基于支持向量机的瓦斯隧道揭煤施工突出危险性预测  

Support Vector Machine-based Prediction of Protrusion Hazard of Coal Uncovering Construction in Gas Tunnels

作　　者：苗德华 刘锟林 Miao Dehua;Liu Kunlin(School of Resource,Environment and Safety Engineering,Hu'nan University of Science and Technology,Hu'nan,411201;Southwest Branch of Zhejiang Jiaogong Group Co.,Ltd.,Guizhou,550001)

机构地区：[1]湖南科技大学资源环境与安全工程学院,湖南411201 [2]浙江交工集团股份有限公司西南分公司,贵州550001

出　　处：《当代化工研究》2023年第23期11-13,共3页Modern Chemical Research

摘　　要：隧道穿越含瓦斯煤层施工过程中的突出风险一直是瓦斯隧道施工的难题。本文首先统计分析了2001—2021年我国瓦斯隧道揭煤施工事故,辨识出对隧道揭煤施工突出风险有影响的主要因素,随后通过文献查阅等方式构建了53个样本集,最后运用支持向量机(SVM)方法对揭煤施工突出危险性进行预测研究。The protrusion risk during the construction of tunnels through gas-bearing coal seams has been a difficult problem in gas tunnel construction.In this paper,we firstly analyzed the accidents of coal uncovering in gas tunnels in China from 2001 to 2021,and identified the main factors that have influence on the protrusion risk of coal uncovering in tunnels,then we constructed 53 sample sets by literature review,and finally used the support vector machine(SVM)method to predict the protrusion risk of coal uncovering.

关 键 词：瓦斯隧道 断面面积 支持向量机 隧道揭煤 

分 类 号：U455.49[建筑科学—桥梁与隧道工程]