A methodological exploration for efficient prediction of airfoil response to gusts in wind engineering. (September 2019)

• Record Type: Journal Article
• Authors: Wu, Zhenlong; Wang, Qiang; Huang, Hao
• Is Part Of: Proceedings of the Institution of Mechanical Engineers. Volume 233:Number 6(2019)
• Page Start: 738
• Page End: 750
• Publication Date: 2019-09
• Subjects: Gust -- computational fluid dynamics -- reduced-order modeling -- aerodynamics -- aeroelastics -- convolution; Mechanical engineering -- Periodicals; Power (Mechanics) -- Periodicals; Production engineering -- Periodicals; 621
• DOI: 10.1177/0957650918822949
• Languages: English
• ISSNs: 0957-6509

Abstract

This paper presents several approaches for efficient estimation of airfoil response to gust via computational fluid dynamics and reduced-order modeling. A computational fluid dynamics code enabling simulation of aerodynamics under an arbitrary-shaped discrete gust is adopted. Convolution models using baseline sharp-edge gust response either obtained by the closed-form Küssner functions or computational fluid dynamics methods are established. A parametric approximation function model for gust response is identified via the least square optimization of the computational fluid dynamics-obtained sharp-edge responses. Finally, an example taking advantage of the aerodynamic response by the above methods to simulate the aeroelastics of an airfoil performing a plunging-twisting coupled motion under various gusts is presented. The present practice indicates that the reduced-order modelings are not only more efficient compared to direct computational fluid dynamics simulations, but also have a satisfactory accuracy in gust response predictions.