Please use this identifier to cite or link to this item: https://hdl.handle.net/10321/5641
DC FieldValueLanguage
dc.contributor.authorMoyo, Ranaganai T.en_US
dc.contributor.authorTabakov, Pavel Yaroslavovichen_US
dc.date.accessioned2024-10-28T15:24:55Z-
dc.date.available2024-10-28T15:24:55Z-
dc.date.issued2024-09-05-
dc.identifier.citationMoyo, R.T. and Tabakov, P.Y. 2024. Optimal design of laminated composite and nanocomposite structures using evolutionary optimization techniques: a survey. Journal of Advances in Computing and Engineering. 4(2): 82-108 (27).en_US
dc.identifier.issn2735-5985-
dc.identifier.urihttps://hdl.handle.net/10321/5641-
dc.description.abstractThe optimal design of laminated composite and nanocomposite (LCNC) structures stands at the forefront of materials engineering, offering the potential to revolutionize the development of advanced materials with superior mechanical, thermal, and electrical properties. By tailoring LCNC structures to meet specific performance requirements, optimizing material usage, and exploring innovative design approaches, engineers can create lighter, more efficient, and environmentally friendly structures that excel in diverse applications. Many industries such as automotive, aerospace, and construction are already using composite and nanocomposite materials to develop high-strength and lightweight structures. Thus, this survey delves into evolutionary optimization techniques as powerful tools for achieving optimal configurations in LCNC structures, highlighting the importance of selecting the appropriate technique for a given optimization problem. A strict selection method was employed to come up with this review paper, and only reputable literary sources were used. The research articles used in this survey were searched from top research databases such as ScienceDirect, IEEE Xplore, Scopus, and Google Scholar. The articles published in the period, 2015 to 2024 were considered. Common design optimization problems such as buckling load, vibration, and weight and cost minimization were covered.en_US
dc.format.extent27 pen_US
dc.language.isoenen_US
dc.relation.ispartofJournal of Advances in Computing and Engineering; Vol. 4, Issue 2en_US
dc.subjectLCNC structuresen_US
dc.subjectEvolutionary optimizationen_US
dc.subjectOptimal designen_US
dc.subjectAdvanced materialsen_US
dc.titleOptimal design of laminated composite and nanocomposite structures using evolutionary optimization techniques : a surveyen_US
dc.typeArticleen_US
dc.date.updated2024-10-21T12:34:05Z-
dc.identifier.doihttp://dx.doi.org/10.21622/ACE.2024.04.2.930-
item.cerifentitytypePublications-
item.openairetypeArticle-
item.fulltextWith Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.grantfulltextopen-
item.languageiso639-1en-
Appears in Collections:Research Publications (Engineering and Built Environment)
Files in This Item:
File Description SizeFormat
JACE Copyright Clearance.docx145.2 kBMicrosoft Word XMLView/Open
Moyo_Tabakov_2024.pdf1.33 MBAdobe PDFView/Open
Show simple item record

Google ScholarTM

Check

Altmetric

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.