期刊文献+

围岩分类在TBM滚刀寿命预测中的应用 被引量:29

Application of Rock Mass Classification in Cutter Life Prediction of TBM
下载PDF
导出
摘要 预测滚刀寿命,根据刀具磨损规律把握最好的换刀时机对隧道掘进机(TBM)来说是极其重要的。文章以秦岭隧道为例,应用围岩分类来预测刀具消耗量。根据影响TBM掘进率的岩石单轴抗压强度、岩石耐磨性、岩石硬度及岩体节理发育程度对围岩TBM工作条件等级的划分,定性分析了围岩等级与刀具消耗量的关系。在此基础上,提出围岩等级数的概念,得出不同的等级数与其相应的耗刀量之间的定量关系。 It is very important to change the cutter at the right time for TBM according to the cutter life prediction. Using the rock mass classification to predict the cutter life is presented in this paper, referring to the case for medium to hard rock of the Qinling tunnel. The cutter consumption in different rock mass is qualitatively analyzed. The quantitative relation between rock mass grading and the consumption of cutter used is proposed.
出处 《地下空间与工程学报》 CSCD 2005年第5期721-724,共4页 Chinese Journal of Underground Space and Engineering
关键词 隧道掘进机 滚刀寿命 围岩等级数 预测 TBM cutter life rock mass grading prediction
  • 相关文献

参考文献8

  • 1龚秋明,赵坚,张喜虎.岩石隧道掘进机的施工预测模型[J].岩石力学与工程学报,2004,23(z2):4709-4714. 被引量:42
  • 2Boniface. Tunnel Boring Machine Performance in Basalts of the Lesotho Formation[J].Tunnelling And Underground Space Technology,2000,15:19-54.
  • 3Abd Al-Jalil. Analysis of Performance of Tunnel Boring Machine-Based System[Doctorate Dissertation][D]. USA: The University of Texas at Austin, 1998.
  • 4刘明月,杜彦良,麻士琦.地质因素对TBM掘进效率的影响[J].石家庄铁道学院学报,2002,15(4):40-43. 被引量:34
  • 5王石春.隧道掘进机与地质因素关系综述[J].世界隧道,1998(2):39-43. 被引量:17
  • 6王梦恕.岩石隧道掘进机(TBM)施工及工程实例[M].北京:中国铁道出版社,2004,9..
  • 7杜时贵 童宏刚.隧道围岩分类研究现状[J].岩土力学与工程的理论及实践,1999,.
  • 8GB50218-94.工程岩体分级标准.[S].,..

二级参考文献18

  • 1[1]Graham P C. Rock Exploration for machine manufacturers, in exploration for rock engineering[A]. In: Bieniawski Z T ed. Proceedings of the Symposium[C]. Rotterdam: A. A. Balkema, 1976, 173~180
  • 2[2]Farmer I W, Glossop N H. Mechanics of disc cutter penetration[J].Tunnels and Tunnelling, 1980, 12:622~625
  • 3[3]Hughes H M. The relative cuttability of coal measures rock[J]. Mining Science and Technology, 1986, 3:95~109
  • 4[4]Nelson P P. Tunnel boring machine performance in sedimentary rock[Doctorate Dissertation][D]. USA: The Graduate School of Cornelll University, 1983
  • 5[5]O'Rourke J E, Spring J E, Coudray S V. Geotechnical parameters and tunnel boring machine performance at Goodwill Tunnel, California[A].In: Nelson, Laubach eds. Rock Mechanics Models and Measurements Challenges from Industry, Proc. of the 1st North American Rock Mechanics Symposium, The University of Texas at Austin[C].Rotterdam: A.A. Balkema, 1994
  • 6[6]Rostami J. Development of a force estimation model for rock fragmentation with disc cutters through theoretical modeling and physical measurement of crushed zone pressure [Doctorate Dissertation][D]. Golden, Colorado, USA: Dept. of Mining Engineering, Colorado School of Mines, 1997
  • 7[7]Cheema S. Development of a rock mass boreability index for the performance of tunnel boring machines[Doctorate Dissertation][D].Golden, Colorado, USA: Dept. of Mining Engineering, Colorado School of Mines, 1999
  • 8[8]Hoek E, Marinos P, Benissi M. Applicability of the geological strength index (GSI) classification for very weak and sheared rock masses[J]. The Case of the Athens Schist Formation Bull Engg. Geol.Env., 1998, 57(2): 151~160
  • 9[9]Bruland A. Hard rock tunnel boring[Doctorate Thesis][D]. Trondheim:Norwegian University of Science and Technology, 1998
  • 10[10]Barton N. TBM Tunnelling in Jointed and Faulted Rock[M].Rotterdam: A.A. Balkema, 2000

共引文献140

同被引文献303

引证文献29

二级引证文献225

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部