Impermeable curtain performance prediction method based on numerical simulation
By generating a slurry vein network skeleton and adjusting the permeability coefficient, the problems of overestimation of the blocking capacity and underestimation of the seepage flow caused by isolated slurry vein segments in the performance prediction of the seepage barrier curtain were solved, and more accurate seepage flow calculation was achieved.
Patent Information
- Application Number
- CN202511703362.1
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-11-19
- Publication Date
- 2026-01-23
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
Existing technologies assume that the grout vein network is completely connected in predicting the performance of seepage barriers. However, the grout veins formed by actual grouting may have isolated segments, leading to an overestimation of the blocking capacity and an underestimation of the predicted seepage flow.
By collecting the permeability coefficient, principal stress direction, and three-dimensional coordinates of the grout vein network of the seepage barrier, a grout vein network skeleton is generated, the connectivity of the grout vein network is determined, and the permeability coefficient is adjusted according to time changes. Combined with the modified Darcy theorem, the seepage flow is calculated to achieve performance prediction.
This improves the accuracy of predicting the performance of the seepage barrier curtain, avoids overestimating the blocking capacity of the slurry vein network and underestimating the predicted seepage flow, and enhances the accuracy of the prediction.
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Figure CN121389516A_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The present application relates to the technical field of data processing, in particular to a performance prediction method of anti-seepage curtain based on numerical simulation. BACKGROUND
[0002] The anti-seepage curtain is a continuous and complete anti-seepage structure formed by injecting grout into defect sites such as rock and soil cracks and voids through drilling and grouting, and it has a smaller permeability than the bedrock, is in the form of a strip on the plane, and looks like a stage curtain on the vertical surface. The performance prediction of the anti-seepage curtain based on numerical simulation can simulate the influence of different curtain depths, thicknesses, permeability coefficients and other parameters on the anti-seepage effect, and find the optimal design parameters and the most suitable structure form.
[0003] In the process of performance prediction of the anti-seepage curtain based on numerical simulation, it is generally assumed that the grout network is completely connected, but the grout formed by actual grouting may form isolated sections due to insufficient grout diffusion or incomplete filling of cracks, resulting in insufficient connection points between grout networks and too sparse grout distribution, that is, the anti-seepage curtain cannot effectively cover the natural seepage channel, and the seepage may bypass the blocking path, leading to overestimation of the blocking ability of the grout network and smaller predicted seepage value in the performance prediction process of the anti-seepage curtain. SUMMARY
[0004] The present application provides a performance prediction method of anti-seepage curtain based on numerical simulation to solve the problem that the performance prediction of the anti-seepage curtain is affected by the isolated sections of the grout formed by actual grouting, the blocking ability of the grout network is overestimated, and the predicted seepage value is smaller. The technical scheme adopted is as follows: One embodiment of the present application provides a performance prediction method of anti-seepage curtain based on numerical simulation, which comprises the following steps: Collecting the permeability coefficient, principal stress direction and grout network three-dimensional coordinates of the anti-seepage curtain, and generating a grout network skeleton of the anti-seepage curtain according to the grout network three-dimensional coordinates; According to the number and length of isolated sections and connecting sections in the grout network skeleton, as well as the number of branch points and end points, determining the grout network connectivity of the grout network skeleton, and determining the adjusted permeability coefficient of the anti-seepage curtain at different time intervals after the time of collecting the permeability coefficient according to the permeability coefficient and the principal stress direction of the anti-seepage curtain; According to the adjusted permeability coefficient of the anti-seepage curtain at different time intervals after the time of collecting the permeability coefficient and the grout network connectivity, determining the effective permeability coefficient of the anti-seepage curtain at different time intervals after the time of collecting the permeability coefficient; According to the modified Darcy's law and the effective permeability coefficient, calculating the seepage flow of the anti-seepage curtain at different time intervals after the time of collecting the permeability coefficient, and realizing the performance prediction of the anti-seepage curtain according to the seepage flow.
[0005] Furthermore, the permeability coefficient was obtained through a water pressure test, and the principal stress direction was obtained through a geostress test.
[0006] Furthermore, the specific method for obtaining the plasma network connectivity of the plasma network skeleton is as follows: The number of connected segments excluding isolated segments in the vasculature network skeleton is recorded as the first number. The number of all intersections in the vasculature network skeleton is recorded as the second number; Based on the length of all connecting segments in the plasma vein network skeleton, calculate the short plasma vein segment threshold, and record the number of connecting segments in the plasma vein network skeleton whose length is less than the short plasma vein segment threshold but not connected to the main network as the third number. The number of all connecting segments in the plasma vein network skeleton is recorded as the fourth quantity; The ratio of the first quantity to the second quantity is denoted as the first ratio; the ratio of the third quantity to the fourth quantity is denoted as the second ratio; the product of the second ratio and the preset weight parameter is denoted as the first product; the difference between the first ratio and the first product is denoted as the plasma network connectivity of the plasma network skeleton.
[0007] Furthermore, all intersections in the plasma network skeleton include branch points and endpoints.
[0008] Furthermore, the method for determining the threshold of the short plasma vein segment is as follows: The short vasculature segment threshold is defined as 20% of the average length of all connecting segments in the vasculature network skeleton.
[0009] Furthermore, the formula for calculating the adjusted permeability coefficient of the impermeable curtain at different time intervals after the permeability coefficient is collected is as follows: In the formula, This indicates the time interval between the collection of the permeability coefficient and the measurement of the seepage barrier curtain. This indicates the time interval between the time when the permeability coefficient of the impermeable curtain is collected. Adjusting the permeability coefficient; This indicates the permeability coefficient of the impermeable curtain. Represents the natural constant; This indicates the solidification rate of the grout in the impermeable curtain. Indicates the direction of the principal stress in the seepage-proof curtain; This indicates the preset adjustment parameters.
[0010] Furthermore, the specific method for obtaining the effective permeability coefficient of the seepage-proof curtain at different time intervals after the permeability coefficient is collected is as follows: The time interval after the time of collecting the permeability coefficient of the seepage barrier curtain the negative correlation processing result of the adjusted permeability coefficient, denoted as the effective permeability coefficient of the impervious curtain at the time interval after the time of collecting the permeability coefficient the first index; determining the effective permeability coefficient according to the first index and the connectivity of the vein network.
[0011] Further, the method of determining the effective permeability coefficient according to the first index and the connectivity of the vein network comprises: the product of the first index of the impervious curtain at the time interval after the time of collecting the permeability coefficient and the connectivity of the vein network, denoted as the effective permeability coefficient of the impervious curtain at the time interval after the time of collecting the permeability coefficient .
[0012] Further, the calculation formula of the seepage flow is: wherein, represents the seepage flow of the impervious curtain at the time interval after the time of collecting the permeability coefficient ; represents the effective permeability coefficient of the impervious curtain at the time interval after the time of collecting the permeability coefficient ; represents the water cross-sectional area of the impervious curtain; represents the preset water head difference; represents the seepage path length.
[0013] Further, the method of predicting the performance of the impervious curtain according to the seepage flow comprises: when the seepage flow reaches 80% of the maximum seepage flow allowed by the design of the impervious curtain, it is determined that the performance of the impervious curtain at the future time corresponding to the seepage flow is insufficient.
[0014] The beneficial effects of the present application are: The application first generates a slurry vein network skeleton of the anti-seepage curtain according to the three-dimensional coordinates of the slurry vein network, evaluates the structural complexity and the significance of the cross network characteristics of the slurry vein network skeleton, obtains the slurry vein network connectivity of the slurry vein network skeleton, and the more dense and the better the connectivity of the slurry vein network, the more effective the seepage is blocked. Considering that the permeability coefficient of the anti-seepage curtain will change over time, the value of the permeability coefficient needs to be adjusted according to the accumulation of time, and the adjusted permeability coefficient of the anti-seepage curtain at different time intervals after the time of collecting the permeability coefficient is determined. Further, the topological structure of the slurry vein network skeleton is quantified, the adjusted permeability coefficient is adjusted through the slurry vein network connectivity, the effective permeability coefficient of the anti-seepage curtain at different time intervals after the time of collecting the permeability coefficient is obtained, and the effective permeability coefficient is a more accurate value of the corrected permeability coefficient. Finally, according to the modified Darcy's law and the effective permeability coefficient, the seepage flow of the anti-seepage curtain at different time intervals after the time of collecting the permeability coefficient is calculated, the performance prediction of the anti-seepage curtain is realized according to the seepage flow, the problem that the performance prediction of the anti-seepage curtain is affected by the isolated section formed by the actual grouting slurry vein, the blocking ability of the slurry vein network is overestimated, and the predicted value of the seepage flow is too small is solved, and the accuracy of the performance prediction of the anti-seepage curtain is improved. BRIEF DESCRIPTION OF DRAWINGS
[0015] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings needed to be used in the embodiments or the prior art description. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative labor.
[0016] Figure 1 The flow chart of the anti-seepage curtain performance prediction method based on numerical simulation provided by an embodiment of the present application; Figure 2 The flow chart of the slurry vein network connectivity acquisition provided by an embodiment of the present application. DETAILED DESCRIPTION
[0017] The technical solutions in the embodiments of the present application will be described clearly and completely in the following with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only some embodiments of the present application, not all embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor are within the scope of protection of the present application.
[0018] Please refer to Figure 1 which shows the flow chart of the anti-seepage curtain performance prediction method based on numerical simulation provided by an embodiment of the present application, and the method comprises the following steps: Step S001, collect the permeability coefficient, the principal stress direction and the three-dimensional coordinates of the grout vein network of the impermeable curtain, and generate the grout vein network skeleton of the impermeable curtain according to the three-dimensional coordinates of the grout vein network.
[0019] The permeability coefficient of the impermeable curtain is obtained by the water pressure test, the principal stress direction of the impermeable curtain is obtained by the ground stress test, and the three-dimensional coordinates of the grout vein network of the impermeable curtain are obtained by the industrial CT scanning equipment. And RETOMO professional software is used to filter the noise in the three-dimensional coordinates of the grout vein network.
[0020] The permeability coefficient is the discharge rate of water per unit cross-sectional area of porous medium under unit hydraulic gradient and standard temperature under laminar flow conditions. The value of the permeability coefficient reflects the permeability of the soil or rock mass, that is, the ability of fluid to pass through its pore structure. The larger the permeability coefficient, the stronger the permeability of the rock-soil mass, and the easier the fluid flows therein. Conversely, the smaller the permeability coefficient, the weaker the permeability of the rock-soil mass, and the more difficult the fluid flows. The principal stress direction refers to the action direction of the three mutually perpendicular principal stresses in the rock-soil mass, that is, the action direction of the maximum principal stress, the intermediate principal stress and the minimum principal stress. The principal stress direction is of great significance for analyzing the mechanical behavior, stability and engineering design of the rock-soil mass.
[0021] The grouting curtain forms a grout vein network by the diffusion of grout in the fissures or pores. The grout vein network can block the natural seepage path, and the topological structure of the grout vein network directly affects the impermeability effect of the grout vein network. For example, the grout vein network may have isolated sections or local fractures, causing seepage to bypass the blocked area. Therefore, it is necessary to obtain the grout vein network skeleton of the impermeable curtain. The topological structure of the grout vein network, such as connectivity, number of isolated sections, etc. With the change of time, the distribution of the grout vein network may also change, therefore, it is necessary to obtain the grout vein network skeleton of the corresponding collection time according to the three-dimensional coordinates of the grout vein network at different collection times.
[0022] The three-dimensional coordinates of the grout vein network of the impermeable curtain are processed using Delaunay triangulation to generate the grout vein network skeleton of the impermeable curtain. The use of Delaunay triangulation to generate the grout vein network skeleton is a known technique and will not be described in detail.
[0023] Thus, the permeability coefficient, the principal stress direction and the grout vein network skeleton of the impermeable curtain are obtained.
[0024] Step S002, according to the number and length of the isolated sections and the connecting sections in the grout vein network skeleton, as well as the number of branch points and end points, determine the grout vein network connectivity of the grout vein network skeleton, and according to the permeability coefficient and the principal stress direction of the impermeable curtain, respectively determine the adjusted permeability coefficient of the impermeable curtain at different time intervals after the collection of the permeability coefficient.
[0025] According to the number and length of isolated segments and connected segments in the vein network skeleton, and the number of branch points and end points, the vein network connectivity of the vein network skeleton is determined.
[0026] For the same vein network skeleton, the number of connected segments in the vein network skeleton excluding isolated segments is recorded as a first number; the number of all intersection points in the vein network skeleton is recorded as a second number, wherein the intersection points include branch points and end points; 20% of the average length of all connected segments in the vein network skeleton is recorded as a short vein segment threshold value; the number of connected segments in the vein network skeleton that are not connected to the main network and have a length less than the short vein segment threshold value is recorded as a third number; and the number of all connected segments in the vein network skeleton is recorded as a fourth number.
[0027] The ratio of the first number to the second number is recorded as a first ratio; the ratio of the third number to the fourth number is recorded as a second ratio; the product of the second ratio and a preset weight parameter is recorded as a first product; and the difference between the first ratio and the first product is recorded as the vein network connectivity of the vein network skeleton.
[0028] The value of the weight parameter should be greater than 0 and less than 0.5, and the value of the weight parameter in this embodiment is 0.1.
[0029] The vein network connectivity acquisition flowchart is shown in FIG. 1. Figure 2 When the vein network connectivity is greater, the structure of the vein network skeleton is more complex, the cross connection is more, and the vein network skeleton presents a more significant network shape. At this time, the vein network is more dense and has better connectivity, which can effectively block seepage. When the vein network connectivity is smaller, the structure of the vein network skeleton is more sparse, there are more isolated segments, and the vein network skeleton presents a more significant chain or dendritic shape, which is more likely to have a leakage risk.
[0030] Generally, when predicting the performance of the anti-seepage curtain, the permeability coefficient is assumed to be a static constant value. However, after the slurry such as cement or epoxy resin solidifies, micro cracks and further larger cracks can occur due to shrinkage, carbonization or chemical reactions. At the same time, water pressure fluctuations or structural loads can cause the curtain body to deform and change the permeation path. Therefore, the permeability coefficient of the anti-seepage curtain changes over time, and the value of the permeability coefficient needs to be adjusted according to the accumulation of time.
[0031] According to the permeability coefficient and the principal stress direction of the anti-seepage curtain, the adjusted permeability coefficient of the anti-seepage curtain at different time intervals after the time when the permeability coefficient is collected is determined, and the calculation formula of the adjusted permeability coefficient is: In the formula, t represents the time interval after the time when the permeability coefficient is collected. denotes the adjustment permeability coefficient of the impermeable curtain after the time interval following the time when the permeability coefficient is collected ; denotes the permeability coefficient of the impermeable curtain; denotes the natural constant; denotes the solidification rate of the grout of the grout vein of the impermeable curtain, the solidification rate being determined by the grout of the grout vein of the impermeable curtain; denotes the principal stress direction of the impermeable curtain; denotes the preset adjustment parameter, the value of the adjustment parameter in this embodiment is 0.01, and the adjustment parameter prevents the principal stress direction of the impermeable curtain from being 90°, so that the value of the corresponding adjustment permeability coefficient is 0.
[0032] The time-varying effective permeability coefficient is used to quantify the dynamic change of the impermeable curtain performance in the corresponding time interval, and when the adjustment permeability coefficient is larger than the permeability coefficient, it is more likely that the crack propagation or material degradation will cause the permeability to deteriorate, and when the adjustment permeability coefficient is smaller than the permeability coefficient, it is more likely that the grout continues to solidify or the compressive stress is enhanced to improve the impermeability.
[0033] At this point, the adjustment permeability coefficient of the impermeable curtain at different time intervals after the time when the permeability coefficient is collected is obtained.
[0034] Step S003, according to the adjustment permeability coefficient of the impermeable curtain at different time intervals after the time when the permeability coefficient is collected and the grout vein network connectivity, the effective permeability coefficient of the impermeable curtain at different time intervals after the time when the permeability coefficient is collected is determined respectively.
[0035] The grout vein formed by actual grouting may have a situation of insufficient grout diffusion, and may also have a situation of incomplete filling of the crack, forming isolated sections, resulting in insufficient connection points between the grout veins or too sparse distribution of the grout veins, which cannot effectively cover the natural seepage channel, so that the seepage may bypass the blocking path, resulting in a small predicted value of the seepage flow and overestimation of the blocking ability of the grout vein network.
[0036] According to the adjustment permeability coefficient of the impermeable curtain at different time intervals after the time when the permeability coefficient is collected and the grout vein network connectivity, the effective permeability coefficient of the impermeable curtain at different time intervals after the time when the permeability coefficient is collected is determined respectively.
[0037] The negative correlation processing result of the adjustment permeability coefficient of the impermeable curtain at different time intervals after the time when the permeability coefficient is collected is recorded as the first index of the impermeable curtain at different time intervals after the time when the permeability coefficient is collected The product of the first index of the impermeable curtain at different time intervals after the time when the permeability coefficient is collected and the grout vein network connectivity is recorded as the effective permeability coefficient of the impermeable curtain at different time intervals after the time when the permeability coefficient is collected The effective permeability coefficient.
[0038] It is understandable that the time interval between the collection of the permeability coefficient and the collection of the seepage coefficient for the seepage barrier curtain is... The permeability coefficient is adjusted for negative correlation processing, that is, to ensure that the time interval between the time of permeability coefficient collection and the time of the permeability coefficient collection of the seepage barrier curtain is considered. The adjustment of the permeability coefficient and the time interval between the time of permeability coefficient collection of the impermeable curtain. The effective permeability coefficients show a negative correlation. It is understood that the negative correlation in this application refers to the relationship between the independent and dependent variables, where the independent variable is the time interval between the collection of permeability coefficients for the seepage-proof curtain. The permeability coefficient is adjusted, with the dependent variable being the time interval between the time of permeability coefficient collection and the time of the seepage barrier curtain. The effective penetration coefficient, a negative correlation, means that the dependent variable decreases (increases) as the independent variable increases (decreases). It can be an inverse relationship, a subtraction relationship, etc.
[0039] Preferably, as an embodiment of this application, the preset permeability coefficient parameter and the time interval between the time of collecting the permeability coefficient of the impermeable curtain are specified. The difference in the adjusted permeability coefficient is denoted as the time interval. The difference in permeability coefficients will affect the time interval. The ratio of the permeability difference to the preset sensitivity coefficient is denoted as the time interval. The ratio of the permeability coefficients, the time interval The ratio of the permeability coefficients is used as the exponent of the exponential function, and the calculated value of the exponential function is recorded as the time interval between the time of permeability coefficient collection and the time of the seepage barrier curtain. The effective permeability coefficient. The base of the exponential function is a natural constant; in this embodiment, the permeability coefficient parameter is set to 1.5. cm / s; In this embodiment, the sensitivity coefficient is set to 0.1.
[0040] Plasma network connectivity can quantify the topology of the plasma network skeleton. By adjusting the permeability coefficient through plasma network connectivity, the determined effective permeability coefficient is more accurate.
[0041] Thus, the effective permeability coefficients of the seepage barrier at different time intervals after the permeability coefficient was collected are obtained.
[0042] Step S004: Based on the modified Darcy's theorem and the effective permeability coefficient, calculate the seepage flow rate of the seepage barrier at different time intervals after the time of collecting the permeability coefficient, and predict the performance of the seepage barrier based on the seepage flow rate.
[0043] Finally, Darcy's theorem was modified based on the actual effective seepage length to obtain the seepage flow rate q(t). Darcy's law describes the flow of fluid in porous media, the flow rate is proportional to the hydraulic gradient, and the hydraulic conductivity is the proportionality constant. By multiplying the hydraulic gradient and the cross-sectional area of the target cross-section for which the seepage flow needs to be calculated, the overall seepage flow of the anti-seepage curtain can be obtained.
[0044] According to the modified Darcy's law and the effective hydraulic conductivity, the seepage flow of the anti-seepage curtain at different time intervals after the time when the hydraulic conductivity is collected is calculated.
[0045] In the formula, represents the seepage flow of the anti-seepage curtain at a time interval after the time when the hydraulic conductivity is collected; represents the effective hydraulic conductivity of the anti-seepage curtain at a time interval after the time when the hydraulic conductivity is collected; represents the cross-sectional area of the anti-seepage curtain, the cross-sectional area is perpendicular to the direction of seepage, and the specific value of the cross-sectional area is read from the design manual of the anti-seepage curtain; represents the preset water head difference, the value of the water head difference should be greater than or equal to 30 cm and less than or equal to 100 cm, and the value of the water head difference in this embodiment is 75 cm; represents the length of the seepage path, and the length of the seepage path is calculated by the time difference of the reflection signal of the high-frequency electromagnetic wave.
[0046] Wherein, the length of the seepage path calculated by the time difference of the reflection signal of the high-frequency electromagnetic wave is a known technology, and will not be described in detail.
[0047] When the seepage flow reaches 80% of the maximum seepage flow allowed by the design of the anti-seepage curtain, it is determined that the performance of the anti-seepage curtain is insufficient at the future time corresponding to the seepage flow, and the performance prediction of the anti-seepage curtain is realized.
[0048] Wherein, the maximum seepage flow allowed by the design of the anti-seepage curtain is read from the design manual of the anti-seepage curtain; the time interval after the time when the hydraulic conductivity is collected corresponding to the seepage flow is the future time of the anti-seepage curtain corresponding to the seepage flow.
[0049] Thus, the performance prediction of the anti-seepage curtain based on numerical simulation is realized.
[0050] The above only describes the preferred embodiments of the present application, and does not limit the present application. Any modification, equivalent replacement, improvement, etc. made within the principles of the present application should be included in the protection scope of the present application.
Claims
1. A method for predicting the performance of an impermeable curtain based on numerical simulation, characterized in that, The method comprises the following steps: Collecting the permeability coefficient, the principal stress direction and the three-dimensional coordinates of the slurry vein network of the impermeable curtain, and generating the slurry vein network skeleton of the impermeable curtain according to the three-dimensional coordinates of the slurry vein network; According to the number and length of the isolated segments and the connecting segments in the slurry vein network skeleton, and the number of branch points and end points, determining the slurry vein network connectivity of the slurry vein network skeleton, and determining the adjusted permeability coefficient of the impermeable curtain at different time intervals after the time of collecting the permeability coefficient according to the permeability coefficient and the principal stress direction of the impermeable curtain; According to the adjusted permeability coefficient of the impermeable curtain at different time intervals after the time of collecting the permeability coefficient and the slurry vein network connectivity, determining the effective permeability coefficient of the impermeable curtain at different time intervals after the time of collecting the permeability coefficient; According to the modified Darcy's law and the effective permeability coefficient, calculating the seepage flow of the impermeable curtain at different time intervals after the time of collecting the permeability coefficient, and realizing the performance prediction of the impermeable curtain according to the seepage flow.
2. The numerical simulation based impermeable barrier performance prediction method of claim 1, wherein, The permeability coefficient is obtained through a water pressure test, and the principal stress direction is obtained through a ground stress test.
3. The numerical simulation based impermeable barrier performance prediction method of claim 1, wherein, The specific method for obtaining the slurry vein network connectivity of the slurry vein network skeleton is as follows: The number of connecting segments in the slurry vein network skeleton excluding isolated segments is recorded as a first number; The number of all intersection points in the slurry vein network skeleton is recorded as a second number; According to the length of all connecting segments in the slurry vein network skeleton, a short slurry vein segment threshold value is calculated, and the number of connecting segments in the slurry vein network skeleton which are not connected to the main network and have a length less than the short slurry vein segment threshold value is recorded as a third number; The number of all connecting segments in the slurry vein network skeleton is recorded as a fourth number; The ratio of the first number to the second number is recorded as a first ratio, the ratio of the third number to the fourth number is recorded as a second ratio, and the product of the second ratio and a preset weight parameter is recorded as a first product; the difference between the first ratio and the first product is recorded as the slurry vein network connectivity of the slurry vein network skeleton.
4. The numerical simulation-based impermeable barrier performance prediction method according to claim 3, characterized in that, All intersection points in the slurry vein network skeleton include branch points and end points.
5. The numerical simulation based impermeable barrier performance prediction method of claim 3, wherein, The determination method of the short slurry vein segment threshold value is as follows: 20% of the average value of the length of all connecting segments in the slurry vein network skeleton is recorded as the short slurry vein segment threshold value.
6. The numerical simulation based impermeable barrier performance prediction method of claim 1, wherein, The calculation formula of the adjusted permeability coefficient of the impermeable curtain at different time intervals after the time of collecting the permeability coefficient is as follows: wherein represents the time interval at which the impermeable curtain is spaced after the time at which the permeability coefficient is collected; represents the time interval at which the impermeable curtain is spaced after the time at which the permeability coefficient is collected of the adjusted permeability coefficient; represents the permeability coefficient of the impermeable curtain; represents the natural constant; represents the solidification rate of the slurry of the slurry vein of the impermeable curtain; represents the principal stress direction of the impermeable curtain; represents the preset adjustment parameter.
7. The numerical simulation-based impermeable barrier performance prediction method according to claim 6, characterized in that, The specific method for obtaining the effective permeability coefficient of the impermeable curtain at different time intervals after the time of collecting the permeability coefficient is as follows: the time interval after the moment of collecting the permeability coefficient of the impermeable curtain the negative correlation processing result of the adjusted permeability coefficient, is recorded as the first exponential of the time interval after the moment of collecting the permeability coefficient of the impermeable curtain ; According to the first index and the slurry vein network connectivity, the effective permeability coefficient is determined.
8. The numerical simulation-based impermeable barrier performance prediction method according to claim 7, characterized in that, The specific method for determining the effective permeability coefficient according to the first index and the slurry vein network connectivity is as follows: the time interval after the moment of collecting the permeability coefficient of the first exponent multiplied by the connectivity of the network of veins, denoted by the effective permeability coefficient of the time interval after the moment of collecting the permeability coefficient of the first exponent multiplied by the connectivity of the network of veins, denoted by the effective permeability coefficient of the time interval after the moment of collecting the permeability coefficient 9. The numerical simulation-based impermeable barrier performance prediction method of claim 6, wherein, The calculation formula of the seepage flow is as follows: wherein represents the seepage flow at the time interval after the time of collecting the permeability coefficient of the impervious curtain; represents the effective permeability coefficient at the time interval after the time of collecting the permeability coefficient of the impervious curtain; represents the cross-sectional area of the impervious curtain; represents the preset water head difference; represents the length of the seepage path. 10. The numerical simulation based impermeable barrier performance prediction method of claim 1, wherein, The specific method for realizing the performance prediction of the impermeable curtain according to the seepage flow is as follows: When the seepage flow reaches 80% of the maximum seepage flow allowed by the design of the impermeable curtain, it is determined that the performance of the impermeable curtain is insufficient at the future time corresponding to the seepage flow.