Robust optimization of 2D airfoils driven by full Navier–Stokes computations

Peigin, S. V.; Epstein, Boris

doi:10.1016/j.compfluid.2003.11.001

Cited by 39 publications

(17 citation statements)

References 15 publications

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“…However, only three parameters are required to describe their shape. Nowadays, the most widely used airfoil shape parameterization methods are the Non-Uniform Rational B-Spline (NURBS) [27], and the Bézier curves [49] (a special case of NURBS). These methods use a set of control points to define the airfoil shape and are general enough so that (nearly) any airfoil shape can be generated.…”

Section: Flow Solutionmentioning

confidence: 99%

Variable-Fidelity Aerodynamic Shape Optimization

Leifsson

Koziel

2011

Computational Optimization, Methods and Algorithms

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Abstract. Aerodynamic shape optimization (ASO) plays an important role in the design of aircraft, turbomachinery and other fluid machinery. Simulation-driven ASO involves the coupling of computational fluid dynamics (CFD) solvers with numerical optimization methods. Although being relatively mature and widely used, ASO is still being improved and numerous challenges remain. This chapter provides an overview of simulation-driven ASO methods, with an emphasis on surrogate-based optimization (SBO) techniques. In SBO, a computationally cheap surrogate model is used in lieu of an accurate high-fidelity CFD simulation in the optimization process. Here, a particular focus is given to SBO exploiting surrogate models constructed from corrected physics-based low-fidelity models, often referred to as variable-or multi-fidelity optimization.

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Section: Flow Solutionmentioning

confidence: 99%

Variable-Fidelity Aerodynamic Shape Optimization

Leifsson

Koziel

2011

Computational Optimization, Methods and Algorithms

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“…The genetic algorithms (GAs) have proven their strength against local extrema and numerical noise in aerodynamic optimization and their validity in problems with constraints [1][2][3][4][5][6].…”

Section: Introductionmentioning

confidence: 99%

An improved meshing method for shape optimization of aerodynamic profiles using genetic algorithms

Lopez

Angulo

Macareno

2008

Numerical Methods in Fluids

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SUMMARYOne of the basic problems in fluid dynamics shape optimization is mesh generation. When analysis is performed using the finite element method, meshes of sufficient quality need to be constructed automatically. This work presents a structured meshing procedure that creates subdomains for generating good quality structured meshes in critical flow regions around aerodynamic profiles. Techniques of this nature enable other kinds of problems and geometries to be tackled. To demonstrate its capacity, it was applied to a straightforward shape optimization problem in fluid dynamics via genetic algorithms (GAs), including a preliminary efficiency study for different GA parameter combinations.

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“…As for the optimization tool, it was decided to make use of a MOGA. Genetic algorithms were successfully applied for some time now to shape optimization in aeronautics [32][33][34][35]. In spite of their cost, GAs have proved their usefulness with respect to gradient-based methods, because of their high flexibility [stemming from the fact that they only require values of the objective function(s) to efficiently explore the parameter space in search of an optimum] and also because of their ability to find global optima of multimodal problems.…”

Section: B Pareto-based Genetic Algorithmmentioning

confidence: 99%

Airfoil Shape Optimization for Transonic Flows Bethe-Zel'dovich-Thompson Fluids

2007

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is an open access repository that collects the work of Arts et Métiers ParisTech researchers and makes it freely available over the web where possible. High-performance airfoils for transonic flows of Bethe-Zel'dovich-Thompson fluids are constructed using a robust and efficient Euler flow solver coupled with a multi-objective genetic algorithm. Bethe-Zel'dovichThompson fluids are characterized by negative values of the fundamental derivative of gasdynamics for a range of temperatures and pressures in the vapor phase, which leads to nonclassical gasdynamic behaviors such as the disintegration of compression shocks. Using Bethe-Zel'dovich-Thompson gases as working fluids may result in low drag exerted on airfoils operating at high transonic speeds, due to a substantial increase in the airfoil critical Mach number. This advantage can be further improved by a proper design of the airfoil shape, also leading to the enlargement of the airfoil operation range within which Bethe-Zel'dovich-Thompson effects are significant. Such a result is of particular interest in view of the exploitation of Bethe-Zel'dovich-Thompson fluids for the development of high-efficiency turbomachinery.

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Robust optimization of 2D airfoils driven by full Navier–Stokes computations

Cited by 39 publications

References 15 publications

Variable-Fidelity Aerodynamic Shape Optimization

Variable-Fidelity Aerodynamic Shape Optimization

An improved meshing method for shape optimization of aerodynamic profiles using genetic algorithms

Airfoil Shape Optimization for Transonic Flows Bethe-Zel'dovich-Thompson Fluids

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