ISSN 2096-4498

   CN 44-1745/U

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Tunnel Construction ›› 2021, Vol. 41 ›› Issue (S1): 207-.DOI: 10.3973/j.issn.2096-4498.2021.S1.026

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Penetration Prediction of Disc Cutter of Tunnel Boring Machine Based on Linear Regression Method

WANG Chao1, LIU Hongzhong2, WANG Lehu3, TAN Junkun1, CAI Ziyong1   

  1. 1. School of Civil Engineering, Central South University, Changsha 410075, Hunan, China; 2. Urban Rail and Underground Engineering Design and Research Institute, China Railway Siyuan Survey and Design Group Co., Ltd., Wuhan 430063, Hubei, China; 3. Urban Rail Transit Engineering Branch, China Railway Fifth Bureau Group Co., Ltd., Changsha 410205, Hunan, China
  • Online:2021-07-30 Published:2021-08-29

Abstract: The penetration prediction of disc cutter of fullface tunnel boring machine (TBM) is conducted. The rockbreaking process of TBM is qualitatively analyzed based on relevant data of Shenzhen metro line 6 and the data processing function of TBM cloud management platform, and as well it is divided into three stages macroscopically. The linear regression method is used to quantitatively analyze the change of penetration of TBM disc cutter in terms of the relationship between penetration and driving thrust, and the relationship between penetration and cutterhead torque. In this process, the parameter prediction model of penetration, thrust, and torque of TBM driving is derived, and the prediction results of linear regression method are verified by the field measurement results. The results show that: (1) The penetration, thrust, and torque of TBM vary in different stages, and there is a certain correlation among them. (2) The linear regression prediction model of tunneling parameters is verified to be reasonable, which shows that the linear regression method is suitable for the prediction of TBM tunneling parameters, and can provide theoretical basis and reference for the adjustment of tunneling parameters in the implementation stage of tunnel.

Key words: fullface tunnel boring machine, penetration, tunnel engineering, linear regression method, prediction model

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