›› 2006, Vol. 27 ›› Issue (6): 1000-1004.

• Fundamental Theroy and Experimental Research • Previous Articles     Next Articles

Forecasting model of safe thickness for roof of karst cave tunnel based on support vector machines

WANG Yong, QIAO Chun-sheng, SUN Cai-hong, LIU Kai-yun   

  1. College of Civil and Architecture Engineering, Beijing Jiaotong University, Beijing 100044, China
  • Received:2004-09-15 Online:2006-06-10 Published:2013-11-14

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Abstract: Taking some tunnel as the background. and by using FEM numerical simulation , the factors affecting the safe thickness of roof of karst cave are analysed; and forecasting model of safe thickness of roof is obtained by support vector machines (SVM) and stepwise regression analysis.The result of calculation indicates that, SVM forecasting model not only has the advantages of convenience and swiftness compared with the linear regression model, but also has higher precision of prediction.

Key words: karst tunnel, FEM, safe thickness, support vector machines (SVM), forecasting model

CLC Number: 

  • TU 94
  • Please send e-mail to pingzhou3@126.com if you would like to read full paper in English for free. Parts of our published papers have English translations.
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