Refining Crack Width Predictions in RC Beams Using FEM and Neural Network-Based Surrogate Models for Crack Band Size Estimation
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F28399269%3A_____%2F26%3AN0000002" target="_blank" >RIV/28399269:_____/26:N0000002 - isvavai.cz</a>
Result on the web
<a href="https://www.taylorfrancis.com/books/9781003660026/chapters/10.1201/9781003660026-76" target="_blank" >https://www.taylorfrancis.com/books/9781003660026/chapters/10.1201/9781003660026-76</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Refining Crack Width Predictions in RC Beams Using FEM and Neural Network-Based Surrogate Models for Crack Band Size Estimation
Original language description
Concrete cracking is analyzed using nonlinear fracture-mechanics-based constitutive models within a finite element framework. In such simulations, the predicted behavior of reinforced concrete is highly sensitive to the assumed crack spacing or crack band size, particularly when relatively large finite elements are employed. To alleviate this limitation, the present study introduces an approach in which artificial neural network surrogate models are used to estimate the crack spacing in reinforced concrete structures. Model uncertainties in terms of mean and maximum crack width are evaluated against a database of laboratory tests. The influence of reinforcement layout, geometric simplifications and mesh discretization on these uncertainties is examined. Overall, the proposed modelling strategy introduces an advanced tool for assessment of crack widths and mainly crack spacing in reinforced concrete structures at the serviceability limit state.
Czech name
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Czech description
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Classification
Type
O - Miscellaneous
CEP classification
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OECD FORD branch
20101 - Civil engineering
Result continuities
Project
<a href="/en/project/GA24-10892S" target="_blank" >GA24-10892S: Machine Learning for Multiscale Modelling of Spatial Variability and Fracture for Sustainable Concrete Structures</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2026
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů