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Artificial Neural Network in Prediction of Solution for Eshelby?s Inclusion Problem

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21110%2F14%3A00221929" target="_blank" >RIV/68407700:21110/14:00221929 - isvavai.cz</a>

  • Result on the web

    <a href="http://mech.fsv.cvut.cz/nmm2014/cz/sbornik/" target="_blank" >http://mech.fsv.cvut.cz/nmm2014/cz/sbornik/</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Artificial Neural Network in Prediction of Solution for Eshelby?s Inclusion Problem

  • Original language 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.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JI - Composite materials

  • OECD FORD branch

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2014

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Proceedings of the 5th Conference Nano & Macro Mechanics

  • ISBN

    978-80-01-05569-4

  • ISSN

  • e-ISSN

  • Number of pages

    8

  • Pages from-to

    219-226

  • Publisher name

    Czech Technical University

  • Place of publication

    Prague

  • Event location

    Praha

  • Event date

    Sep 18, 2014

  • Type of event by nationality

    CST - Celostátní akce

  • UT code for WoS article