A significant amount of scientific effort has been dedicated to measuring and understanding
the effects of explosions, leading to the development of semi-empirical methods for rapid …

Urban blasts have become a significant concern in recent years. Whilst free-field blasts are
well understood, the introduction of an urban setting (or any complex geometry) gives rise to …

In this paper, we present a rigorous comparative study to assess and identify the most
effective machine learning model for blast loading prediction. Blast loads are known to …

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

A growing interest for the design of structures to sustain blast-induced loads has been
observed in recent years as a result of the worldwide rise of terrorist bombing attacks. The …

The axial load-carrying column is commonly considered as the most critical component in
RC structure. To determine the failure characteristics of the RC column under the combined …

Background: The design and analysis of protective systems requires a detailed
understanding of, and the ability to accurately predict, the distribution of pressure loads …

Recent experimental work by the current authors has provided highly spatially and
temporally resolved measurements of the loading imparted to, and the subsequent dynamic …

Quantification of near-field blast loading is a pressing issue for defence, transport security,
and structural engineering. Realistic explosion scenarios often involve the detonation of non …

Explosive loading in a confined internal environment is highly complex and is driven by
nonlinear physical processes associated with reflection and coalescence of multiple shock …