全断面岩石掘进机刀具磨损状态的分析与识别
|
摘要
全断面岩石掘进机（TBM）是一种专门用于开挖岩石隧道与地下通道工程的大型高科技施工装备。在硬岩TBM掘进过程中，刀具磨损消耗一直是困扰施工效率的瓶颈问题之一。本论文以硬岩TBM的滚刀为对象，围绕着刀具磨损状态检测理论与预估方法展开研究。在研究中从装备载荷与能耗信息分析入手，建立这些信息与刀具摩擦和磨损的关联，进而从载荷与能耗信息的响应变化中对刀具磨损状态进行识别与提取，以此建立刀具磨损的分析方法与刀具磨损状态实时预估模型，并结合工程采集的掘进数据，对上述模型适用性进行了比较和验证。
本论文对常截面（CCS）盘形滚刀进行受力分析，通过力学分析和有限元数值模拟研究了刀具与岩体接触曲面弧长上的载荷分布，提出了在接触曲面弧长上分布载荷的近似抛物线分布模型，通过相关试验研究结果和实际工程中的载荷数据，验证了这一载荷分布模型的有效性。通过分析掘进参数与刀具几何构形参数间的关联，建立了检测刀具磨损的分析方法。在建立刀具载荷分布模型的基础上，本论文进一步分析了硬岩TBM掘进参数与岩体参数和刀具几何构形之间的相互关系。通过对比能的研究，结合上述研究结果，提出了预估刀具磨损的掘进比能公式，建立了预估刀具磨损量的能量方法。并通过土耳其Kozyatagi-Kadikoy（Ko-Ka）地铁隧道和秦岭隧道对这一方法的有效性进行了验证。
本论文从装备能耗及其变化信息分析出发，进一步研究了TBM掘进过程中摩擦功对扭矩功和推力功的影响，讨论了扭矩功与推力功之间存在相互关系，从能耗信息的响应变化中对刀具磨损状态进行提取，建立了刀具状态方程，提出了掘进能耗的上下限判据。根据盘形滚刀失效表面的宏观分析、扫描电镜分析及表层金相分析结果，考虑刀具表面接触疲劳磨损等主要因素，分析了摩擦功与摩擦体积的关系，建立了适于工程应用的磨损换刀模型。结合引洮工程9#隧洞硬岩阶段的掘进数据与相应的换刀记录，验证了这一磨损换刀模型的有效性。
Full-face tunnel boring machine (TBM) is a kind of specialized high-techconstruction equipment for large-scale excavation of rock tunnels and undergroundchannel engineering. During hard rock TBM tunneling process, cutter wearconsumption has been one of the bottlenecks that plagued the construction efficiency.In this thesis, the researches on the hard rock TBM disc cutter are conducted, in termsof the tool wear state detection theory and estimation method. Beginning from theinformation analysis of the equipment load and energy consumption, the relationshipsbetween above information and the friction and wear of cutter are established. Thenthe cutters wear state, in response to the changes of load and energy consumptioninformation, are identified and extracted. Based on these, the analysis method ofcutter wear and cutter wear real time prediction model are established and validatedby the collected engineering excavation data.
In this paper, the forces on constant cross section (CCS) disc cutter are analyzed,and the load distribution on cutter and rock contact arc length is researched throughmechanical analysis and finite element numerical simulation. As a result, the model ofapproximate parabola distribution of distributed load is presented, which is validatedby the relative experimental results and actual engineering load data. The analysismethod to detect disc cutter wear is established according to the correlation betweenworking parameters and disc cutter geometry parameters. Based on above researches,the relationship between hard rock TBMs working parameters, rock mass parametersand disc cutter geometry is further investigated. Combined with above research results,the specific energy formula is proposed, and the energy method to estimate the wearextent of disc cutter is established. Furthermore, above specific energy formula andenergy method are validated by Turkey Kozyatagi-Kadikoy (Ko-Ka) subway tunneland Qinling Mountains tunnel.
According to the analysis of equipment energy consumption and its changeinformation, the influences of friction energy on TBM torque energy and thrust energyare studied, the interrelation between torque energy and thrust energy is analyzed, andthe cutter wear state is extracted from the response to changes in the energyconsumption information. Then the cutters wear state equation is established, and the criteria for upper and lower limits of the tunneling energy consumption are proposed.According to the macro analysis, SEM analysis and surface metallographic analysis ofthe failure surface of disc cutter, considering the main factors of the tool surfacecontact fatigue wear, the relationship between friction energy and friction volume isanalyzed, and the abrasion cutter change model suitable for engineering applicationsis established. At last, the validity of the abrasion cutter change model is confirmed byYintao project9#tunnel.
本论文对常截面（CCS）盘形滚刀进行受力分析，通过力学分析和有限元数值模拟研究了刀具与岩体接触曲面弧长上的载荷分布，提出了在接触曲面弧长上分布载荷的近似抛物线分布模型，通过相关试验研究结果和实际工程中的载荷数据，验证了这一载荷分布模型的有效性。通过分析掘进参数与刀具几何构形参数间的关联，建立了检测刀具磨损的分析方法。在建立刀具载荷分布模型的基础上，本论文进一步分析了硬岩TBM掘进参数与岩体参数和刀具几何构形之间的相互关系。通过对比能的研究，结合上述研究结果，提出了预估刀具磨损的掘进比能公式，建立了预估刀具磨损量的能量方法。并通过土耳其Kozyatagi-Kadikoy（Ko-Ka）地铁隧道和秦岭隧道对这一方法的有效性进行了验证。
本论文从装备能耗及其变化信息分析出发，进一步研究了TBM掘进过程中摩擦功对扭矩功和推力功的影响，讨论了扭矩功与推力功之间存在相互关系，从能耗信息的响应变化中对刀具磨损状态进行提取，建立了刀具状态方程，提出了掘进能耗的上下限判据。根据盘形滚刀失效表面的宏观分析、扫描电镜分析及表层金相分析结果，考虑刀具表面接触疲劳磨损等主要因素，分析了摩擦功与摩擦体积的关系，建立了适于工程应用的磨损换刀模型。结合引洮工程9#隧洞硬岩阶段的掘进数据与相应的换刀记录，验证了这一磨损换刀模型的有效性。
Full-face tunnel boring machine (TBM) is a kind of specialized high-techconstruction equipment for large-scale excavation of rock tunnels and undergroundchannel engineering. During hard rock TBM tunneling process, cutter wearconsumption has been one of the bottlenecks that plagued the construction efficiency.In this thesis, the researches on the hard rock TBM disc cutter are conducted, in termsof the tool wear state detection theory and estimation method. Beginning from theinformation analysis of the equipment load and energy consumption, the relationshipsbetween above information and the friction and wear of cutter are established. Thenthe cutters wear state, in response to the changes of load and energy consumptioninformation, are identified and extracted. Based on these, the analysis method ofcutter wear and cutter wear real time prediction model are established and validatedby the collected engineering excavation data.
In this paper, the forces on constant cross section (CCS) disc cutter are analyzed,and the load distribution on cutter and rock contact arc length is researched throughmechanical analysis and finite element numerical simulation. As a result, the model ofapproximate parabola distribution of distributed load is presented, which is validatedby the relative experimental results and actual engineering load data. The analysismethod to detect disc cutter wear is established according to the correlation betweenworking parameters and disc cutter geometry parameters. Based on above researches,the relationship between hard rock TBMs working parameters, rock mass parametersand disc cutter geometry is further investigated. Combined with above research results,the specific energy formula is proposed, and the energy method to estimate the wearextent of disc cutter is established. Furthermore, above specific energy formula andenergy method are validated by Turkey Kozyatagi-Kadikoy (Ko-Ka) subway tunneland Qinling Mountains tunnel.
According to the analysis of equipment energy consumption and its changeinformation, the influences of friction energy on TBM torque energy and thrust energyare studied, the interrelation between torque energy and thrust energy is analyzed, andthe cutter wear state is extracted from the response to changes in the energyconsumption information. Then the cutters wear state equation is established, and the criteria for upper and lower limits of the tunneling energy consumption are proposed.According to the macro analysis, SEM analysis and surface metallographic analysis ofthe failure surface of disc cutter, considering the main factors of the tool surfacecontact fatigue wear, the relationship between friction energy and friction volume isanalyzed, and the abrasion cutter change model suitable for engineering applicationsis established. At last, the validity of the abrasion cutter change model is confirmed byYintao project9#tunnel.
引文
[1]钱七虎，李朝甫，傅德明，全断面掘进机在中国地下工程中的应用现状及前景展望，隧道建设，2002，(5)：28~35
[2]王梦恕，中国铁路、隧道与地下空间发展概况，隧道建设，2010，30(4)：351~364
[3]宋克志，王梦恕，TBM刀盘与岩石相对刚度对盘形滚刀受力的影响分析，应用基础与工程科学学报，2011，19(4)：591~599
[4]苏鹏程，王宛山，霍军周等，TBM的滚刀布置优化设计研究，东北大学学报(自然科学版)，2010，31(6)：877~881
[5]张照煌，全断面岩石掘进机及其刀具破岩理论，北京：中国铁道出版社，2003
[6]王梦恕，李典瑛，张镜剑等，岩石隧道掘进机(TBM)施工及工程实例，北京：中国铁道出版社，2004
[7] Cigla M,Yagiz S,Ozdemir L, Application of Tunnel Boring Machines inUnderground Mine Development[EB/OL],[2007-04-10].http://www.mines.edu/academic/mining/research/emi/
[8]袁超，唐莉梅，余立新等，盾构机盘形滚刀刀圈与地层适应性分析，隧道建设2009，29（增1）：9~11
[9]刘春，TBM掘进机关键部件—盘型滚刀的研制，中国铁道科学，2003，24(4)：101~106.
[10]纪昌明，张照煌，叶定海，盘形滚刀刀间距对岩石跃进破碎参数的影响，应用基础与工程科学学报，2008，16(2)：254~262
[11]Komatsu LTD, WEAR DETECTING METHOD FOR DISC CUTTER ANDWEAR DETECTING EQUIPMENT, JP10140981-A,1998
[12]张厚美，隧道掘进机掘进过程中刀具磨损的检测方法，中国专利，CN1818640，2006-08-16
[13]赵维刚，刘明月，杜彦良等，全断面隧道掘进机刀具异常磨损的识别分析，中国机械工程，2007，18（2）：150~153
[14]刘明月，秦岭隧道全断面掘进机掘进状况识别分析研究，硕士论文，2002，12
[15]李笑，苏小江，盾构滚刀磨损的多元非线性回归预测，辽宁工程技术大学学报(自然科学版)，2009，28(2)：281~283
[16]张照煌，纪昌明，全断面岩石掘进机盘形滚刀刃破岩点弧长的解析解及应用研究，应用基础与工程科学学报，2009，17(2)：265~273
[17]CSM. CSM COMPUTER MODEL FOR TBM PERFORMANCE PREDICTION[EB/OL]//[2007-04-10]. http://www.mines.edu/academic/mining/research/emi/
[18]G. WIJK. A model of tunnel boring machine performance [J]. Geotechnical andGeological Engineering,1992,10,19~40
[19]Bruland A. Hard rock tunnel boring[Doctorate Thesis][D] Norwegian Universityof Science and Technology1998
[20]杨媛媛，黄宏伟，围岩分类在TBM滚刀寿命预测中的应用，地下空间与工程学报，2005，1(5)：721~724
[21]龚秋明，赵坚，张喜虎，岩石隧道掘进机的施工预测模型，岩石力学与工程学报，2004，增(2)：4709~4714
[22]王旭，李晓，廖秋林，岩石可掘进性研究的试验方法述评，地下空间与工程学报，2009，5(1)：67~72
[23]孙金山，陈明，陈保国等， TBM滚刀破岩过程影响因素数值模拟研究[J].岩土力学，2011，32(6)：1891~1897
[24]宋克志，季立光，袁大军等，盘形滚刀切割岩碴粒径分布规律研究，岩石力学与工程学报，2008，27（增1）
[25]宋克志袁大军王梦恕，盘形滚刀与岩石相互作用研究综述，铁道工程学报，2005，（6）
[26] SANIO H P, Prediction of the performance of disc cutters in anisotropic rock,International Journal of Rock Mechanics and Mining Sciences and GeomechanicAbstracts,1985,22(3):153~161
[27] Ramezanzadeh A., Rostami J., Kastner R., performance prediction models forhard rock tunnel boring machines, Tunnelling,2006,(4):1~12
[28] ROSTAMI J, OZDEMIR L., A NEW MODEL FOR PERFORMANCEPREDICTION OF HARD ROCK TBMS, Rapid Excavation and TunnelingConference. Boston: MA, AIME,1993:793~809
[29]Lachel, G. F., Performance prediction for hard rock disc microtunneling, No Dig1999Conference North American Society for Trenchless Technology Orlando,Florida May,23~26
[30]徐则民，黄润秋，张倬元，TBM刀具设计中围岩力学参数的选择，岩石力学与工程学报，2001，20(2)：230~234
[31]Qiu-Ming Gong, Jian Zhao, Yu-Yong Jiao, Numerical modeling of the effects ofjoint orientation on rock fragmentation by TBM cutters, Tunnelling andUnderground Space Technology,2005,20:183~191
[32]Q.M. Gong, Y.Y. Jiao, J. Zhao, Numerical modelling of the effects of jointspacing on rock fragmentation by TBM cutters, Tunnelling and UndergroundSpace Technology,2006,21:46~55
[33]Gong Q. M., Zhao J., Hefny A.M., Numerical Simulation of Rock FragmentationProcess Induced by Two TBM Cutters and Cutter Spacing Optimization,Tunnelling and Underground Space Technology,2006,21
[34]宋克志，王本福，隧道掘进机盘形滚刀的工作原理分析，建筑机械，2007，（4）：71~74
[35]Gertsch R., Gertsch L, Rostami J., Disc cutting tests in Colorado Red Granite:Implications for TBM performance prediction[J]. International Journal of RockMechanics&Mining Sciences,2007,44(2):238~246
[36]Gong Q. M., Zhao J., Jiang Y. S., In situ TBM penetration tests and rock massboreability analysis in hard rock tunnels, Tunnelling and Underground SpaceTechnology,2007,22(3):303~316
[37]宋克志，李传明，袁大军等，盾构隧道施工盘形滚刀推力分布规律研究，岩石力学与工程学报，2008，27（增2）：3875~388
[38]Balci, C., Correlation of rock cutting tests with field performance of a TBM in ahighly fractured rock formation: a case study in Kozyatagi-Kadikoy metro tunnel,Turkey, Tunnelling and Underground Space Technology,2009,24,423~435
[39]苏利军，孙金山，卢文波，基于颗粒流模型的TBM滚刀破岩过程数值模拟研究，岩土力学，2009，30（9）：2823~2829
[40]谭青，屠昌锋，暨智勇等，盘形滚刀切割岩石的数值仿真，现代制造工程，2009，（2）：62~64
[41]Jung-Woo Cho, Seokwon Jeon, Sang-Hwa Yu, et al., Optimum spacing of TBMdisc cutters: A numerical simulation using the three-dimensional dynamicfracturing method, Tunnelling and Underground Space Technology,2010,25:230~244
[42]谭季秋，谭青，夏毅敏等，TBM多刀不同切削顺序破岩过程的数值研究，湖南工程学院学报，2011，21（3）：18~21
[43]夏毅敏，欧阳涛，陈雷等，盘形滚刀破岩力影响因素研究，应用基础与工程科学学报，2012，20（3）：500~507
[44]Alber, M., Stress dependency of the Cerchar abrasivity index (CAI) and its effectson wear of selected rock cutting tools, Tunnelling and Underground SpaceTechnology,2008,23,351~359
[45]T.N. Michalakopoulos, V.G. Anagnostou, M.E. Bassanou, et al., The influence ofsteel styli hardness on the Cerchar abrasiveness index value, International Journalof Rock Mechanics&Mining Sciences,2006,43:321~327
[46]R. Plinninger, H. K.asling, K. Thuro, et al., Testing conditions and geomechanicalproperties influencing the CERCHAR abrasiveness index (CAI) value,International Journal of Rock Mechanics&Mining Sciences,2003,40:259~263
[47]Parviz, F.RAD., Bluntness and wear of rolling disk cutters, International Journalof Rock Mechanics and Mining Sciences and Geomechanic Abstracts,1975,12,93~99
[48]张珂，王贺，吴玉厚等，全断面硬岩TBM滚刀磨损关键技术分析，沈阳建筑大学学报(自然科学版)，2009，25（2）：351~354
[49]胡怡，顾红星，张国利. TBM盘形滚刀的失效分析[J].金属热处理，2002，27（1）：55~56
[50]王旭，赵羽，张宝刚等. TBM滚刀刀圈磨损机理研究[J].现代隧道技术，2010，27（1）：15~19
[51]竺维彬，王晖，鞠世健，复合地层中盾构滚刀磨损原因分析及对策，现代隧道技术，2006，(4)：72~77
[52]魏南珍，沙明元，秦岭隧道全断面掘进机刀具磨损规律分析，石家庄铁道学院学报，1999，12（2）：86~89
[53]刘佐民，摩擦学理论与设计，武汉：武汉理工大学出版社，2009
[54]温诗铸，黄平，摩擦学原理，北京：清华大学出版社，2002
[55]翟玉生，李安，张金中，应用摩擦学，东营：石油大学出版社，1996
[56]汪志城，滚动摩擦机理和滚动摩擦系数，上海机械学院学报，1993，15（4）：35~43
[57]松源清，摩擦学，西安：西安交通大学出版社，1987
[58] M. Ignesti a, M. Malvezzib, L. Marinia, et al, Development of a wear model forthe prediction of wheel and rail profile evolution in railway systems, wear,2012,284-285:1~17.
[59] I.G. Goryacheva, E.V. Torskaya, Modeling of fatigue wear o f a two-layeredelastic half-space in contact with periodic system of indenters, wear,2010,268:1417~1422.
[60] Sergey M. Zakharova, Irina G. Goryachevab, Rolling contact fatigue defects infreight car wheels, Wear,2005,258:1142~1147
[61] I. G. Goryacheva, A. M. Mezrin, Simulation of Combined Wearing of the Shaftand Bush in a Heavily Loaded Sliding Bearing, Journal of Friction and Wear,2011,32(1):1~7.
[62] Yilan Kang, Xuehui Lin, Qinghua Qin, Inverse/genetic method and itsapplication in identification of mechanical parameters of interface in composite,Composite Structures,2004,66(1-4):449~458.
[63] Wang J.，Qin Q.H.，Kang Y.L., et al,―Viscoelastic adhesive interfacial modelandexperimental characterization for interfacial parameters‖, Mechanics of Materials,2010,42(5):537~547
[64]王光宏，蒋平，数据挖掘综述，同济大学学报，2004，32(2)：246~252
[65]郭秀娟，数据挖掘方法综述，吉林建筑工程学院学报，2004，21(1)：49~53
[66]向先全，陶建华，水信息学及其在水环境中的应用研究综述，生态环境学报2009,18(4):1587~1593
[67]Vladimir N. VapniK，统计学习理论的本质，北京：清华大学出版社，2000
[68]闫友彪，陈元琰，机器学习的主要策略综述，计算机应用研究，2004，(7)：4~10
[69]Qian Zhang, Yilan Kang, Chuanyong Qu, Zongxi Cai, Mechanical Model forOperational Loads Prediction on Shield Cutter Head during Excavation,2010IEEE/ASME International Conference on Advanced Intelligent Mechatronics,Montréal, Canada, July6-9,2010,1252~1256
[70]Qian Zhang, Yilan Kang, Zongxi Cai, Haifeng Zhao, Pengcheng Su, A NonlinearMultiple Regression Model for Load Identification of Shield Machine Co mbinedwith Mechanical Analysis, The8th International Conference on Fuzzy Systemsand Knowledge, Shanghai, China,2011
[71]J. Hassanpour, J. Rostami, J. Zhao. A new hard rock TBM performance predictionmodel for project planning, Tunnelling and Underground Space Technology2011,26:595~603
[72]Saffet Yagiz, HalilKarahan. Prediction of hard rock TBM penetration rate usingparticle swarm optimization, International Journal of Rock Mechanics&MiningSciences,2011,48:427~433
[73]S. Yagiz, C.Gokceoglu, E.Sezer, et al, Application of two non-linear predictiontools to the estimation of tunnel boring machine performance, EngineeringApplications of Artificial Intelligence,2009,22:808~814
[74]Saffet Yagiz. Utilizing rock mass properties for predicting TBM performance inhard rock condition, Tunnelling and Underground Space Technology,2008,23:326~339
[75]O. Acaroglu. Prediction of thrust and torque requirements of TBMs with fuzzylogic models, Tunnelling and Underground Space Technology,2011,26:267~275
[76]O. Acaroglu, L. Ozdemir, B. Asbury. A fuzzy logic model to predict specificenergy requirement for TBM performance prediction, Tunnelling andUnderground Space Technology,2008,23:600~608
[77]JAVAD Gholamnejad, NARGES Tayaran. Application of artificial neuralnetworks to the prediction of tunnel boring machine penetration rate, MiningScience and Technology,2010,20:0727~0733
[78]M. Alvarez Grima, P. A. Bruines and P. N. W. Verhoef. Modeling Tunnel BoringMachine Performance by Neuro-Fuzzy Methods, Tunnelling and UndergroundSpace Technology,2000,15(3):259~269
[79]Q.M. Gong, J.Zhao, Development of a rock mass characteristics model for TBMpenetration rate prediction, International Journal of Rock Mechanics&MiningSciences,2009,46,8~18
[80]Wei Sun, Junzhou Huo, Jing Chen, et al. Disc cutters’ layout design of thefull-face rock tunnel boring machine (TBM) using a cooperative coevolutionaryalgorithm, Journal of Mechanical Science and Technology2011,25(2):415~427
[81]刘志杰，史彦军，滕弘飞.基于实例推理的全断面岩石隧道掘进机刀盘主参数设计方法，机械工程学报，2010，46(3)：158~164
[82]Jafar Khademi Hamidi, Kourosh Shahriar, Bahram Rezai, et al. Performanceprediction of hard rock TBM using Rock Mass Rating (RMR) system, Tunnellingand Underground Space Technology,2010,25:333~345
[83]Reza Mikaeil, Masoud Zare. Multifactorial fuzzy approach to the penetrabilityclassification of TBM in hard rock conditions, Tunnelling and Underground SpaceTechnology,2009,24,500~505
[84]朱北斗，龚国芳，周如林等.基于盾构掘进参数的BP神经网络地层识别,浙江大学学报（工学版），2011，45（5）：851~857
[85]K. L. Johnsonl，接触力学，北京：高等教育出版社，1992
[86]万治昌，沙明元，周雁领，盘形滚刀的使用与研究—TB880E掘进机在秦岭隧道施工中的应用（1），现代隧道技术，2002，39(5)：1~11.
[87] Nelson, P.P., Ingraffea, A.R., O’rourkei, T.D., Technical note TBM performanceprediction using rock fracture parameters. International Journal of RockMechanics and Mining Sciences and Geomechanic Abstracts,1985,22(3),189~192.
[88]万治昌，沙明元，周雁领，盘形滚刀的使用与研究—TB880E掘进机在秦岭隧道施工中的应用（2），现代隧道技术，2002，39(6)：1~12.
[2]王梦恕，中国铁路、隧道与地下空间发展概况，隧道建设，2010，30(4)：351~364
[3]宋克志，王梦恕，TBM刀盘与岩石相对刚度对盘形滚刀受力的影响分析，应用基础与工程科学学报，2011，19(4)：591~599
[4]苏鹏程，王宛山，霍军周等，TBM的滚刀布置优化设计研究，东北大学学报(自然科学版)，2010，31(6)：877~881
[5]张照煌，全断面岩石掘进机及其刀具破岩理论，北京：中国铁道出版社，2003
[6]王梦恕，李典瑛，张镜剑等，岩石隧道掘进机(TBM)施工及工程实例，北京：中国铁道出版社，2004
[7] Cigla M,Yagiz S,Ozdemir L, Application of Tunnel Boring Machines inUnderground Mine Development[EB/OL],[2007-04-10].http://www.mines.edu/academic/mining/research/emi/
[8]袁超，唐莉梅，余立新等，盾构机盘形滚刀刀圈与地层适应性分析，隧道建设2009，29（增1）：9~11
[9]刘春，TBM掘进机关键部件—盘型滚刀的研制，中国铁道科学，2003，24(4)：101~106.
[10]纪昌明，张照煌，叶定海，盘形滚刀刀间距对岩石跃进破碎参数的影响，应用基础与工程科学学报，2008，16(2)：254~262
[11]Komatsu LTD, WEAR DETECTING METHOD FOR DISC CUTTER ANDWEAR DETECTING EQUIPMENT, JP10140981-A,1998
[12]张厚美，隧道掘进机掘进过程中刀具磨损的检测方法，中国专利，CN1818640，2006-08-16
[13]赵维刚，刘明月，杜彦良等，全断面隧道掘进机刀具异常磨损的识别分析，中国机械工程，2007，18（2）：150~153
[14]刘明月，秦岭隧道全断面掘进机掘进状况识别分析研究，硕士论文，2002，12
[15]李笑，苏小江，盾构滚刀磨损的多元非线性回归预测，辽宁工程技术大学学报(自然科学版)，2009，28(2)：281~283
[16]张照煌，纪昌明，全断面岩石掘进机盘形滚刀刃破岩点弧长的解析解及应用研究，应用基础与工程科学学报，2009，17(2)：265~273
[17]CSM. CSM COMPUTER MODEL FOR TBM PERFORMANCE PREDICTION[EB/OL]//[2007-04-10]. http://www.mines.edu/academic/mining/research/emi/
[18]G. WIJK. A model of tunnel boring machine performance [J]. Geotechnical andGeological Engineering,1992,10,19~40
[19]Bruland A. Hard rock tunnel boring[Doctorate Thesis][D] Norwegian Universityof Science and Technology1998
[20]杨媛媛，黄宏伟，围岩分类在TBM滚刀寿命预测中的应用，地下空间与工程学报，2005，1(5)：721~724
[21]龚秋明，赵坚，张喜虎，岩石隧道掘进机的施工预测模型，岩石力学与工程学报，2004，增(2)：4709~4714
[22]王旭，李晓，廖秋林，岩石可掘进性研究的试验方法述评，地下空间与工程学报，2009，5(1)：67~72
[23]孙金山，陈明，陈保国等， TBM滚刀破岩过程影响因素数值模拟研究[J].岩土力学，2011，32(6)：1891~1897
[24]宋克志，季立光，袁大军等，盘形滚刀切割岩碴粒径分布规律研究，岩石力学与工程学报，2008，27（增1）
[25]宋克志袁大军王梦恕，盘形滚刀与岩石相互作用研究综述，铁道工程学报，2005，（6）
[26] SANIO H P, Prediction of the performance of disc cutters in anisotropic rock,International Journal of Rock Mechanics and Mining Sciences and GeomechanicAbstracts,1985,22(3):153~161
[27] Ramezanzadeh A., Rostami J., Kastner R., performance prediction models forhard rock tunnel boring machines, Tunnelling,2006,(4):1~12
[28] ROSTAMI J, OZDEMIR L., A NEW MODEL FOR PERFORMANCEPREDICTION OF HARD ROCK TBMS, Rapid Excavation and TunnelingConference. Boston: MA, AIME,1993:793~809
[29]Lachel, G. F., Performance prediction for hard rock disc microtunneling, No Dig1999Conference North American Society for Trenchless Technology Orlando,Florida May,23~26
[30]徐则民，黄润秋，张倬元，TBM刀具设计中围岩力学参数的选择，岩石力学与工程学报，2001，20(2)：230~234
[31]Qiu-Ming Gong, Jian Zhao, Yu-Yong Jiao, Numerical modeling of the effects ofjoint orientation on rock fragmentation by TBM cutters, Tunnelling andUnderground Space Technology,2005,20:183~191
[32]Q.M. Gong, Y.Y. Jiao, J. Zhao, Numerical modelling of the effects of jointspacing on rock fragmentation by TBM cutters, Tunnelling and UndergroundSpace Technology,2006,21:46~55
[33]Gong Q. M., Zhao J., Hefny A.M., Numerical Simulation of Rock FragmentationProcess Induced by Two TBM Cutters and Cutter Spacing Optimization,Tunnelling and Underground Space Technology,2006,21
[34]宋克志，王本福，隧道掘进机盘形滚刀的工作原理分析，建筑机械，2007，（4）：71~74
[35]Gertsch R., Gertsch L, Rostami J., Disc cutting tests in Colorado Red Granite:Implications for TBM performance prediction[J]. International Journal of RockMechanics&Mining Sciences,2007,44(2):238~246
[36]Gong Q. M., Zhao J., Jiang Y. S., In situ TBM penetration tests and rock massboreability analysis in hard rock tunnels, Tunnelling and Underground SpaceTechnology,2007,22(3):303~316
[37]宋克志，李传明，袁大军等，盾构隧道施工盘形滚刀推力分布规律研究，岩石力学与工程学报，2008，27（增2）：3875~388
[38]Balci, C., Correlation of rock cutting tests with field performance of a TBM in ahighly fractured rock formation: a case study in Kozyatagi-Kadikoy metro tunnel,Turkey, Tunnelling and Underground Space Technology,2009,24,423~435
[39]苏利军，孙金山，卢文波，基于颗粒流模型的TBM滚刀破岩过程数值模拟研究，岩土力学，2009，30（9）：2823~2829
[40]谭青，屠昌锋，暨智勇等，盘形滚刀切割岩石的数值仿真，现代制造工程，2009，（2）：62~64
[41]Jung-Woo Cho, Seokwon Jeon, Sang-Hwa Yu, et al., Optimum spacing of TBMdisc cutters: A numerical simulation using the three-dimensional dynamicfracturing method, Tunnelling and Underground Space Technology,2010,25:230~244
[42]谭季秋，谭青，夏毅敏等，TBM多刀不同切削顺序破岩过程的数值研究，湖南工程学院学报，2011，21（3）：18~21
[43]夏毅敏，欧阳涛，陈雷等，盘形滚刀破岩力影响因素研究，应用基础与工程科学学报，2012，20（3）：500~507
[44]Alber, M., Stress dependency of the Cerchar abrasivity index (CAI) and its effectson wear of selected rock cutting tools, Tunnelling and Underground SpaceTechnology,2008,23,351~359
[45]T.N. Michalakopoulos, V.G. Anagnostou, M.E. Bassanou, et al., The influence ofsteel styli hardness on the Cerchar abrasiveness index value, International Journalof Rock Mechanics&Mining Sciences,2006,43:321~327
[46]R. Plinninger, H. K.asling, K. Thuro, et al., Testing conditions and geomechanicalproperties influencing the CERCHAR abrasiveness index (CAI) value,International Journal of Rock Mechanics&Mining Sciences,2003,40:259~263
[47]Parviz, F.RAD., Bluntness and wear of rolling disk cutters, International Journalof Rock Mechanics and Mining Sciences and Geomechanic Abstracts,1975,12,93~99
[48]张珂，王贺，吴玉厚等，全断面硬岩TBM滚刀磨损关键技术分析，沈阳建筑大学学报(自然科学版)，2009，25（2）：351~354
[49]胡怡，顾红星，张国利. TBM盘形滚刀的失效分析[J].金属热处理，2002，27（1）：55~56
[50]王旭，赵羽，张宝刚等. TBM滚刀刀圈磨损机理研究[J].现代隧道技术，2010，27（1）：15~19
[51]竺维彬，王晖，鞠世健，复合地层中盾构滚刀磨损原因分析及对策，现代隧道技术，2006，(4)：72~77
[52]魏南珍，沙明元，秦岭隧道全断面掘进机刀具磨损规律分析，石家庄铁道学院学报，1999，12（2）：86~89
[53]刘佐民，摩擦学理论与设计，武汉：武汉理工大学出版社，2009
[54]温诗铸，黄平，摩擦学原理，北京：清华大学出版社，2002
[55]翟玉生，李安，张金中，应用摩擦学，东营：石油大学出版社，1996
[56]汪志城，滚动摩擦机理和滚动摩擦系数，上海机械学院学报，1993，15（4）：35~43
[57]松源清，摩擦学，西安：西安交通大学出版社，1987
[58] M. Ignesti a, M. Malvezzib, L. Marinia, et al, Development of a wear model forthe prediction of wheel and rail profile evolution in railway systems, wear,2012,284-285:1~17.
[59] I.G. Goryacheva, E.V. Torskaya, Modeling of fatigue wear o f a two-layeredelastic half-space in contact with periodic system of indenters, wear,2010,268:1417~1422.
[60] Sergey M. Zakharova, Irina G. Goryachevab, Rolling contact fatigue defects infreight car wheels, Wear,2005,258:1142~1147
[61] I. G. Goryacheva, A. M. Mezrin, Simulation of Combined Wearing of the Shaftand Bush in a Heavily Loaded Sliding Bearing, Journal of Friction and Wear,2011,32(1):1~7.
[62] Yilan Kang, Xuehui Lin, Qinghua Qin, Inverse/genetic method and itsapplication in identification of mechanical parameters of interface in composite,Composite Structures,2004,66(1-4):449~458.
[63] Wang J.，Qin Q.H.，Kang Y.L., et al,―Viscoelastic adhesive interfacial modelandexperimental characterization for interfacial parameters‖, Mechanics of Materials,2010,42(5):537~547
[64]王光宏，蒋平，数据挖掘综述，同济大学学报，2004，32(2)：246~252
[65]郭秀娟，数据挖掘方法综述，吉林建筑工程学院学报，2004，21(1)：49~53
[66]向先全，陶建华，水信息学及其在水环境中的应用研究综述，生态环境学报2009,18(4):1587~1593
[67]Vladimir N. VapniK，统计学习理论的本质，北京：清华大学出版社，2000
[68]闫友彪，陈元琰，机器学习的主要策略综述，计算机应用研究，2004，(7)：4~10
[69]Qian Zhang, Yilan Kang, Chuanyong Qu, Zongxi Cai, Mechanical Model forOperational Loads Prediction on Shield Cutter Head during Excavation,2010IEEE/ASME International Conference on Advanced Intelligent Mechatronics,Montréal, Canada, July6-9,2010,1252~1256
[70]Qian Zhang, Yilan Kang, Zongxi Cai, Haifeng Zhao, Pengcheng Su, A NonlinearMultiple Regression Model for Load Identification of Shield Machine Co mbinedwith Mechanical Analysis, The8th International Conference on Fuzzy Systemsand Knowledge, Shanghai, China,2011
[71]J. Hassanpour, J. Rostami, J. Zhao. A new hard rock TBM performance predictionmodel for project planning, Tunnelling and Underground Space Technology2011,26:595~603
[72]Saffet Yagiz, HalilKarahan. Prediction of hard rock TBM penetration rate usingparticle swarm optimization, International Journal of Rock Mechanics&MiningSciences,2011,48:427~433
[73]S. Yagiz, C.Gokceoglu, E.Sezer, et al, Application of two non-linear predictiontools to the estimation of tunnel boring machine performance, EngineeringApplications of Artificial Intelligence,2009,22:808~814
[74]Saffet Yagiz. Utilizing rock mass properties for predicting TBM performance inhard rock condition, Tunnelling and Underground Space Technology,2008,23:326~339
[75]O. Acaroglu. Prediction of thrust and torque requirements of TBMs with fuzzylogic models, Tunnelling and Underground Space Technology,2011,26:267~275
[76]O. Acaroglu, L. Ozdemir, B. Asbury. A fuzzy logic model to predict specificenergy requirement for TBM performance prediction, Tunnelling andUnderground Space Technology,2008,23:600~608
[77]JAVAD Gholamnejad, NARGES Tayaran. Application of artificial neuralnetworks to the prediction of tunnel boring machine penetration rate, MiningScience and Technology,2010,20:0727~0733
[78]M. Alvarez Grima, P. A. Bruines and P. N. W. Verhoef. Modeling Tunnel BoringMachine Performance by Neuro-Fuzzy Methods, Tunnelling and UndergroundSpace Technology,2000,15(3):259~269
[79]Q.M. Gong, J.Zhao, Development of a rock mass characteristics model for TBMpenetration rate prediction, International Journal of Rock Mechanics&MiningSciences,2009,46,8~18
[80]Wei Sun, Junzhou Huo, Jing Chen, et al. Disc cutters’ layout design of thefull-face rock tunnel boring machine (TBM) using a cooperative coevolutionaryalgorithm, Journal of Mechanical Science and Technology2011,25(2):415~427
[81]刘志杰，史彦军，滕弘飞.基于实例推理的全断面岩石隧道掘进机刀盘主参数设计方法，机械工程学报，2010，46(3)：158~164
[82]Jafar Khademi Hamidi, Kourosh Shahriar, Bahram Rezai, et al. Performanceprediction of hard rock TBM using Rock Mass Rating (RMR) system, Tunnellingand Underground Space Technology,2010,25:333~345
[83]Reza Mikaeil, Masoud Zare. Multifactorial fuzzy approach to the penetrabilityclassification of TBM in hard rock conditions, Tunnelling and Underground SpaceTechnology,2009,24,500~505
[84]朱北斗，龚国芳，周如林等.基于盾构掘进参数的BP神经网络地层识别,浙江大学学报（工学版），2011，45（5）：851~857
[85]K. L. Johnsonl，接触力学，北京：高等教育出版社，1992
[86]万治昌，沙明元，周雁领，盘形滚刀的使用与研究—TB880E掘进机在秦岭隧道施工中的应用（1），现代隧道技术，2002，39(5)：1~11.
[87] Nelson, P.P., Ingraffea, A.R., O’rourkei, T.D., Technical note TBM performanceprediction using rock fracture parameters. International Journal of RockMechanics and Mining Sciences and Geomechanic Abstracts,1985,22(3),189~192.
[88]万治昌，沙明元，周雁领，盘形滚刀的使用与研究—TB880E掘进机在秦岭隧道施工中的应用（2），现代隧道技术，2002，39(6)：1~12.