中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Regression model for predicting tunnel strain in strain-softening rock mass for underground openings

文献类型:期刊论文

作者Cui, Lan; Sheng, Qian; Zheng, Jun-jie; Cui, Zhen; Wang, An; Shen, Qiang
刊名INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES
出版日期2019
卷号119期号:-页码:81-97
关键词Tunnel strain Geological strength index Regression analysis Strain-softening behaviour Underground opening
ISSN号1365-1609
DOI10.1016/j.ijrmms.2019.04.014
英文摘要Regression analysis method has been extensively used to predict tunnel during excavations. This paper applies the method to solve for the tunnel strain for a circular opening in a strain-softening rock mass. Support pressure, in-situ stress and geological strength index (GSI) are three important geological parameters that are simultaneously considered in evaluating tunnel strain. A numerical procedure of the strain-softening rock mass is incorporated to solve for tunnel strain with a series of GSI, in-situ stress and support pressure. A detailed result of the tunnel strain is solved using the repeated numerical procedures. A nonlinear regression model for predicting tunnel strain is obtained through analysing the result with the regression method. Twelve fitting equations are considered in the regression model, correlating the tunnel strain with the support pressure, GSI, initial stress and critical softening parameters. The analysis framework is validated by comparing the calculated tunnel strain to that predicted by existing studies. The influence of the critical softening parameter on tunnel strain and the radius of the plastic zone are investigated. The response surfaces of tunnel strain versus the initial stress and support pressures for different rock mass qualities with various softening behaviours are also analysed. Then a guidance of the support design is derived based on the regression model and is demonstrated in an actual tunnel case with field measurements.
WOS研究方向Engineering ; Mining & Mineral Processing
语种英语
WOS记录号WOS:000472023100008
源URL[http://119.78.100.198/handle/2S6PX9GI/14955]  
专题岩土力学所知识全产出_期刊论文
国家重点实验室知识产出_期刊论文
作者单位1.Chinese Acad Sci, Inst Rock & Soil Mech, State Key Lab Geomech & Geotech Engn, Wuhan 430071, Hubei, Peoples R China;
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China;
3.Huazhong Univ Sci & Technol, Inst Geotech & Construct Engn, Wuhan 430074, Hubei, Peoples R China;
4.Power China Huadong Engn Corp Ltd, Hangzhou 311122, Zhejiang, Peoples R China
推荐引用方式
GB/T 7714
Cui, Lan,Sheng, Qian,Zheng, Jun-jie,et al. Regression model for predicting tunnel strain in strain-softening rock mass for underground openings[J]. INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES,2019,119(-):81-97.
APA Cui, Lan,Sheng, Qian,Zheng, Jun-jie,Cui, Zhen,Wang, An,&Shen, Qiang.(2019).Regression model for predicting tunnel strain in strain-softening rock mass for underground openings.INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES,119(-),81-97.
MLA Cui, Lan,et al."Regression model for predicting tunnel strain in strain-softening rock mass for underground openings".INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES 119.-(2019):81-97.

入库方式: OAI收割

来源:武汉岩土力学研究所

浏览0
下载0
收藏0
其他版本

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。