A method for predicting the shear strength of unsaturated ionic rare earth ores considering the influence of leaching agents

Abstract

The present invention belongs to the field of prediction, and proposes a method for predicting the shear strength of unsaturated ionic rare earth ores taking into account the influence of a leaching agent. By determining the influence of the leaching agent on the shear strength index of unsaturated soil under the comprehensive action of multiple factors, the prediction deviation problem caused by considering a single factor is avoided, and the prediction result is closer to the actual situation. At the same time, the leaching agent is incorporated into the model as a new consideration factor, and the accuracy of the overall prediction is further improved. Then, the quantitative relationship between the leaching agent and the multiple factors, as well as the quantitative relationship within each factor, are constructed, thereby constructing an unsaturated soil shear strength model taking into account the leaching agent, so as to improve the authenticity of the prediction, and the prediction results and model parameters are verified and calibrated, so as to further enhance the applicability of the model. The present invention improves the accuracy of the shear strength prediction method of unsaturated ionic rare earth ores.

Description

Technical Field

[0001] The invention belongs to the field of prediction, and in particular relates to a method for predicting the shear strength of unsaturated ionic rare earth ores taking into account the influence of leaching agents. Background Art

[0002] With the rapid development of high-tech manufacturing industry, rare earth resources have become extremely important, especially heavy rare earth, which plays a vital role. Heavy rare earth usually exists in the ore body in the form of rare earth ions, which are referred to as ionic rare earth ores. In order to respond to the needs of green production, soil remediation and ecological restoration of ionic rare earth mines have become increasingly urgent. Whether it is using physical, chemical and microbial methods to treat excessive ammonium nitrogen concentration in the in-situ ore body, or designing retaining walls to reinforce artificial soil slopes, clarifying the strength characteristics of ionic rare earth tailings in an unsaturated state is of great significance for maintaining the long-term stability of tailings slopes.

[0003] In the prior art, the models for predicting the strength of unsaturated soil in the engineering industry are usually single-variable strength models or double-variable strength models. The shear strength of unsaturated ionic rare earth ores is affected by a variety of factors, either individually or in combination. The existing unsaturated soil strength prediction models cannot meet the requirements for predicting the shear strength of unsaturated ionic rare earth ores. In particular, there is a lack of prediction methods and models that can consider the concentration of leaching agents, which results in inaccurate prediction of the shear strength of unsaturated ionic rare earth ores and a large deviation between the prediction results and the actual situation.

[0004] Therefore, how to design a method to predict the shear strength of unsaturated ionic rare earth ores so that the prediction results are closer to the actual situation and the prediction accuracy is improved has become an urgent problem to be solved. Summary of the invention

[0005] Based on this, the present invention provides a method for predicting the shear strength of unsaturated ionic rare earth ores taking into account the influence of leaching agents. By determining the degree of influence of leaching agents on the shear strength index of unsaturated soil under the comprehensive action of multiple factors, the prediction deviation problem caused by considering a single factor is avoided, and the prediction result is closer to the actual situation. At the same time, the leaching agent is incorporated into the model as a new consideration factor, which further improves the accuracy of the overall prediction. The quantitative relationship between the leaching agent and multiple factors, as well as the quantitative relationship within each factor, are constructed, thereby constructing an unsaturated soil shear strength model taking into account the leaching agent to improve the authenticity of the prediction, and the prediction results and model parameters are verified and calibrated to further enhance the applicability of the model. The present invention improves the accuracy of the shear strength prediction method of unsaturated ionic rare earth ores.

[0006] The present invention proposes a method for predicting the shear strength of unsaturated ionic rare earth ores taking into account the influence of leaching agents, comprising:

[0007] Determine the influence degree of the leaching agent on the shear strength index of unsaturated soil under the comprehensive action of multiple factors, wherein the influencing factors of the leaching agent on the shear strength index of the unsaturated soil include the type of leaching agent and the concentration of the leaching agent;

[0008] Constructing a first quantitative relationship between the leaching agent and the shear strength index of saturated soil, wherein the shear strength index of saturated soil includes effective cohesion and effective internal friction angle;

[0009] constructing a second quantitative relationship between the leaching agent and the shear strength index of the unsaturated soil affected by the leaching agent, wherein the shear strength index of the unsaturated soil includes unsaturated cohesion and unsaturated internal friction angle;

[0010] A third quantitative relationship between Bishop's effective stress parameter and saturation is constructed, and parameter calibration is performed according to the unsaturated cohesion, the effective cohesion and the soil-water characteristic curve;

[0011] According to Bishop's univariate strength algorithm, the first quantitative relationship, the second quantitative relationship and the third quantitative relationship, the unsaturated soil shear strength model considering the leaching agent is constructed;

[0012] According to the unsaturated soil shear strength model considering the leaching agent, the shear strength of unsaturated ionic rare earth ore under different leaching agents is predicted, and the prediction accuracy of the unsaturated soil shear strength model considering the leaching agent is verified.

[0013] In summary, according to the above-mentioned method for predicting the shear strength of unsaturated ionic rare earth ores considering the influence of leaching agents, by determining the influence of leaching agents on the shear strength index of unsaturated soil under the comprehensive action of multiple factors, the prediction deviation problem caused by considering a single factor is avoided, and the prediction result is closer to the actual situation. At the same time, the leaching agent is incorporated into the model as a new consideration factor, which further improves the accuracy of the overall prediction, and then constructs the quantitative relationship between the leaching agent and multiple factors, as well as the quantitative relationship within each factor, so as to construct an unsaturated soil shear strength model considering the leaching agent to improve the authenticity of the prediction, and the prediction results and model parameters are verified and calibrated to further enhance the applicability of the model. The present invention improves the accuracy of the shear strength prediction method of unsaturated ionic rare earth ores. Specifically, the influence degree of the leaching agent on the shear strength index of unsaturated soil under the comprehensive action of multiple factors is determined. The influencing factors of the leaching agent on the shear strength index of unsaturated soil include the type of leaching agent and the concentration of the leaching agent, which avoids the prediction deviation problem caused by the consideration of a single factor, making the prediction result closer to the actual situation. At the same time, the leaching agent is included in the model as a new consideration factor, which further improves the accuracy of the overall prediction, and constructs the first quantitative relationship between the leaching agent and the shear strength index of saturated soil. The shear strength index of saturated soil includes effective cohesion and effective internal friction angle. The second quantitative relationship between the leaching agent and the shear strength index of unsaturated soil affected by the leaching agent is constructed. The unsaturated soil shear strength index includes unsaturated cohesion and non Saturated internal friction angle, construct the third quantitative relationship between Bishop's effective stress parameter and saturation, calibrate parameters according to the unsaturated cohesion, the effective cohesion and the soil-water characteristic curve, construct an unsaturated soil shear strength model considering the leaching agent according to the Bishop univariate strength algorithm, the first quantitative relationship, the second quantitative relationship and the third quantitative relationship to improve the authenticity of the prediction, predict the shear strength of unsaturated ionic rare earth ores under different leaching agents according to the unsaturated soil shear strength model considering the leaching agent, and verify the prediction accuracy of the unsaturated soil shear strength model considering the leaching agent to further enhance the applicability of the model. The present invention improves the accuracy of the shear strength prediction method of unsaturated ionic rare earth ores.

[0014] Furthermore, the step of determining the influence of the leaching agent under the comprehensive action of multiple factors on the shear strength index of unsaturated soil specifically includes:

[0015] By performing orthogonal shearing processing, data on the comprehensive effects of multiple factors are obtained, wherein the comprehensive effects of multiple factors include dry density, moisture content, type of leaching agent, concentration of leaching agent and soil particle gradation;

[0016] According to the data processing results of the comprehensive effect of multiple factors, it is determined that the leaching agent only has an impact on the internal friction angle of unsaturated soil, and the level of the impact is a significant impact level.

[0017] Furthermore, the step of constructing a first quantitative relationship between the leaching agent and the shear strength index of saturated soil specifically includes:

[0018] Obtain parameter data of the penetration suction of the salt solution in the leaching agent to quantify the leaching agent;

[0019] According to the penetration suction of the salt solution, a first quantitative relationship between the leaching agent and the effective cohesion and the effective internal friction angle is determined, and the first quantitative relationship is specifically as follows:

[0020] ,

[0021] in, , It represents the effective cohesion and effective internal friction angle under different leaching agent concentrations. , They represent the effective cohesion and the effective internal friction angle when the pore solution of the ore body is deionized water, and the concentration of the leaching agent of the deionized water is 0. , represents the slope parameter, represents the solution penetration suction, is standard atmospheric pressure, =101.3 kPa.

[0022] Furthermore, the step of constructing a second quantitative relationship between the leaching agent and the shear strength index of the unsaturated soil affected by the leaching agent specifically includes:

[0023] The moisture content range is divided into regions according to the strongly adsorbed water content and the intake water content, and the divided regions are the strongly adsorbed region, the transition region and the saturated region.

[0024] According to the influence of the leaching agent on the unsaturated internal friction angle, the unsaturated internal friction angle is converted into a quantifiable shear deformation parameter;

[0025] A second quantitative relationship between the shear deformation parameter and the leaching agent is constructed, and the second quantitative relationship is as follows:

[0026] ,

[0027] in, It represents the shear deformation parameter under different leaching agent concentrations, L , G , T represents the fitting parameters, Indicates the moisture content of strongly adsorbed water, Indicates the moisture content of the intake air. represents the saturated moisture content, Indicates the moisture content, represents the solution penetration suction, is standard atmospheric pressure, = 101.3 kPa.

[0028] Furthermore, the step of constructing the third quantitative relationship between the Bishop effective stress parameter and the saturation specifically includes:

[0029] Determine the incremental relationship between pore water volume change and soil volume change;

[0030] A third quantitative relationship between Bishop's effective stress parameter and saturation is constructed according to the incremental relationship. The third quantitative relationship is as follows:

[0031] ,

[0032] in, represents the Bishop effective stress parameter, Indicates saturation, ( 1) (0 1) represents the fitting parameters.

[0033] Furthermore, the unsaturated soil shear strength model considering the leaching agent specifically includes:

[0034] The specific algorithm of the unsaturated soil shear strength model considering the leaching agent is as follows:

[0035] ,

[0036] in, represents the shear strength model of unsaturated soil considering leaching agent, , They represent the effective cohesion and effective internal friction angle at different leaching agent concentrations, represents the Bishop effective stress parameter, It represents the shear deformation parameter under different leaching agent concentrations, represents the matrix suction associated with the soil-water characteristic curve, represents the total stress.

[0037] Furthermore, the step of verifying the prediction accuracy of the unsaturated soil shear strength model considering the leaching agent specifically includes:

[0038] After determining the actual predicted leaching agent type, the leaching agent concentration is taken as a single variable, and the shear strength index of saturated ionic rare earth ore under different leaching agent concentrations is obtained by performing triaxial consolidation undrained or slow shear treatment to calibrate the slope parameter;

[0039] The shear deformation parameters are calculated according to the Mohr-Coulomb strength algorithm and the Bishop univariate strength algorithm. The specific algorithm for calculating the shear deformation parameters is as follows:

[0040] ,

[0041] in, is the shear deformation parameter, represents the unsaturated internal friction angle, represents the effective internal friction angle;

[0042] The fitting parameters are calibrated according to the shear deformation parameters L , G , T ;

[0043] According to the Mohr-like Coulomb strength algorithm and the Bishop univariate strength algorithm, the Bishop effective stress parameter is calculated. The specific algorithm for calculating the Bishop effective stress parameter is as follows:

[0044] ,

[0045] in, represents the Bishop effective stress parameter, represents the unsaturated cohesion, Indicates effective cohesion, It represents the matrix suction related to the soil-water characteristic curve;

[0046] The fitting parameters were calibrated according to the Bishop effective stress parameters. , .

[0047] The present invention proposes a shear strength prediction system for unsaturated ionic rare earth ores taking into account the influence of leaching agents, comprising:

[0048] An influence degree determination module is used to determine the influence degree of the leaching agent on the shear strength index of unsaturated soil under the comprehensive action of multiple factors, and the influence factors of the leaching agent on the shear strength index of the unsaturated soil include the type of leaching agent and the concentration of the leaching agent;

[0049] A quantitative relationship building module, used to build a first quantitative relationship between the leaching agent and the shear strength index of saturated soil, wherein the shear strength index of saturated soil includes effective cohesion and effective internal friction angle;

[0050] constructing a second quantitative relationship between the leaching agent and the shear strength index of the unsaturated soil affected by the leaching agent, wherein the shear strength index of the unsaturated soil includes unsaturated cohesion and unsaturated internal friction angle;

[0051] A third quantitative relationship between Bishop's effective stress parameter and saturation is constructed, and parameter calibration is performed according to the unsaturated cohesion, the effective cohesion and the soil-water characteristic curve;

[0052] A model building module is used to build an unsaturated soil shear strength model considering leaching agents based on Bishop's univariate strength algorithm, the first quantitative relationship, the second quantitative relationship and the third quantitative relationship;

[0053] The prediction verification module is used to predict the shear strength of unsaturated ionic rare earth ore under different leaching agents based on the unsaturated soil shear strength model considering the leaching agent, and to verify the prediction accuracy of the unsaturated soil shear strength model considering the leaching agent.

[0054] The present invention also provides a storage medium storing one or more programs, which, when executed by a processor, implement the above-mentioned method for predicting the shear strength of unsaturated ionic rare earth ores taking into account the influence of leaching agents.

[0055] The present invention also provides a computer device, the computer device comprising a memory and a processor, wherein:

[0056] The memory is used to store computer programs;

[0057] When the processor is used to execute the computer program stored in the memory, the method for predicting the shear strength of unsaturated ionic rare earth ores taking into account the influence of leaching agents as described above is implemented. BRIEF DESCRIPTION OF THE DRAWINGS

[0058] In order to more clearly illustrate the embodiments of the present invention, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0059] Figure 1 A flow chart of a method for predicting the shear strength of unsaturated ionic rare earth ores taking into account the influence of leaching agents proposed in the first embodiment of the present invention;

[0060] Figure 2 A flow chart of a method for predicting the shear strength of unsaturated ionic rare earth ores taking into account the influence of leaching agents proposed in the second embodiment of the present invention;

[0061] Figure 3 This is a schematic diagram of the structure of a system for predicting the shear strength of unsaturated ionic rare earth ores taking into account the influence of leaching agents proposed in the third embodiment of the present invention;

[0062] FIG4( a) is a linear fitting result diagram of the relationship between the leaching agent and the effective cohesion in the second embodiment of the present invention;

[0063] FIG4( b ) is a linear fitting result diagram of the relationship between the leaching agent and the effective internal friction angle in the second embodiment of the present invention;

[0064] FIG5( a ) is a graph showing the relationship between the shear deformation parameter of the strong adsorption zone and the solution penetration suction in the second embodiment of the present invention;

[0065] FIG5( b ) is a graph showing the relationship between the shear deformation parameter of the transition zone and the solution penetration suction in the second embodiment of the present invention;

[0066] FIG5(c) is a graph showing the relationship between the shear deformation parameter of the saturated zone and the solution penetration suction in the second embodiment of the present invention;

[0067] Figure 6 It is a comparison diagram of the predicted intensity and the measured intensity in the second embodiment of the present invention.

[0068] The following specific implementation manner will further illustrate the present invention in conjunction with the above-mentioned drawings. DETAILED DESCRIPTION

[0069] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0070] Figure 1 This is a flow chart of a method for predicting the shear strength of an unsaturated ionic rare earth ore considering the influence of a leaching agent proposed in the first embodiment of the present invention. The method for predicting the shear strength of an unsaturated ionic rare earth ore considering the influence of a leaching agent comprises steps S01 to S06, wherein:

[0071] Step S01: determining the influence of the leaching agent on the shear strength index of unsaturated soil under the comprehensive effect of multiple factors;

[0072] It should be noted that in this embodiment, orthogonal shearing processing is performed to obtain data of the comprehensive effect of multiple factors, wherein the comprehensive effect of multiple factors includes dry density, moisture content, leaching agent type, leaching agent concentration and soil particle gradation;

[0073] According to the data processing results of the comprehensive effect of multiple factors, it is determined that the leaching agent only has an impact on the internal friction angle of unsaturated soil, and the level of the impact is a significant impact level.

[0074] Step S02: constructing a first quantitative relationship between the leaching agent and the shear strength index of saturated soil;

[0075] It should be noted that in this embodiment, parameter data of the penetration suction of the salt solution in the leaching agent is obtained to quantify the leaching agent;

[0076] According to the penetration suction of the salt solution, a first quantitative relationship between the leaching agent and the effective cohesion and the effective internal friction angle is determined, and the first quantitative relationship is specifically as follows:

[0077] ,

[0078] in, , It represents the effective cohesion and effective internal friction angle under different leaching agent concentrations. , They represent the effective cohesion and the effective internal friction angle when the pore solution of the ore body is deionized water, and the concentration of the leaching agent of the deionized water is 0. , represents the slope parameter, represents the solution penetration suction, is standard atmospheric pressure, =101.3 kPa.

[0079] Step S03: constructing a second quantitative relationship between the leaching agent and the shear strength index of the unsaturated soil affected by the leaching agent;

[0080] It should be noted that in this embodiment, the moisture content range is divided into regions according to the moisture content of strongly adsorbed water and the moisture content of the intake value, and the divided regions are respectively a strong adsorption region, a transition region and a saturation region;

[0081] According to the influence of the leaching agent on the unsaturated internal friction angle, the unsaturated internal friction angle is converted into a quantifiable shear deformation parameter;

[0082] A second quantitative relationship between the shear deformation parameter and the leaching agent is constructed, and the second quantitative relationship is as follows:

[0083] ,

[0084] in, It represents the shear deformation parameter under different leaching agent concentrations, L , G , T represents the fitting parameters, Indicates the moisture content of strongly adsorbed water, Indicates the moisture content of the intake air. represents the saturated moisture content, Indicates the moisture content, represents the solution penetration suction, is standard atmospheric pressure, = 101.3 kPa.

[0085] Step S04: constructing a third quantitative relationship between Bishop's effective stress parameter and saturation;

[0086] It should be noted that in this embodiment, the incremental relationship between the change in pore water volume and the change in soil volume is determined;

[0087] A third quantitative relationship between Bishop's effective stress parameter and saturation is constructed according to the incremental relationship. The third quantitative relationship is as follows:

[0088] ,

[0089] in, represents the Bishop effective stress parameter, Indicates saturation, ( 1) (0 1) represents the fitting parameters.

[0090] Step S05: constructing an unsaturated soil shear strength model considering the leaching agent according to the Bishop univariate strength algorithm, the first quantitative relationship, the second quantitative relationship and the third quantitative relationship;

[0091] It should be noted that the specific algorithm of the unsaturated soil shear strength model considering the leaching agent in this embodiment is as follows:

[0092] ,

[0093] in, represents the shear strength model of unsaturated soil considering leaching agent, , They represent the effective cohesion and effective internal friction angle at different leaching agent concentrations, represents the Bishop effective stress parameter, It represents the shear deformation parameter under different leaching agent concentrations, represents the matrix suction associated with the soil-water characteristic curve, represents the total stress.

[0094] Step S06: predicting the shear strength of unsaturated ionic rare earth ore under different leaching agents according to the unsaturated soil shear strength model considering the leaching agent, and verifying the prediction accuracy of the unsaturated soil shear strength model considering the leaching agent;

[0095] It should be noted that after determining the actual predicted leaching agent type in this embodiment, the leaching agent concentration is used as a single variable, and the shear strength index of saturated ionic rare earth ore under different leaching agent concentrations is obtained by performing triaxial consolidation undrained or slow shear treatment to calibrate the slope parameter;

[0096] The shear deformation parameters are calculated according to the Mohr-Coulomb strength algorithm and the Bishop univariate strength algorithm. The specific algorithm for calculating the shear deformation parameters is as follows:

[0097] ,

[0098] in, is the shear deformation parameter, represents the unsaturated internal friction angle, represents the effective internal friction angle;

[0099] The fitting parameters are calibrated according to the shear deformation parameters L , G , T ;

[0100] According to the Mohr-like Coulomb strength algorithm and the Bishop univariate strength algorithm, the Bishop effective stress parameter is calculated. The specific algorithm for calculating the Bishop effective stress parameter is as follows:

[0101] ,

[0102] in, represents the Bishop effective stress parameter, represents the unsaturated cohesion, Indicates effective cohesion, It represents the matrix suction related to the soil-water characteristic curve;

[0103] The fitting parameters were calibrated according to the Bishop effective stress parameters. , .

[0104] In summary, according to the above-mentioned method for predicting the shear strength of unsaturated ionic rare earth ores considering the influence of leaching agents, by determining the influence of leaching agents on the shear strength index of unsaturated soil under the comprehensive action of multiple factors, the prediction deviation problem caused by considering a single factor is avoided, and the prediction result is closer to the actual situation. At the same time, the leaching agent is incorporated into the model as a new consideration factor, which further improves the accuracy of the overall prediction, and then constructs the quantitative relationship between the leaching agent and multiple factors, as well as the quantitative relationship within each factor, so as to construct an unsaturated soil shear strength model considering the leaching agent to improve the authenticity of the prediction, and the prediction results and model parameters are verified and calibrated to further enhance the applicability of the model. The present invention improves the accuracy of the shear strength prediction method of unsaturated ionic rare earth ores. Specifically, the influence degree of the leaching agent on the shear strength index of unsaturated soil under the comprehensive action of multiple factors is determined. The influencing factors of the leaching agent on the shear strength index of unsaturated soil include the type of leaching agent and the concentration of the leaching agent, which avoids the prediction deviation problem caused by the consideration of a single factor, making the prediction result closer to the actual situation. At the same time, the leaching agent is included in the model as a new consideration factor, which further improves the accuracy of the overall prediction, and constructs the first quantitative relationship between the leaching agent and the shear strength index of saturated soil. The shear strength index of saturated soil includes effective cohesion and effective internal friction angle. The second quantitative relationship between the leaching agent and the shear strength index of unsaturated soil affected by the leaching agent is constructed. The unsaturated soil shear strength index includes unsaturated cohesion and non Saturated internal friction angle, construct the third quantitative relationship between Bishop's effective stress parameter and saturation, calibrate parameters according to the unsaturated cohesion, the effective cohesion and the soil-water characteristic curve, construct an unsaturated soil shear strength model considering the leaching agent according to the Bishop univariate strength algorithm, the first quantitative relationship, the second quantitative relationship and the third quantitative relationship to improve the authenticity of the prediction, predict the shear strength of unsaturated ionic rare earth ores under different leaching agents according to the unsaturated soil shear strength model considering the leaching agent, and verify the prediction accuracy of the unsaturated soil shear strength model considering the leaching agent to further enhance the applicability of the model. The present invention improves the accuracy of the shear strength prediction method of unsaturated ionic rare earth ores.

[0105] Figure 2 This is a flow chart of a method for predicting the shear strength of an unsaturated ionic rare earth ore considering the influence of a leaching agent, which is proposed in the second embodiment of the present invention. The method for predicting the shear strength of an unsaturated ionic rare earth ore considering the influence of a leaching agent comprises steps S11 to S16, wherein:

[0106] Step S11: obtaining and analyzing data of the comprehensive effect of multiple factors to determine that the leaching agent only has an effect on the internal friction angle of unsaturated soil;

[0107] Step S12: obtaining parameter data of the penetration suction of the salt solution in the leaching agent, and constructing a first quantitative relationship between the penetration suction of the salt solution and the effective cohesion and the effective internal friction angle;

[0108] Step S13: determining a second quantitative relationship between the shear deformation parameter and the leaching agent according to the three moisture content regions of the strong adsorption region, the transition region and the saturated region;

[0109] Step S14: constructing a third quantitative relationship between Bishop's effective stress parameter and saturation according to the incremental relationship between pore water volume change and soil volume change;

[0110] Step S15: constructing an unsaturated soil shear strength model considering the leaching agent according to the Bishop univariate strength algorithm, the first quantitative relationship, the second quantitative relationship and the third quantitative relationship;

[0111] It should be noted that the unsaturated soil shear strength model considering the leaching agent proposed in the present invention introduces the Bishop effective stress parameter and the unsaturated soil shear deformation parameter, comprehensively considers the influence of the leaching agent concentration, and cleverly avoids the trouble of measuring the pore gas pressure in the traditional direct shear test. By analyzing the incremental relationship between the pore water volume change and the soil volume change, a general expression for the Bishop effective stress parameter about the saturation is derived, and the expression only contains two key parameters. The unsaturated ionic rare earth ore shear strength prediction method proposed in the present invention not only has high prediction accuracy, but also has good universality and versatility, and can be applied to the prediction of the shear strength of unsaturated special soil under different salt solution types and concentrations.

[0112] Step S16: after determining the actual predicted leaching agent type, the leaching agent concentration is taken as a single variable, and the shear strength index of the saturated ionic rare earth ore under different leaching agent concentrations is obtained by performing triaxial consolidation undrained or slow shear treatment to calibrate the slope parameter, and the shear deformation parameter is calculated according to the Mohr Coulomb strength algorithm and the Bishop univariate strength algorithm to calibrate the fitting parameter, and the Bishop effective stress parameter is calculated according to the Mohr Coulomb strength algorithm and the Bishop univariate strength algorithm to calibrate the fitting parameter;

[0113] It should be noted that in this embodiment, the orthogonal shear treatment is an orthogonal quick shear test design, and the data processing of the comprehensive effect of multiple factors is an orthogonal variance analysis. The orthogonal test design table selects five factors and three levels, with a total of 18 groups of experiments (setting error columns), where A is the initial dry density, B is the initial moisture content, C is the concentration of the leaching agent, and D is the level of the leaching agent type (solid mass ratio of ammonium sulfate to magnesium sulfate) is set to m (ammonium sulfate): m (magnesium sulfate) = 10:0, 7:3, 5:5, E is the particle grading, and the levels of the particle grading are set to 2 mm, 0.5 mm, and 0.075 mm, respectively, and different levels represent the maximum particle size of the ore sample. The direct shear test uses the static pressure method to prepare the sample, the sample diameter is 61.8 mm, the height is 20 mm, and the sample saturation is vacuum pumping method. The results of the orthogonal quick shear test variance analysis are as follows Table 1:

[0114] Table 1

[0115]

[0116] in F The value is the level of significant difference. p The value is the test level ( p <0.05 indicates significance. p <0.01 indicates high significance), as shown in Table 1, the influence of the two factors of leaching agent concentration and leaching agent type on the unsaturated cohesion is not significant, while the influence on the unsaturated internal friction angle is highly significant;

[0117] In step S12, the effective stress shear strength index of the saturated ion-type rare earth ore is determined according to the slow shear test ( , ), the initial moisture content was set to 20%, the ore sample was crushed, air-dried and passed through a 2 mm sieve, the initial dry density was set to 1.50 g / cm3, the concentrations of ammonium sulfate solution were set to 0%, 2%, 3%, and 5%, respectively, the osmotic suction coefficient of ammonium sulfate solution was determined by indoor tests, and the osmotic suction under different ammonium sulfate concentrations was calculated by the Van't Hoff equation, and the obtained parameter values ​​were linearly fitted to obtain: = -0.163 kPa, = -0.138, please see Figure 4(a) and Figure 4(b) for the linear fitting results;

[0118] In step S13, a single factor quick shear test is used to determine the shear strength index of unsaturated ionic rare earth ore under different leaching agent concentrations. The test data is used to calibrate the fitting parameters and prediction accuracy. The ore sample is crushed, air-dried and sieved through a 2 mm sieve, and the initial dry density is set to 1.50 g / cm 3, the concentrations of ammonium sulfate solution are set to 0%, 2%, 3%, and 5%, respectively, and the initial moisture content is a series of moisture contents at different levels, ranging from 0 to saturated moisture content;

[0119] Based on the results of single-factor fast shear and slow shear tests, the shear deformation parameter values ​​under different water contents (or matrix suction) were obtained. After calculation, it was found that the change of shear deformation parameter values ​​under the same leaching agent concentration showed nonlinear characteristics and the range was small. Therefore, the mean method was first used to process the data in the three regions of strong adsorption zone, transition zone and saturation zone, and then the fitting was performed separately to obtain: when 0 hour, L 1 = 0.965, G 1 = 0.978, T 1 = -0.868, when hour, L 2 = 0.966, G 2 = 0.977, T 2 = -1.034, when hour, L 3 = 0.959, G 3 = 0.978, T 3 = -0.944. Please refer to Figure 5(a), Figure 5(b), and Figure 5(c) for the relationship between the shear deformation parameter and the solution penetration suction. It can be seen from Figure 5(a), Figure 5(b), and Figure 5(c) that with the increase of water content, the solution penetration suction first decreases and then increases, showing a nonlinear change;

[0120] In step S14, the soil-water characteristic curve (SWCC) of the unsaturated ionic rare earth ore is determined by the soil-water characteristic test. The SWCC can be expressed as matrix suction. and moisture content (or saturation ), based on the single factor fast shear, slow shear and soil-water property test results, the Bishop effective stress parameter values ​​under different water contents (or matrix suction) were obtained, and the fitting results showed that: when the concentration of the leaching agent is 0%, = 1.285, = 0.300, when the concentration of the leaching agent is 2%, = 1.852, =0.714, when the concentration of leaching agent is 3%, = 1.243, = 0.251, when the concentration of leaching agent is 5%, = 1.457, = 0.400;

[0121] According to the fitting parameter values ​​obtained above, the shear strength of ionic rare earth ores with other moisture contents (or matrix suction) under different ammonium sulfate concentrations is predicted. For the comparison between the predicted strength and the measured strength, please refer to Figure 6 Depend on Figure 6 It can be seen that the prediction results of the unsaturated soil shear strength model considering the leaching agent in the present invention are well consistent with the test data and have high prediction accuracy.

[0122] In summary, according to the above-mentioned method for predicting the shear strength of unsaturated ionic rare earth ores considering the influence of leaching agents, by determining the influence of leaching agents on the shear strength index of unsaturated soil under the comprehensive action of multiple factors, the prediction deviation problem caused by considering a single factor is avoided, and the prediction result is closer to the actual situation. At the same time, the leaching agent is incorporated into the model as a new consideration factor, which further improves the accuracy of the overall prediction, and then constructs the quantitative relationship between the leaching agent and multiple factors, as well as the quantitative relationship within each factor, so as to construct an unsaturated soil shear strength model considering the leaching agent to improve the authenticity of the prediction, and the prediction results and model parameters are verified and calibrated to further enhance the applicability of the model. The present invention improves the accuracy of the shear strength prediction method of unsaturated ionic rare earth ores. Specifically, the influence degree of the leaching agent on the shear strength index of unsaturated soil under the comprehensive action of multiple factors is determined. The influencing factors of the leaching agent on the shear strength index of unsaturated soil include the type of leaching agent and the concentration of the leaching agent, which avoids the prediction deviation problem caused by the consideration of a single factor, making the prediction result closer to the actual situation. At the same time, the leaching agent is included in the model as a new consideration factor, which further improves the accuracy of the overall prediction, and constructs the first quantitative relationship between the leaching agent and the shear strength index of saturated soil. The shear strength index of saturated soil includes effective cohesion and effective internal friction angle. The second quantitative relationship between the leaching agent and the shear strength index of unsaturated soil affected by the leaching agent is constructed. The unsaturated soil shear strength index includes unsaturated cohesion and non Saturated internal friction angle, construct the third quantitative relationship between Bishop's effective stress parameter and saturation, calibrate parameters according to the unsaturated cohesion, the effective cohesion and the soil-water characteristic curve, construct an unsaturated soil shear strength model considering the leaching agent according to the Bishop univariate strength algorithm, the first quantitative relationship, the second quantitative relationship and the third quantitative relationship to improve the authenticity of the prediction, predict the shear strength of unsaturated ionic rare earth ores under different leaching agents according to the unsaturated soil shear strength model considering the leaching agent, and verify the prediction accuracy of the unsaturated soil shear strength model considering the leaching agent to further enhance the applicability of the model. The present invention improves the accuracy of the shear strength prediction method of unsaturated ionic rare earth ores.

[0123] Figure 3 This is a schematic diagram of the structure of a system for predicting the shear strength of unsaturated ionic rare earth ores considering the influence of leaching agents proposed in the third embodiment of the present invention. The system includes:

[0124] The influence degree determination module 10 is used to determine the influence degree of the leaching agent on the shear strength index of the unsaturated soil under the comprehensive action of multiple factors, and the influence factors of the leaching agent on the shear strength index of the unsaturated soil include the type of leaching agent and the concentration of the leaching agent;

[0125] A quantitative relationship building module 20 is used to build a first quantitative relationship between the leaching agent and the shear strength index of saturated soil, wherein the shear strength index of saturated soil includes effective cohesion and effective internal friction angle;

[0126] constructing a second quantitative relationship between the leaching agent and the shear strength index of the unsaturated soil affected by the leaching agent, wherein the shear strength index of the unsaturated soil includes unsaturated cohesion and unsaturated internal friction angle;

[0127] A third quantitative relationship between Bishop's effective stress parameter and saturation is constructed, and parameter calibration is performed according to the unsaturated cohesion, the effective cohesion and the soil-water characteristic curve;

[0128] A model building module 30 is used to build an unsaturated soil shear strength model considering a leaching agent according to the Bishop univariate strength algorithm, the first quantitative relationship, the second quantitative relationship and the third quantitative relationship;

[0129] The prediction verification module 40 is used to predict the shear strength of unsaturated ionic rare earth ore under different leaching agents based on the unsaturated soil shear strength model considering the leaching agent, and to verify the prediction accuracy of the unsaturated soil shear strength model considering the leaching agent.

[0130] The present invention also provides a computer storage medium on which one or more programs are stored. When the programs are executed by a processor, the above-mentioned method for predicting the shear strength of unsaturated ionic rare earth ores taking into account the influence of leaching agents is implemented.

[0131] The present invention also proposes a computer device, comprising a memory and a processor, wherein the memory is used to store a computer program, and the processor is used to execute the computer program stored in the memory to implement the above-mentioned method for predicting the shear strength of unsaturated ionic rare earth ores considering the influence of leaching agents.

[0132] Those skilled in the art will appreciate that the logic and / or steps represented in the flowchart or otherwise described herein, for example, may be considered as an ordered list of executable instructions for implementing logical functions, and may be specifically implemented in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute instructions), or in conjunction with such instruction execution systems, devices or apparatuses. For purposes of this specification, "computer-readable medium" may be any device that contains storage, communication, propagation or transmission of a program for use by an instruction execution system, device or apparatus, or in conjunction with such instruction execution systems, devices or apparatuses.

[0133] More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection with one or more wirings (electronic devices), a portable computer disk case (magnetic devices), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be a paper or other suitable medium on which the program is printed, for example, the program may be obtained electronically by optically scanning the paper or other medium, then editing, deciphering or processing in other suitable ways as necessary, and then storing it in a computer memory.

[0134] It should be understood that the various parts of the present invention can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, multiple steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or a combination thereof: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0135] The above-mentioned embodiments only express several implementation methods of the present invention, and the description thereof is relatively specific and detailed, but it cannot be understood as limiting the scope of the patent of the present invention. It should be pointed out that, for ordinary technicians in this field, several variations and improvements can be made without departing from the concept of the present invention, which all belong to the protection scope of the present invention. Therefore, the protection scope of the patent of the present invention shall be subject to the attached claims.

Claims

1. A method for predicting the shear strength of unsaturated ionic rare earth ores taking into account the influence of leaching agents, characterized in that: include: Determine the influence degree of the leaching agent on the shear strength index of unsaturated soil under the comprehensive action of multiple factors, wherein the influencing factors of the leaching agent on the shear strength index of the unsaturated soil include the type of leaching agent and the concentration of the leaching agent; Constructing a first quantitative relationship between the leaching agent and the shear strength index of saturated soil, wherein the shear strength index of saturated soil includes effective cohesion and effective internal friction angle; constructing a second quantitative relationship between the leaching agent and the shear strength index of the unsaturated soil affected by the leaching agent, wherein the shear strength index of the unsaturated soil includes unsaturated cohesion and unsaturated internal friction angle; A third quantitative relationship between Bishop's effective stress parameter and saturation is constructed, and parameter calibration is performed according to the unsaturated cohesion, the effective cohesion and the soil-water characteristic curve; The step of constructing the third quantitative relationship between the Bishop effective stress parameter and the saturation specifically includes: Determine the incremental relationship between pore water volume change and soil volume change; A third quantitative relationship between Bishop's effective stress parameter and saturation is constructed according to the incremental relationship. The third quantitative relationship is as follows: ， in, represents the Bishop effective stress parameter, S Indicates saturation, , represents the fitting parameters, 1, ; According to Bishop's univariate strength algorithm, the first quantitative relationship, the second quantitative relationship and the third quantitative relationship, the unsaturated soil shear strength model considering the leaching agent is constructed; The unsaturated soil shear strength model considering the leaching agent specifically includes: The specific algorithm of the unsaturated soil shear strength model considering the leaching agent is as follows: ， in, represents the shear strength model of unsaturated soil considering leaching agent, , They represent the effective cohesion and effective internal friction angle at different leaching agent concentrations, represents the Bishop effective stress parameter, It represents the shear deformation parameter under different leaching agent concentrations, s represents the matrix suction associated with the soil-water characteristic curve, represents the total stress; According to the unsaturated soil shear strength model considering the leaching agent, the shear strength of unsaturated ionic rare earth ore under different leaching agents is predicted, and the prediction accuracy of the unsaturated soil shear strength model considering the leaching agent is verified.

2. The method for predicting the shear strength of unsaturated ionic rare earth ores considering the influence of leaching agents according to claim 1, characterized in that: The step of determining the influence of the leaching agent on the shear strength index of unsaturated soil under the comprehensive action of multiple factors specifically includes: Obtaining data on the comprehensive effects of multiple factors, wherein the comprehensive effects of multiple factors include dry density, moisture content, type of leaching agent, concentration of leaching agent and soil particle size distribution; Based on the data of the comprehensive effect of multiple factors, five-factor three-level orthogonal processing is performed to determine that the leaching agent has an influence on the internal friction angle of unsaturated soil, and the level of the influence is a significant influence level.

3. The method for predicting the shear strength of unsaturated ionic rare earth ores considering the influence of leaching agents according to claim 1, characterized in that: The step of constructing the first quantitative relationship between the leaching agent and the shear strength index of saturated soil specifically includes: Obtain parameter data of the penetration suction of the salt solution in the leaching agent to determine a first quantitative relationship with the effective cohesion and the effective internal friction angle according to the penetration suction of the salt solution. The first quantitative relationship is specifically as follows: ， in, , They represent the effective cohesion and effective internal friction angle at different leaching agent concentrations, , They represent the effective cohesion and the effective internal friction angle when the pore solution of the ore body is deionized water, and the concentration of the leaching agent of the deionized water is 0. , represents the slope parameter, represents the solution penetration suction, represents standard atmospheric pressure, =101.3 kPa.

4. The method for predicting the shear strength of unsaturated ionic rare earth ores considering the influence of leaching agents according to claim 1, characterized in that: The step of constructing a second quantitative relationship between the leaching agent and the shear strength index of the unsaturated soil affected by the leaching agent specifically includes: The moisture content range is divided into strong adsorption zone, transition zone and saturation zone according to the moisture content of strong adsorption water and the moisture content of intake air; Determine the shear deformation parameters based on the unsaturated cohesion and the unsaturated internal friction angle; The second quantitative relationship with the leaching agent is constructed according to the shear deformation parameter, and the second quantitative relationship is as follows: ， in, It represents the shear deformation parameter under different leaching agent concentrations, L , G , T represents the fitting parameters, Indicates the moisture content of strongly adsorbed water, Indicates the moisture content of the intake air. represents the saturated moisture content, Indicates the moisture content, represents the solution penetration suction, represents standard atmospheric pressure, =101.3 kPa.

5. The method for predicting the shear strength of unsaturated ionic rare earth ores considering the influence of leaching agents according to claim 1, characterized in that: The step of verifying the prediction accuracy of the unsaturated soil shear strength model considering the leaching agent specifically includes: After determining the actual predicted leaching agent type, the leaching agent concentration is taken as a single variable, and the shear strength index of saturated ionic rare earth ore under different leaching agent concentrations is obtained according to the consolidation undrained treatment to calibrate the slope parameter; The shear deformation parameters are calculated according to the Mohr-Coulomb strength algorithm and the Bishop univariate strength algorithm. The specific algorithm for calculating the shear deformation parameters is as follows: ， in, is the shear deformation parameter, represents the unsaturated internal friction angle, represents the effective internal friction angle; To calibrate the fitting parameters according to the shear deformation parameters L , G , T ; According to the Mohr-like Coulomb strength algorithm and the Bishop univariate strength algorithm, the Bishop effective stress parameter is calculated. The specific algorithm for calculating the Bishop effective stress parameter is as follows: ， in, represents the Bishop effective stress parameter, c total represents the unsaturated cohesion, Indicates effective cohesion, s It represents the matrix suction related to the soil-water characteristic curve; The fitting parameters are calibrated according to the Bishop effective stress parameters , .

6. A shear strength prediction system for unsaturated ionic rare earth ores taking into account the influence of leaching agents, characterized in that: include: An influence degree determination module is used to determine the influence degree of the leaching agent on the shear strength index of unsaturated soil under the comprehensive action of multiple factors, and the influence factors of the leaching agent on the shear strength index of the unsaturated soil include the type of leaching agent and the concentration of the leaching agent; A quantitative relationship building module, used to build a first quantitative relationship between the leaching agent and the shear strength index of saturated soil, wherein the shear strength index of saturated soil includes effective cohesion and effective internal friction angle; constructing a second quantitative relationship between the leaching agent and the shear strength index of the unsaturated soil affected by the leaching agent, wherein the shear strength index of the unsaturated soil includes unsaturated cohesion and unsaturated internal friction angle; A third quantitative relationship between Bishop's effective stress parameter and saturation is constructed, and parameter calibration is performed according to the unsaturated cohesion, the effective cohesion and the soil-water characteristic curve; The step of constructing the third quantitative relationship between the Bishop effective stress parameter and the saturation specifically includes: Determine the incremental relationship between pore water volume change and soil volume change; A third quantitative relationship between Bishop's effective stress parameter and saturation is constructed according to the incremental relationship. The third quantitative relationship is as follows: ， in, represents the Bishop effective stress parameter, S Indicates saturation, , represents the fitting parameters, 1, ; A model building module is used to build an unsaturated soil shear strength model considering leaching agents based on Bishop's univariate strength algorithm, the first quantitative relationship, the second quantitative relationship and the third quantitative relationship; The unsaturated soil shear strength model considering the leaching agent specifically includes: The specific algorithm of the unsaturated soil shear strength model considering the leaching agent is as follows: ， in, represents the shear strength model of unsaturated soil considering leaching agent, , They represent the effective cohesion and effective internal friction angle at different leaching agent concentrations, represents the Bishop effective stress parameter, It represents the shear deformation parameter under different leaching agent concentrations, s represents the matrix suction associated with the soil-water characteristic curve, represents the total stress; The prediction verification module is used to predict the shear strength of unsaturated ionic rare earth ore under different leaching agents based on the unsaturated soil shear strength model considering the leaching agent, and to verify the prediction accuracy of the unsaturated soil shear strength model considering the leaching agent.

7. A storage medium, characterized in that: The storage medium stores one or more programs, which, when executed by the processor, implement the method for predicting the shear strength of unsaturated ionic rare earth ores considering the influence of leaching agents as described in any one of claims 1 to 5.

8. A computer device, characterized in that: The computer device comprises a memory and a processor, wherein: The memory is used to store computer programs; When the processor is used to execute the computer program stored in the memory, the method for predicting the shear strength of unsaturated ionic rare earth ores taking into account the influence of leaching agents as described in any one of claims 1 to 5 is implemented.

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