基于因子分析与Fisher判别分析法的隧洞围岩分类研究

doi:10.3969/j.issn.1002-0268.2015.07.016

Abstract
Figure/Table
References (0)
Related Citation (15)

Abstract To forecast the tunnel surrounding rock category quickly and effectively and to enhance the stability of underground engineering and security, we apply theory of factor analysis and Fisher discriminant analysis. In addition, six indicators, namely, rock quality, integrity, saturated uniaxial compressive strength, longitudinal wave velocity, elastic resistance coefficient, and structure surface friction factor, were selected as discriminant factors in Fisher's discriminant analysis. A Fisher prediction model based on factor analysis was built to predict the tunnel surrounding rock category. Thirty groups of tunnel surrounding rock data in the survey site were used as learning samples for the training. The resubstitution method was used to test the model, which yielded a 96.7% accuracy. The established discriminant model was used in an engineering application and used six sets of engineering data as test samples to forecast the classification of tunnel surrounding rock. We also compared this model simultaneously with the neural network and Bayes methods. The factor analysis can effectively extract the surrounding rock classification index and remove the redundant factors. Fisher's discriminant model based on factor analysis can effectively predict the tunnel surrounding rock category with 100% prediction accuracy.

Key words： tunnel engineering classification rocks surrounding tunnel Fisher discriminant model simultaneously factor analysis

Received: 27 August 2015

Fund:Supported by the National Natural Science Foundation of China (No.71371091); the Colleges and Universities Outstanding Young Scholar Growth Program of Liaoning Province (No.LJQ2012027)

	Service

	E-mail this article
	Add to my bookshelf
	Add to citation manager
	E-mail Alert
	RSS
	Articles by authors
	SHAO Liang-shan
	XU bo

Cite this article:

SHAO Liang-shan,XU bo. Classification of Rocks Surrounding Tunnel Based on Factor Analysis and Fisher Discriminant Analysis[J]. Journal of Highway and Transportation Research and Development, 2015, 9(4): 50-57.

URL:

http://manu27.magtech.com.cn/Jwk_gljtkj_en/EN/10.3969/j.issn.1002-0268.2015.07.016 OR http://manu27.magtech.com.cn/Jwk_gljtkj_en/EN/Y2015/V9/I4/50

[1] LI Zhi-da,HUANG Bin,WANG Hua-ping,et al.Highway Tunnel Primary Support Structure and Surrounding Rock Characteristic Analysis[J].Journal of Wuhan University of Science and Technology:Transportation Science and Engineering Edition,2011,35(2):219-222. (in Chinese)
[2] BARTON N.Rock Mass Classification and Tunnel Reinforcement Selection Using the Q-system[C]//Symposium on Rock Classification Systems for Engineering Purposes. Cincinnati, Ohio:American Society for Testing and Materials,1988:59-88.
[3] BIENIAWSKI Z T.Engineering Rock Mass Classification a Complete Manual for Engineers and Geologists in Mining,Civil and Petroleum Engineering[M].Wiley:Interscience Publication,1989.
[4] CHEN Qiu-nan.Tunnel Engineering[M].Beijing:Mechanical Industry Press,2005.(in Chinese)
[5] ZHENG Jun-jie,LIN Chi-feng,ZHAO Dong-an,et al.Shield Tunnel Construction Cost Risk Assessment Based on the Fuzzy Fault Tree[J].Chinese Journal of Geotechnical Engineering,2011,33(4):501-508.(in Chinese)
[6] WANG Xiao-rui,WANG Yuan-han,ZHANG Shi-hai.Study on Synthetic Judge System of Fuzzy Reasoning Applied to Intellectual Classification of Tunnel Surrounding Rock[J].Journal of Highway and Transportation Research and Development,2009,26(3):100-104.(in Chinese)
[7] DUAN Lin-di,SONG Cheng-hui.Application of BP Neural Network for Fast Classification of Surrounding Rock Tunnel[J].China Safety Science Journal,2010,20(2):41-45,177.(in Chinese)
[8] FAN Jia-dong,HAN Li-jun.Classification of Surrounding Rock Based on Methods of Ridge Regression and Mahalanobis Distance Criterion[J].Journal of Wuhan University of Science and Technology:Transportation Science and Engineering Edition,2014,38(1):199-203.(in Chinese)
[9] LI Xiao-jing,ZHU Wei-shen,CHEN Wei-zhong,et al.Determining Weights of Factors in Stability Analysis of Underground Caverns by Analytic Hierarchy Process[J].Journal of Rock Mechanics and Engineering,2004,23(S2):4731-4734.(in Chinese)
[10] WEN Chang-ping.Bayes Discriminant Analysis Method of Rock-Mass Quality Classification[J].Journal of China Coal Society,2008,33(4):395-399.(in Chinese)
[11] WANG Ying-chao,SUN Hong-yue,SHANG Yue-quan,et al.Classification of Surrounding Rock Based on Delphi Method and Ideal Point Method[J].Chinese Journal of Geotechnical Engineering,2010,32(4):651-656.(in Chinese)
[12] SU Yong-hua,MA Ning,HU Jian.Classification of Tunnel Surrounding Rock Based on Small Sample Statistical Theory[J].Journal of Highway and Transportation Research and Development,2010,27(8):66-69,80.(in Chinese)
[13] YU Wei-jian,GAO Qian,HAN Yang,et al.Non-linear Coupling Classification Technique of Surrounding Rock Mass and Its Application in Jingchuan Mine[J].Chinese Journal of Geotechnical Engineering,2008,30(5):663-669.(in Chinese)
[14] MA Qing-guo.Statistics for Managers[M].Beijing:Science Press,2008:308-335.(in Chinese)
[15] LI Wei-dong.Applied Multivariate Statistics Analysis[M].Beijing:Peking University Press,2008:342-368.(in Chinese)
[16] YU Xiu-lin.Multivariate Statistical Analysis[M].Beijing:China Statistics Press,2002:125-128.(in Chinese)
[17] ZHOU Jian,SHI Xiu-zhi.Fisher Discriminant Analysis Method for Prediction of Classification of Rock Burst Risk[J].Journal of China Coal Society,2010,35(S1):22-27. (in Chinese)
[18] ZHOU Cui-ying,ZHANG Liang,HUANG Xian-yi.Tunnel Surrounding Rock Classification Based on the Improved BP Network Algorithm[J].Earth Science-Journal of China University of Geosciences,2005,30(4):480-486. (in Chinese)
[19] SL279-2001,Code For Design of Road Tunnel[S].(in Chinese)
[20] JIANG Chun-lu,JIANG Zhen-quan,SUN Qiang.Tunnel Surrounding Rock Classification Based on Fisher Discriminant Analysis[J].Journal of China Coal Society,2012,37(10):1665-1670.(in Chinese)
[21] GB50218-94,Standard for Engineering Classification of Rock Mass[S]. (in Chinese)
[22] SHAO Liang-shan, ZHAO Lin-lin.Rotation Forest Analysis Model and Its Application to Predicting Residential House's Damage against Blasting Vibration of Open Pit Mining[J].China Safety Science Journal,2013,23(2):58-63. (in Chinese)