Three-Dimensional CST Parameterization Method Applied in Aircraft Aeroelastic Analysis

Abstract

Class/shape transformation (CST) method has advantages of adjustable design variables and powerful parametric geometric shape design ability and has been widely used in aerodynamic design and optimization processes. Three-dimensional CST is an extension for complex aircraft and can generate diverse three-dimensional aircraft and the corresponding mesh automatically and quickly. This paper proposes a parametric structural modeling method based on gridding feature extraction from the aerodynamic mesh generated by the three-dimensional CST method. This novel method can create parametric structural model for fuselage and wing and keep the coordination between the aerodynamic mesh and the structural mesh. Based on the generated aerodynamic model and structural model, an automatic process for aeroelastic modeling and solving is presented with the panel method for aerodynamic solver and NASTRAN for structural solver. A reusable launch vehicle (RLV) is used to illustrate the process for aeroelastic modeling and solving. The result shows that this method can generate aeroelastic model for diverse complex three-dimensional aircraft automatically and reduce the difficulty of aeroelastic analysis dramatically. It provides an effective approach to make use of the aeroelastic analysis at the conceptual design phase for modern aircraft.

Simulation Analysis and Experimental Study on Airfoil Optimization of Low-Velocity Turbine

“…To construct the surrogate model, the sample space is sampled, and, in this paper, Latin hypercube sampling [19] is chosen, which can obtain more comprehensive spatial information with fewer points. The addition is performed according to the LCB addition criterion, using a 4th CST parameterization [20] to optimize 10 design variables, a maximum number of iterations of 100, and a maximum number of sub-optimization iterations of 200. The CST method is used to represent the geometric coordinates of the airfoil, and the upper surface equations are:…”

Application of Adjoint Aerodynamics Optimization for a High-Speed Vehicle Moving in a Tube

“…The objective of this work is to decrease the operational cost of the entire system by reducing the required power (i.e., reducing the aerodynamic drag and eliminating any choking phenomena). Aerodynamic optimization was carried out using adjoint-based optimization with external shape parameterization using the multi-variable polynomial method [17].…”

Airfoil parameterization method and its application in mesh generation

“…Using a Class Function and a Shape Function to represent the geometric Shape of the Class shape-transformation (CST), and through the least square fitting calculation of a large number of airfoil [7], The BernStein polynomial order representing the shape function is obtained. In the CST method, the class function is used to define the types of geometric shapes, thus the shape function is used to define all geometric shapes of the same type.…”