Comparison of Three Geometric Parameterization Methods and Their Effect on Aerodynamic Optimization (in English)

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Авторы:

Bernstein A., Chernova S., Burnaev E., Feng Zhu, Ning Qin

Издание:

Proc. of Int. Conf. on Evolutionary and Deterministic Methods for Design, Optimization and Control with Applications to Industrial and Societal Problems (Eurogen 2011). Capua, Italy, September 14 – 16, 2011.

Абстракт:

The choice of shape parameterisation enormously impact on the design space and optimal solution in the aerodynamic optimisation. Three parameterisation methods, PARSEC, the Class/Shape Function Transformation (CST) and MACROS Dimension Reduction (DR), which is a novel parameterisation method, are studied in this paper. Comparison studies of these methods are performed in terms of accuracy of inverse fitting and effect on constructing design space. The results show that MACROS DR has excellent capability of dimension reduction and significantly high accuracy of inverse fitting. The CST and PARSEC methods can provide higher flexibility than MACROS DR comparing their design space.

Ключевые слова: Dimension reduction, Design Space Exploration

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