Predicting Penetration Depth in Ultra-High-Performance Concrete Targets under Ballistic Impact: An Interpretable Machine Learning Approach Augmented by Deep Generative Adversarial Network

Abstract

Author
Nashwan Adnan OTHMAN

DOI
https://doi.org/10.1016/j.rineng.2024.103909

ISSN

Publish Date: 2025-01-01