Artificial Neural Network in Approximation of Solution for Short-Cylinder-Shaped Inclusion Problem
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21110%2F15%3A00231338" target="_blank" >RIV/68407700:21110/15:00231338 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Artificial Neural Network in Approximation of Solution for Short-Cylinder-Shaped Inclusion Problem
Original language description
Mechanical fields like strains, stresses or displacements inside isotropic infinite body with ellipsoidal-like inclusions, can be obtained easily by analytical solution given by J. D. Eshelby in 1957. Unfortunately for inclusions in form of short cylinders (e.g. steel fibers in steel-fiber-reinforced concrete) is Eshelby?s solution not applicable and finite element analysis is quite time consuming. Utilizing Artificial Neural Network trained by sufficiently large set of reference solutions to predict desired mechanical fields can be achieved considerable speedup at the cost of approximate solution.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JI - Composite materials
OECD FORD branch
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Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Engineering mechanics 2015
ISBN
978-80-86246-42-0
ISSN
1805-8248
e-ISSN
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Number of pages
2
Pages from-to
382-383
Publisher name
Institute of Theoretical and Applied Mechanics Academy of Sciences of the Czech Republic
Place of publication
Prague
Event location
Svratka
Event date
May 11, 2015
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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