Optimization of Temperature-Dependent Functionally Graded Material Based on Colonial Competitive Algorithm

Abstract:

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A functionally graded material is optimized for thermal buckling. The buckling problem is formulated where temperature-dependence constituents’ properties are included. Then the Colonial Competitive Algorithm (CCA) is used for optimization of critical thermal buckling load with variation thickness. The results CCA optimization is compared with third order shear deformation theory and another optimum method based on Genetic Algorithm (GA).

Info:

Periodical:

Edited by:

Dongye Sun, Wen-Pei Sung and Ran Chen

Pages:

4575-4580

DOI:

10.4028/www.scientific.net/AMM.121-126.4575

Citation:

H. Mozafari et al., "Optimization of Temperature-Dependent Functionally Graded Material Based on Colonial Competitive Algorithm", Applied Mechanics and Materials, Vols. 121-126, pp. 4575-4580, 2012

Online since:

October 2011

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Price:

$35.00

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