Special Issue on “Smart Systems in Fire Engineering”

Naser, M.Z.; Lautenberger, Chris; Kuligowski, Erica D.

doi:10.1007/s10694-021-01196-w

Cited by 5 publications

(1 citation statement)

References 19 publications

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“…Numerous new studies have emerged utilizing AI and machine learning tools, attempting to introduce the power of mechanized cognitive processes into their research. Researchers in the fields of fire engineering and heat transfer, despite showing a small delay in adopting such tools and methodologies [1], are now aware of the benefits that AI can bring to their work and have started exploring such technologies [2].…”

Section: Introduction 1motivation For This Reviewmentioning

confidence: 99%

Meta-Narrative Review of Artificial Intelligence Applications in Fire Engineering with Special Focus on Heat Transfer through Building Elements

Bakas

Kontoleon

2023

Fire

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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 delay in utilising machine learning and neural networks due to the shortfall of available computational power, a review of cutting-edge scientific research demonstrates that scientists are now exploring and routinely incorporating such systems in their research processes. As such, a considerable volume of new research is being produced comprising applications of AI in fire engineering. These findings and research questions ought to be summarised, organised, and made accessible for further investigation and refinement. The present study aims to identify recent scientific publications relating to artificial intelligence applications in fire engineering, with particular focus on those tackling the issue of heat transfer through building elements. The method of the meta-narrative review, as implemented in the field of medical advancement research, is discussed, adapted, and finally utilised to weave a narrative that enables the reader to follow the most recent, influential, and impactful works. Efforts are made to uncover trends in the search for heat transfer models and properties under fire loading using AI. The review concludes with our thoughts on how future research can enrich the current findings on heat transfer in buildings exposed to fire actions and elevated temperatures.

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Section: Introduction 1motivation For This Reviewmentioning

confidence: 99%

Meta-Narrative Review of Artificial Intelligence Applications in Fire Engineering with Special Focus on Heat Transfer through Building Elements

Bakas

Kontoleon

2023

Fire

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Fire and Smoke Image Recognition

Ko,

Hamed Mozaffari,

2024

Digital Innovations in Architecture, Engineering and Construction

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Demystifying Ten Big Ideas and Rules Every Fire Scientist & Engineer Should Know About Blackbox, Whitebox and Causal Artificial Intelligence

Naser

2022

Fire Technol

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Artificial intelligence (AI) is paving the way towards Fire 4.0, and the next few years will be elemental to how this technology transforms our academia, practice, and entrepreneurship. Despite the growing interest between fire researchers and practitioners, AI remains absent from our curriculum and we continue to lack a methodical framework to adopt, apply and create AI solutions suitable for our domain. To grow beyond the traditionally favored three-stepped linear process to AI (i.e., collect data fi apply algorithms fi arrive at predictions) and in pursuit of negating the notion of ''history repeats itself'' (e.g., look at the continued debate with regard to modernizing standardized fire testing, etc.), it is the motivation behind this letter to jump-start strategic discussions on the front of AI & Fire.In parallel, this letter intends to demystify some of the most fundamental concepts and to clear common misconceptions specific to AI on the frontier of fire. Broadly, this letter comprises two sections. The first section outlines big ideas pertaining to AI, and answers some of the burning questions with regard to the merit of adopting AI in our domain. The second section presents a set of rules 1 or technical recommendations an AI user may deem helpful to practice whenever AI is used as a method of investigation. The presented set of rules is complementary to the big ideas. One can think of this short letter as a companion to the Smart Systems in Fire Engineering special issue sponsored by Fire Technology [1]-where an

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Special Issue on “Smart Systems in Fire Engineering”

Cited by 5 publications

References 19 publications

Meta-Narrative Review of Artificial Intelligence Applications in Fire Engineering with Special Focus on Heat Transfer through Building Elements

Meta-Narrative Review of Artificial Intelligence Applications in Fire Engineering with Special Focus on Heat Transfer through Building Elements

Fire and Smoke Image Recognition

Demystifying Ten Big Ideas and Rules Every Fire Scientist & Engineer Should Know About Blackbox, Whitebox and Causal Artificial Intelligence

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