Soft computing-based calibration of microplane M4 model parameters: Methodology and validation
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21110%2F14%3A00214185" target="_blank" >RIV/68407700:21110/14:00214185 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1016/j.advengsoft.2014.01.013" target="_blank" >http://dx.doi.org/10.1016/j.advengsoft.2014.01.013</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.advengsoft.2014.01.013" target="_blank" >10.1016/j.advengsoft.2014.01.013</a>
Alternative languages
Result language
angličtina
Original language name
Soft computing-based calibration of microplane M4 model parameters: Methodology and validation
Original language description
Constitutive models for concrete based on the microplane concept have repeatedly proven their ability to well-reproduce non-linear response of concrete on material as well as structural scales. The major obstacle to a routine application of this class ofmodels is, however, the calibration of microplane-related constants from macroscopic data. The goal of this paper is twofold: (i) to introduce the basic ingredients of a robust inverse procedure for the determination of dominant parameters of the M4 model proposed by Bažant et al. (2000) based on cascade artificial neural networks trained by evolutionary algorithm and (ii) to validate the proposed methodology against a representative set of experimental data. The obtained results demonstrate that the soft computing-based method is capable of delivering the searched response with an accuracy comparable to the values obtained by expert users.
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
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
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Advances in Engineering Software
ISSN
0965-9978
e-ISSN
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Volume of the periodical
72
Issue of the periodical within the volume
June
Country of publishing house
GB - UNITED KINGDOM
Number of pages
10
Pages from-to
226-235
UT code for WoS article
000335707200024
EID of the result in the Scopus database
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