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...

Full description

Saved in:
Bibliographic Details
Main Authors: CHEN XiaoMing, LAI XiDe, TANG Jian, ZHU Li, ZHAO Xi
Format: Article
Language:zho
Published: Editorial Office of Journal of Mechanical Strength 2016-01-01
Series:Jixie qiangdu
Subjects:
Online Access:http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2016.05.015
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1841534986689183744
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