Approximation of Mechanical Fields around Short-Cylinder-Shaped Inclusions by Means of Artificial Neural Network

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21110%2F16%3A00235775" target="_blank" >RIV/68407700:21110/16:00235775 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.4028/www.scientific.net/AMM.825.191" target="_blank" >http://dx.doi.org/10.4028/www.scientific.net/AMM.825.191</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.4028/www.scientific.net/AMM.825.191" target="_blank" >10.4028/www.scientific.net/AMM.825.191</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Approximation of Mechanical Fields around Short-Cylinder-Shaped Inclusions by Means of Artificial Neural Network

Popis výsledku v původním jazyce

In this paper we present our approach to estimate mechanical fields (strains, stresses or displacements) inside isotropic infinite body with isotropic inclusions. Solution can be obtained easily for inclusions with ellipsoidal-like shapes by means of J. D. Eshelby's analytical solution given in~1957. Unfortunately for other distinct shapes of inclusions there is no analytic solution and finite element analysis is quite time consuming option. In our work, we focus on prediction of mechanical response for inclusions in form of short cylinders (e.g. steel fibers in steel-fiber-reinforced concrete) by means of artificial neural network. Which if trained on sufficiently large set of reference examples can predict desired mechanical fields and achieve considerable speed-up at the cost of approximate solution.

Název v anglickém jazyce

Approximation of Mechanical Fields around Short-Cylinder-Shaped Inclusions by Means of Artificial Neural Network

Popis výsledku anglicky

In this paper we present our approach to estimate mechanical fields (strains, stresses or displacements) inside isotropic infinite body with isotropic inclusions. Solution can be obtained easily for inclusions with ellipsoidal-like shapes by means of J. D. Eshelby's analytical solution given in~1957. Unfortunately for other distinct shapes of inclusions there is no analytic solution and finite element analysis is quite time consuming option. In our work, we focus on prediction of mechanical response for inclusions in form of short cylinders (e.g. steel fibers in steel-fiber-reinforced concrete) by means of artificial neural network. Which if trained on sufficiently large set of reference examples can predict desired mechanical fields and achieve considerable speed-up at the cost of approximate solution.

Druh

D - Stať ve sborníku

CEP obor

JN - Stavebnictví

OECD FORD obor

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Projekt

<a href="/cs/project/GA13-24027S" target="_blank" >GA13-24027S: Komprese reálných materiálových systémů pomocí Wangova dláždění</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2016

Kód důvěrnosti údajů

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

Název statě ve sborníku

Modern Methods of Experimental and Computational Investigations in Area of Construction

ISBN

978-3-03835-603-5

ISSN

1660-9336

e-ISSN

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Počet stran výsledku

4

Strana od-do

191-194

Název nakladatele

Trans Tech Publications Inc.

Místo vydání

Pfaffikon

Místo konání akce

Praha

Datum konání akce

17. 9. 2015

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

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