为量化评价敞开式TBM在复杂地质条件下的施工适应性，解决传统评价方法中指标权重固定及研究对象代表性不足的难题，依托北疆供水二期工程，提出一种基于动态权重的模糊综合评价法。首先，系统分析影响TBM地质适应性的关键因素，选取围岩类别、岩爆、大变形、断层破碎带、富水蚀变带、岩溶发育区、富水裂隙带等7个敏感性指标构建评价指标体系，确定各个评价指标的隶属函数。然后，创新性地引入变权重计算方法，依据不同地质掘进时间与各台设备掘进总时间的比值，计算得到不同地质的变权权重，进而建立适应性模糊综合评价方法。通过模糊运算得到适应性分值，并将其划分为5个适应性等级。最后，对正洞18台敞开式TBM的适应性进行评价，结果表明，适应性差1台，较差2台，一般5台，较好7台，好3台，评价结果与实际掘进情况高度吻合。分析表明，适应性等级为好或较好（85分及以上）的围岩可实现高效掘进，设备平均利用率在35%以上，设备平均完好率在90%以上，平均月进尺在400 m以上。

In order to quantitatively evaluate the adaptability of open-type TBM under complex geological conditions, and to solve the problems of fixed index weights and insufficient representativeness of the research subject in the traditional evaluation methods, the authors propose a fuzzy comprehensive evaluation method based on dynamic weights with the Northern Xinjiang Water Supply Project Phase Ⅱ as the background. First, the key factors affecting the geological adaptability of TBM are systematically analyzed, and seven sensitivity indexes, including surrounding rock class, rockburst, large deformation, fault fracture zone, water-rich alteration zone, karst area, and water-rich fissure zone, are selected to establish the evaluation index system, and the membership function of each evaluation index is determined. Second, the variable weight calculation method is innovatively introduced. Based on the ratio of the tunneling time in different geology to the total tunneling time of each TBM, the variable weight of different geology is calculated, and then the adaptive fuzzy comprehensive evaluation method is established. The adaptability score is obtained through fuzzy operation and divided into five levels. The adaptability of 18 open-type TBMs in the main tunnel is evaluated, and the results show that the adaptability is poor for 1 TBM, limited for 2 TBM, moderate for 3 TBM, good for 7 TBMs, and excellent for 3 TBMs, and the evaluation results are highly consistent with the actual situation. The analysis shows that efficient tunneling can be achieved in the surrounding rock with a score of 85 or more for good or excellent adaptability, which can support efficient tunneling with an average utilization rate of more than 35%, an average availability rate of more than 90%, and an average monthly advance of more than 400 m.