CN115600510B - Stability evaluation method and system for soil-stone mixture side slope of strip mine dumping site - Google Patents
Stability evaluation method and system for soil-stone mixture side slope of strip mine dumping site Download PDFInfo
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Abstract
The application provides a stability evaluation method and a system for a soil-stone mixture slope of a strip mine dumping site. The method comprises the following steps: determining the displacement of a sample monitoring section in a slope instability stage of the strip mine dumping site and the displacement of the sample monitoring section in a slope displacement gradually-tending stabilization stage of the strip mine dumping site according to a data set constructed by a plurality of groups of numerical values of mechanical parameters of the strip mine dumping site soil and stone mixture based on a pre-established slope excavation numerical model of the strip mine dumping site soil and stone mixture; training a regression prediction model of a pre-constructed mixture of the soil and stones of the strip mine dumping site according to the obtained sample training set; and (3) based on a regression prediction model of the trained mixture of the soil and stones of the strip mine dumping site, evaluating the stability of the mixture of the soil and stones of the strip mine dumping site according to the slope displacement of the target monitoring section at the end of the slope instability stage obtained by the monitoring of the GNSS system on the monitoring line of the strip mine dumping site.
Description
Technical Field
The application relates to the technical field of mining prediction, in particular to a stability evaluation method and system for a soil and stone mixture slope of a strip mine dumping site.
Background
The essence of open pit mining is that rock is crushed into a loose soil-stone mixture for a series of processes such as loading, transportation, dumping, land reclamation and the like, and the soil-stone mixture generated in the process is a complex engineering geological material different from uniform soil and crushed rock mass and is a multiphase system consisting of rock mass with certain size and higher strength, and soil filling components with weaker strength, namely corresponding pores and the like. The intensity of the reconstructed soil-stone mixture, namely the instability mode, is a key for controlling the stability of a stope and a dumping site.
The macroscopic mechanical parameters of the soil-rock mixture are used as main quantitative input indexes in the process of evaluating the stability of the strip mine dumping site, and the reliability of the values directly determines whether the stability evaluation result of the strip mine dumping site is reliable or not.
At present, the macro mechanical parameters of the soil-rock mixture are mainly obtained through indoor tests, and the actual condition of the strip mine dumping site can not be well reflected in terms of accuracy and engineering adaptability due to the non-uniformity of the soil-rock mixture body.
Thus, there is a need to provide a solution to the above-mentioned deficiencies of the prior art.
Disclosure of Invention
The purpose of the application is to provide a stability evaluation method and a system for a soil-stone mixture slope of a strip mine dumping site, so as to solve or alleviate the problems in the prior art.
In order to achieve the above object, the present application provides the following technical solutions:
the application provides a stability evaluation method for a soil-stone mixture slope of a strip mine dumping site, which comprises the following steps:
step S101, determining the displacement of a sample monitoring section in a slope destabilizing stage of the strip mine dumping site and the displacement of the sample monitoring section in a slope displacement gradual stabilizing stage of the strip mine dumping site according to a data set constructed by a plurality of groups of numerical values of mechanical parameters of the strip mine dumping site earth and stone mixture based on a pre-established slope excavation numerical model of the strip mine dumping site earth and stone mixture;
step S102, training a regression prediction model of the mixture of the soil and the stones of the strip mine dumping site, which is constructed in advance, according to the obtained sample training set; the sample training set comprises a plurality of groups of training samples, wherein each group of training samples comprises the displacement of the sample monitoring section in the slope instability stage of the strip mine dumping site, the displacement of the sample monitoring section in the slope displacement gradually stabilizing stage of the strip mine dumping site and the numerical values of the mechanical parameters of the corresponding strip mine dumping site earth-rock mixture;
and step 103, based on a regression prediction model of the mixture of the earth and the stone of the strip mine dumping site after training, evaluating the stability of the mixture of the earth and the stone of the strip mine dumping site according to the slope displacement of the target monitoring section at the end of the slope instability stage obtained by the monitoring of the GNSS system on the monitoring line of the strip mine dumping site.
Preferably, step S101 specifically includes:
based on a pre-established slope excavation numerical model of the mixture of the earth and the stone of the strip mine dumping site, acquiring a plurality of deformation curves on a monitoring line of the strip mine dumping site according to a data set constructed by a plurality of groups of numerical values of mechanical parameters of the mixture of the earth and the stone of the strip mine dumping site;
and determining the displacement of the sample monitoring section in the slope instability stage of the strip mine dumping site and the displacement of the sample monitoring section in the slope displacement gradually stabilizing stage of the strip mine dumping site according to a plurality of deformation curves on the monitoring line of the strip mine dumping site.
Preferably, the obtaining a plurality of deformation curves on a monitoring line of the strip mine dumping site based on a pre-established slope excavation numerical model of the strip mine dumping site soil and stone mixture according to a data set constructed by a plurality of groups of numerical values of mechanical parameters of the strip mine dumping site soil and stone mixture specifically includes:
according to the existing monitoring section line of the mixture of the soil and stones of the strip mine dumping site, calculating the safety coefficient range of the strip mine dumping site on the side slope based on the zhai rattan method
A plurality of groups of numerical values of mechanical parameters of the soil-stone mixture;
the safety coefficient range of the strip mine dumping site on the side slope is as follows
And inputting a plurality of groups of numerical values of mechanical parameters of the soil-stone mixture into a pre-established slope excavation numerical model of the soil-stone mixture of the strip mine dumping site, and obtaining a plurality of deformation curves on a monitoring line of the strip mine dumping site based on an orthogonal test method.
Preferably, the determining the displacement of the sample monitoring section in the slope destabilizing stage of the strip mine dumping site according to the plurality of deformation curves on the monitoring line of the strip mine dumping site, and the displacement of the sample monitoring section in the slope displacement gradual stabilizing stage of the strip mine dumping site specifically comprises:
and determining the displacement of the sample monitoring section of the strip mine dumping site when the slope safety coefficient is 2.0 and the displacement of the sample monitoring section when the slope safety coefficient is 1.0 according to a plurality of deformation curves on the monitoring line of the strip mine dumping site.
Preferably, step S102 includes:
constructing a regression prediction model of the mixture of earth and stones in the strip mine dumping site based on the BP neural network;
and training a constructed regression prediction model of the mixture of the earth and the stone of the dumping site of the strip mine according to the obtained sample training set.
Preferably, before step S101, the method for evaluating the stability of the mixture of earth and stones in the dumping site of the strip mine further includes:
and constructing a slope excavation numerical model of the surface mine dumping site soil and stone mixture according to the slope parameters at the preset monitoring section of the surface mine dumping site, the basic mechanical parameters of the surface mine dumping site soil and stone mixture and the positions of preset slope monitoring points of the surface mine dumping site.
The embodiment of the application also provides a stability evaluation system of a surface mine dumping site soil and stone mixture slope, which comprises:
a displacement amount calculation unit configured to determine a displacement amount of a sample monitoring section in a slope destabilizing stage of the strip mine dumping site and a displacement amount of the sample monitoring section in a slope displacement gradually stabilizing stage of the strip mine dumping site according to a data set constructed by a plurality of sets of numerical values of mechanical parameters of the strip mine dumping site earth-rock mixture based on a pre-established slope excavation numerical model of the strip mine dumping site earth-rock mixture;
the model training unit is configured to train a regression prediction model of the mixture of the soil and stone of the strip mine dumping site, which is constructed in advance, according to the obtained sample training set; the sample training set comprises a plurality of groups of training samples, wherein each group of training samples comprises the displacement of the sample monitoring section in the slope instability stage of the strip mine dumping site, the displacement of the sample monitoring section in the slope displacement gradually stabilizing stage of the strip mine dumping site and the numerical values of the mechanical parameters of the corresponding strip mine dumping site earth-rock mixture;
and the prediction evaluation unit is configured to evaluate the stability of the mixture of the earth and the stone of the strip mine dumping site based on a regression prediction model of the mixture of the earth and the stone of the strip mine dumping site after training is completed and according to the slope displacement of the target monitoring section at the end of the slope instability stage obtained by monitoring of the GNSS system on the monitoring line of the strip mine dumping site.
The beneficial effects are that:
according to the technical scheme for evaluating the stability of the side slope of the soil and stone mixture of the strip mine dumping site, firstly, the displacement of a sample monitoring section of the strip mine dumping site in a side slope test stage and the displacement of a sample monitoring section of the strip mine dumping site in a side slope displacement gradually stabilizing stage are determined according to a data set constructed by a plurality of groups of numerical values of mechanical parameters of the soil and stone mixture of the strip mine dumping site based on a pre-established side slope excavation numerical model of the soil and stone mixture of the strip mine dumping site; then training a regression prediction model of a pre-constructed mixture of the soil and stone of the dumping site of the strip mine according to a plurality of groups of training samples in the sample training set; and finally, based on a regression prediction model of the trained mixture of the soil and stones of the strip mine dumping site, evaluating the stability of the mixture of the soil and stones of the strip mine dumping site according to the slope displacement of the target monitoring section at the end of the slope instability stage obtained by monitoring of the GNSS system on the monitoring line of the strip mine dumping site. By means of the initial value of a sample monitoring section in the strip mine dumping site, and in combination with slope displacement data monitored on site, macroscopic mechanical parameters of a rock-soil body of a target section are automatically inverted through a soil-rock mixture mechanical parameter inversion model (regression prediction model of a soil-rock mixture of the strip mine dumping site), influences of time effect on slope displacement are eliminated, and influences of non-homogeneity of the soil-rock mixture on slope deformation in the prediction process are avoided; and the rock-soil body is not required to be subjected to field sampling and indoor test, so that the method is more convenient and efficient, and the accuracy of acquiring the mechanical parameters of the rock-soil body can be ensured.
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The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiments of the application and together with the description serve to explain the application and do not constitute an undue limitation to the application. Wherein:
fig. 1 is a flow chart of a method for evaluating stability of a mixture slope of a strip mine dump, according to some embodiments of the present application;
FIG. 2 is a schematic diagram of a slope excavation numerical model of a mixture of earth and stones of a strip mine dump according to an embodiment of the present application;
FIG. 3 is a schematic diagram of a GNSS system for slope monitoring in a strip mine dump according to an embodiment of the present application;
fig. 4 is a schematic structural diagram of a stability evaluation system for a mixture slope of a strip mine dump, according to some embodiments of the present application.
Detailed Description
The present application will be described in detail below with reference to the accompanying drawings in conjunction with embodiments. Various examples are provided by way of explanation of the present application and not limitation of the present application. Indeed, it will be apparent to those skilled in the art that modifications and variations can be made in the present application without departing from the scope or spirit of the application. For example, features illustrated or described as part of one embodiment can be used on another embodiment to yield still a further embodiment. Accordingly, it is intended that the present application include such modifications and alterations insofar as they come within the scope of the appended claims or the equivalents thereof.
The existing soil and stone mixture safety risk assessment of the dumping site mainly adopts a method of site sampling and laboratory test, however, the mechanical parameters of the soil and stone mixture are used as quantitative indexes for assessment, and the mechanical parameters in actual engineering are often limited by various factors such as time consumption and labor consumption of the laboratory test, so that the mechanical parameters are difficult to acquire timely and accurately. More importantly, because of the non-average state of the soil-stone mixture, only on-site coring operation is greatly restricted, and no reliable and effective method is available for taking core samples which comprehensively reflect the physical properties of the soil-stone mixture and are effectively used for indoor experiments.
In addition, in the existing evaluation process of the soil and stone mixture of the dumping site through numerical simulation, the displacement of the slope stability when to be measured is selected is random, the displacement from the beginning of the slope displacement to the displacement after the slope displacement is slipped and destroyed is generally used as a training sample, and the influence of the difference of the destruction evolution modes of the soil and stone mixture and the heterogeneity of the soil and stone mixture on the slope displacement in the process is not considered. The method has the problems that firstly, the influence of time effect on the slope displacement is not eliminated, so that the selected slope displacement is difficult to effectively reflect the actual physical parameters of the soil-stone mixture; secondly, the actual deformation rule of the soil-stone mixture is not reflected by combining with the side slope displacement data monitored on site, and the influence of the heterogeneity of the soil-stone mixture on the side slope deformation is ignored.
Based on the above, the applicant provides a stability evaluation technology of a slope of a soil-rock mixture of a strip mine dumping site, wherein a plurality of groups of values of mechanical parameters of the soil-rock mixture and the deformation of the slope are obtained by inputting the measured values of a certain monitoring section (sample monitoring section) and the plurality of groups of values of the mechanical parameters of the soil-rock mixture into a slope excavation numerical model, and the deformation of the plurality of groups of slopes and the plurality of groups of values of the mechanical parameters of the rock-soil mass are used as training samples to train a regression prediction model of the soil-rock mixture of the strip mine dumping site; finally, inputting the slope displacement of the target monitoring section obtained by real-time monitoring on the monitoring line into the regression prediction model after training, inverting the macroscopic mechanical parameters of the soil-stone mixture at the target monitoring section to perform risk assessment on the slope stability of the soil-stone mixture edge, and performing on-site sampling and indoor test on the rock-soil body, thereby being more convenient and efficient and being capable of ensuring the accuracy of obtaining the mechanical parameters of the rock-soil body.
As shown in fig. 1, the method for evaluating the stability of the soil-stone mixture slope of the strip mine dumping site comprises the following steps:
and S101, determining the displacement of a sample monitoring section in a slope destabilizing stage of the strip mine dumping site and the displacement of the sample monitoring section in a slope displacement gradual stabilizing stage of the strip mine dumping site according to a data set constructed by a plurality of groups of numerical values of mechanical parameters of the strip mine dumping site earth and stone mixture based on a pre-established slope excavation numerical model of the strip mine dumping site earth and stone mixture.
In the method, when a slope excavation numerical model of a mixture of the earth and the stone of the strip mine dumping site is established, the slope excavation numerical model of the mixture of the earth and the stone of the strip mine dumping site is established according to the slope parameters at the preset monitoring section (namely the sample monitoring section) of the strip mine dumping site, the basic mechanical parameters of the mixture of the earth and the stone of the strip mine dumping site and the positions of the preset slope monitoring points of the strip mine dumping site.
In the application, a numerical model with a soil-stone mixture side slope is established by taking three-dimensional modeling analysis software (such as FLAC3D or 3 DEC) as a platform. Obtaining basic mechanical parameters of a soil-stone mixture according to historical mining data of a strip mine dumping site, wherein the basic mechanical parameters of the soil-stone mixture are shown in table 1:
in the present application, each interval is along the mining longitudinal direction of the strip mine dumping site
A monitoring line is arranged in the meter, and the corresponding section of each monitoring line is a monitoring section; slope parameters at the preset monitoring section can be obtained through on-site actual measurement; at least 3 predicted slope monitoring points are arranged on each monitoring line, namely the shoulder head, the waist and the toe of the slope of the monitoring section corresponding to the monitoring line.
In the application, the side slope parameters are mainly obtained by measuring the part to be mined of the strip mine dumping site; the parameters of the side slope mainly comprise: slope height, slope rock-soil body weight, slope angle, interface penetration, angle, and equivalent internal friction angle and cohesive force of the rock-soil body.
After obtaining the slope parameters at the sample monitoring section, the basic mechanical parameters of the soil and stone mixture of the strip mine dumping site and the positions of the preset slope monitoring points of the strip mine dumping site, inputting the slope parameters at the sample monitoring section, the basic mechanical parameters of the soil and stone mixture and the positions of the preset slope monitoring points into three-dimensional modeling analysis software, and establishing a model considering the excavation effect; finally, the node and unit information of the model is converted and imported into 3DEC to complete the establishment of the slope excavation numerical model, as shown in figure 2. In the slope excavation numerical model, discrete blocks can mutually rotate, separate and move, so that the large displacement, large rotation and other mechanical behaviors of the soil-stone mixture slope are simulated.
In the method, aiming at the open pit dumping site, the ratio of the shear strength of the sliding surface to the shear stress actually generated is defined as a slope safety coefficient, and when the slope safety coefficient reaches 1.0, the open pit dumping site is at a critical point of slope instability; when the safety coefficient of the side slope reaches 2.0, the side slope displacement of the strip mine dumping site gradually stabilizes.
The existing evaluation of the soil-stone mixture of the dumping site through numerical simulation has the problems that firstly, the influence of time effect on the slope displacement is not eliminated, so that the selected slope displacement is difficult to effectively reflect the actual soil-stone mixture physical parameters; secondly, the actual deformation rule of the soil-stone mixture is not reflected by combining with the side slope displacement data monitored on site, and the influence of the heterogeneity of the soil-stone mixture on the side slope deformation is ignored.
In order to effectively reduce the influence of time effect on slope displacement, in the application, when determining the displacement of a sample monitoring section in a slope instability stage of an open pit dumping site and the displacement of a sample monitoring section in a slope displacement gradually stabilizing stage of the open pit dumping site, firstly, obtaining a plurality of deformation curves on a monitoring line of the open pit dumping site based on a pre-established slope excavation numerical model of an open pit dumping site earth-rock mixture and according to a data set constructed by a plurality of groups of numerical values of mechanical parameters of the open pit dumping site earth-rock mixture; and then, determining the displacement of the sample monitoring section in the slope instability stage of the strip mine dumping site and the displacement of the sample monitoring section when the slope displacement deformation of the strip mine dumping site slows down according to a plurality of deformation curves on the monitoring line of the strip mine dumping site.
Aiming at the problems existing in the existing numerical simulation, in the method, the slope instability and slope displacement gradually become stable as boundaries, and the safety coefficient range of the strip mine dumping site on the slope is calculated based on the zhai rattan method through the existing monitoring section line of the strip mine dumping site
And a plurality of groups of numerical values of mechanical parameters of the soil-stone mixture.
Specifically, according to the existing monitoring section line of the mixture of the soil and stones of the strip mine dumping site, calculating the safety coefficient range of the strip mine dumping site on the side slope based on the zhai rattan method
A plurality of groups of numerical values of mechanical parameters of the soil-stone mixture; then, the safety coefficient range of the surface mine dumping site on the side slope is
And inputting a plurality of groups of numerical values of mechanical parameters of the soil-rock mixture into a pre-established slope excavation numerical model of the soil-rock mixture of the strip mine dumping site, and obtaining a plurality of deformation curves on a monitoring line of the strip mine dumping site based on an orthogonal test method.
And then, determining the displacement of the monitoring section of the strip mine dumping site when the safety coefficient of the side slope is 2.0 and the displacement of the monitoring section of the strip mine dumping site when the safety coefficient of the side slope is 1.0 according to a plurality of deformation curves on the monitoring line of the strip mine dumping site. Namely, when the safety coefficient of the side slope of the monitoring section reaches 2.0, the side slope displacement of the strip mine dumping site becomes stable gradually; the safety coefficient of the monitoring section reaches 1.0, namely the critical point of slope instability of the strip mine dumping site. Therefore, the influence of time effect on the slope displacement is effectively eliminated, so that the slope displacement of the monitoring section can effectively reflect the actual physical parameters of the soil-stone mixture.
In the range of obtaining the slope safety coefficient
Mechanical parameter of earth-stone mixtureAfter a plurality of groups of numerical values are counted, a training sample is input into a slope excavation numerical model through an orthogonal test method to calculate, and a deformation result of a sample monitoring section of the strip mine dumping site when the safety coefficient is 2.0 and the safety coefficient is 1.0 is obtained. Then, the side slope safety coefficient is ranged as
And (3) obtaining a plurality of groups of sample data for regression prediction model training by combining the actual monitoring displacement values of the preset monitoring profile (i.e. the sample monitoring profile) of the strip mine dumping site as training samples, wherein the plurality of groups of numerical values of mechanical parameters of the soil-stone mixture, the deformation result of the sample monitoring profile obtained through slope excavation numerical model calculation when the safety coefficient is 2.0 and the safety coefficient is 1.0. Therefore, the influence of the heterogeneity of the soil-stone mixture on the slope deformation in the prediction process is avoided by combining the slope displacement data monitored on site.
And step S102, training a regression prediction model of a pre-constructed mixture of the soil and stones of the strip mine dumping site according to the obtained sample training set.
In the application, sample data trained by the obtained regression prediction model form a sample training set to train the regression prediction model, specifically, firstly, constructing a regression prediction model of a mixture of earth and stones of a strip mine dumping site based on a BP neural network; and then training a regression prediction model of the constructed mixture of the soil and stones of the strip mine dumping site according to the obtained sample training set.
The sample training set comprises a plurality of groups of training samples, and each group of training samples comprises the displacement of a sample monitoring section in a slope instability stage of the strip mine dumping site, the displacement of a sample monitoring section in a slope displacement gradually stabilizing stage of the strip mine dumping site and the numerical values of mechanical parameters of a soil and stone mixture of the strip mine dumping site corresponding to the displacement of the sample monitoring section.
The regression prediction model is constructed based on a BP neural network architecture, an input layer is mainly composed of internal friction angles and cohesive forces of a soil-stone mixture, the surface of a slope body of a strip mine dumping site is divided into five rock bodies, and the internal friction angles are taken as a component, so that the input layer is provided with 6 nodes in total; the number of hidden layer nodes is determined according to a formula (2), and the formula (2) is as follows:
wherein, the liquid crystal display device comprises a liquid crystal display device,
the number of hidden layer nodes is represented,
representing the number of input layer nodes;
the number of output layer nodes is represented,
。
in the output layer, the slope safety coefficient representing the slope stability is a positive value, the cohesive force and the internal friction angle of each rock body are in a nonlinear relation with the slope safety coefficient, a hyperbolic tangent function tan sig is used as a training transfer function, a trainlm function is used for obtaining a better convergence result, and training of a regression prediction model is completed.
In the regression prediction model training process, the expected error is 0.00001, the learning efficiency is 0.01, and when the error of the convergence function tranlm is smaller than the expected error, the training of the regression prediction model is finished. Meanwhile, in order to avoid the situation that the regression prediction model falls into infinite loop during training, the maximum training frequency of the regression prediction model is set to 50000 times, namely, when the regression prediction model reaches the maximum cycle frequency, the error of a convergence function traplm still cannot meet the expected error, and the final value of the traplm function is taken as the final convergence result, so that the training of the regression prediction model is completed.
And step S103, based on a regression prediction model of the trained mixture of the soil and stones of the strip mine dumping site, evaluating the stability of the mixture of the soil and stones of the strip mine dumping site according to the slope displacement of the target monitoring section at the end of the slope destabilizing stage obtained by the monitoring of the GNSS system on the monitoring line of the strip mine dumping site.
In the application, the slope displacement of a target monitoring surface in a slope instability stage obtained by monitoring by a GNSS system on a monitoring line of a strip mine dumping site is input into a regression prediction model which is completed by training, and macroscopic mechanical parameters of a target monitoring section are output by the regression prediction model, so that an internal friction angle and cohesive force of a soil-rock mixture are obtained; and then, determining the corresponding slope safety coefficient through the mapping relation between the internal friction angle and the cohesive force of the soil-stone mixture and the safety coefficient in the dynamic excavation process of the slope, and realizing the stability evaluation of the soil-stone mixture of the strip mine dumping site. As shown in formula (3):
wherein, the liquid crystal display device comprises a liquid crystal display device,
the slope safety coefficient of the profile is monitored for the target,
to monitor the slope height of the profile for the target,
the slope rock mass weight of the slope is monitored for the target,
to monitor the slope angle of the profile for the target,
to monitor the structural plane penetration of the profile for the target,
the structural plane angle of the profile is monitored for the target,
to monitor the cohesive force of the profile for the target,
the internal friction angle of the profile is monitored for the target,
the normal stiffness of the profile is monitored for the target,
the tangential stiffness of the profile is monitored for the target.
According to the stability evaluation method for the soil and stone mixture of the strip mine dumping site, provided by the application, the initial numerical value of a certain monitoring section in the strip mine dumping site is utilized, macroscopic mechanical parameters of a rock-soil body of a target section can be automatically inverted through the soil and stone mixture physical parameter inversion model (regression prediction model of the soil and stone mixture of the strip mine dumping site), site sampling and indoor test are not needed, convenience and high efficiency are achieved, and accuracy of acquiring the mechanical parameters of the rock-soil body can be guaranteed. In addition, in the training process of the regression prediction model, the slope instability and the slope displacement gradually become stable are used as boundaries, sample data are generated, and the influence of time effect on the slope displacement is effectively eliminated; meanwhile, the influence of the heterogeneity of the soil-stone mixture on the slope deformation in the prediction process is avoided by combining the slope displacement data monitored on site, so that the prediction result of the regression prediction model is more accurate.
FIG. 4 is a schematic structural diagram of a stability assessment system for a strip mine dump soil-stone mixture slope provided in accordance with some embodiments of the present application; as shown in fig. 4, the stability evaluation system of the mixture of earth and stones in the open pit dump comprises:
a displacement amount calculation unit 401 configured to determine a displacement amount of a slope destabilizing stage sample monitoring section of the strip mine dumping site and a displacement amount of a slope displacement gradual stabilizing stage sample monitoring section of the strip mine dumping site based on a pre-established slope excavation numerical model of the strip mine dumping site earth and stone mixture, from a data set constructed of a plurality of sets of numerical values of mechanical parameters of the strip mine dumping site earth and stone mixture;
a model training unit 402 configured to train a regression prediction model of a pre-constructed mixture of earth and stones of the strip mine dumping site according to the obtained sample training set; the sample training set comprises a plurality of groups of training samples, wherein each group of training samples comprises the displacement of a sample monitoring section in a slope instability stage of the strip mine dumping site, the displacement of a sample monitoring section in a slope displacement gradually stabilizing stage of the strip mine dumping site and the numerical values of mechanical parameters of a corresponding strip mine dumping site earth and stone mixture;
the prediction evaluation unit 403 is configured to evaluate the stability of the mixture of the surface mine dumping site earth and stone according to the slope displacement of the target monitoring section at the end of the slope destabilizing phase obtained by the monitoring of the GNSS system on the monitoring line of the surface mine dumping site based on the regression prediction model of the mixture of the surface mine dumping site earth and stone after the training.
The stability evaluation system for the mixture of the soil and the stones in the strip mine dumping site can realize the steps and the flow of the stability evaluation method for the mixture of the soil and the stones in the strip mine dumping site in any embodiment, and achieves the same technical effect, and the stability evaluation system is not repeated one by one.
The foregoing description is only of the preferred embodiments of the present application and is not intended to limit the same, but rather, various modifications and variations may be made by those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principles of the present application should be included in the protection scope of the present application.
Claims (4)
1. The method for evaluating the stability of the soil-stone mixture side slope of the strip mine dumping site is characterized by comprising the following steps:
s101, calculating that the safety coefficient range of the strip mine dumping site on a side slope is based on a zhai rattan method according to the existing monitoring section line of the strip mine dumping site earth and stone mixture
Inputting a plurality of groups of numerical values of mechanical parameters of the soil-stone mixture, inputting a pre-established slope excavation numerical model of the soil-stone mixture of the strip mine dumping site, and obtaining a plurality of deformation curves on a monitoring line of the strip mine dumping site based on an orthogonal test method to determine that the displacement of a sample monitoring section of the strip mine dumping site when the safety coefficient reaches 1.0 is the displacement of the sample monitoring section in a slope destabilization stage, and the displacement of the sample monitoring section when the safety coefficient reaches 2.0 is the displacement of the sample monitoring section in a slope displacement gradual stabilization stage;
step S102, training a regression prediction model of the mixture of the soil and the stones of the strip mine dumping site, which is constructed in advance, according to the obtained sample training set; the sample training set comprises a plurality of groups of training samples, wherein each group of training samples comprises the displacement of the sample monitoring section in the slope instability stage of the strip mine dumping site, the displacement of the sample monitoring section in the slope displacement gradually stabilizing stage of the strip mine dumping site and the numerical values of the mechanical parameters of the corresponding strip mine dumping site earth-rock mixture;
and step 103, based on a regression prediction model of the mixture of the earth and the stone of the strip mine dumping site after training, evaluating the stability of the mixture of the earth and the stone of the strip mine dumping site according to the slope displacement of the target monitoring section at the end of the slope instability stage obtained by the monitoring of the GNSS system on the monitoring line of the strip mine dumping site.
2. The method for evaluating the stability of a soil-stone mixture slope of a strip mine dumping site as set forth in claim 1, wherein step S102 includes:
constructing a regression prediction model of the mixture of earth and stones in the strip mine dumping site based on the BP neural network;
and training a constructed regression prediction model of the mixture of the earth and the stone of the dumping site of the strip mine according to the obtained sample training set.
3. The method for evaluating the stability of a mixture slope of a strip mine dumping site earth and stone as in any one of claims 1-2, wherein prior to step S101, said method for evaluating the stability of a mixture of a strip mine dumping site earth and stone further comprises:
and constructing a slope excavation numerical model of the surface mine dumping site soil and stone mixture according to the slope parameters at the preset monitoring section of the surface mine dumping site, the mechanical parameters of the surface mine dumping site soil and stone mixture and the positions of the preset slope monitoring points of the surface mine dumping site.
4. A stability evaluation system for a mixture slope of earth and rock in a strip mine dump, comprising:
a displacement calculating unit configured to calculate a slope safety factor range of the strip mine dumping site based on a rattan method according to an existing monitoring section line of the strip mine dumping site earth and stone mixture
Inputting a plurality of groups of numerical values of mechanical parameters of the soil-stone mixture, inputting a pre-established slope excavation numerical model of the soil-stone mixture of the strip mine dumping site, and obtaining a plurality of deformation curves on a monitoring line of the strip mine dumping site based on an orthogonal test method to determine that the displacement of a sample monitoring section of the strip mine dumping site when the safety coefficient reaches 1.0 is the displacement of the sample monitoring section in a slope destabilization stage, and the displacement of the sample monitoring section when the safety coefficient reaches 2.0 is the displacement of the sample monitoring section in a slope displacement gradual stabilization stage;
the model training unit is configured to train a regression prediction model of the mixture of the soil and stone of the strip mine dumping site, which is constructed in advance, according to the obtained sample training set; the sample training set comprises a plurality of groups of training samples, wherein each group of training samples comprises the displacement of the sample monitoring section in the slope instability stage of the strip mine dumping site, the displacement of the sample monitoring section in the slope displacement gradually stabilizing stage of the strip mine dumping site and the numerical values of the mechanical parameters of the corresponding strip mine dumping site earth-rock mixture;
and the prediction evaluation unit is configured to evaluate the stability of the mixture of the earth and the stone of the strip mine dumping site based on a regression prediction model of the mixture of the earth and the stone of the strip mine dumping site after training is completed and according to the slope displacement of the target monitoring section at the end of the slope instability stage obtained by monitoring of the GNSS system on the monitoring line of the strip mine dumping site.
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