Method for building fine grain tailing project property index estimation empirical formula based on linear regression

Abstract

A method for building a fine grain tailing project property index estimation empirical formula based on linear regression includes the following steps: 1) collecting and settling fine grain tailing data physico-mechanical index sample data; 2) adopting the mu+ / -3sigma abnormal value rejection principle to conduct preliminary screening on the sample data; 3) conducting secondary screening on the sample data based on mathematical statistics; 4) building a linear regression mathematical model; 5) determining model parameters; 6) conducting model goodness inspection; 7) building the fine grain tailing project property index estimation empirical formula. The method has the advantages of providing forceful support for scientificity and reliability of a data regression analysis result through massive test data information, providing reliable parameter choice for fine grain tailing base stability evaluation and design in future, greatly saving project investment cost and soil engineering test investment, avoiding unnecessary project building cost, enabling a research result to have popularization and application value and being simple, practical, reliable in result, efficient in computing and the like.

Description

technical field

[0001] The invention belongs to the field of geotechnical engineering investigation and design, and relates to a method for establishing an empirical formula for estimating an engineering property index of fine-grained mine tailings based on linear regression, and specifically relates to establishing an empirical formula for estimating an engineering property index of fine-grained mine tailings based on linear regression analysis. The quantitative analysis of fine-grained tailings engineering property indicators based on mathematical statistics and least squares regression analysis is used to estimate its empirical formula. technical background

[0002] Tailings is a kind of slag, which is discharged in the form of slurry and stored in the tailings pond. The stability of the tailings accumulation dam directly affects the normal use of the tailings pond. Statistical analysis of a large number of tailings pond disease accidents shows that fine-grained tailings ...

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