Multivariate Optimization of Fiber Reinforced Laminate Using Ant Colony Optimization Algorithm
Fiber reinforced laminate design is a challenging problem in the field of composite laminates. It provides us a systematic way to design the laminates of desired properties while conveniently incorporating the thick-ness and mass constraints. In this paper, we pursue the multivariate graphite fiber...
Gespeichert in:
| Veröffentlicht in: | Materials Science Forum 2016-08, Vol.867, p.116-120 |
|---|---|
| Hauptverfasser: | , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 120 |
|---|---|
| container_issue | |
| container_start_page | 116 |
| container_title | Materials Science Forum |
| container_volume | 867 |
| creator | Mazhar, Farrukh Ahmad, Riaz Imran, Malik M. |
| description | Fiber reinforced laminate design is a challenging problem in the field of composite laminates. It provides us a systematic way to design the laminates of desired properties while conveniently incorporating the thick-ness and mass constraints. In this paper, we pursue the multivariate graphite fiber reinforced laminate design problem using Ant Colony Optimization (ACO) algorithm. Classical lamination theory is used to determine mid-plane strains, curvatures and stresses in individual lamina under applied biaxial loading conditions. The fiber orientations, lamina thickness, number of layers and fiber volume fractions of lamina are considered as the optimization variables. Failure of the lamina is analyzed by Tsai–Wu failure criterion. Objective of the study is to maximize the load carry capacity of the composite laminate structure and minimize the areal mass density under multivariate/multiobjective optimization. |
| doi_str_mv | 10.4028/www.scientific.net/MSF.867.116 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_1845834741</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>4152283651</sourcerecordid><originalsourceid>FETCH-LOGICAL-c2436-49631eb0bf3449f987a2ea1e0a1b2204aa5c9695a2fe4b64b5c1675b78cd541a3</originalsourceid><addsrcrecordid>eNqNkUtLKzEYQIMPsFb_w4AgbmbMezIbuaXcqlARfGwNmZjRyEzSm6S36K83pYKPlatsTs738R0AjhGsKMTidLVaVVFb45LtrK6cSadXt7NK8LpCiG-BEeIcl03N8DbYJ5AIwmqKyA4YQcxYyWjN98B-jC8QEiQQH4GHq2Wf7H8VrEqmuF4kO9g3lax3he-KmW1NKG6MdZ0P2jwWczVYtybvo3VPxcSlYup7716_f530Tz7Y9DwcgN1O9dEcfrxjcD_7eze9KOfX55fTybzUmBJe0oYTZFrYdoTSpmtErbBRyECFWowhVYrphjdM4c7QltOWacRr1tZCPzKKFBmDk413Efy_pYlJDjZq0_fKGb-MEgnKBKHrY4zB0Q_0xS-Dy9tlCmFGCYYiU2cbSgcfYzCdXAQ7qPAqEZTrFjK3kJ8tZG4hcwuZW8jcIgv-bAQpKBeT0c9f5vxO8Q6wRJl3</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1812543208</pqid></control><display><type>article</type><title>Multivariate Optimization of Fiber Reinforced Laminate Using Ant Colony Optimization Algorithm</title><source>ProQuest Central Essentials</source><source>ProQuest Central Student</source><source>ProQuest Central (Alumni)</source><source>Scientific.net Journals</source><creator>Mazhar, Farrukh ; Ahmad, Riaz ; Imran, Malik M.</creator><creatorcontrib>Mazhar, Farrukh ; Ahmad, Riaz ; Imran, Malik M.</creatorcontrib><description>Fiber reinforced laminate design is a challenging problem in the field of composite laminates. It provides us a systematic way to design the laminates of desired properties while conveniently incorporating the thick-ness and mass constraints. In this paper, we pursue the multivariate graphite fiber reinforced laminate design problem using Ant Colony Optimization (ACO) algorithm. Classical lamination theory is used to determine mid-plane strains, curvatures and stresses in individual lamina under applied biaxial loading conditions. The fiber orientations, lamina thickness, number of layers and fiber volume fractions of lamina are considered as the optimization variables. Failure of the lamina is analyzed by Tsai–Wu failure criterion. Objective of the study is to maximize the load carry capacity of the composite laminate structure and minimize the areal mass density under multivariate/multiobjective optimization.</description><identifier>ISSN: 0255-5476</identifier><identifier>ISSN: 1662-9752</identifier><identifier>ISBN: 3038357413</identifier><identifier>ISBN: 9783038357414</identifier><identifier>EISSN: 1662-9752</identifier><identifier>DOI: 10.4028/www.scientific.net/MSF.867.116</identifier><language>eng</language><publisher>Pfaffikon: Trans Tech Publications Ltd</publisher><subject>Algorithms ; Ant colony optimization ; Design engineering ; Failure analysis ; Fiber reinforced materials ; Laminates ; Optimization ; Thickness</subject><ispartof>Materials Science Forum, 2016-08, Vol.867, p.116-120</ispartof><rights>2016 Trans Tech Publications Ltd</rights><rights>Copyright Trans Tech Publications Ltd. Aug 2016</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Uhttps://www.scientific.net/Image/TitleCover/4310?width=600</thumbnail><linktohtml>$$Uhttps://www.proquest.com/docview/1812543208?pq-origsite=primo$$EHTML$$P50$$Gproquest$$H</linktohtml><link.rule.ids>315,781,785,21393,21394,23260,27928,27929,33534,33535,33707,33708,34318,34319,43663,43791,44071</link.rule.ids></links><search><creatorcontrib>Mazhar, Farrukh</creatorcontrib><creatorcontrib>Ahmad, Riaz</creatorcontrib><creatorcontrib>Imran, Malik M.</creatorcontrib><title>Multivariate Optimization of Fiber Reinforced Laminate Using Ant Colony Optimization Algorithm</title><title>Materials Science Forum</title><description>Fiber reinforced laminate design is a challenging problem in the field of composite laminates. It provides us a systematic way to design the laminates of desired properties while conveniently incorporating the thick-ness and mass constraints. In this paper, we pursue the multivariate graphite fiber reinforced laminate design problem using Ant Colony Optimization (ACO) algorithm. Classical lamination theory is used to determine mid-plane strains, curvatures and stresses in individual lamina under applied biaxial loading conditions. The fiber orientations, lamina thickness, number of layers and fiber volume fractions of lamina are considered as the optimization variables. Failure of the lamina is analyzed by Tsai–Wu failure criterion. Objective of the study is to maximize the load carry capacity of the composite laminate structure and minimize the areal mass density under multivariate/multiobjective optimization.</description><subject>Algorithms</subject><subject>Ant colony optimization</subject><subject>Design engineering</subject><subject>Failure analysis</subject><subject>Fiber reinforced materials</subject><subject>Laminates</subject><subject>Optimization</subject><subject>Thickness</subject><issn>0255-5476</issn><issn>1662-9752</issn><issn>1662-9752</issn><isbn>3038357413</isbn><isbn>9783038357414</isbn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNqNkUtLKzEYQIMPsFb_w4AgbmbMezIbuaXcqlARfGwNmZjRyEzSm6S36K83pYKPlatsTs738R0AjhGsKMTidLVaVVFb45LtrK6cSadXt7NK8LpCiG-BEeIcl03N8DbYJ5AIwmqKyA4YQcxYyWjN98B-jC8QEiQQH4GHq2Wf7H8VrEqmuF4kO9g3lax3he-KmW1NKG6MdZ0P2jwWczVYtybvo3VPxcSlYup7716_f530Tz7Y9DwcgN1O9dEcfrxjcD_7eze9KOfX55fTybzUmBJe0oYTZFrYdoTSpmtErbBRyECFWowhVYrphjdM4c7QltOWacRr1tZCPzKKFBmDk413Efy_pYlJDjZq0_fKGb-MEgnKBKHrY4zB0Q_0xS-Dy9tlCmFGCYYiU2cbSgcfYzCdXAQ7qPAqEZTrFjK3kJ8tZG4hcwuZW8jcIgv-bAQpKBeT0c9f5vxO8Q6wRJl3</recordid><startdate>20160816</startdate><enddate>20160816</enddate><creator>Mazhar, Farrukh</creator><creator>Ahmad, Riaz</creator><creator>Imran, Malik M.</creator><general>Trans Tech Publications Ltd</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7SR</scope><scope>7XB</scope><scope>88I</scope><scope>8BQ</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>JG9</scope><scope>KB.</scope><scope>M2P</scope><scope>PDBOC</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope></search><sort><creationdate>20160816</creationdate><title>Multivariate Optimization of Fiber Reinforced Laminate Using Ant Colony Optimization Algorithm</title><author>Mazhar, Farrukh ; Ahmad, Riaz ; Imran, Malik M.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c2436-49631eb0bf3449f987a2ea1e0a1b2204aa5c9695a2fe4b64b5c1675b78cd541a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Algorithms</topic><topic>Ant colony optimization</topic><topic>Design engineering</topic><topic>Failure analysis</topic><topic>Fiber reinforced materials</topic><topic>Laminates</topic><topic>Optimization</topic><topic>Thickness</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Mazhar, Farrukh</creatorcontrib><creatorcontrib>Ahmad, Riaz</creatorcontrib><creatorcontrib>Imran, Malik M.</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Engineered Materials Abstracts</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Science Database (Alumni Edition)</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central Korea</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection (Proquest) (PQ_SDU_P3)</collection><collection>Materials Research Database</collection><collection>Materials Science Database</collection><collection>ProQuest Science Journals</collection><collection>Materials Science Collection</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest Central Basic</collection><jtitle>Materials Science Forum</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Mazhar, Farrukh</au><au>Ahmad, Riaz</au><au>Imran, Malik M.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Multivariate Optimization of Fiber Reinforced Laminate Using Ant Colony Optimization Algorithm</atitle><jtitle>Materials Science Forum</jtitle><date>2016-08-16</date><risdate>2016</risdate><volume>867</volume><spage>116</spage><epage>120</epage><pages>116-120</pages><issn>0255-5476</issn><issn>1662-9752</issn><eissn>1662-9752</eissn><isbn>3038357413</isbn><isbn>9783038357414</isbn><abstract>Fiber reinforced laminate design is a challenging problem in the field of composite laminates. It provides us a systematic way to design the laminates of desired properties while conveniently incorporating the thick-ness and mass constraints. In this paper, we pursue the multivariate graphite fiber reinforced laminate design problem using Ant Colony Optimization (ACO) algorithm. Classical lamination theory is used to determine mid-plane strains, curvatures and stresses in individual lamina under applied biaxial loading conditions. The fiber orientations, lamina thickness, number of layers and fiber volume fractions of lamina are considered as the optimization variables. Failure of the lamina is analyzed by Tsai–Wu failure criterion. Objective of the study is to maximize the load carry capacity of the composite laminate structure and minimize the areal mass density under multivariate/multiobjective optimization.</abstract><cop>Pfaffikon</cop><pub>Trans Tech Publications Ltd</pub><doi>10.4028/www.scientific.net/MSF.867.116</doi><tpages>5</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0255-5476 |
| ispartof | Materials Science Forum, 2016-08, Vol.867, p.116-120 |
| issn | 0255-5476 1662-9752 1662-9752 |
| language | eng |
| recordid | cdi_proquest_miscellaneous_1845834741 |
| source | ProQuest Central Essentials; ProQuest Central Student; ProQuest Central (Alumni); Scientific.net Journals |
| subjects | Algorithms Ant colony optimization Design engineering Failure analysis Fiber reinforced materials Laminates Optimization Thickness |
| title | Multivariate Optimization of Fiber Reinforced Laminate Using Ant Colony Optimization Algorithm |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-16T21%3A52%3A14IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Multivariate%20Optimization%20of%20Fiber%20Reinforced%20Laminate%20Using%20Ant%20Colony%20Optimization%20Algorithm&rft.jtitle=Materials%20Science%20Forum&rft.au=Mazhar,%20Farrukh&rft.date=2016-08-16&rft.volume=867&rft.spage=116&rft.epage=120&rft.pages=116-120&rft.issn=0255-5476&rft.eissn=1662-9752&rft.isbn=3038357413&rft.isbn_list=9783038357414&rft_id=info:doi/10.4028/www.scientific.net/MSF.867.116&rft_dat=%3Cproquest_cross%3E4152283651%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1812543208&rft_id=info:pmid/&rfr_iscdi=true |