Open Access
| Issue |
EPJ Web Conf.
Volume 343, 2025
1st International Conference on Advances and Innovations in Mechanical, Aerospace, and Civil Engineering (AIMACE-2025)
|
|
|---|---|---|
| Article Number | 05002 | |
| Number of page(s) | 8 | |
| Section | Artificial Intelligence & Machine Learning in Engineering | |
| DOI | https://doi.org/10.1051/epjconf/202534305002 | |
| Published online | 19 December 2025 | |
- Basaran, B., Kalkan, I., Bergil, E., and Erdal, E. (2021). "Estimation of the FRP-concrete bond strength with code formulations and machine learning algorithms." Compos. Struct., 268, 113972. [CrossRef] [Google Scholar]
- Baghaei, K. A., and Hadigheh, S. A. (2021). "Durability assessment of FRP-to-concrete bonded connections under moisture condition using data-driven machine learning-based approaches." Compos. Struct., 114576. [Google Scholar]
- Li, R., Liu, L., and Cheng, M. (2022). "Estimating the bond strength of FRP bars using a hybrid machine learning model." Buildings, 12(10), 1654. [Google Scholar]
- Zhang, P. F., Zhang, D., Zhao, X. L., Zhao, X., Iqbal, M., Tuerxunmaimaiti, Y., and Zhao, Q. (2024). "Natural language processing-based deep transfer learning model across diverse tabular datasets for bond strength prediction of composite bars in concrete." Comput. Civ. Infrastruct. Eng. [Google Scholar]
- Kumar, A., Arora, H. C., Kumar, P., and Nehdi, M. L. (2024). "Automated explainable ensemble learning prediction of FRP-bar-to-concrete bond strength and failure pattern under diverse exposure scenarios." Constr. Build. Mater., 445, 137840. [Google Scholar]
- Tang, Y., Zhou, C., Wang, W., Zhang, W., and Cheng, Y. (2024). "Machine learning driven bond performance prediction between FRP bars and coral aggregate concrete." Constr. Build. Mater., 442, 137684. [Google Scholar]
- Bolandi, H., Banzhaf, W., Lajnef, N., Barri, K., & Alavi, A. H. (2019). An intelligent model for the prediction of bond strength of FRP bars in concrete: a soft computing approach. Technologies, 7(2), 42. [Google Scholar]
- Al-Hamd, R. K. S., Albostami, A. S., Alzabeebee, S., & Al-Bander, B. (2024). An optimized prediction of FRP bars in concrete bond strength employing soft computing techniques. Journal of Building Engineering, 86, 108883. [Google Scholar]
- Nassif, N., Talha Junaid, M., Maalej, M., Altoubat, S., Barakat, S., & Metawa, A (2025). Fiber-Reinforced Polymer (FRP) Bar Bond Strength Prediction Using SHapley Additive exPlanations (SHAP)-Optimized Artificial Neural Network (ANN). In CISSC 2025 (pp. 102–110). [Google Scholar]
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.