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Description
  • In this paper we present our approach to estimate mechanical fields around ellipsoidal-like inclusions inside isotropic infinite body by means of Artificial Neural Network (ANN). The calibration of ANN is based on samples of exact solution given by J. D. Eshelby for Inclusion problem.
  • In this paper we present our approach to estimate mechanical fields around ellipsoidal-like inclusions inside isotropic infinite body by means of Artificial Neural Network (ANN). The calibration of ANN is based on samples of exact solution given by J. D. Eshelby for Inclusion problem. (en)
Title
  • Artificial Neural Network in Prediction of Solution for Eshelby’s Inclusion Problem
  • Artificial Neural Network in Prediction of Solution for Eshelby’s Inclusion Problem (en)
skos:prefLabel
  • Artificial Neural Network in Prediction of Solution for Eshelby’s Inclusion Problem
  • Artificial Neural Network in Prediction of Solution for Eshelby’s Inclusion Problem (en)
skos:notation
  • RIV/68407700:21110/14:00221929!RIV15-MSM-21110___
http://linked.open...avai/riv/aktivita
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  • P(GAP105/12/0331), P(GPP105/11/P370), S
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  • 4154
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  • RIV/68407700:21110/14:00221929
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  • micromechanics; isotropic inhomogeneities; isotropic ellipsoidal inclusions; Eshelby’s solution; artificial neural network (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [D0BB589151D0]
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  • Praha
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  • Prague
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  • Proceedings of the 5th Conference Nano & Macro Mechanics
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  • Kučerová, Anna
  • Novák, Jan
  • Zrůbek, Lukáš
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number of pages
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  • České vysoké učení technické v Praze
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  • 978-80-01-05569-4
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  • 21110
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