IMPROVEMENT OF EVOLUTIONARY STRUCTURAL OPTIMIZATION METHOD FOR 2-D MODEL
which the singular element appears in the optimum process and the result may be a partial optimum solution are two disadvantages when using the ESO method to optimize 2- D model. In this paper,two algorithms are proposed for solving these disadvantages. One is filter and rejection algorithm based on...
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Editorial Office of Journal of Mechanical Strength
2016-01-01
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Series: | Jixie qiangdu |
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Online Access: | http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2016.05.015 |
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author | CHEN XiaoMing LAI XiDe TANG Jian ZHU Li ZHAO Xi |
author_facet | CHEN XiaoMing LAI XiDe TANG Jian ZHU Li ZHAO Xi |
author_sort | CHEN XiaoMing |
collection | DOAJ |
description | which the singular element appears in the optimum process and the result may be a partial optimum solution are two disadvantages when using the ESO method to optimize 2- D model. In this paper,two algorithms are proposed for solving these disadvantages. One is filter and rejection algorithm based on the trait of singular element. Using this algorithm,only one parameter is needed to control filtering and deleting,and the parameter is determined by the number of elements linked around singular element. The other is interval approximation algorithm. Minimum initial rejection rate R<sub>0min</sub>which fulfill removed conditions was ascertained by using this algorithm and it was used as starting value,thus other initial rejection rate R<sub>0</sub> were obtained by setting certain increment. Two algorithms mentioned above were implanted in the existing ESO method,then optimizing respectively with different initial rejection rate which were obtained before and the available structures from the results was filtered out in terms of performance parameters. The results of optimization for numerical 2-D structures indicate that the improved ESO method has better suitability and stability than the existing one,and it avoids shortcoming that the result may be a partial optimum solution when using the existing ESO method. |
format | Article |
id | doaj-art-8e55f8811ea942d0bb25fc118cf15e4c |
institution | Kabale University |
issn | 1001-9669 |
language | zho |
publishDate | 2016-01-01 |
publisher | Editorial Office of Journal of Mechanical Strength |
record_format | Article |
series | Jixie qiangdu |
spelling | doaj-art-8e55f8811ea942d0bb25fc118cf15e4c2025-01-15T02:35:48ZzhoEditorial Office of Journal of Mechanical StrengthJixie qiangdu1001-96692016-01-013898498930596541IMPROVEMENT OF EVOLUTIONARY STRUCTURAL OPTIMIZATION METHOD FOR 2-D MODELCHEN XiaoMingLAI XiDeTANG JianZHU LiZHAO Xiwhich the singular element appears in the optimum process and the result may be a partial optimum solution are two disadvantages when using the ESO method to optimize 2- D model. In this paper,two algorithms are proposed for solving these disadvantages. One is filter and rejection algorithm based on the trait of singular element. Using this algorithm,only one parameter is needed to control filtering and deleting,and the parameter is determined by the number of elements linked around singular element. The other is interval approximation algorithm. Minimum initial rejection rate R<sub>0min</sub>which fulfill removed conditions was ascertained by using this algorithm and it was used as starting value,thus other initial rejection rate R<sub>0</sub> were obtained by setting certain increment. Two algorithms mentioned above were implanted in the existing ESO method,then optimizing respectively with different initial rejection rate which were obtained before and the available structures from the results was filtered out in terms of performance parameters. The results of optimization for numerical 2-D structures indicate that the improved ESO method has better suitability and stability than the existing one,and it avoids shortcoming that the result may be a partial optimum solution when using the existing ESO method.http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2016.05.015Topology optimizationEvolutionary structural optimizationSingular elementFinite element |
spellingShingle | CHEN XiaoMing LAI XiDe TANG Jian ZHU Li ZHAO Xi IMPROVEMENT OF EVOLUTIONARY STRUCTURAL OPTIMIZATION METHOD FOR 2-D MODEL Jixie qiangdu Topology optimization Evolutionary structural optimization Singular element Finite element |
title | IMPROVEMENT OF EVOLUTIONARY STRUCTURAL OPTIMIZATION METHOD FOR 2-D MODEL |
title_full | IMPROVEMENT OF EVOLUTIONARY STRUCTURAL OPTIMIZATION METHOD FOR 2-D MODEL |
title_fullStr | IMPROVEMENT OF EVOLUTIONARY STRUCTURAL OPTIMIZATION METHOD FOR 2-D MODEL |
title_full_unstemmed | IMPROVEMENT OF EVOLUTIONARY STRUCTURAL OPTIMIZATION METHOD FOR 2-D MODEL |
title_short | IMPROVEMENT OF EVOLUTIONARY STRUCTURAL OPTIMIZATION METHOD FOR 2-D MODEL |
title_sort | improvement of evolutionary structural optimization method for 2 d model |
topic | Topology optimization Evolutionary structural optimization Singular element Finite element |
url | http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2016.05.015 |
work_keys_str_mv | AT chenxiaoming improvementofevolutionarystructuraloptimizationmethodfor2dmodel AT laixide improvementofevolutionarystructuraloptimizationmethodfor2dmodel AT tangjian improvementofevolutionarystructuraloptimizationmethodfor2dmodel AT zhuli improvementofevolutionarystructuraloptimizationmethodfor2dmodel AT zhaoxi improvementofevolutionarystructuraloptimizationmethodfor2dmodel |