Variable-stiffness composite cylinder design under combined loadings by using the improved Kriging model
The large design freedom of variable-stiffness (VS) composite material presupposes its potential for wide engineering application. Previous research indicates that the design of VS cylindrical structures helps to increase the buckling load as compared to quasi-isotropic (QI) cylindrical structures....
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Veröffentlicht in: | Acta mechanica Sinica 2019-02, Vol.35 (1), p.201-211 |
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description | The large design freedom of variable-stiffness (VS) composite material presupposes its potential for wide engineering application. Previous research indicates that the design of VS cylindrical structures helps to increase the buckling load as compared to quasi-isotropic (QI) cylindrical structures. This paper focuses on the anti-buckling performance of VS cylindrical structures under combined loads and the efficient optimization design method. Two kinds of conditions, bending moment and internal pressure, and bending moment and torque are considered. Influences of the geometrical defects, ovality, on the cylinder’s performances are also investigated. To increase the computational efficiency, an adaptive Kriging meta-model is proposed to approximate the structural response of the cylinders. In this improved Kriging model, a mixed updating rule is used in constructing the meta-model. A genetic algorithm (GA) is implemented in the optimization design. The optimal results show that the buckling load of VS cylinders in all cases is greatly increased as compared with a QI cylinder. |
doi_str_mv | 10.1007/s10409-018-0791-y |
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Previous research indicates that the design of VS cylindrical structures helps to increase the buckling load as compared to quasi-isotropic (QI) cylindrical structures. This paper focuses on the anti-buckling performance of VS cylindrical structures under combined loads and the efficient optimization design method. Two kinds of conditions, bending moment and internal pressure, and bending moment and torque are considered. Influences of the geometrical defects, ovality, on the cylinder’s performances are also investigated. To increase the computational efficiency, an adaptive Kriging meta-model is proposed to approximate the structural response of the cylinders. In this improved Kriging model, a mixed updating rule is used in constructing the meta-model. A genetic algorithm (GA) is implemented in the optimization design. The optimal results show that the buckling load of VS cylinders in all cases is greatly increased as compared with a QI cylinder.</description><edition>English ed.</edition><identifier>ISSN: 0567-7718</identifier><identifier>EISSN: 1614-3116</identifier><identifier>DOI: 10.1007/s10409-018-0791-y</identifier><language>eng</language><publisher>Beijing: The Chinese Society of Theoretical and Applied Mechanics; Institute of Mechanics, Chinese Academy of Sciences</publisher><subject>Bending moments ; Buckling ; Classical and Continuum Physics ; Composite materials ; Computational Intelligence ; Computing time ; Cylinders ; Design engineering ; Design optimization ; Engineering ; Engineering Fluid Dynamics ; Genetic algorithms ; Internal pressure ; Kriging interpolation ; Research Paper ; Stiffness ; Theoretical and Applied Mechanics</subject><ispartof>Acta mechanica Sinica, 2019-02, Vol.35 (1), p.201-211</ispartof><rights>The Chinese Society of Theoretical and Applied Mechanics; Institute of Mechanics, Chinese Academy of Sciences and Springer-Verlag GmbH Germany, part of Springer Nature 2018</rights><rights>Copyright Springer Nature B.V. 2019</rights><rights>Copyright © Wanfang Data Co. 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All Rights Reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c348t-7b94c07e12a2566fe322f2e94fd6544cb6a91d557690cfc63295ccbb591bfa453</citedby><cites>FETCH-LOGICAL-c348t-7b94c07e12a2566fe322f2e94fd6544cb6a91d557690cfc63295ccbb591bfa453</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Uhttp://www.wanfangdata.com.cn/images/PeriodicalImages/lxxb-e/lxxb-e.jpg</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s10409-018-0791-y$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s10409-018-0791-y$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,41488,42557,51319</link.rule.ids></links><search><creatorcontrib>Zhong, Jifan</creatorcontrib><creatorcontrib>Zheng, Yaochen</creatorcontrib><creatorcontrib>Chen, Jianqiao</creatorcontrib><creatorcontrib>Jing, Zhao</creatorcontrib><title>Variable-stiffness composite cylinder design under combined loadings by using the improved Kriging model</title><title>Acta mechanica Sinica</title><addtitle>Acta Mech. Sin</addtitle><description>The large design freedom of variable-stiffness (VS) composite material presupposes its potential for wide engineering application. Previous research indicates that the design of VS cylindrical structures helps to increase the buckling load as compared to quasi-isotropic (QI) cylindrical structures. This paper focuses on the anti-buckling performance of VS cylindrical structures under combined loads and the efficient optimization design method. Two kinds of conditions, bending moment and internal pressure, and bending moment and torque are considered. Influences of the geometrical defects, ovality, on the cylinder’s performances are also investigated. To increase the computational efficiency, an adaptive Kriging meta-model is proposed to approximate the structural response of the cylinders. In this improved Kriging model, a mixed updating rule is used in constructing the meta-model. A genetic algorithm (GA) is implemented in the optimization design. The optimal results show that the buckling load of VS cylinders in all cases is greatly increased as compared with a QI cylinder.</description><subject>Bending moments</subject><subject>Buckling</subject><subject>Classical and Continuum Physics</subject><subject>Composite materials</subject><subject>Computational Intelligence</subject><subject>Computing time</subject><subject>Cylinders</subject><subject>Design engineering</subject><subject>Design optimization</subject><subject>Engineering</subject><subject>Engineering Fluid Dynamics</subject><subject>Genetic algorithms</subject><subject>Internal pressure</subject><subject>Kriging interpolation</subject><subject>Research Paper</subject><subject>Stiffness</subject><subject>Theoretical and Applied Mechanics</subject><issn>0567-7718</issn><issn>1614-3116</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><recordid>eNp1kEFvGyEUhFGVSnXc_oDekHroiYbH7oI5VlaSVrGUS9IrAhbWWGvWhXXi_ffF2Uo-5QS8-WYeGoS-Av0BlIqbDLSmklBYESokkOkDWgCHmlQA_AotaMMFEQJWn9B1zjtKKw4CFmj7R6egTe9IHoP30eWM7bA_DDmMDtupD7F1Cbcuhy7i49uj6CZE1-J-0G2IXcZmwsdcbnjcOhz2hzS8FPkhhe483A-t6z-jj1732X35fy7R893t0_oX2Tze_17_3BBb1auRCCNrS4UDplnDuXcVY545WfuWN3VtDdcS2qYRXFLrLa-YbKw1ppFgvK6baom-z7mvOnodO7UbjimWjao_nYxyjIKkQEEU8ttMlu_-Pbo8XlAGgguxqt7yYKZsGnJOzqtDCnudJgVUnatXc_WqVK_O1aupeNjsyYWNnUuX5PdN_wDlU4go</recordid><startdate>20190207</startdate><enddate>20190207</enddate><creator>Zhong, Jifan</creator><creator>Zheng, Yaochen</creator><creator>Chen, Jianqiao</creator><creator>Jing, Zhao</creator><general>The Chinese Society of Theoretical and Applied Mechanics; Institute of Mechanics, Chinese Academy of Sciences</general><general>Springer Nature B.V</general><general>Hubei Key Laboratory for Engineering Structural Analysis and Safety Assessment, Wuhan 430074, China</general><general>Department of Mechanics, Huazhong University of Science and Technology, Wuhan 430074, China</general><scope>AAYXX</scope><scope>CITATION</scope><scope>2B.</scope><scope>4A8</scope><scope>92I</scope><scope>93N</scope><scope>PSX</scope><scope>TCJ</scope></search><sort><creationdate>20190207</creationdate><title>Variable-stiffness composite cylinder design under combined loadings by using the improved Kriging model</title><author>Zhong, Jifan ; Zheng, Yaochen ; Chen, Jianqiao ; Jing, Zhao</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c348t-7b94c07e12a2566fe322f2e94fd6544cb6a91d557690cfc63295ccbb591bfa453</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Bending moments</topic><topic>Buckling</topic><topic>Classical and Continuum Physics</topic><topic>Composite materials</topic><topic>Computational Intelligence</topic><topic>Computing time</topic><topic>Cylinders</topic><topic>Design engineering</topic><topic>Design optimization</topic><topic>Engineering</topic><topic>Engineering Fluid Dynamics</topic><topic>Genetic algorithms</topic><topic>Internal pressure</topic><topic>Kriging interpolation</topic><topic>Research Paper</topic><topic>Stiffness</topic><topic>Theoretical and Applied Mechanics</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zhong, Jifan</creatorcontrib><creatorcontrib>Zheng, Yaochen</creatorcontrib><creatorcontrib>Chen, Jianqiao</creatorcontrib><creatorcontrib>Jing, Zhao</creatorcontrib><collection>CrossRef</collection><collection>Wanfang Data Journals - Hong Kong</collection><collection>WANFANG Data Centre</collection><collection>Wanfang Data Journals</collection><collection>万方数据期刊 - 香港版</collection><collection>China Online Journals (COJ)</collection><collection>China Online Journals (COJ)</collection><jtitle>Acta mechanica Sinica</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zhong, Jifan</au><au>Zheng, Yaochen</au><au>Chen, Jianqiao</au><au>Jing, Zhao</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Variable-stiffness composite cylinder design under combined loadings by using the improved Kriging model</atitle><jtitle>Acta mechanica Sinica</jtitle><stitle>Acta Mech. Sin</stitle><date>2019-02-07</date><risdate>2019</risdate><volume>35</volume><issue>1</issue><spage>201</spage><epage>211</epage><pages>201-211</pages><issn>0567-7718</issn><eissn>1614-3116</eissn><abstract>The large design freedom of variable-stiffness (VS) composite material presupposes its potential for wide engineering application. Previous research indicates that the design of VS cylindrical structures helps to increase the buckling load as compared to quasi-isotropic (QI) cylindrical structures. This paper focuses on the anti-buckling performance of VS cylindrical structures under combined loads and the efficient optimization design method. Two kinds of conditions, bending moment and internal pressure, and bending moment and torque are considered. Influences of the geometrical defects, ovality, on the cylinder’s performances are also investigated. To increase the computational efficiency, an adaptive Kriging meta-model is proposed to approximate the structural response of the cylinders. In this improved Kriging model, a mixed updating rule is used in constructing the meta-model. A genetic algorithm (GA) is implemented in the optimization design. The optimal results show that the buckling load of VS cylinders in all cases is greatly increased as compared with a QI cylinder.</abstract><cop>Beijing</cop><pub>The Chinese Society of Theoretical and Applied Mechanics; Institute of Mechanics, Chinese Academy of Sciences</pub><doi>10.1007/s10409-018-0791-y</doi><tpages>11</tpages><edition>English ed.</edition></addata></record> |
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subjects | Bending moments Buckling Classical and Continuum Physics Composite materials Computational Intelligence Computing time Cylinders Design engineering Design optimization Engineering Engineering Fluid Dynamics Genetic algorithms Internal pressure Kriging interpolation Research Paper Stiffness Theoretical and Applied Mechanics |
title | Variable-stiffness composite cylinder design under combined loadings by using the improved Kriging model |
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