Optimizing process of preparing artificial-similar material for rocky slope with uniform formula design

Abstract

The determination of material formula needs try-and-error experiment, and consumes large amount of time and fund. In order to solve the problem, a comprehensive method is established, via the experiment of artificial-similar material formula of a mine slope. We controlled the samples by the compactness, and arranged the formula of the test group with the method of the uniform formula experiment. The physical and mechanical parameters of these samples were analyzed using the method of the partial least-squares regression (PLS). And a mathematical model of the indexes of physical and mechanics parameters relating to the factors of formulation constituents was established eventually. We used the model to analyze the effect of each formulation constituent on physical and mechanics parameters of samples. The experiment results and analysis illustrates that 1) in the formulation of similar material, the effect of raw materials on the internal friction angle φ and cohesion C is opposite; 2) The method can highly facilitate the process of the of preparing artificial-similar materials, more economic and effective.

Keywords

fault / artificial-similar material / optimization / uniform formula experiment / multiple independent variable and multiple dependent variable / partial least-squares regression

References

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