安全与环境工程2025，Vol.32Issue(5)：66-79,14.DOI:10.13578/j.cnki.issn.1671-1556.20250424
基于FM-CM-FCE的深埋TBM隧道岩爆预警方法
Early warning method for rockburst in deep TBM tunnels based on FM-CM-FCE
摘要
Abstract
Rockburst disasters have become a critical factor hindering the safe construction of deep underground projects.To address the complex factors affecting rockbursts in deeply buried tunnel boring machine(TBM)tunnels,the challenges of quantification,weak adaptability of index weights,and insufficient randomness in fuzzy evaluation membership degrees,an early warning method for rockbursts in deeply buried TBM tunnels was developed.Firstly,a database was established based on multiple cases of deeply buried TBM tunnel projects.Then,using filter methods feature selection techniques including correlation coefficient methods,mutual information methods,and ReliefF,a multi-source rockburst early warning index system was screened and constructed.Next,an adaptive weight adjustment strategy and dynamic update mechanism based on correlation theory were proposed,and a fuzzy membership cloud model was established by combining the cloud model(CM)and fuzzy comprehensive evaluation(FCE)theory.Finally,the method was applied in a deeply buried TBM tunnel in western China to verify its accuracy.The results show that the early warning method can significantly improve the accuracy of rockburst risk prediction,providing reliable technical support for the safe construction of deeply buried TBM tunnels.关键词
全断面隧道掘进机(TBM)/岩爆预警/过滤式方法(FM)/模糊综合评价(FCE)/云模型(CM)Key words
tunnel boring machine(TBM)/rockburst early warning/filter method(FM)/fuzzy comprehensive evaluation(FCE)/cloud model(CM)分类
资源环境引用本文复制引用
肖华波,赵龙翔,陈靖文,石伟明,肖枫,刘仕勇,邓益..基于FM-CM-FCE的深埋TBM隧道岩爆预警方法[J].安全与环境工程,2025,32(5):66-79,14.基金项目
国家自然科学基金项目(42177168) （42177168）
湖北省杰出青年基金项目(2024AFA068) （2024AFA068）
