| 一种基于两级集成系统合成法的多学科稳健优化方法 |
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| 引用本文： | 陶友瑞,韩旭,姜潮.一种基于两级集成系统合成法的多学科稳健优化方法[J].计算力学学报,2010,27(5):902-905. |
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| 作者姓名： | 陶友瑞 韩旭 姜潮 |
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| 作者单位： | 1. 湖南大学,汽车车身先进设计制造国家重点实验室,长沙,410082;湖南工程学院,机械工程系,湘潭,411104
2. 湖南大学,汽车车身先进设计制造国家重点实验室,长沙,410082 |
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| 基金项目： | 国家自然科学基金(10802028);湖南大学汽车车身先进设计制造国家重点实验室自主课题(60870003);教育部长江学者与创新团队发展计划(531105050037);湖南工程学院2009年科研启动基金;湖南省教育厅科研项目(09C254)资助项目. |
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| 摘 要： | 针对多学科设计优化中约束存在不确定性的问题,提出了一种稳健优化方法。在该方法中采用区间模型描述不确定性设计变量,约束变化区间的最大值采用遗传算法求得,然后通过选定的满意度水平确定相应的约束值。多学科优化过程依靠两级集成系统合成法实现。通过算例验证了该方法的有效性,对处理多学科不确定性优化设计问题有一定的指导意义。
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| 关 键 词： | 多学科设计优化 稳健设计 两级集成系统合成法 |
| 收稿时间： | 2008/10/23 0:00:00 |
A multi-disciplinary robust optimization method based on bi-level integrated system synthetic method |
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| TAO You-rui,HAN Xu and JIANG Chao.A multi-disciplinary robust optimization method based on bi-level integrated system synthetic method[J].Chinese Journal of Computational Mechanics,2010,27(5):902-905. |
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| Authors: | TAO You-rui HAN Xu and JIANG Chao |
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| Institution: | State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body,Changsha University,Hunan 410082,China;Department of Mechanical Engineering , Hunan Institute of Engineering, Xiangtan 411104,China;State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body,Changsha University,Hunan 410082,China;State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body,Changsha University,Hunan 410082,China |
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| Abstract: | A multi-disciplinary robust design optimization method is suggested to solve the optimization problem of multi-disciplinary design with uncertainty in con-straints. Uncertain variables are assumed as interval model and genetic algorithm is employed to solve the maximum value of constraint interval. The value of con-straints can be obtained after possibility degree level is predetermined. Bi-level integrated system synthetic method is used as multi-disciplinary optimization solver. Numerical example is investigated to demonstrate the efficiency of the method. The method can offer the necessary theoretical basis for multi-disciplinary uncertain design optimization. |
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| Keywords: | multi-disciplinary design optimization robust design bi-level integrated system synthetic method |
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