Font Size: a A A

Study On Stability Of Open-pit Mine Slope Based On Neutrosophic Interval Function

Posted on:2021-05-11Degree:MasterType:Thesis
Country:ChinaCandidate:Q K HouFull Text:PDF
GTID:2381330611972389Subject:Engineering
Abstract/Summary:PDF Full Text Request
Mineral resources are an important material foundation for ensuring the rapid development of the national economy.With the development of mining technology,the height of open-pit mine slopes has gradually increased,and more and more deep-pit and large-scale mines have also resulted in the worsening of slope stability and safety.The engineering geological conditions of the mine slope are complex.Among them,the rock mass structural surface is the key factor controlling the stability of the slope,but the internal and external dynamic factors that promote the evolution of the structural surface are abundant.There is uncertainty in the value of surface parameters,and it is difficult to guarantee the results of slope stability evaluation.For this reason,this paper studies the uncertainty of the geometric parameters and mechanical parameters of the structural planes in the calculation of the slope stability of open-pit mines.In combination with the mid-range interval function,it can better express the characteristics of uncertainty and stabilize the slope Comprehensive evaluation.The main contents are as follows:(1)The calculation of slope stability is a prerequisite for slope stability evaluation.Among them,the orientation of the potential slip surface has a great impact on the stability of the slope.The determination of the potential slip surface is generally obtained by structural surface cluster analysis.Aiming at the inability of traditional structural surface clustering analysis methods to remove the influence of "noise" and causing deviations in the clustering process and clustering results,a clustering analysis method for rock mass structural surface superiority occurrences based on the net-composition algorithm was proposed.The comparison with 5 traditional cluster analysis methods shows that: the advantages obtained by this method are consistent with each method and have good applicability;there is no need to specify the initial grouping number or initial cluster center in advance,which reduces the subjectivity of human interference.The clustering process is more reliable;it can effectively remove "noise" data and make the clustering results more accurate.The analysis of engineering cases shows that the net-making algorithm is effective and reasonable in the clustering analysis of dominant occurrences of structural planes.This research method can quickly and accurately obtain the predominant occurrence of structural planes in engineering rock masses,and provide a basis for determining the orientation of potential slip planes.This ensures the accuracy of the geometric parameters of structural planes in the calculation of slope stability.The evaluation of body stability is of great significance.(2)Structural surface roughness is an important mechanical parameter for controlling rock mass stability.Aiming at the problem that the reasonable number of samples cannot be determined during the statistical measurement of the roughness of the structural surface,a method for determining the minimum number of samples based on the analysis of the coefficient of variation ratio and the principle of simple random sampling is proposed.Taking the surface data of the actual engineering rock mass structural surface as the research object,the minimum number of statistical measurements determined by the two methods under the series sizes is compared and analyzed.The example analysis shows that the coefficient of variation(CV)value of the small size sample is significantly larger than that of the large size sample,and the CV value decreases with the increase of the sample size.The CV value of the sample size of 10-50 cm is basically stable between 0.31 and 0.47.The CV value of the sampling size of 60 to 100 cm is basically stable between 0.21 and 0.31;the minimum sample number and the sampling size basically meet the power function relationship,and the minimum sample number decreases with the increase of the sampling size;the lower-level ratio analysis method of the series size The minimum number of samples determined when the allowable error is ± 2% is consistent with the minimum number of samples calculated by the simple random sampling principle when the maximum allowable error is 10% and the confidence is 95%,and the similarity is greater than 0.997.This research method can provide a basis for quantitatively obtaining the minimum number of structural surface roughness statistical measurements in engineering rock masses,ensuring the accuracy of statistical measurement results of structural surface roughness coefficients(JRCs),and evaluating structural surfaces in engineering rock mass stability evaluation.The accurate acquisition of mechanical parameters is of great significance.(3)Aiming at the uncertainty values of the geometric parameters and mechanical parameters of the structural plane in the calculation of the stability of the mine slope,a comprehensive evaluation method of the stability of the open-pit mine slope based on the mid-intellect interval function is proposed.For the uncertainty of geometric parameters,combined with the neutrosophic interval function to obtain the expression of the neutrosophic interval function of the superiority of the structural plane;for the uncertainty of the mechanical parameters,the nonlinear fitting of the structural plane JRC is performed to obtain the structure under the condition of size Neutrosophic interval function expression of JRC.Then,based on the JRC-JCS model,the neutrosophic interval function expression of the shear strength of the structural plane is obtained.Based on this,the neutrosophic interval of the slope stability coefficient is calculated by the limit equilibrium method.The evaluation of the stability of engineering examples shows that this method can effectively include the uncertainty of the geometric parameters and mechanical parameters of the structural plane in an interval,and make the slope stability evaluation results more reasonable and reliable.This research method can provide a basis for the uncertainty of quantitative expression parameters in engineering rock masses,ensure the reliability of the slope stability calculation process,and provide a reference for the stability analysis of open-pit mine slopes.
Keywords/Search Tags:slope stability, neutrosophic interval function, rock joints, clustering analysis, minimum sample number
PDF Full Text Request
Related items