模糊聚类在不良地质洞段红外探水中的应用  

Application of Fuzzy Clustering in Infrared Water Detecting in Defective Geological Section of Tunnel

作　　者：张雪峰[1] 叶祖圣 

机构地区：[1]北京工业大学城市与工程安全减灾教育部重点实验室,北京100124 [2]中铁十九局集团第二工程有限公司,辽宁辽阳111000

出　　处：《防灾减灾工程学报》2010年第6期698-701,共4页Journal of Disaster Prevention and Mitigation Engineering

基　　金：国家科技支撑计划项目(2006BAJ27B04)资助

摘　　要：在玉昆铁路柿花树隧道不良地质发育的洞段进行红外探水工作期间,常用的分析方法有时无法预判掌子面前方是否存在隐伏水体或含水构造。为了提高红外探水短距离预报的准确率,用模糊聚类法将掌子面测点场强的数据分类,根据开挖传递的地质信息,研究模糊聚类结果的变化规律、突水风险与岩体破碎程度之间的关系。实践证明,模糊聚类法和常用分析方法的结合,使红外探水取得了较好的预判效果。During infrared water detection in defective geological section in Shihuashu Tunnel of Yuxi-Kun-ming railway,the common analysis methods are inadequate for pre-judging whether concealed water or water -bearing structure exists in front of tunnel face.In order to improve the accuracy of infrared water detection in short distance prediction,fuzzy clustering is presented to classify field strength data of measured points on excavating face.The relationships among the change law of fuzzy clustering result,water inrush risk and rock crushing degree are researched based on the transferred geological information of tunnel excavation. The practice shows that combination of fuzzy clustering method and common methods makes infrared water detection work achieved better pre-judgment effects.

关 键 词：红外探水 隐伏水体 含水构造 模糊聚类 

分 类 号：P641[天文地球—地质矿产勘探] P631.7[天文地球—地质学]