Low-fidelity 2D isogeometric aeroelastic analysis and optimization method with application to a morphing airfoil

Abstract

Low-fidelity isogeometric aeroelastic analysis has not received much attention since the introduction of the isogeometric analysis (IGA) concept, while the combination of IGA and the boundary element method in the form of the potential flow theory shows great potential. This paper presents a two-dimensional low-fidelity aeroelastic analysis and optimization framework consisting of a closely coupled isogeometric potential flow model and isogeometric curved Timoshenko beam model combined with a boundary layer model. Application of the framework to the optimization of the landing performance for an active morphing airfoil demonstrates the potential of the isogeometric aeroelastic framework.

Discontinuous isogeometric boundary element (IGABEM) formulations in 3D automotive acoustics

“…Then, a coefficient β is brought in to move the first and the last collocation points of Eq. (38) inside the patch as…”

“…The IGABEM has developed rapidly in recent years [23][24][25][26][27][28] and has been applied successfully to various fields, e.g. potential problems [23,25,[29][30][31], elasticity [26,[32][33][34], electromagnetics [35,36] and shape optimisation [37][38][39][40]. Particularly, in the area of acoustic applications, Simpson et al [41] employed IGABEM based on T-splines to solve both interior and exterior acoustic problems.…”

Wing profile evolution driven by computational fluid dynamics

“…Refs. Advantages Disadvantages Evolution from an initial guess, using optimization methods [1,2,3,4,5,6,7,8,12,16,17] (1) Successful to achieve a specific effect.…”

“…Ref. [6] presents an optimization of the landing for a morphing airfoil, conducted via iso-geometric analysis of potential flow. The iso-geometric analysis is a low -fidelity 2D one, that addresses both the fluid and the stress / strain of the profile (seen as Timoshenko beam).…”

Multi-condition multi-objective optimization using deep reinforcement learning

“…The airfoil shape optimization is a representative shape optimization problem involving fluid dynamics, where nonlinearity and high-dimensionality are combined. Despite these difficulties, it has been actively studied due to its direct applicability to numerous engineering fields [34][35][36]. Finally, further analysis is conducted in each problem to identify the exclusive capability of the proposed method.…”