Study of building configurations' fire performance has traditionally relied on sample or full‐
scale destructive testing. Use of the powerful simulation tools currently available, in …

The evaluation and interpretation of the behavior of construction materials under fire
conditions have been complicated. Over the last few years, artificial intelligence (AI) has …

With the ever-growing surge of new technologies, there seems to be an ongoing inertia
towards integrating automation and cognition into various engineering applications. Despite …

Artificial intelligence (AI) is a computational technique that exploits hidden patterns between
seemingly unrelated parameters to draw solution (s) to a given phenomenon. From this …

The structural fire engineering community has been slowly evolving over the past few
decades. While we continue to favor a classical stand toward evaluating fire resistance of …

The discipline of structural fire engineering (SFE) deals with the safe and efficient design of
structures against thermal exposure due to a fire in an internal or external environment. Most …

Despite calls to adopt performance-based solutions, the structural fire engineering
community continues to embrace a classical stance to tackle the problem of fire. In support of …

Featured Application The use of Artificial Neural Networks for the prediction of heat transfer
through a variety of masonry wall build-ups exposed to elevated temperatures οn one side …

Artificial intelligence (AI), as a research and analysis method, has recently been gaining
ground in the ever-evolving scientific field of fire engineering in buildings. Despite the initial …

Purpose Fire degradation is an extremely important risk that threatens timber structures. It is
therefore normal that timber design codes include provisions for the design and verification …