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Optimization of buckling load for laminated composite plates using adaptive Kriging-improved PSO: A novel hybrid intelligent method by Behrooz Keshtegar; Trung Nguyen-Thoi; Tam T. Truong; Shun-Peng Zhu is a Engineering article available to read on EtoBox.

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An effective hybrid optimization method is proposed by integrating an adaptive Kriging (A-Kriging) into an improved partial swarm optimization algorithm (IPSO) to give a so-called A-Kriging-IPSO for maximizing the buckling load of laminated composite plates (LCPs) under uniaxial and biaxial compressions. In this method, a novel iterative adaptive Kriging model, which is structured using two training sample sets as active and adaptive points, is utilized to directly predict the buckling load of the LCPs and to improve the efficiency of the optimization process. The active points are selected from the initial data set while the adaptive points are generated using the radial random-based convex samples. The cell-based smoothed discrete shear gap method (CS-DSG3) is employed to analyze the buckling behavior of the LCPs to provide the response of adaptive and input data sets. The buckling load of the LCPs is maximized by utilizing the IPSO algorithm. To demonstrate the efficiency and accuracy of the proposed methodology, the LCPs with different layers (2, 3, 4, and 10 layers), boundary conditions, aspect ratios and load patterns (biaxial and uniaxial loads) are investigated. The results

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Author

Behrooz Keshtegar; Trung Nguyen-Thoi; Tam T. Truong; Shun-Peng Zhu

Publisher

Elsevier ; China Ordnance Society; Beijing: China Ordnance Society Amsterdam; Elsevier BV; Elsevier BV (ISSN 2214-9147)

Published

2021

Language

EN

Field

Engineering (Physical Sciences)