Predicting Model of Safe Distance Between Tunnel and Karst Cave

被引：0
|
作者：
Lai, Yongbiao [1 ,2 ]
Wang, Mengshu [1 ]
Bai, Chenguang [2 ]
机构：
[1] Beijing Jiaotong Univ, Coll Civil Architecture & Engn, Beijing 100044, Peoples R China
[2] China State Construction Engn Corp Tech Ctr, Beijing 101300, Peoples R China
来源：
MECHANICAL ENGINEERING, MATERIALS SCIENCE AND CIVIL ENGINEERING II | 2014年 / 470卷
关键词：
Concealed Karst Cave; Safe Distance; predicting model; support vector machine;
D O I：
10.4028/www.scientific.net/AMM.470.862
中图分类号：
TU [建筑科学];
学科分类号：
0813 ;
摘要：
A method of predicting safe distance between tunnel and karst cave based on support vector machine was proposed, 10 parameters(rock density gamma, elasticity modulus E, poisson ratio mu, friction angle phi, cohesion C, lateral pressure coefficient lambda, the karst cave span L, rate between height and span of the Karst cave R, tunnel deep H, cave position) were chosen for safe distance influence factors, then an intelligent predicting model of safe distance between tunnel and karst cave was built, this predicting model can predict 7 kinds position of safe distance between tunnel and concealed karst cave and was feasible and high prediction precision, which was verified by engineering example.
引用
收藏
页码：862 / +
页数：2
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