中文摘要：

提出一种基于力学分析的全断面岩石隧道掘进机（Tunnel boring machine,TBM）掘进装备总推力的预测建模方法。在TBM装备掘进过程中,总推力的影响因素多且复杂,主要包括施工地质条件、装备结构特征、装备掘进状态等几类核心参量。从分析装备与地质间相互作用的力学特征入手,通过求解滚刀与岩石接触弧线上岩石单元体的极限应力状态,建立能反映地质、操作等关键参量影响的刀盘破岩力计算表达式。在刀盘载荷分析基础上,补充考虑装备护盾、后续设备等部件上作用的载荷分量,建立TBM装备掘进总推力预测模型,并结合我国两个典型工程案例对所建模型进行分析与验证。进一步引入单位贯入度对应总推力值,作为讨论TBM载荷地质适应性的指标,近似剥离操作参数的影响,分析载荷与地质参数间的内在相关关系。分析结果表明,在各个地质参数中,单轴抗压强度是对掘进总推力起到核心影响的关键地质参数,与单位贯入度对应的总推力间存在近似的线性关系。本工作可对不同地质条件与不同操作状态下,TBM装备掘进总推力进行预估计算,为装备载荷的优化设计与智能控制提供参考依据。

英文摘要：

A predictive model of thrust force requirements for tunnel boring machines（TBMs） is proposed, which is based on the method of mechanical analysis. When TBM is advancing, there are plenty influence factors including geological conditions, operating status as well as TBM’s structural features. Mechanics characteristics of the interaction between equipment and ground is analyzed. By calculating the limit stress state of rock elements in contact with the arc surface of cutter, a mathematic formula of the force acting on rock by cutterhead is presented, which is able to reflect influences of geological, operating, and structural parameters. Besides cutterhead, thrust components acting on shield and subsequent equipment are also taken into consideration. These three load components make up the total thrust force requirements for TBMs. Then two typical engineering cases in China are involved in model analysis and verification. Furthermore, the total thrust corresponding to unit penetration as an index for the discussion of TBM geological adaptability is introduced. By eliminating the influence of operating parameters, it is proper to analyze the intrinsic correlation between the thrust and geological parameters. It is indicated that uniaxial compressive rock strength（UCS） is the critical factor among various geological parameters. There is an approximately linear relationship between the UCS and the total thrust corresponding to unit penetration. This work can be used not only to estimate the total thrust requirements of TBMs under different geological and operating conditions, but also to provide the reference for equipments’ optimization design and intelligent control.