing with the direct CFD solutions. The simulation results show that the established ROM can mimic the nonlinear and unsteady aerodynamic response of synthetic jet control accurately without exhaustive computational resources. (C) 2016 Elsevier Masson SAS. All rights reserved.

ISSN No.:1270-9638

Translation or Not:no

Date of Publication:2017-03-01

Co-author:Li, Wencheng,zyh

Correspondence Author:Jin Dongping

Date of Publication:2017-03-01