Abstract
For aerodynamic shape optimization, the approximation management framework (AMF) method is used to organize and manage the variable-fidelity models. The method can take full advantage of the low-fidelity, cheaper models to concentrate the main workload on the low-fidelity models in optimization iterative procedure. Furthermore, it can take high-fidelity, more expensive models to monitor the procedure to make the method globally convergent to a solution of high-fidelity problem. Finally, zero order variable-fidelity aerodynamic optimization management framework and search algorithm are demonstrated on an airfoil optimization of UAV with a flying wing. Compared to the original shape, the aerodynamic performance of the optimal shape is improved. The results show the method has good feasibility and applicability.
Original language | English |
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Pages (from-to) | 1089-1095 |
Number of pages | 7 |
Journal | Applied Mathematics and Mechanics (English Edition) |
Volume | 27 |
Issue number | 8 |
DOIs | |
State | Published - Aug 2006 |
Keywords
- Aerodynamic optimization
- Approximation management framework
- Variable-fidelity