Output-Based Mesh Adaptation for Variable-Fidelity Multipoint Aerodynamic Optimization

2019 ◽  
Author(s):  
Guodong Chen ◽  
Krzysztof Fidkowski
Keyword(s):  
Mesh Adaptation ◽  
Aerodynamic Optimization ◽  
Variable Fidelity

Approximation and Model Management in Aerodynamic Optimization with Variable-Fidelity Models

2001 ◽  
Vol 38 (6) ◽  
pp. 1093-1101 ◽  
Author(s):  
Natalia M. Alexandrov ◽  
Robert Michael Lewis ◽  
Clyde R. Gumbert ◽  
Lawrence L. Green ◽  
Perry A. Newman
Keyword(s):  
Model Management ◽  
Aerodynamic Optimization ◽  
Variable Fidelity

scholarly journals Two-stage aerodynamic optimization method based on early termination of CFD convergence and variable-fidelity model

2021 ◽  
Vol 39 (1) ◽  
pp. 148-158
Author(s):  
Ji Miao ◽  
Chunlin Gong ◽  
Chunna Li
Keyword(s):  
Optimization Method ◽  
Aerodynamic Performance ◽  
Early Termination ◽  
Computational Time ◽  
High Fidelity ◽  
Aerodynamic Optimization ◽  
Two Stage ◽  
Optimization Stage ◽  
Variable Fidelity ◽  
Fidelity Model

Efficient aerodynamic design optimization method is of great value for improving the aerodynamic performance of little UAV's airfoil. Using engineering or semi-engineering estimation method to analyze aerodynamic forces in solving aerodynamic optimization problems costs little computational time, but the accuracy cannot be guaranteed. However, CFD method ensuring high accuracy needs much more computational cost, which is unfordable for optimization. Surrogate-based optimization can reduce the number of high-fidelity analyses to increase the optimization efficiency. However, the cost of CFD analyses is still huge for aerodynamic optimization due to multiple design variables, multi-optimal and strong nonlinearities. To solve this problem, a two-stage aerodynamic optimization method based on early termination of CFD convergence and variable-fidelity model is proposed. In the first optimization stage, the solutions by early termination CFD convergence and the convergenced CFD solutions are regarded as low-and high-fidelity data respectively for building variable-fidelity model. Then, the multi-island genetic algorithm is used in the global optimization based on the built variable-fidelity model. The modeling efficiency can be greatly improved due to many cheap low-fidelity data. In the second stage optimization, the global optimum from the first optimization stage is treated as the start of the Hooke-Jeeves algorithm to search locally based on convergenced CFD computations in order to acquire better-optimum. The proposed method is utilized in optimizing the aerodynamic performance of the airfoil of little UAV, and is compared with the EGO method based on single-fidelity Kriging surrogate model. The results show that the present two-level aerodynamic optimization method consumes less time.

Multiobjective Aerodynamic Optimization by Variable-Fidelity Models and Response Surface Surrogates

AIAA Journal ◽  
2016 ◽  
Vol 54 (2) ◽  
pp. 531-541 ◽  
Author(s):  
Leifur Leifsson ◽  
Slawomir Koziel ◽  
Yonatan A. Tesfahunegn
Keyword(s):  
Response Surface ◽  
Aerodynamic Optimization ◽  
Variable Fidelity

A STUDY OF DISCRETE ADJOINT-BASED GRADIENT METHOD IMPLEMENTATION FOR AERODYNAMIC OPTIMIZATION

2020 ◽  
Author(s):  
Gilberto Bueno Luque Filho ◽  
Marco Aurélio Leonel Matunaga ◽  
João Luiz F. Azevedo
Keyword(s):  
Gradient Method ◽  
Aerodynamic Optimization ◽  
Discrete Adjoint
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