This repository contains the code, data, and documentation for me and my colleagues graduation project. The goal of this project is to develop a deep learning model that estimates the break size of a loss of coolant accident (LOCA) by inputting post-loca parameters to the model.
- /src/: Source code files
- /data/: Data used in this project
- /docs/: Dissertation, Reports and Images
- /results/: Contains the outputs discussed in the dissertation
The requirements file should be enough for all the necessary libraries, use 'pip instasll -r requirements.txt'
Running main.py should be enough to reproduce the results provided in the results folder.
If you use this repository in your research, or any of the ideas proposed in the associated dissertation, please cite it as follows:
Badr, Y., Hamdy, M., Mohsen, I., Nazef, A., El-Gendy, A., Radwan, H., Mohamed, R., Reyad, R., & Abdel-Badee, M. (2024). DEEP LEARNING MODEL APPLIED TO LOSS OF COOLANT ACCIDENT ANALYSIS. Zenodo. https://doi.org/10.5281/zenodo.13321718
@misc{deep_learning_LOCA_2024, title = {DEEP LEARNING MODEL APPLIED TO LOSS OF COOLANT ACCIDENT ANALYSIS}, author = {Youssef Badr, Mai Hamdy, Ibrahim Mohsen, Ahmed Nazef, Alaa El-Gendy, Hassan Radwan, Rawda Mohamed, Reyad Reyad, Mohamed Abdel-Badee}, year = {2024}, publisher = {Zenodo}, doi = {10.5281/zenodo.13321718}, url = {https://doi.org/10.5281/zenodo.13321718} }
This repository is under the GNU GENERAL PUBLIC LICENSE. Please carefully read the License before usage.