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Comparative study of honeycomb optimization using Kriging and radial basis function

Comparative study of honeycomb optimization using Kriging and radial basis function

作     者:Shabram Sadeghi Esfahlani Hassan Shirvani Sunny Nwaubani Ayoub Shirvani Habtom Mebrahtu 

作者机构:Department of Engineering and Built EnvironmentAnglia Ruskin UniversityBishop Hall LaneUnited Kingdom 

出 版 物:《Theoretical & Applied Mechanics Letters》 (力学快报(英文版))

年 卷 期:2013年第3卷第3期

页      面:14-18页

学科分类:07[理学] 08[工学] 070104[理学-应用数学] 080101[工学-一般力学与力学基础] 0701[理学-数学] 0801[工学-力学(可授工学、理学学位)] 

主  题:radial basis function network (RBFN) Kriging crashworthiness optimization algorithm 

摘      要: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%.

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