关于人工智能在预测建筑材料火灾性能及其阻燃性方面的应用综述。

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

机构信息

Department of Infrastructure Engineering, School of Engineering, RMIT University, GPO Box 2476, Melbourne, VIC 3001, Australia.

Manufacturing, Materials and Mechatronics, School of Engineering, RMIT University, GPO Box 2476, Melbourne, VIC 3001, Australia.

出版信息

Molecules. 2021 Feb 15;26(4):1022. doi: 10.3390/molecules26041022.

DOI:10.3390/molecules26041022

PMID:33672068

原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7919694/

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.

摘要

对建筑材料在火灾条件下的行为进行评估和解释一直很复杂。在过去的几年中，人工智能（AI）已成为解决这一工程问题的可靠方法。本综述总结了现有的应用 AI 预测不同建筑材料（如混凝土、钢、木材和复合材料）火灾性能的研究。还讨论了利用基于 AI 的模型预测梁、柱、板和连接等一些结构构件的阻燃性。本综述的结尾提供了关于使用 AI 技术评估建筑材料及其阻燃性的优点、现有挑战和建议的见解。本综述为火灾工程和材料科学领域的研究人员提供了全面的概述，并鼓励他们在未来的研究项目中探索和考虑使用 AI。