Method for Classifying Rock Mass Quality by Fitting Rock Mass Wave Velocity with Normal Distribution

Abstract

The present invention provides a method for grading rock mass quality by fitting rock mass wave velocities with normal distribution, comprising the following steps: step 1, sorting the measured rock mass wave velocities data from small to large, and counting the number of each wave velocity data, Normalize the wave velocity data probability; Step 2, use the normal distribution probability density function under the least squares method to fit the probability normalized wave velocity data, and obtain the rock mass wave velocity data model function; Step 3, use the normal distribution probability density The function f(x, μ, σ) curve is the inflection point at x=μ±σ. In the rock mass wave velocity data model function F(x), x=μ i ±σ i As the rock mass classification standard value, the expected value and standard deviation in the rock mass wave velocity data model function F(x) are used to classify the rock mass. The invention only uses the normal distribution probability density function in statistics to classify the quality of the rock mass according to the wave velocity value of the rock mass in the work area, which can reduce the workload of field tests on the construction site and significantly improve the work efficiency.

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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