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| A BESO method based on adaptive element removal ratio |
| Received:September 22, 2017 Revised:March 29, 2018 |
| View Full Text View/Add Comment Download reader |
| DOI：10.7511/jslx20170922001 |
| KeyWord:BESO element removal ratio element sensitivity homogenization degree self-adaption |
| Author | Institution |
| 匡兵 |
桂林电子科技大学 机电工程学院, 桂林 |
| 林瑞 |
桂林电子科技大学 机电工程学院, 桂林 |
| 刘夫云 |
桂林电子科技大学 机电工程学院, 桂林 |
| 周峰 |
桂林电子科技大学 机电工程学院, 桂林 |
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| Abstract: |
| In ESO,dynamic removal ratio is a strategy that can effectively improve the optimization efficiency and stability.However,the existing dynamic removal ratio strategy contains empirical parameters,and the process of determining removal ratio is quite complex.Therefore,an adaptive element removal ratio determination method which has no empirical parameters for BESO is proposed in this paper.By analyzing the effect of element removal ratio on optimization stability,the ideal trend of element removal ratio and the effect of element sensitivity homogenization information on removal ratio are obtained in the process of structural optimization.Based on these,the reasons for the introduction of empirical parameters are analyzed,and an index of element sensitivity homogenization for evaluating a single iteration step is constructed.Then the relative index of element sensitivity homogenization degree under all iteration step information is constructed.Based on the element sensitivity homogenization index of a single iteration step,a function of element removal ratio adaptive to the process of structural optimization is given in combination with the recommended range of element removal ratio.Finally,the implementation procedure of BESO method based on the adaptive element removal ratio is presented.The comparison results of classical examples show that the proposed method has better optimization efficiency and stability while having similar quality in order aspects. |
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