INTELLIGENT PREDICTION METHOD ON STABILITY OF THIN-WALL STEEL COMPONENT WITH NON CONTINUOUS CROSS SECTION

The factors,which influence the stability of thin-wall perforated steel components are complex. Take the columns as an example,in the existing research,much attention has been paid to the continuous section,but little paper on noncontinuous one. According to the characteristics of the non continuous...

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Main Authors: SONG YiMing, LV ZhiJun, CHEN Dong, WU YongMei
Format: Article
Language:zho
Published: Editorial Office of Journal of Mechanical Strength 2018-01-01
Series:Jixie qiangdu
Subjects:
Online Access:http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2018.03.024
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author SONG YiMing
LV ZhiJun
CHEN Dong
WU YongMei
author_facet SONG YiMing
LV ZhiJun
CHEN Dong
WU YongMei
author_sort SONG YiMing
collection DOAJ
description The factors,which influence the stability of thin-wall perforated steel components are complex. Take the columns as an example,in the existing research,much attention has been paid to the continuous section,but little paper on noncontinuous one. According to the characteristics of the non continuous cross section,based on performance testing and finite element analysis of columns,with the method of BP neural network intelligent stability prediction,the stability prediction model of the columns is established. The predict results are compared with the test data,and the error is less than 2%,which is more accurate than the finite element analysis results. It is very promising that the intelligent prediction method has applied in the structure engineering.
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spelling doaj.art-def0952d9e88446f86a39d2d8147eea42025-01-15T02:32:16ZzhoEditorial Office of Journal of Mechanical StrengthJixie qiangdu1001-96692018-01-014065365930602088INTELLIGENT PREDICTION METHOD ON STABILITY OF THIN-WALL STEEL COMPONENT WITH NON CONTINUOUS CROSS SECTIONSONG YiMingLV ZhiJunCHEN DongWU YongMeiThe factors,which influence the stability of thin-wall perforated steel components are complex. Take the columns as an example,in the existing research,much attention has been paid to the continuous section,but little paper on noncontinuous one. According to the characteristics of the non continuous cross section,based on performance testing and finite element analysis of columns,with the method of BP neural network intelligent stability prediction,the stability prediction model of the columns is established. The predict results are compared with the test data,and the error is less than 2%,which is more accurate than the finite element analysis results. It is very promising that the intelligent prediction method has applied in the structure engineering.http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2018.03.024Ultimate bearing capacityNon continuous sectionBack propagationSection propertiesStability design
spellingShingle SONG YiMing
LV ZhiJun
CHEN Dong
WU YongMei
INTELLIGENT PREDICTION METHOD ON STABILITY OF THIN-WALL STEEL COMPONENT WITH NON CONTINUOUS CROSS SECTION
Jixie qiangdu
Ultimate bearing capacity
Non continuous section
Back propagation
Section properties
Stability design
title INTELLIGENT PREDICTION METHOD ON STABILITY OF THIN-WALL STEEL COMPONENT WITH NON CONTINUOUS CROSS SECTION
title_full INTELLIGENT PREDICTION METHOD ON STABILITY OF THIN-WALL STEEL COMPONENT WITH NON CONTINUOUS CROSS SECTION
title_fullStr INTELLIGENT PREDICTION METHOD ON STABILITY OF THIN-WALL STEEL COMPONENT WITH NON CONTINUOUS CROSS SECTION
title_full_unstemmed INTELLIGENT PREDICTION METHOD ON STABILITY OF THIN-WALL STEEL COMPONENT WITH NON CONTINUOUS CROSS SECTION
title_short INTELLIGENT PREDICTION METHOD ON STABILITY OF THIN-WALL STEEL COMPONENT WITH NON CONTINUOUS CROSS SECTION
title_sort intelligent prediction method on stability of thin wall steel component with non continuous cross section
topic Ultimate bearing capacity
Non continuous section
Back propagation
Section properties
Stability design
url http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2018.03.024
work_keys_str_mv AT songyiming intelligentpredictionmethodonstabilityofthinwallsteelcomponentwithnoncontinuouscrosssection
AT lvzhijun intelligentpredictionmethodonstabilityofthinwallsteelcomponentwithnoncontinuouscrosssection
AT chendong intelligentpredictionmethodonstabilityofthinwallsteelcomponentwithnoncontinuouscrosssection
AT wuyongmei intelligentpredictionmethodonstabilityofthinwallsteelcomponentwithnoncontinuouscrosssection