Aerodynamic design optimization of an airfoil for the Mars exploration airplane has been demonstrated by using an evolutionary algorithm. The adaptive range genetic algorithm is used for efficient and robust design optimization. Two-dimensional Navier-Stokes solver is used for accurate aerodynamic performance evaluation. The present computation is parallelized on the SX-6 vector computers in In...

This paper reviews the design optimization of wind turbine blades through investigating the design methods and analyzing the performance of the blades. The current research work in this area include wind turbine blade geometric design and optimization, aerodynamics analysis, wind turbine blade structural design and dynamics analysis. Blade geometric design addresses the design parameters, inclu...

Aerodynamic shape design optimization problems, such as inverse and constrained airfoil design and axisymmetric nozzle design, are investigated by applying the simultaneous perturbation stochastic approximation (SPSA) method to objective functions that are estimated during each design iteration using a finite volume computational fluid dynamics technique for solving the compressible Navier–Stok...

A practical three-dimensional shape optimization for aerodynamic design of a transonic wing has been performed using Evolutionary Algorithms (EAs). Because EAs coupled with aerodynamic function evaluations require enormous computational time, Numerical Wind Tunnel (NWT) located at National Aerospace Laboratory in Japan has been utilized based on the simple master-slave concept. Parallel process...

Because detailed aerodynamic shape optimizations still suffer from high computational costs, efficient optimization strategies are required. Regarding the deterministic optimization methods, the adjoint approach is seen as a promising alternative to the classical finite difference approach [1, 2]. With the adjoint approach the sensitivities needed for the aerodynamic shape optimization can be e...

The efficient direct optimization method is developed for aerodynamic shapes design at subsonic and supersonic flow regimes. The method combines Newton based algorithm with CFD modeling and is capable of handling large number of design variables. Aerodynamic drag is considered as the objective function minimized under volume and overall dimensions constraints. The efficiency of the method is de...

In this study, efficient global optimization (EGO) with a multi-fidelity hybrid surrogate model for multi-objective optimization is proposed to solve multi-objective real-world design problems. In the proposed approach, a design exploration is carried out assisted by surrogate models, which are constructed by adding a local deviation estimated by the kriging method and a global model approximat...

An efficient formulation for the robust shape optimization of aerodynamic objects is introduced in this paper. The formulation has three essential features. First, an Euler solver based on a second-order Godunov scheme is used for the flow calculations. Second, a genetic algorithm with binary number encoding is implemented for the optimization procedure. The third ingredient of the procedure is...

Aerodynamic shape optimization involves designing the most efficient shapes of bodies that move through fluids. An optimization algorithm perturbs the shape of an airfoil until it finds the shape which best exhibits a given design objective. For an inverse design technique, this objective is a prescribed aerodynamic distribution, usually the surface pressure distribution. Liebeck pressure distr...

The use of multidisciplinary optimization techniques in aerospace vehicle design often is limited because of the signi cant computational expense incurred in the analysis of the vehicle and its many systems In response to this di culty a variable complexity modeling approach involving the use of re ned and computationally expensive models together with simple and computationally inexpensive mod...