Issue |
E3S Web Conf.
Volume 464, 2023
The 2nd International Conference on Disaster Mitigation and Management (2nd ICDMM 2023)
|
|
---|---|---|
Article Number | 06004 | |
Number of page(s) | 9 | |
Section | Public Health Risk, Including Covid-19 | |
DOI | https://doi.org/10.1051/e3sconf/202346406004 | |
Published online | 18 December 2023 |
Flexural capacity of negative moment region NSM-CFRP strengthened RC T-beam under high loading rate: an analytical prediction
1 Department of Civil Engineering, National Cheng Kung University, Tainan, Taiwan
2 Department of Civil Engineering, Universitas Jenderal Soedirman, Purbalingga, Indonesia
3 National Center for Research on Earthquake Engineering, Taipei, Taiwan
4 Department of Civil and Disaster Prevention Engineering, National United University, Miaoli, Taiwan
5 Department of Civil Engineering, Universitas Diponegoro, Semarang, Indonesia
6 Department of Electrical Engineering, Universitas Jenderal Soedirman, Purbalingga, Indonesia
* Corresponding author: yanuar.haryanto@unsoed.ac.id
In the design phase of strengthening a reinforced concrete (RC) beam, it is necessary to determine its capacity. Response-2000 software offers efficient analysis for determining the capacity of a beam, including its flexural capacity. The aim of this study is to assess the predictive accuracy of Response-2000 software in determining the flexural capacity of the negative moment region of NSM-FRP strengthened RC T-beams under high loading rates. The validation of the static material model was initially conducted and then several combinations of established empirical formulations were utilized to express the corresponding dynamic properties of relevant materials. The findings of the study suggest that the compressive and tensile strength of concrete have a significant impact on the flexural capacity of the strengthened beams. Furthermore, empirical evidence supports the idea that Response-2000 possesses the capability to effectively predict the flexural capacity, utilizing a rate-dependent material approach.
© The Authors, published by EDP Sciences, 2023
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.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.