This repository contains preliminary code, datasets, and additional resources for an ongoing study on the long-term dynamic performance of a pultruded GFRP structure subjected to high humidity, moderate temperature, and mildly alkaline conditions. The work builds upon the framework proposed by Liu, Liu, and Feng (2022). Feedback and collaboration are welcome as results are being refined.
- Active branch:
main
Used for stable releases.
This work is licensed under GPL-3.0 with additional attribution requirements.
While our manuscript is under review, please cite this repository:
@software{frp-aging-xgboost,
author = {Pereira, João Paulo D. de S.},
title = {{XGBoost-based prediction of residual properties of aged FRP composites}},
url = {https://github.com/pereira-joao-paulo/frp-aging-xgboost},
year = {2025},
note = {Article citation will be added upon publication}
}We appreciate being informed of how this code is being used. For questions, feedback, or to share your case, feel free to reach out at jp_dias@id.uff.br.