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工程结构火灾响应监测与检测研究进展

董一川 姜健 王轶涵 陈伟 叶继红

建筑结构学报2026,Vol.47Issue(6):1-25,25.
建筑结构学报2026,Vol.47Issue(6):1-25,25.DOI:10.14006/j.jzjgxb.2025.0648

工程结构火灾响应监测与检测研究进展

Research progress on monitoring and detection of fire-induced structural responses of engineering structures

董一川 1姜健 1王轶涵 1陈伟 1叶继红1

作者信息

  • 1. 中国矿业大学 力学与土木工程学院,江苏 徐州 221008
  • 折叠

摘要

Abstract

Fire poses a significant threat to the safety of engineering structures,often leading to component failure and even structural collapse.Currently,there is a lack of a systematic monitoring and detection framework that encompasses fire evolution and structural damage.Achieving real-time perception during disasters and precise assessment post-disaster is crucial for enhancing the fire resistance and toughness of structures.In response to whole-process monitoring and detection demands of structural fires,structural damage and performance assessment are emphasized.Current structural fire safety regulations are reviewed,and the degradation of material properties and thermomechanical response mechanisms at high temperatures are examined.Research advances and extreme-environment applicability are summarized for monitoring and detection devices,including point sensors,distributed optical fibers,infrared thermography,and related techniques.The application of emerging artificial intelligence techniques to fire-induced damage identification and structural response prediction is also reviewed.The results indicate that different material systems exhibit distinct failure modes at high temperatures.Monitoring and detection techniques such as point sensors,optical fibers,and acoustic emission can support structural state perception and dynamic damage characterization at high temperatures,whereas detection accuracy and fire-scene durability require improvement.Computer vision,artificial intelligence,and digital twin technologies can be applied to structural damage identification and structural response prediction,but the generalization capability of intelligent algorithms remains to be enhanced.

关键词

工程结构/火灾响应/监测检测/灾后评估/人工智能/发展趋势

Key words

engineering structure/fire response/monitoring and detection/post-disaster assessment/artificial intelligence/development direction

分类

建筑与水利

引用本文复制引用

董一川,姜健,王轶涵,陈伟,叶继红..工程结构火灾响应监测与检测研究进展[J].建筑结构学报,2026,47(6):1-25,25.

基金项目

国家自然科学基金项目(52478571). (52478571)

建筑结构学报

1000-6869

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