Method for building fine grain tailing project property index estimation empirical formula based on multi-element stepwise regression

Abstract

A method for building a fine grain tailing project property index estimation empirical formula based on multi-element stepwise 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 multi-element stepwise regression mathematical model; 5) determining model parameters to obtain an optimal regression equation; 6) 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 prediction method based on multivariate stepwise regression to establish an empirical formula for estimating the engineering property index of fine-grained mine tailings. The empirical formula is based on mathematical statistics and the least square method stepwise regression analysis to quantitatively analyze the engineering property indicators of fine-grained tailings and estimate its empirical formula. Background technique [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 accumulation dams have the highest disease rate. From the perspective of sustainable development and environme...

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Problems solved by technology

[0004] The primary problem in the stability evaluation and design of tailings ponds is to determine the physical and mechanical parameters of the tailings medium. Especially in the preliminary design stage of tailings ponds, there is generally a lack of test data. Even if the project has some test data, it is often due to the High cost and small amount of data, which affects the reliability of design results

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