Load Prediction Model of Accidental Hydrogen Explosion

Abstract

This thesis investigates hydrogen explosion hazards and develops predictive models to improve safety assessment and structural resilience. A combination of CFD simulations, machine learning, and analytical methods is used to estimate key blast parameters with high accuracy. The study also proposes a novel model for liquid hydrogen BLEVE scenarios. These contributions support safer hydrogen infrastructure design and risk mitigation, facilitating the broader adoption of hydrogen as a clean energy carrier.