Artificial neural networks for identification of fibre-reinforced concrete
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26110%2F08%3APU79548" target="_blank" >RIV/00216305:26110/08:PU79548 - 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 networks for identification of fibre-reinforced concrete
Original language description
The aim of the paper is to introduce methodology of parameters identification of material models for fibre-reinforced concrete. Such model often contains number of parameters which has to be corectly identified in order to carry out accurate numerical analysis, One of the possibilities is to use identification technique based on artificial neural networks in combination with stochastic analysis.
Czech name
Artificial neural networks for identification of fibre-reinforced concrete
Czech description
The aim of the paper is to introduce methodology of parameters identification of material models for fibre-reinforced concrete. Such model often contains number of parameters which has to be corectly identified in order to carry out accurate numerical analysis, One of the possibilities is to use identification technique based on artificial neural networks in combination with stochastic analysis.
Classification
Type
D - Article in proceedings
CEP classification
JM - Structural engineering
OECD FORD branch
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Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2008
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
XIIth INTERNATIONAL CONFERENCE OF RESEARCH INSTITUTE OF BUILDING MATERIELS
ISBN
978-80-254-2029-4
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
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Publisher name
Neuveden
Place of publication
Telč, Česká republika
Event location
Telč
Event date
Jun 3, 2008
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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