Structural fires continue to pose a great threat towards human life and property. Due to the
complexity and non-deterministic characteristics of a building fire disaster, it is not a …

Abstract Machine learning (ML) continues to rise as an effective and affordable method of
tackling engineering problems. Unlike other disciplines, the integration of ML into structural …

Structural fires in buildings are a persistent hazard in modern infrastructure and a potential
threat to occupants and firefighters alike. In the pre-construction phases of building design …

Empirical modelling of fire behaviour based on field data has resulted in significant
advances in forest fire science and produced numerous research and operational decision …

The work of the fire service has changed during the last decades from being essentially
operational to include a larger variety of activities to increase fire safety in society. Also, the …

Risk-based design and assessment methods are gaining popularity in performance-based
structural fire engineering. These methods usually start by defining a set of hazard scenarios …

Computational fluid dynamics (CFD) is an important tool in fire safety engineering. CFD is
applied in many projects while the global trend is moving towards the implementation of …

This paper proposes part of a framework for the development of a risk assessment
methodology to quantify the life safety risk of building occupants in the context of fire safety …

Artificial intelligence (AI) is referred to as the intelligence developed by machines with
mathematical modeling. In particular, AI is manifested by machine's ability to effectively …

More than 1300 new buildings over 200 m tall have been built since the year 2000,
representing 80% of the total number of supertall buildings globally. The proliferation of such …