AI Based Surrogate Model for Nonlinear Modelling of Reinforced Concrete
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F28399269%3A_____%2F24%3AN0000005" target="_blank" >RIV/28399269:_____/24:N0000005 - isvavai.cz</a>
Alternative codes found
RIV/68407700:21230/24:00381125
Result on the web
—
DOI - Digital Object Identifier
—
Alternative languages
Result language
angličtina
Original language name
AI Based Surrogate Model for Nonlinear Modelling of Reinforced Concrete
Original language description
Surrogate models employing Artificial Intelligence (AI) and Artificial Neural Networks (ANNs) are being developed to enhance digital twins for structural health monitoring. Within this framework, the ANN-based surrogate model serves two key purposes. Initially, an ANN model is utilized during the calibration phase of the virtual twin, which is constructed using a nonlinear finite element model in ATENA software. Once calibrated, this virtual twin is employed to develop an ANN-based surrogate model. This model is instrumental in providing real-time, critical safety information essential for monitoring the structural health of bridges. This innovative approach has been implemented on pilot bridges in the Czech Republic.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
20102 - Construction engineering, Municipal and structural engineering
Result continuities
Project
<a href="/en/project/CK03000023" target="_blank" >CK03000023: Digital twin for increased reliability and sustainability of concrete bridges</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
20th fib Symposium Proceedings in Christchurch - ReConStruct - Resilient Concrete Structures
ISBN
978-294064325-7
ISSN
26174820
e-ISSN
—
Number of pages
10
Pages from-to
1998 -2008
Publisher name
fib. The International Federation for Structural Concrete
Place of publication
—
Event location
Christchurch, NZ
Event date
Nov 11, 2024
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—