Method for classifying rock mass quality through normal distribution fitting rock mass wave velocities

Abstract

The invention provides a method for classifying rock mass quality through normal distribution fitting rock mass wave velocities. The method comprises the following steps of (1) ranking measured rock mass wave velocity data from small to large, counting the number of the wave velocity data, and normalizing wave velocity data probabilities; (2) utilizing a normal distribution probability density function under a least square method for fitting the wave velocity data with the probabilities being normalized, and obtaining a rock mass wave velocity data model function; (3) utilizing the characteristic that a normal distribution probability density function f (x, mu, sigma) curve is an inflection point at a part with x being equal to mu+ / -sigma, adopting x being equal to mu i+ / -sigma i as a rock mass classification standard value in a rock mass wave velocity data model function F (x), and utilizing an expected value and a standard deviation in the rock mass wave velocity data model function F (x) for carrying out rock mass classification. According to the method provided by the invention, the rock mass quality is classified by utilizing the normal distributionprobability density function in statistics according to the work arearock masswave velocity values, so that the workload of a field test at a construction site can be reduced, and the work efficiency is remarkably improved.

Description

technical field [0001] The invention relates to the technical field of engineering survey and design engineering survey and design, in particular to a method for dividing rock mass quality and grading by fitting rock mass wave velocity with normal distribution. Background technique [0002] At present, in terms of classification of rock mass quality, there are no specific and clear algorithms in the existing water conservancy, electric power, highway, railway and other industry survey fields. Soft rock, soft rock, extremely soft rock) and rock mass integrity (complete, relatively complete, relatively broken, broken, extremely broken) are listed to classify rock mass quality. In actual work, the classification of rock mass quality is generally based on laboratory rock block test results (compressive strength, wave velocity), on-site wave velocity test data and other data combined with empirical values. The outstanding problems are that the calculation method is not clear, pe...

AI Technical Summary

Problems solved by technology

The outstanding problems are that the calculation method is not clear, personal experience is mixed, the grading standard value is not accurate, and the actual situation of the work area is not targeted.

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