基于分布式计算的复合材料机翼优化设计

详细信息

Composite wing optimization design based on distributed computing

1.
School of Aeronautic Science and Technology, Beijing University of Aeronautics and Astronautics, Beijing 100083, China;
2.
Jiangnan Institute of Computing Technology, Wuxi 214083, China

摘要

摘要: 将遗传算法与高精度的通用有限元分析软件相结合, 并将其应用于复合材料机翼满足气动弹性要求的优化设计中。为了提高采用遗传算法的复合材料机翼优化设计的效率, 探讨了将分布式计算与遗传算法进行集成, 形成了基于分布式计算和遗传算法的复合材料机翼优化设计方法, 并应用该方法解决某大展弦比复合材料机翼副翼和舵面操纵反效问题。计算结果表明, 该方法可用于解决工程上复杂结构优化问题。
- 多目标优化 /
- 复合材料 /
- 分布式计算 /
- 遗传算法
Abstract: The high accuracy commercial FEA (finite element analysis) software was integrated with GA (genetic algorithm) to solve the composite wing optimization design for aeroelastic request. An optimization algorithm for composite wings was proposed that integrates the distributed computing with GA to enhance the efficiency. Taking the aileron and control surface reversal problem of a high-aspect-ratio composite wing as an example, the result shows that the algorithm can solve the complicated structure optimization problem in engineering.
- multi-objective optimization /
- composite material /
- distributed computing /
- genetic algorithm