Open AccessMultilayer method for solving a problem of metals rupture under creep conditions
Author(s) -
B Evgenii Kuznetsov,
Sergey С. Leonov,
A Dmitry Tarkhov,
N Alexander Vasilyev
Publication year - 2019
Publication title -
thermal science/thermal science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.339
H-Index - 43
eISSN - 2334-7163
pISSN - 0354-9836
DOI - 10.2298/tsci19s2575k
Subject(s) - creep , isotropy , ordinary differential equation , materials science , fracture (geology) , artificial neural network , identification (biology) , differential equation , parameter identification problem , mathematics , tension (geology) , computer science , mechanics , structural engineering , mathematical analysis , composite material , ultimate tensile strength , physics , model parameter , botany , quantum mechanics , machine learning , engineering , biology
The paper deals with a parameter identification problem for creep and fracture model. The system of ordinary differential equations of kinetic creep theory is applied for describing this model. As for solving the parameter identification problem, we proposed to use the technique of neural network modeling, as well as the multilayer approach. The procedures of neural network modeling and multilayer approximation constructing application is demonstrated by the example of finding parameters for uniaxial tension model for isotropic steel 45 specimens at creep conditions. The solution corresponding to the obtained parameters agrees well with theoretical strain-damage characteristics, experimental data, and results of other authors.