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Comparative study of honeycomb optimization using Kriging and radial basis function
journal contribution
posted on 2023-07-26, 13:35 authored by Shabnam Sadeghi Esfahlani, Hassan Shirvani, Sunny O. Nwaubani, Ayoub Shirvani, Habtom MebrahtuStructural 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%.
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Refereed
- Yes
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3Issue number
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031002Publication title
Theoretical and Applied Mechanics LettersISSN
2095-0349External DOI
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ElsevierLanguage
- other
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2015-02-09Legacy Faculty/School/Department
ARCHIVED Faculty of Science & Technology (until September 2018)Usage metrics
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