Data and code pertaining to “CGAN-Based Prediction on Underwater Explosion Response of Hull Side Panel Structures”
Abstract
This dataset contains the raw data, processed data, and source code used in the study "CGAN-Based Prediction on Underwater Explosion Response of Hull Side Panel Structures". The code is written in Python and includes training scripts for the Conditional Generative Adversarial Network (CGAN), pre-trained model weights, and output figures. The data are stored in .csv and .npy formats. The dataset supports the replication of all figures and tables in the associated publication.
Fields of Study & Subjects
Structural Response to Dynamic Loads
Model Reduction and Neural Networks
Underwater Acoustics Research
Publication details
- Journal / source
- 4TU.ResearchData
- Publication date
- 9 March 2026
- Language
- EN
- Document type
- Dataset