准确划分悬臂掘进机施工围岩对其广泛应用具有重要意义，传统施工围岩分级大都是基于围岩稳定性建立的，而悬臂掘进机具有施工复杂性、动态性和非线性的特点，导致传统施工围岩分级并不适用，因此本文建立了一套基于掘进性能的悬臂掘进机施工围岩分级方法。首先，以贵阳地铁1号线为工程背景，分别对前进速度的时间衰减规律及影响悬臂掘进机利用率的主要地质因素进行分析，建立地层适应性分级评分方法； 其次，在已有的Q分级系统基础上，提出悬臂掘进机围岩适应性分级的BQ机模型，采取钻掘指数RPI和刀具寿命指数CLI对模型进行修正，建立施工可掘进性分级评分方法； 最后，综合考虑施工围岩地层适应性评分方法和可掘进性评分方法，以前进速度AR为指标，建立基于掘进性能的悬臂掘进机施工围岩分级方法。结果表明，本文建立的悬臂掘进机施工围岩分级方法可以实现前进速度AR的预测，从而有效预测掘进性能、节约隧道开挖成本、提高施工效率，为建立具有普适性的悬臂掘进机施工围岩分级方法提供科学参考。

 Accurate division of cantilever machine has important significance to its widely use in the construction of surrounding rock. The traditional construction of surrounding rock classification is mostly based on the stability of surrounding rock. The complexity, dynamic and nonlinear characteristics of cantilever construction of the machine make it not applicable to traditional surrounding rock classification.Hence, a set of cantilever machine construction surrounding rock classification method based on driving performance is established. First, taking Guiyang metro line 1 as the engineering background, the time attenuation law of forward velocity and the main geological factors affecting the utilization rate of cantilever roadheader are analyzed respectively, and the stratum adaptability grading and scoring method is established. Second, on the basis of the existing Q classification system, the BQm model of surrounding rock adaptability classification of cantilever roadheading machine is proposed. Drilling index RPI and tool life index CLI are adopted to modify the model, and the grading and scoring method of construction tunneling ability is established. Finally, comprehensively considering the grading method of stratum adaptability of surrounding rock and the grading method of tunneling ability, and taking the advance speed AR as the index, the construction surrounding rock classification method based on tunneling performance of cantilever roadheader is established. The results show that the method established can realize the prediction of construction speed AR, so as to effectively predict the tunneling performance, save the cost of tunnel excavation, improve the construction efficiency, and provide scientific reference for the establishment of cantilever tunneling machine construction surrounding rock classification method with general applicability.