In this paper, we propose an innovative machine learning approach for predicting
overpressure wave propagation generated by Boiling Liquid Expanding Vapor Explosion …

Abstract Boiling Liquid Expanding Vapour Explosions (BLEVEs) are driven by complex fluid
dynamics with expanded vapour and flashed liquid. They may generate strong shock waves …

Accurate prediction of blast loading from accidental hydrogen-air cloud explosion is critical
for the planning, design, and operation of the hydrogen industry. This study proposes an …

Liquified gases are expected to play the significant roles in the context of urban energy
transition. However, the accidental release of liquified gases induces a flammable vapor …

Prediction of structural responses is essential for the analysis of structural behaviour
subjected to dynamic loads. Existing approaches are limited in different ways. Experimental …

Machine learning is an essential discipline in artificial intelligence & image processing
because it affects item/object or asset recognition or identification processes. It employs …

Accurate prediction of blast-induced fragmentation in reinforced concrete (RC) structures is
pivotal for structural debris hazard assessment in an explosion event. This assessment is …

Machine learning (ML) methods are becoming more prominent in blast engineering
applications, with their adaptability to new scenarios and rapid computation times providing …

The effects of blast waves and their consequent damage to structures have been an
increasingly popular research topic in the past decade. Various methods are used in blast …

As a crucial load-bearing component of the cable-stayed bridge, the cable requires surface
defect detection to maintain its safety. The current deep-learning-based stay-cable surface …