Applying Research on Creep Constitutive Model of No.35 Steel Based on BC-BPNN

Abstract:

The inelastic response constitutive description of metal material under different stress and wide temperature range is very important in many practical engineering. It can accurately reflect the level of material rate sensitivity and set up a simple and practical strengthening evolution rate. Take No.35 steel as an example; because of the action of load, temperature, time and other factors in its forming process, the creep relation is very important and complex. In view of this situation, the BC-BPNN (Based on Back propagation Neural Network), owing high precision nonlinear fitting ability has and good generalization ability, is applied to the research on creep constitutive relationship of 35 steel. At first, the creep relationship is numerically fitted using testing data of 35 steel; then, the fitting results is compared with the creep testing data. The results show that the applying of BC-BPNN to research on metal creep relationship has a strong practical value.

• Periodical: Applied Mechanics and Materials (Volumes 423-426)
• Pages: 247-250
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.423-426.247
• Online since: September 2013
• Authors: Xiang Hua Peng, Jie Li, Ya Feng Jiang, Min Yu*
• Keywords: BC-BP Neural Network, Creep Constitutive Relationship, No.35 Steel, Numerical Fitting

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