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 world's present and future challenges are impacted by the climate change, more and
more limited access to resources along with the increase and aging of population. The …

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 …

Fire is a chaotic and extreme phenomenon. While the past few years have witnessed the
success of integrating machine intelligence (MI) to tackle equally complex problems 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 …

For decades, the community of fire safety engineers have been dedicated to applying
appropriate measures to improve the fire resistance of modern structures. However …

Concrete, a naturally resilient material, often undergoes a series of physio-chemical
degradations once exposed to extreme environments (eg, elevated temperatures). Under …

This paper presents the development of systematic machine learning (ML) approach to
enable explainable and rapid assessment of fire resistance and fire-induced spalling of …

This paper introduces a machine learning approach to address the challenge of limited data
resulting from costly and time-consuming fire experiments by enlarging small fire test data …