Optimization of material composition of nonhomogeneous hollow sphere for thermal stress relaxation making use of neural network

DOI10.1016/S0045-7825(99)00055-9zbMath0965.74051MaRDI QIDQ1968616

Ryuusuke Kawamura, Ryuutarou Imamura, Yoshinobu Tanigawa, Yoshihiro Ootao

Publication date: 21 March 2000

Published in: Computer Methods in Applied Mechanics and Engineering (Search for Journal in Brave)

zbMATH Keywords

neural networktitanium alloyzirconium oxidelaminated hollow sphereoptimal thermal stress distributionoptimization of material composition

Mathematics Subject Classification ID

Neural networks for/in biological studies, artificial life and related topics (92B20) Composite and mixture properties (74E30) Thermal effects in solid mechanics (74F05) Optimization of other properties in solid mechanics (74P10)

Related Items (5)

Torsional deformations and material tailoring of orthotropic bi-directional FGM hollow truncated conical cylinders with curved lateral surfaces ⋮ Optimizing the composition profile of a functionally graded interlayer using a direct transcription method ⋮ Thermomechanically coupled sensitivity analysis and design optimization of functionally graded materials ⋮ Computational mechanics enhanced by deep learning ⋮ Optimal tailoring of 2D volume-fraction distributions for heat-resisting functionally graded materials using FDM

Cites Work

• Optimum design of aerospace structural components using neural networks

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