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

Abstract

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.

Integrating ChatGPT, Bard, and Leading-Edge Generative Artificial Intelligence in Architectural Design and Engineering: Applications, Framework, and Challenges

“…The precise choice of materials plays a pivotal role in various sectors (Prieto et al, 2023;Pedro et al, 2023;Rane et al, 2023;Rane et al, 2023a;Patil and Rane, 2023;Rane et al, 2023b;Rane et al, 2023c). ChatGPT can aid in the selection process by furnishing information regarding the characteristics, expenses, and environmental repercussions of various materials (Oluleye et al, 2023;Stanev et al, 2021;Nguyen et al, 2021). Engineers and architects can engage in dialogues with the model to delve into optimal materials for specific applications, factoring in considerations such as resilience, sustainability, and cost-effectiveness (Roslon, 2022;Liu and Lin, 2021;.…”

Una revisión sobre el rol de la inteligencia artificial en la industria de la construcción

“…A pesar de ello el trabajo en la construcción muestra muchas fallas y deficiencias en los procesos, lo que ha conllevado el ingreso de nuevas tecnologías para acelerar los trabajos, donde la inteligencia artificial ha tenido un crecimiento dentro de la población (40) , asimismo (41) las nuevas innovaciones tienen muchas ventajas para evaluar el desempeño de los materiales, mano de obra y el proceso constructivo (42) de esta manera se puede contribuir con nuevas herramientas y una combinación de aprendizajes, conocimientos que abarca la inteligencia artificial.…”

Study on flame retardancy of EPDM reinforced by ammonium polyphosphate

“…Due to its good ame retardant ability, it is widely used in ame retardant treatments such as coatings, plastics, fabrics, and wood. 15,16 Compared with halogen ame retardants, APP has the advantages of low cost and low toxicity. Researchers have used APP to replace metal hydroxide ameretardant llers in epoxy resin to prepare ame-retardant composite materials, which reduced the density of the composite materials and achieved better ame-retardant effects.…”