Optimization of Axial Symmetrical FGM Using the Genetic Algorithm

ZHANG Xiaodan; WANG Sanqiang; LIU Dongqing

doi:10.13374/j.issn1001-053x.2002.06.013

Volume 24 Issue 6

Aug. 2021

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ZHANG Xiaodan, WANG Sanqiang, LIU Dongqing. Optimization of Axial Symmetrical FGM Using the Genetic Algorithm[J]. Chinese Journal of Engineering, 2002, 24(6): 630-632,650. doi: 10.13374/j.issn1001-053x.2002.06.013

Citation:

ZHANG Xiaodan, WANG Sanqiang, LIU Dongqing. Optimization of Axial Symmetrical FGM Using the Genetic Algorithm[J]. Chinese Journal of Engineering, 2002, 24(6): 630-632,650. doi: 10.13374/j.issn1001-053x.2002.06.013

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Optimization of Axial Symmetrical FGM Using the Genetic Algorithm

doi: 10.13374/j.issn1001-053x.2002.06.013

Applied Science School, UST Beijing, Beijing 100083, China

Received Date: 2001-11-05
Available Online: 2021-08-26

Abstract

Abstract

The distribution of thermal stresses for an empty cylinder of Functionally Graded Materials (FGM) with axial symmetry is obtained, and the Genetic Algorithm (GA) is applied to the optimization problem of material composition for an empty cylinder of FGM with axial symmetry. Based on the thermal elasticity theory and computational method, the numerical calculations are made using a genetic algorithm. The minimum thermal stresses and optimum combination are obtained for an empty cylinder of FGM.
- functionally graded material （FGM）,
- thermal stress,
- genetic algorithm,
- chromos-ome