Print Email Facebook Twitter Reliability-based buckling optimization with an accelerated Kriging metamodel for filament-wound variable angle tow composite cylinders Title Reliability-based buckling optimization with an accelerated Kriging metamodel for filament-wound variable angle tow composite cylinders Author Wang, Z. (TU Delft Aerospace Structures & Computational Mechanics; University of Electronic Science and Technology of China) Almeida, José Humberto S. (Aalto University) St-Pierre, Luc (Aalto University) Wang, Zhonglai (University of Electronic Science and Technology of China) Castro, Saullo G.P. (TU Delft Aerospace Structures & Computational Mechanics) Date 2020-12-15 Abstract A reliability-based optimization framework is introduced and used to design filament-wound cylindrical shells with variable angle tow. Seven design cases are investigated to enable a comparison between constant-stiffness and variable angle tow designs, also considering effects of thickness variation created due to overlapping tow paths, determined using the kinematics of the filament winding manufacturing process. The uncertainty in the winding angle is considered in the optimization by means of metamodels constructed using the Kriging method. Moving search windows are incorporated into the Kriging metamodel to accelerate its convergence by reducing the number of training iterations. The results prove the efficacy of the proposed framework and clearly demonstrate the advantage of variable-stiffness designs over conventional ones for achieving a maximum load carrying capacity, while keeping the robustness of the design towards manufacturing uncertainties. Subject BucklingFilament windingKrigingMetamodelingReliability-based optimizationUncertainty quantification To reference this document use: http://resolver.tudelft.nl/uuid:77d7e22a-8c4d-4e33-8d94-2355549a4625 DOI https://doi.org/10.1016/j.compstruct.2020.112821 ISSN 0263-8223 Source Composite Structures, 254 Part of collection Institutional Repository Document type journal article Rights © 2020 Z. Wang, José Humberto S. Almeida, Luc St-Pierre, Zhonglai Wang, Saullo G.P. Castro Files PDF 1_s2.0_S0263822320327471_main.pdf 3.64 MB Close viewer /islandora/object/uuid:77d7e22a-8c4d-4e33-8d94-2355549a4625/datastream/OBJ/view