岩体单轴抗压强度σcm是影响隧道掘进机（tunnel boring machine，简称TBM）围岩开挖及支护优化的重要力学参数之一。为实现TBM工程中现场岩体力学参数的快速准确评估，基于我国4条典型的长距离硬岩隧洞详细编制了包含159组岩体特征、掘进参数、技术指标的TBM综合数据库，提出并推导了适用于TBM刀盘破岩系统的掘进比能SETBM理论方程，建立了SETBM与σcm之间的经验模型，并对其有效性进行验证和讨论。研究结果表明：相比于现场贯入度指数FPI，SETBM有效消除了TBM掘进参数和技术指标差异化带来的影响，可作为准确评估岩体可掘性的新可靠指标。依据4种岩体分类标准或系统获取的岩体单轴抗压强度经验关系均表现较好（决定系数R2>0.84），其中基于岩体完整性指数Kv的预测模型性能最佳。利用上下限方程修正后的岩体单轴抗压强度预测新模型的平均相对误差为11.37%，总体预测精度较高。利用海量的TBM掘进参数可以为现场岩体单轴抗压强度的快速估算提供一种新的思路。Uniaxial compressivestrength σcm ofrock mass is a crucial mechanical parameters affecting the excavation andsupport optimization of tunnel boring machine (TBM) surrounding rock. To rapidly and accurately evaluate in-situ rockmass mechanical parameters in TBM engineering

a comprehensive TBM databasewith 159 sets of rock mass characteristics

tunneling parameters

and technicalindexes was developed from four typical long-distance hard rock tunnels inChina. Additionally

the specific energy SETBM theoretical equation

suitable for the TBM cutterhead rock breaking system

was proposed and derived.The empirical model between SETBM and σcm was established

and itsvalidity was verified and discussed. The results show that

compared to FPI

SETBM effectively eliminatesthe influence of varying TBM excavation parameters and technical indexes

serving as a new reliable index for accurately evaluating rock mass excavatability.The empirical relationship of uniaxial compressive strength of rock mass derivedfrom four rock mass classification criteria demonstrates strong performance (coefficientof determination R2>0.84)

with the prediction model based on rock mass integrityindex Kv exhibiting the best performance. The new model’saverage relative error for predicting uniaxial compressive strength of rockmass

modified by upper and lower limit equations

is 11.37%

indicating highoverall prediction accuracy. Utilizing extensive TBM tunneling parametersoffers a novel approach to quickly estimate the uniaxial compressive strengthof in-situ rock mass.