NONLINEAR PHENOMENA IN COMPLEX SYSTEMS
An Interdisciplinary Journal

2017, Vol.20, No.4, pp. 374 - 381


Neural Network Method in the Problem of Defining Steady State Creep in Rotating Solid Disks
Evgenii B. Kuznetsov, Sergey S. Leonov, and Alexander N. Vasilyev

This paper deals with a problem of defining steady state stress in rotating solid titan alloy aviation disks at constant temperature. The problem is described by a system of ordinary differential equations with boundary conditions. The energy variant of the creep theory is used. Technique of neural network modeling is applied to the solution of this problem. The neural network approximation computed for the solution agrees well with the results of other authors.

Key words: creep, specific dissipation work, artificial neural network, ordinary differential equation, boundary value problem

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