APPROXIMATION OF THE PARAMETER IDENTIFICATION PROBLEM IN DISTRIBUTED PARAMETER SYSTEMS: REDUCTION OF SMOOTHNESS REQUIREMENTS

Author(s):  
K. Kunisch
2019 ◽  
Vol 23 (Suppl. 2) ◽  
pp. 575-582 ◽  
Author(s):  
Evgenii Kuznetsov ◽  
Sergey Leonov ◽  
Dmitry Tarkhov ◽  
Alexander Vasilyev

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.


1992 ◽  
Vol 66 (4) ◽  
pp. 307-318 ◽  
Author(s):  
John A. White ◽  
Paul B. Manis ◽  
Eric D. Young

Sign in / Sign up

Export Citation Format

Share Document