Buckling analysis of axially-loaded functionally graded carbon nanotube-reinforced composite conical panels using a novel numerical variational method
Buckling analysis of axially-compressed functionally graded carbon nanotube-reinforced composite (FG-CNTRC) conical panels is presented employing the variational differential quadrature (VDQ) method. The material properties of nanocomposite conical panel are assumed to be graded along the thickness...
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Veröffentlicht in: | Composite structures 2016-12, Vol.157, p.398-411 |
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creator | Ansari, Reza Torabi, Jalal Shojaei, Mostafa Faghih Hasrati, Emad |
description | Buckling analysis of axially-compressed functionally graded carbon nanotube-reinforced composite (FG-CNTRC) conical panels is presented employing the variational differential quadrature (VDQ) method. The material properties of nanocomposite conical panel are assumed to be graded along the thickness direction and are estimated through the micromechanical model. To present the energy functional of the structure, the first-order shear deformation theory is utilized. Applying the generalized differential quadrature (GDQ) method in axial and circumferential directions, the discretized form of energy functional is obtained. Then, based on Hamilton’s principle and matrix relations, the reduced form of stiffness matrices is derived. A comparison between the obtained results and those given in the literature shows the accuracy of the present approach. Numerical results indicate that volume fractions and distribution patterns of CNTs have significant effects on the buckling load of FG-CNTRC conical panels. |
doi_str_mv | 10.1016/j.compstruct.2016.08.028 |
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The material properties of nanocomposite conical panel are assumed to be graded along the thickness direction and are estimated through the micromechanical model. To present the energy functional of the structure, the first-order shear deformation theory is utilized. Applying the generalized differential quadrature (GDQ) method in axial and circumferential directions, the discretized form of energy functional is obtained. Then, based on Hamilton’s principle and matrix relations, the reduced form of stiffness matrices is derived. A comparison between the obtained results and those given in the literature shows the accuracy of the present approach. Numerical results indicate that volume fractions and distribution patterns of CNTs have significant effects on the buckling load of FG-CNTRC conical panels.</description><identifier>ISSN: 0263-8223</identifier><identifier>EISSN: 1879-1085</identifier><identifier>DOI: 10.1016/j.compstruct.2016.08.028</identifier><language>eng</language><publisher>Elsevier Ltd</publisher><subject>Buckling ; Carbon ; Differential quadrature method ; FG-CNTRC conical panels ; Functionally gradient materials ; Mathematical models ; Nanostructure ; Panels ; Quadratures ; Variational formulation ; Variational methods</subject><ispartof>Composite structures, 2016-12, Vol.157, p.398-411</ispartof><rights>2016 Elsevier Ltd</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c351t-12cad936b0b64261d1351cec560feead682208b23d341fdd1057bde455bd02963</citedby><cites>FETCH-LOGICAL-c351t-12cad936b0b64261d1351cec560feead682208b23d341fdd1057bde455bd02963</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.compstruct.2016.08.028$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,780,784,3550,27924,27925,45995</link.rule.ids></links><search><creatorcontrib>Ansari, Reza</creatorcontrib><creatorcontrib>Torabi, Jalal</creatorcontrib><creatorcontrib>Shojaei, Mostafa Faghih</creatorcontrib><creatorcontrib>Hasrati, Emad</creatorcontrib><title>Buckling analysis of axially-loaded functionally graded carbon nanotube-reinforced composite conical panels using a novel numerical variational method</title><title>Composite structures</title><description>Buckling analysis of axially-compressed functionally graded carbon nanotube-reinforced composite (FG-CNTRC) conical panels is presented employing the variational differential quadrature (VDQ) method. The material properties of nanocomposite conical panel are assumed to be graded along the thickness direction and are estimated through the micromechanical model. To present the energy functional of the structure, the first-order shear deformation theory is utilized. Applying the generalized differential quadrature (GDQ) method in axial and circumferential directions, the discretized form of energy functional is obtained. Then, based on Hamilton’s principle and matrix relations, the reduced form of stiffness matrices is derived. A comparison between the obtained results and those given in the literature shows the accuracy of the present approach. Numerical results indicate that volume fractions and distribution patterns of CNTs have significant effects on the buckling load of FG-CNTRC conical panels.</description><subject>Buckling</subject><subject>Carbon</subject><subject>Differential quadrature method</subject><subject>FG-CNTRC conical panels</subject><subject>Functionally gradient materials</subject><subject>Mathematical models</subject><subject>Nanostructure</subject><subject>Panels</subject><subject>Quadratures</subject><subject>Variational formulation</subject><subject>Variational methods</subject><issn>0263-8223</issn><issn>1879-1085</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><recordid>eNqFUctOAzEMjBBIlMc_5MhlFyf7aHoExEtC4gLnKJt4ISWblGS3oj_C95K2SBw52RqPPbaHEMqgZMDay2Wpw7BKY5z0WPKMlCBK4OKAzJiYLwoGojkkM-BtVQjOq2NyktISAETN2Ix8X0_6w1n_RpVXbpNsoqGn6ssq5zaFC8qgof3k9WiD32L0Le4wrWIXPPXKh3HqsIhofR-i3pbyQiHZEXPmrVaOrpRHl-iUdkLUhzU66qcB4668VtGqvQAdcHwP5owc9colPP-Np-T17vbl5qF4er5_vLl6KnTVsLFgXCuzqNoOurbmLTMswxp100KPqEybLwbR8cpUNeuNYdDMO4N103QG-KKtTsnFfu4qhs8J0ygHmzQ6lxcOU5JM1I2AajGvM1XsqTqGlCL2chXtoOJGMpBbK-RS_lkht1ZIEDJbkVuv9635Cbi2GGXSFn3-lY2YuSbY_4f8ABLbnME</recordid><startdate>20161201</startdate><enddate>20161201</enddate><creator>Ansari, Reza</creator><creator>Torabi, Jalal</creator><creator>Shojaei, Mostafa Faghih</creator><creator>Hasrati, Emad</creator><general>Elsevier Ltd</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SR</scope><scope>8FD</scope><scope>H8D</scope><scope>JG9</scope><scope>L7M</scope></search><sort><creationdate>20161201</creationdate><title>Buckling analysis of axially-loaded functionally graded carbon nanotube-reinforced composite conical panels using a novel numerical variational method</title><author>Ansari, Reza ; Torabi, Jalal ; Shojaei, Mostafa Faghih ; Hasrati, Emad</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c351t-12cad936b0b64261d1351cec560feead682208b23d341fdd1057bde455bd02963</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Buckling</topic><topic>Carbon</topic><topic>Differential quadrature method</topic><topic>FG-CNTRC conical panels</topic><topic>Functionally gradient materials</topic><topic>Mathematical models</topic><topic>Nanostructure</topic><topic>Panels</topic><topic>Quadratures</topic><topic>Variational formulation</topic><topic>Variational methods</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ansari, Reza</creatorcontrib><creatorcontrib>Torabi, Jalal</creatorcontrib><creatorcontrib>Shojaei, Mostafa Faghih</creatorcontrib><creatorcontrib>Hasrati, Emad</creatorcontrib><collection>CrossRef</collection><collection>Engineered Materials Abstracts</collection><collection>Technology Research Database</collection><collection>Aerospace Database</collection><collection>Materials Research Database</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>Composite structures</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ansari, Reza</au><au>Torabi, Jalal</au><au>Shojaei, Mostafa Faghih</au><au>Hasrati, Emad</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Buckling analysis of axially-loaded functionally graded carbon nanotube-reinforced composite conical panels using a novel numerical variational method</atitle><jtitle>Composite structures</jtitle><date>2016-12-01</date><risdate>2016</risdate><volume>157</volume><spage>398</spage><epage>411</epage><pages>398-411</pages><issn>0263-8223</issn><eissn>1879-1085</eissn><abstract>Buckling analysis of axially-compressed functionally graded carbon nanotube-reinforced composite (FG-CNTRC) conical panels is presented employing the variational differential quadrature (VDQ) method. The material properties of nanocomposite conical panel are assumed to be graded along the thickness direction and are estimated through the micromechanical model. To present the energy functional of the structure, the first-order shear deformation theory is utilized. Applying the generalized differential quadrature (GDQ) method in axial and circumferential directions, the discretized form of energy functional is obtained. Then, based on Hamilton’s principle and matrix relations, the reduced form of stiffness matrices is derived. A comparison between the obtained results and those given in the literature shows the accuracy of the present approach. Numerical results indicate that volume fractions and distribution patterns of CNTs have significant effects on the buckling load of FG-CNTRC conical panels.</abstract><pub>Elsevier Ltd</pub><doi>10.1016/j.compstruct.2016.08.028</doi><tpages>14</tpages></addata></record> |
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subjects | Buckling Carbon Differential quadrature method FG-CNTRC conical panels Functionally gradient materials Mathematical models Nanostructure Panels Quadratures Variational formulation Variational methods |
title | Buckling analysis of axially-loaded functionally graded carbon nanotube-reinforced composite conical panels using a novel numerical variational method |
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