| description abstract | Given the single and one-sided problems of traditional rock mass structure integrity evaluation methods, this paper will use borehole test data that were obtained by conventional logging methods to extract the key geological data that will be used for integrity evaluation from digital images and digital signals. Based on a comprehensive method of multivariate data analysis, an evaluation method for rock mass structure integrity will be established, which reflects the differences in rock mass structure, rock mass fragmentation, and rock acoustic response. The rock mass combination function [C(h)], rock mass fragmentation function [F(h)], and sound velocity function of a rock mass [U(h)] will be constructed, which could realize the quantitative description of rock mass integrity multiple parameters. Then, the rock mass combination degree, rock mass fragmentation, and rock mass propagation sound velocity parameters will be classified using fuzzy mathematics, and the rock mass structure integrity evaluation index [Mc(h)] based on multivariate data will be constructed. Finally, the method will be combined with practical engineering for verification and analysis. Compared with the traditional evaluation method, the method in this paper considers more factors that affect the stability of rock mass, which combine the degree of rock mass combination, rock mass fragmentation, and rock mass sound velocity. The method in this paper will realize the integrity evaluation of a borehole rock mass structure from different dimensions. Compared with the traditional method, the integrity evaluation results will consider more comprehensive factors. | |
