Bi-directional evolutionary structural optimization method based on self-adaption and random sampling sensitivity analysis
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Bi-directional evolutionary structural optimization method based on self-adaption and random sampling sensitivity analysis
Vol. 28, Issue 9, (2013)
作者机构:
南京航空航天大学能源与动力学院,南京,210016
作者简介:
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Published:2013
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SONG Jian, WEN Wei-dong, ZHANG Hong-jian. Bi-directional evolutionary structural optimization method based on self-adaption and random sampling sensitivity analysis[J]. 2013, 28(9).
DOI:
SONG Jian, WEN Wei-dong, ZHANG Hong-jian. Bi-directional evolutionary structural optimization method based on self-adaption and random sampling sensitivity analysis[J]. 2013, 28(9).DOI:
Bi-directional evolutionary structural optimization method based on self-adaption and random sampling sensitivity analysis
In order to solve the issue of periodic structural topology optimization with design-dependence
the self-adaption strategy and random sampling method were developed
and a topology optimization approach called bi-directional evolutionary structural optimization(BESO) using self-adaption and random sampling sensitivity analysis was proposed based on traditional BESO method.It is also suitable for the non-periodic structures.Based on the approach
the Michell truss structure topological optimization design was carried out
and the optimum structure was obtained in consistence with the theoretical solution.The mass was reduced by 71.5%
compared with the initial structure
showing the proposed method is reasonable;moreover
the multi-web fan disk was designed by the above method
and a new three-web fan disk was obtained.The mass declined by 17.21% in relation to the reference fan disk.The results further illustrates that the method has the ability to cope with the complex issue of periodic structural topology optimization.Additionally
the prone oscillation problems of classical BESO method has been overcome by the algorithm.