Sequential simulation and neural network in the stress–strain curve identification over the large strains using tensile test
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F17%3APU123821" target="_blank" >RIV/00216305:26210/17:PU123821 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/s00419-017-1234-0" target="_blank" >http://dx.doi.org/10.1007/s00419-017-1234-0</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/s00419-017-1234-0" target="_blank" >10.1007/s00419-017-1234-0</a>
Alternative languages
Result language
angličtina
Original language name
Sequential simulation and neural network in the stress–strain curve identification over the large strains using tensile test
Original language description
Two alternative methods for the stress–strain curve determination in the large strains region are proposed. Only standard force–elongation response is needed as an input into the identification procedure. Both methods are applied to eight various materials, covering a broad spectre of possible ductile behaviour. The first method is based on the iterative procedure of sequential simulation of piecewise stress–strain curve using the parallel finite element modelling. Error between the computed and experimental force–elongation response is low, while the convergence rate is high. The second method uses the neural network for the stress–strain curve identification. Large database of force–elongation responses is computed by the finite element method. Then, the database is processed and reduced in order to get the input for neural network training procedure. Training process and response of network is fast compared to sequential simulation. When the desired accuracy is not reached, results can be used as a starting point for the following optimization task.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
20302 - Applied mechanics
Result continuities
Project
<a href="/en/project/LO1202" target="_blank" >LO1202: NETME CENTRE PLUS</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
ARCHIVE OF APPLIED MECHANICS
ISSN
0939-1533
e-ISSN
1432-0681
Volume of the periodical
87
Issue of the periodical within the volume
6
Country of publishing house
DE - GERMANY
Number of pages
17
Pages from-to
1077-1093
UT code for WoS article
000403361400010
EID of the result in the Scopus database
2-s2.0-85014578067