Post-buckling optimization of composite stiffened panels: Computations and experiments

By L. Lanzi, V. Giavotto. 2006

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Buckling Analysis and Optimization of Stiffened Composite Flat and Curved Panels (2012, methodology): “Other global approximations methods, such as radial basis functions and kriging, were used by Lanzi and Giavotto [6] in a multi-objective optimization, whereas surrogate models built using response surfaces were presented by Rikards et al.”
Surrogate-based multi-objective optimization of a composite laminate with curvilinear fibers (2012, methodology): “In another study, Lanzi and Giavotto [19] compared the performance of Radial Basis Function (RBF), Kriging, and Neural Network surrogate modeling techniques to achieve a stiffened composite plate with the minimum weight and maximum buckling load.”
Efficient Optimization of Cylindrical Stiffened Shells with Reinforced Cutouts by Curvilinear Stiffeners (2016, methodology): “Because of the high computational efforts caused by nonlinear postbuckling analysis of stiffened shells, the surrogate model was highly recommended to be used in the postbuckling optimization of stiffened shells [47–51].”
Metamodel based high-fidelity stochastic analysis of composite laminates: A concise review with critical comparative assessment (2017, methodology): “In another attempt, Lanzi and Giavotto [36] compared the performance of Radial Basis Functions, Neural Networks, and Kriging metamodels in a multi-objective optimization problem for maximum post-buckling load and minimum weight of a composite stiffened panel.”