Genetic Algorithm for the Thermal Stresses Optimum Design of Functionally Gradient Material Plate

Xiaodan Zhang; Zhengbin Tang; Changchun Ge

Volume 6 Issue 3

Sep. 1999

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Article Navigation > International Journal of Minerals, Metallurgy and Materials > 1999 > 6(3): 224-227

Xiaodan Zhang, Zhengbin Tang, and Changchun Ge, Genetic Algorithm for the Thermal Stresses Optimum Design of Functionally Gradient Material Plate, J. Univ. Sci. Technol. Beijing, 6(1999), No. 3, pp. 224-227.

Cite this article as:

Xiaodan Zhang, Zhengbin Tang, and Changchun Ge, Genetic Algorithm for the Thermal Stresses Optimum Design of Functionally Gradient Material Plate, J. Univ. Sci. Technol. Beijing, 6(1999), No. 3, pp. 224-227.

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Materials

Genetic Algorithm for the Thermal Stresses Optimum Design of Functionally Gradient Material Plate

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Received: 12 March 1999

Abstract

Abstract

Based on the thermal stress distribution for functionally gradient material (FGM) plates, a Genetic Algorithm (GA) method for the thermal stresses optimum design of FGM plate with computer technologies is given. The minimum thermal stresses combination distribution for FGM is obtained.
- functionally gradient material （FGM）;
- thermal stress;
- Genetic Algorithm （GA）;
- crossover;
- mutation