基于CSM模型的硬岩TBM滚刀磨损预测方法

中国机械工程 ›› 2014, Vol. 25 ›› Issue (1): 32-35.

基于CSM模型的硬岩TBM滚刀磨损预测方法

李刚;朱立达;杨建宇;王宛山

东北大学，沈阳，110004

出版日期:2014-01-10 发布日期:2014-01-14
基金资助:
国家科技支撑计划资助项目(2007BAF09B01)；中央高校基本科研业务费博士研究生资助项目(N090603006)

A Method to Predict Disc Cutter Wear Extent for Hard Rock TBMs Based on CSM Model

Li Gang;Zhu Lida;Yang Jianyu;Wang Wanshan

Northeastern University，Shenyang，110004

Online:2014-01-10 Published:2014-01-14
Supported by:
The National Key Technology R&D Program（No. 2007BAF09B01）

摘要/Abstract

摘要：

为解决硬岩TBM在掘进时滚刀磨损检测难的问题，以岩石断裂力学为理论基础，深入分析了TBM滚刀的破岩机理，并基于Colorado school of mincs(CSM)模型提出了一种新的滚刀磨损预测方法。通过滚刀与岩石相互作用的力学模型，利用刀盘比能预测了滚刀的磨损。结合秦岭隧道工程实例，对滚刀磨损水平进行了量化研究，预测结果与实际情况相符，从而验证了模型的有效性。

关键词: 全断面硬岩掘进机, 滚刀, 滚刀磨损, 磨损预测模型

Abstract:

To overcome the difficulty in prediction of disc cutter wear extent in the working process of a TBM, by using fracture mechanics theory of rock, the rock fragmentation mechanism of TBM cutters was analyzed. A new method to predict disc cutter wear extent was developed herein. Based on mechanical analysis of the disc cutter as it cuts hard rock, a model was carried out by using specific energy (SE) and the influence factors of disc cutters wear were analyzed. Data from on-site Qinling tunnel boring was analyzed in detail as an example and the comparison was made with the field data. The results prove that the prediction results are similar to the actual situation.

Key words: tunnel boring machine(TBM), disc cutter, cutter wear, wear extent prediction model

中图分类号:

TD263

李刚, 朱立达, 杨建宇, 王宛山. 基于CSM模型的硬岩TBM滚刀磨损预测方法[J]. 中国机械工程, 2014, 25(1): 32-35.

Li Gang, Zhu Lida, Yang Jianyu, Wang Wanshan. A Method to Predict Disc Cutter Wear Extent for Hard Rock TBMs Based on CSM Model[J]. China Mechanical Engineering, 2014, 25(1): 32-35.

参考文献

[1]Rostami J, Ozdemir L, Nilsen B. Comparison between CSM and NTH Hard Rock TBM Performance Prediction Models[C]//Proceedings of Annual Technical Meeting of the Institute of Shaft Drilling Technology. Las Vegas, 1996: 1-10.
[2]Wang Lihui, Kang Yilan, Cai Zongxi, et al. The Energy Method to Predict Disc Cutter Wear Extent for Hard Rock TBMs[J]. Tunnelling and Underground Space Technology, 2012, 28: 183-191.
[3]张明富, 袁大军, 黄清飞, 等. 砂卵石地层盾构刀具动态磨损分析[J]. 岩石力学与工程学报, 2008, 27(2): 397-402.
Zhang Mingfu, Yuan Dajun, Huang Qingfei, et al. Analysis of Dynamic Abrasion of Shield Cutters in Sandy Cobble Stratum[J]. Chinese Journal of Rock Mechanics and Engineering, 2008, 27(2): 397-402.
[4]李笑, 苏小江. 基于Elman神经网络的盾构滚刀磨损预测方法研究[J]. 辽宁工程技术大学学报(自然科学版), 2010, 29(6): 1121-1124.
Li Xiao, Su Xiaojiang. A New Method for Forecasting Shield’s Disc-cutters Wearing Based on Elman Neural Network[J]. Journal of Liaoning Technical University(Natural Science), 2010, 29(6): 1121-1124.
[5]Yagiz S. AModel for the Prediction of Tunnel Boring Machine Performance[C]//10th Congress of the International Association for Engineering Geology and the Environment. Nottingham, 2006: 793-809.
[6]Cho Jung-Woo, Jeon Seokown, Yu Sang-Hwa, et al. Optimum Spacing of TBM Disc Cutters：A Numerical Simulation Using the Three-dimensional Dynamic Fracturing Method[J]. Tunnelling and Underground Space Technology, 2010, 25(3): 230-244.
[7]Acaroglu O, Ozdemir L, Asbury B. A Fuzzy Logic Model to Predict Specific Energy Requirement for TBM Performance Prediction[J]. Tunnelling and Underground Space Technology, 2008, 23(5): 600-608.
[8]Gertsch R, Gertsch L, Rostami J. Disc Cutting Tests in Colorado Red Granite: Implications for TBM Performance Prediction[J]. International Journal of Rock Mechanics & Mining Sciences, 2007, 44(2): 238-246.
[9]Gong Q M, Zhao J. Development of a Rock Mass Characteristics Model for TBM Penetration Rate Prediction[J]. International Journal of Rock Mechanics & Mining Sciences, 2009, 46(1): 8-18.
[10]刘明月. 秦岭隧道全断面掘进机掘进状况识别分析研究[D]. 成都：西南交通大学，2002.