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OPTIMIZATION OF MATERIAL COMPOSITION OF FUNCTIONALLY GRADED PLATE FOR THERMAL STRESS RELAXATION USING A GENETIC ALGORITHM

โœ Scribed by Yoshihiro Ootao, Yoshinobu Tanigawa,

Book ID
120232633
Publisher
Taylor and Francis Group
Year
2000
Tongue
English
Weight
311 KB
Volume
23
Category
Article
ISSN
0149-5739

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Optimization of material composition of
Optimization of material composition of nonhomogeneous hollow sphere for thermal stress relaxation making use of neural network
โœ Yoshihiro Ootao; Ryuusuke Kawamura; Yoshinobu Tanigawa; Ryuutarou Imamura ๐Ÿ“‚ Article ๐Ÿ“… 1999 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 531 KB

In this study, a neural network is applied to optimization problems of material compositions for a nonhomogeneous hollow sphere with arbitrarily distributed and continuously varied material properties such as functionally graded material (FGM). Using the analytical procedure of a laminated hollow sp