Abstract
In order to apply aerodynamic and structure integrative design to engineering practice, a concurrent subspace optimization design method based on Pareto genetic algorithm (CSSODM-PGA) which is much more suitable for aerodynamic and structure multidisciplinary design optimization is brought out based on the traditional concurrent subspace optimization (CSSO) algorithm and the analysis of characteristics of aerodynamic and structure integrative design. The CSSODM-PGA method developed in this study imports the method of the design of experiments (DOE) in response surface methodology (RSM), the subspace design concept in subspace optimization, and the Pareto genetic algorithm (PGA) in system level optimization. The developed method was used on an aerodynamic and structure multidisciplinary design optimization of a wing, and a Pareto front was obtained to give the decision-maker a more useful information.
| Original language | English |
|---|---|
| Pages (from-to) | 1366-1370+1383 |
| Journal | Beijing Hangkong Hangtian Daxue Xuebao/Journal of Beijing University of Aeronautics and Astronautics |
| Volume | 35 |
| Issue number | 11 |
| State | Published - Nov 2009 |
Keywords
- Concurrent subspace optimization (CSSO)
- Multidisciplinary design optimization
- Pareto front
- Pareto genetic algorithm
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