Fibre-reinforced cementitious composite: parameter identification using Ohno shear beam test
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26110%2F21%3APU155908" target="_blank" >RIV/00216305:26110/21:PU155908 - isvavai.cz</a>
Result on the web
<a href="https://iopscience.iop.org/article/10.1088/1757-899X/1205/1/012023/pdf" target="_blank" >https://iopscience.iop.org/article/10.1088/1757-899X/1205/1/012023/pdf</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1088/1757-899X/1205/1/012023" target="_blank" >10.1088/1757-899X/1205/1/012023</a>
Alternative languages
Result language
angličtina
Original language name
Fibre-reinforced cementitious composite: parameter identification using Ohno shear beam test
Original language description
Computational-experimental methodology based on artificial neural networks used to identify the material parameters of fibre-reinforced cementitious composite is presented and applied for Ohno shear beam test. The aim is to provide techniques for an advanced assessment of the mechanical fracture properties of these materials, and the subsequent numerical simulation of components/structures made from them. The paper describes the development of computational and material models utilized for efficient material parameter determination with regards to a studied composite. The data is used in inverse analysis based on artificial neural networks together with sensitivity analysis which plays an important role in the process. Developed software tool FRCID-S is also briefly described.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20100 - Civil engineering
Result continuities
Project
<a href="/en/project/GA19-09491S" target="_blank" >GA19-09491S: Multilevel determination of fracture–mechanical parameters for simulation of concrete structures (MUFRAS)</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
IOP Conference Series: Materials Science and Engineering
ISBN
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ISSN
1757-899X
e-ISSN
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Number of pages
8
Pages from-to
1-8
Publisher name
IOP PUBLISHING LTD
Place of publication
BRISTOL
Event location
Telč
Event date
Sep 29, 2021
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
001293892700023