PREDICTION OF ESHELBY'S INCLUSION PROBLEM SOLUTION USING ARTIFICIAL NEURAL NETWORK

被引:0
作者
Zrubek, L. [1 ]
Kucerova, A. [1 ]
Novak, J. [1 ]
机构
[1] Czech Tech Univ, Fac Civil Engn, Dept Mech, Prague 16629, Czech Republic
来源
ENGINEERING MECHANICS 2014 | 2014年
关键词
Micromechanics; Isotropic Ellipsoidal Inclusions; Eshelby's Solution; Artificial Neural Network;
D O I
暂无
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
In this contribution we present our new approach to obtain or better estimate mechanical fields (strain, stress and displacement) inside isotropic infinite body with ellipsoidal-like inclusions. The precise solution has been given by J.D. Eshelby (1957) to internal and external points of inclusion domains and form the basis of our work. When the Eshelby's solution is extended to take into account perturbations due to the presence of numerous adjacent inclusions (Novak et al., 2012; Oberrecht et al., 2013) the solution given for dozens of points is very time demanding. Utilizing Artificial Neural Network (ANN) trained by exact Eshelby's solutions to predict mechanical fields can be achieved considerable speedup at the cost of approximate solution. At this state we only focus on prediction of one component of a perturbation strain tensor for single ellipsoidal inclusion.
引用
收藏
页码:752 / 755
页数:4
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