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针对岩体质量分级判别中等级评价中许多不确定性影响因素,基于未确知测度理论,选用岩石质量指标、完整性系数、单轴饱和抗压强度、纵波波速、弹性抗力系数和结构面摩擦因数等6个指标作为岩体质量分级的判别因子,建立岩体质量分级评价的未确知均值聚类分析模型;以30组岩体质量实测数据作为训练样本,建立各评价因子的未确知测度函数,用各分类样本平均值表示其分类中心;根据信息熵理论计算各评价因子的权重,依照置信度识别准则进行等级判定;用建立的模型对30组实测数据逐一进行回检,正确率为100%。将建立的模型对待分类的7个样本进行测试,并与实际结果进行比较。研究结果表明:该模型判别预测结果与其他方法有较好的一致性,且预测等级与实际结果吻合,进而为工程岩体质量分级判别提供了一种新思路。
Based on the unascertained measure theory, rock mass index, integrity coefficient, uniaxial saturated compressive strength, longitudinal wave velocity, elastic resistance coefficient and structural surface friction are selected according to many uncertain factors in mid-level evaluation of rock mass classification. And six factors as the discriminant of the mass classification of the rock mass to establish the unascertained average cluster analysis model of the mass classification evaluation of the rock mass.Using 30 groups of measured data of mass of rock mass as the training samples to establish the uncertainty of each evaluation factor According to the information entropy theory, the weight of each evaluation factor is calculated, and the grade is judged according to the confidence criteria. The measured data of 30 groups are tested one by one with the established model, and the correct rate It is 100%. The seven models of the model to be classified were tested and compared with the actual results. The results show that the model predictions are in good agreement with other methods, and the prediction levels are in good agreement with the actual ones, which provides a new idea for the classification of rock mass quality.