Issue |
MATEC Web Conf.
Volume 398, 2024
2nd International Conference on Modern Technologies in Mechanical & Materials Engineering (MTME-2024)
|
|
---|---|---|
Article Number | 01035 | |
Number of page(s) | 12 | |
DOI | https://doi.org/10.1051/matecconf/202439801035 | |
Published online | 25 June 2024 |
A Theoretical Model for Predicting Axial Compressive Strain of FRP-Confined Concrete
Department of Civil Engineering, University of Engineering and Technology, Taxila, 47050, Pakistan.
* shaheertariq103@gmail.com
# musasaleem3@gmail.com
** abdullahhaider1890@gmail.com
+ 20-ce-119@students.uettaxila.edu.pk
## syedriyan296@gmail.com
~ ali.raza@uettaxila.edu.pk
The axial compressive strength and strain of structural elements made of reinforced concrete are enhanced by the external confinement provided by fiber-reinforced polymer (FRP) sheets. There is still a need for more research into estimating axial compressive strain even though numerous studies have suggested analytical approaches to predict the axial compressive strength of concrete structural elements. This is a result of earlier strain models’ inadequate accuracy. Furthermore, rudimentary modelling techniques and small, noisy databases were used in the development of these models. To suggest a more realistic strain model and compare it with earlier models, a more rigorous methodology is therefore required. The goal of this study is to present a strain model for FRP-confined concrete members by analytical modeling based on a large database containing 570 sample points. When the models were assessed using statistical parameters, it was discovered that the estimations of the freshly proposed models were more accurate than those of the previous models. The estimations’ relative study provides significant support for the recommended analytical model’s applicability and accuracy in forecasting the axial-strain of CFRP-confined concrete compression members.
Key words: confined concrete / CFRP / axial strain / analytical model / strain model / database
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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