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Review on the Use of Artificial Intelligence to Predict Fire Performance of Construction Materials and Their Flame Retardancy

journal contribution
posted on 2024-11-02, 16:31 authored by Thai Hoang Nguyen, Thuy NguyenThuy Nguyen, Tu LeTu Le, Guomin ZhangGuomin Zhang
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 emerged as a reliable method to tackle this engineering problem. This review summarizes existing studies that applied AI to predict the fire performance of different construction materials (e.g., concrete, steel, timber, and composites). The prediction of the flame retardancy of some structural components such as beams, columns, slabs, and connections by utilizing AI-based models is also discussed. The end of this review offers insights on the advantages, existing challenges, and recommendations for the development of AI techniques used to evaluate the fire performance of construction materials and their flame retardancy. This review offers a comprehensive overview to researchers in the fields of fire engineering and material science, and it encourages them to explore and consider the use of AI in future research projects.

History

Related Materials

  1. 1.
    DOI - Is published in 10.3390/molecules26041022
  2. 2.
    ISSN - Is published in 14203049

Journal

Molecules

Volume

26

Number

1022

Issue

4

Start page

1

End page

28

Total pages

28

Publisher

MDPI AG

Place published

Switzerland

Language

English

Former Identifier

2006105824

Esploro creation date

2022-10-28

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