Lightweight design of variable-angle filament-wound cylinders combining Kriging-based metamodels with particle swarm optimization

Journal Article (2022)
Author(s)

Zhihua Wang (Chengdu Aircraft Industrial Group Co. Ltd, TU Delft - Aerospace Structures & Computational Mechanics, University of Electronic Science and Technology of China)

José Humberto S. Almeida (Aalto University, Queen's University Belfast)

Aravind Ashok (Student TU Delft)

Zhonglai Wang (University of Electronic Science and Technology of China)

Saullo Giovani Castro (TU Delft - Aerospace Structures & Computational Mechanics)

Research Group
Aerospace Structures & Computational Mechanics
Copyright
© 2022 Z. Wang, José Humberto S. Almeida, Aravind Ashok, Zhonglai Wang, Saullo G.P. Castro
DOI related publication
https://doi.org/10.1007/s00158-022-03227-8
More Info
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Publication Year
2022
Language
English
Copyright
© 2022 Z. Wang, José Humberto S. Almeida, Aravind Ashok, Zhonglai Wang, Saullo G.P. Castro
Research Group
Aerospace Structures & Computational Mechanics
Issue number
5
Volume number
65
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Abstract

Variable-angle filament-wound (VAFW) cylinders are herein optimized for minimum mass under manufacturing constraints, and for various design loads. A design parameterization based on a second-order polynomial variation of the tow winding angle along the axial direction of the cylinders is utilized to explore the nonlinear steering-thickness dependency in VAFW structures, whereby the thickness becomes a function of the filament steering angle. Particle swarm optimization coupled with three Kriging-based metamodels is used to find the optimum designs. A single-curvature Bogner–Fox–Schmit–Castro finite element is formulated to accurately and efficiently represent the variable stiffness properties of the shells, and verifications are performed using a general purpose plate element. Alongside the main optimization studies, a vast analysis of the design space is performed using the metamodels, showing a gap in the design space for the buckling strength that is confirmed by genetic algorithm optimizations. Extreme lightweight while buckling-resistant designs are reached, along with non-conventional optimum layouts thanks to the high degree of thickness build-up tailoring.