【摘要】 将Fisher判别理论用于岩体质量分级,建立岩体质量分级的Fisher判别分析模型。选取单轴抗压强度、岩体声波纵波速度、体积节理数、节理面粗糙度系数、节理面风化变异系数、透水性系数6个指标作为岩体质量分级判别因子,以工程岩体实测数据作为学习样本进行训练,建立相应线性判别函数对待判样本进行分级。结果表明,FDA(Fisher Discriminant Analysis)模型稳定可靠、判别精度高、分类性能良好,且有效降低人为因素的影响,是岩体质量等级分类的一种有效方法,可在实际工程中推广应用。更多还原

【Abstract】 Based on Fisher discriminant theory,a Fisher classification model of rock masses quality is established.Six indexes consisting of uniaxial compressive strength,P-wave velocity in rock,volumetric joint count,roughness coefficients of joints,weathering coefficients and permeability coefficient of joints are chosen as discriminant factors,and the linear discriminant functions are obtained to classify the samples which are trained and measured from rock masses engineering.The results show that the FDA model owns stable performance,high prediction accuracy and good classification quality.It can effectively reduce the influence of human factors.As an effective way to make rock mass classification,FDA can be used in practical engineering.更多还原