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Multi-disciplinary optimisation for front auto body based on multiple optimisation methods
被引:24
|作者:
Gao, Yunkai
[1
]
Sun, Fang
[1
]
机构:
[1] Tongji Univ, Sch Automot, Shanghai 201804, Peoples R China
关键词:
multi-disciplinary optimisation;
topology optimisation;
surrogate model;
TOPOLOGY OPTIMIZATION;
DESIGN;
SHAPE;
D O I:
10.1504/IJVD.2011.044720
中图分类号:
TH [机械、仪表工业];
学科分类号:
0802 ;
摘要:
In order to improve the performance of the front autobody, multiple optimisation methods are adopted in different stages. Firstly, topology optimisation is made under the combination of multiple load cases. Secondly, size optimisation is done for the original design under multiple load cases. After these two optimisations, the first optimisation stage is completed. Then, based on the first modification, crashworthiness optimisation is carried out by using Kriging surrogate model, which means the second stage optimisation. The final results derived after two stage modifications indicate that combining multiple optimisation methods and balancing each target are effective to realise multi-disciplinary optimisation.
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页码:178 / 195
页数:18
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