Comparative study of honeycomb optimization using Kriging and radial basis function

Sadeghi Esfahlani, Shabnam and Shirvani, Hassan and Nwaubani, Sunny O. and Shirvani, Ayoub and Mebrahtu, Habtom (2013) Comparative study of honeycomb optimization using Kriging and radial basis function. Theoretical and Applied Mechanics Letters, 3 (3). 031002. ISSN 2095-0349

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Structural optimization for crashworthiness criteria is of particular significance especially at early stage of design. The comparative study of Kriging and radial basis function network (RBFN) was performed in order to improve the crashworthiness effects of honeycomb. Improving the crashworthiness characteristic of honeycomb was achieved using LS-OPT® and domain reduction strategy. This optimization is performed on the basis of validated numerical simulation to establish the approximated model to illustrate the relationship between the responses and design variables. The results showed that Kriging meta-model is excelled in accuracy, robustness and efficiency compared to radial basis function (RBF) and crashworthiness characteristic of honeycomb is improved by 4%.

Item Type: Journal Article
Keywords: radial basis function network (RBFN), Kriging, crashworthiness, optimization, algorithm
Faculty: ARCHIVED Faculty of Science & Technology (until September 2018)
Depositing User: Repository Admin
Date Deposited: 09 Feb 2015 15:52
Last Modified: 09 Sep 2021 16:16

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