Using the inverse identification of parameters of a nonlinear concrete material model for analysis of RC structural element
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26110%2F19%3APU135802" target="_blank" >RIV/00216305:26110/19:PU135802 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1063/1.5114111" target="_blank" >http://dx.doi.org/10.1063/1.5114111</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1063/1.5114111" target="_blank" >10.1063/1.5114111</a>
Alternative languages
Result language
angličtina
Original language name
Using the inverse identification of parameters of a nonlinear concrete material model for analysis of RC structural element
Original language description
Finite element (FE) analyses of reinforced concrete (RC) structures or structural elements using nonlinear concrete material models are currently a subject of interest for many scientific institutions or departments. Obtaining of relevant results from such analyses depends on a number of aspects, including (for example) the level of complexity of the computational model used, correct boundary conditions, the correct definition of parameter values of the material models used, etc. A key aspect from the above-mentioned aspects is especially the problematic of the definition of correct parameter values of the used material models. Defining the correct parameter values of the material models is often a very difficult task because we usually do not have enough knowledges about the given parameters or their possible ranges. However, the current level of computational technology combined with the current state of knowledge in the fields of mathematical statistics, artificial neural networks and optimization allows us to successfully deal with the given task by so called inverse identification of parameters whose correct numerical values we need to obtain. The aim of this paper is to show the possibility of using the optimization-based inverse identification of parameter values of a nonlinear concrete material model for FE analysis of structural element which is a high RC beam subjected to a four-point bending. For this purpose, the results of the corresponding experiment are used.
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
20101 - Civil engineering
Result continuities
Project
<a href="/en/project/GA17-23578S" target="_blank" >GA17-23578S: Damage assessment identification for reinforced concrete subjected to extreme loading</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
AIP Conference Proceedings
ISBN
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ISSN
1551-7616
e-ISSN
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Number of pages
4
Pages from-to
1-4
Publisher name
Neuveden
Place of publication
Neuveden
Event location
Ixia, Rhodes
Event date
Sep 13, 2018
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000521108600122