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https://hdl.handle.net/10321/5641
Title: | Optimal design of laminated composite and nanocomposite structures using evolutionary optimization techniques : a survey | Authors: | Moyo, Ranaganai T. Tabakov, Pavel Yaroslavovich |
Keywords: | LCNC structures;Evolutionary optimization;Optimal design;Advanced materials | Issue Date: | 5-Sep-2024 | Source: | Moyo, 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). | Journal: | Journal of Advances in Computing and Engineering; Vol. 4, Issue 2 | Abstract: | The 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. |
URI: | https://hdl.handle.net/10321/5641 | ISSN: | 2735-5985 | DOI: | http://dx.doi.org/10.21622/ACE.2024.04.2.930 |
Appears in Collections: | Research Publications (Engineering and Built Environment) |
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JACE Copyright Clearance.docx | 145.2 kB | Microsoft Word XML | View/Open | |
Moyo_Tabakov_2024.pdf | 1.33 MB | Adobe PDF | View/Open |
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