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Prikladnaya Mekhanika i Tekhnicheskaya Fizika, 2024, Volume 65, Issue 4, Pages 164–178
DOI: https://doi.org/10.15372/PMTF202315285 (Mi pmtf7686) 		 
Optimization of design parameters for a fiber-wound pressure vessel with a stable strength ratio based on the hybrid method of particle swarm optimization and grey wolf optimization

Z. Liu, M. Zhong, Sh. Ye, Ch. Li, Ch. Kang, B. Deng

Jiangsu University of Science and Technology, Zhenjiang
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DOI: https://doi.org/10.15372/PMTF202315285
Abstract: This study is aimed at optimizing the design parameters (winding angle, fiber volume fraction, elasticity modulus of fibers, and radius-thickness ratio) of the fiber-wound pressure vessel for achieving a stable strength ratio based on a hybrid method of Particle Swarm Optimization and Grey Wolf Optimization (HPSOGWO). A three-dimensional linear elasticity theory is used to solve the problem numerically.
Keywords: fiber-wound pressure vessel, fibers, strength, optimization, hybrid method.
Funding agency Grant number
Natural Science Foundation of Jiangsu Province BK20200999
Jiangsu University 1022931904
Jiangsu Provincial Innovation Graduate Program SJCX22_1931
Received: 03.04.2023
Revised: 23.08.2023
Accepted: 01.09.2023
English version:
Journal of Applied Mechanics and Technical Physics, 2024, Volume 65, Issue 4, Pages 736–748
DOI: https://doi.org/10.1134/S002189442404014X
Bibliographic databases:
Document Type: Article
UDC: 629.78
Language: Russian
Citation: Z. Liu, M. Zhong, Sh. Ye, Ch. Li, Ch. Kang, B. Deng, “Optimization of design parameters for a fiber-wound pressure vessel with a stable strength ratio based on the hybrid method of particle swarm optimization and grey wolf optimization”, Prikl. Mekh. Tekh. Fiz., 65:4 (2024), 164–178; J. Appl. Mech. Tech. Phys., 65:4 (2024), 736–748
Citation in format AMSBIB
\Bibitem{LiuZhoYe24}
\by Z.~Liu, M.~Zhong, Sh.~Ye, Ch.~Li, Ch.~Kang, B.~Deng
\paper Optimization of design parameters for a fiber-wound pressure vessel with a stable strength ratio based on the hybrid method of particle swarm optimization and grey wolf optimization
\jour Prikl. Mekh. Tekh. Fiz.
\yr 2024
\vol 65
\issue 4
\pages 164--178
\mathnet{http://mi.mathnet.ru/pmtf7686}
\crossref{https://doi.org/10.15372/PMTF202315285}
\elib{https://elibrary.ru/item.asp?id=54386914}
\transl
\jour J. Appl. Mech. Tech. Phys.
\yr 2024
\vol 65
\issue 4
\pages 736--748
\crossref{https://doi.org/10.1134/S002189442404014X}
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