Research On Restoration And Optimization Of Uranium Tailings Dam Vibration Experimental Data

Uranium tailings dam is an artificial embankment-shaped dam formed after several years of accumulation of slag from uranium ore smelting.Tailings dam accidents caused by various factors have been emerging one after another,among which earthquakes are one of the main factors leading to tailings dam accidents.Based on the variation law of the vibration experimental data of a uranium tailings dam,this paper proposes a method to restore the experimental data and optimize the data sample capacity.In the first chapter,the background and significance of tailings dam research are mainly described.This paper summarizes the current research status of tailings dam dynamic characteristics and vibration experiments at home and abroad,and briefly introduces the basic concepts and basic methods used in this paper.In the second chapter,in view of the problem that the complete data of the cumulative concentration of radon escaping from the uranium tailings dam cannot be obtained due to the limitation of the experimental conditions,this paper first proposes a structural reduction method based on the variation law of the inclination angle and the deviation angle of the deviation angle.On the basis of the pre-experiment data collected,the data is first filtered and noise-reduced,and then according to the theoretical variation law of the inclination angle of the actual data,the method of decreasing the mean value of the inclination angle is used to reconstruct the experimental theoretical data,and finally different vibrations are obtained.Stable value of cumulative concentration of radon escaping from tailings dam under conditions.In the third chapter,the application of the data deflection angle mean decreasing method to the results of the uranium tailings dam vibration test data is analyzed,and it is found that the variation law of the inclination angle of the restored data can be further analyzed.The weight coefficient of the decreasing deflection angle makes the change of the inclination angle of the restored data more consistent with the change of the theoretical data,and obtains the stable value of the cumulative concentration of radon escaping from the tailings dam under different vibration conditions.In the fourth chapter,the sample capacity of tailings dam vibration experiment data is often sampled with reference to similar experiments in the past,and there is no scientific determination method.In this paper,for arctangent data,based on the restored data,a sample size optimization method is proposed.First,the data is sampled to obtain sampling samples with different sample spacings.Then,perform arc tangent function fitting on different samples to obtain the corresponding fitting function.Next,the determination coefficient of sample is designed by measuring the representativeness of the fitting functions of different samples to the restored data.Finally,under the premise of meeting the requirements of experimental accuracy,the optimized data sample capacity under different vibration conditions is obtained.In the fifth chapter,the achievements and shortcomings of the work of this paper are summarized,and the future work is prospected.