000008923 001__ 8923
000008923 005__ 20141204083533.0
000008923 04107 $$aeng
000008923 046__ $$k12/05/2014
000008923 100__ $$aZrůbek, L.
000008923 24500 $$aPREDICTION OF ESHELBY'S INCLUSION PROBLEM SOLUTION USING ARTIFICIAL NEURAL NETWORK

000008923 24630 $$n20.$$pEngineering Mechanics 2014
000008923 260__ $$bBrno University of Technology- Institute of Solid Mechanics, Mechatronics and Biomechanics
000008923 506__ $$arestricted
000008923 520__ $$2eng$$aIn 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 (Novák 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.

000008923 540__ $$aText je chráněný podle autorského zákona č. 121/2000 Sb.
000008923 653__ $$aMicromechanics, Isotropic Ellipsoidal Inclusions, Eshelby’s Solution, Artificial Neural Network.

000008923 7112_ $$aEngineering Mechanics 2014$$cSvratka (CZ)$$d12/05/2014 - 15/05/2014$$gEM2014
000008923 720__ $$aZrůbek, L.$$iKučerová, A.$$iNovák, J.
000008923 8560_ $$ffischerc@itam.cas.cz
000008923 8564_ $$s367933$$uhttps://invenio.itam.cas.cz/record/8923/files/177-Zrubek-CD.pdf$$yOriginal version of the author's contribution as presented on CD, paper No. 177.
000008923 962__ $$r70
000008923 980__ $$aPAPER