Disaster protection method and system based on mining slope
By establishing a geomechanical model and calculating stability coefficients, the failure modes of mining-induced slopes in open-pit coal mines can be accurately assessed, enabling precise filling of goaf areas and effectively preventing mining-induced slope disasters, resulting in significant economic and environmental benefits.
Patent Information
- Application Number
- CN202510847759.1
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-06-23
- Publication Date
- 2025-11-14
AI Technical Summary
The mining-induced slope disaster caused by the goaf formed after the closure of open-pit coal mines is difficult to prevent effectively, and existing technologies lack accurate assessment methods and effective prevention and control measures.
By determining the geomechanical parameters of the soil and rock layers, the geometry of the goaf, and the collapse characteristics of the overlying rock, a geomechanical model is established to analyze the slope failure mode, calculate the stability coefficient, and design the filling grout and filling range based on the stability coefficient, so as to achieve accurate assessment and prevention of mining-induced slopes.
It improves the accuracy of slope stability assessment, reduces the risk of geological disasters, and reduces the amount of backfilling, resulting in significant economic, social, and environmental benefits.
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Figure CN120951631A_ABST
Abstract
Description
Technical Field
[0001] This application relates to the field of research on the mechanism and prevention of open-pit mining subsidence, and in particular to a disaster protection method and system based on mining-induced slopes. Background Technology
[0002] Open-pit coal mining is one of the important ways to supply coal resources. As open-pit coal mines are mined, more and more mines are about to reach their designed service life and enter the closure stage. When recovering residual coal resources in the final slope after closure, underground goaf areas will be formed. Because the residual deformation cycle of these goaf areas is relatively long, it often triggers a series of new mining-induced slope disasters.
[0003] It should be noted that the above introduction to the technical background is only for the purpose of providing a clear and complete explanation of the technical solutions of this application and facilitating understanding by those skilled in the art. It should not be assumed that these technical solutions are known to those skilled in the art simply because they have been described in the background section of this application. Summary of the Invention
[0004] The purpose of this application is to at least partially solve one of the technical problems in the related art.
[0005] Therefore, the first objective of this application is to propose a disaster protection method based on mining-induced slopes.
[0006] The second objective of this application is to propose a disaster protection system based on mining-induced slopes.
[0007] The third objective of this application is to propose an electronic device.
[0008] The fourth objective of this application is to provide a non-transitory computer-readable storage medium.
[0009] The fifth objective of this application is to provide a computer program product.
[0010] To achieve the above objectives, the first aspect of this application proposes a disaster protection method for mining-induced slopes, comprising:
[0011] Determine the soil and rock layer parameters, goaf geometric parameters, and goaf overburden collapse characteristic parameters of the target mining slope;
[0012] Based on the parameters of the soil and rock layers, the geometric parameters of the goaf, and the collapse characteristics of the overlying rock in the goaf, the geomechanical model of the target mining slope is determined.
[0013] Based on the analysis of slope failure modes under the influence of mining in the goaf using the aforementioned geomechanical model, the stability coefficient of the target mining slope is obtained.
[0014] The filling range parameters and design parameters of the filling slurry for the goaf are determined based on the stability coefficient.
[0015] To achieve the above objectives, a second aspect of this application proposes a disaster protection system based on mining-induced slopes, comprising:
[0016] The first acquisition module is used to determine the soil and rock layer parameters, goaf geometric parameters, and goaf overburden collapse characteristic parameters of the target mining slope.
[0017] The second acquisition module is used to determine the geomechanical model of the target mining slope based on the soil and rock layer parameters, the geometric parameters of the goaf area, and the overlying rock collapse characteristic parameters of the goaf area.
[0018] The third acquisition module is used to analyze the slope failure mode under the influence of mining in the goaf based on the geomechanical model, and obtain the stability coefficient of the target mining slope.
[0019] The fourth acquisition module is used to determine the filling range parameters and the design parameters of the filling slurry of the goaf based on the stability coefficient.
[0020] To achieve the above objectives, a third aspect of this application provides an electronic device, comprising: a processor; and a memory for storing executable instructions of the processor; wherein the processor is configured to execute the instructions to implement the disaster protection method based on mining-induced slopes proposed in the first aspect of this application.
[0021] To achieve the above objectives, a fourth aspect of this application provides a non-transitory computer-readable storage medium, wherein when the instructions in the storage medium are executed by a processor of an electronic device, the electronic device is able to execute the disaster protection method based on mining-induced slopes proposed in the first aspect of this application.
[0022] To achieve the above objectives, a fifth aspect of this application provides a computer program product, including a computer program that, when executed by a processor in a communication device, implements the disaster protection method based on mining-induced slopes proposed in the first aspect of this application.
[0023] In this embodiment, by comprehensively considering soil and rock layer parameters, goaf geometric parameters, and goaf overburden collapse characteristics, the actual geological conditions of the target mining slope can be fully and accurately reflected. By establishing a geomechanical model of the target mining slope, the failure process can be simulated more precisely, and the slope failure modes under different mining conditions can be analyzed. Compared to single-parameter evaluation methods, the obtained stability coefficient is more accurate, thus providing a more reliable basis for slope stability assessment and effectively reducing the risk of slope instability. Determining the design parameters and filling range parameters of the filling grout based on the stability coefficient ensures that the performance of the filling grout matches the actual stability requirements of the slope, accurately determines the partial filling range of the goaf, effectively prevents the occurrence of these geological disasters, and reduces the amount of filling, resulting in significant economic, social, and environmental benefits.
[0024] Additional aspects and advantages of this application will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of this application. Attached Figure Description
[0025] The above and / or additional aspects and advantages of this application will become apparent and readily understood from the following description of the embodiments taken in conjunction with the accompanying drawings, wherein:
[0026] Figure 1 A schematic flowchart illustrating a disaster protection method for mining-induced slopes provided in this application embodiment;
[0027] Figure 2 A schematic flowchart illustrating another disaster protection method based on mining-induced slopes provided in this application embodiment;
[0028] Figure 3 This is a schematic cross-sectional view of the target mining slope provided according to an embodiment of this application;
[0029] Figure 4 A schematic diagram of a disaster protection system based on mining-induced slopes provided in an embodiment of this application;
[0030] Figure 5 This is a schematic diagram of the structure of an electronic device provided according to an embodiment of this application. Detailed Implementation
[0031] Exemplary embodiments will now be described in detail, examples of which are illustrated in the accompanying drawings. When the following description relates to the drawings, unless otherwise indicated, the same numbers in different drawings represent the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with those of this application. Rather, they are merely examples of apparatuses and methods consistent with some aspects of the embodiments of this application as detailed in the appended claims.
[0032] The terminology used in the embodiments of this application is for the purpose of describing particular embodiments only and is not intended to limit the embodiments of this application. The singular forms “a” and “the” as used in the embodiments of this application and the appended claims are also intended to include the plural forms, unless the context clearly indicates otherwise. It should also be understood that the term “and / or” as used herein refers to and includes any or all possible combinations of one or more of the associated listed items.
[0033] It should be understood that although the terms first, second, third, etc., may be used to describe various information in the embodiments of this application, such information should not be limited to these terms. These terms are only used to distinguish information of the same type from each other. For example, without departing from the scope of the embodiments of this application, first information may also be referred to as second information, and similarly, second information may also be referred to as first information. Depending on the context, the words "if" and "suppose" as used herein can be interpreted as "when," "when," or "in response to a determination."
[0034] The embodiments of this application are described in detail below. Examples of these embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and intended to explain this application, and should not be construed as limiting this application.
[0035] Open-pit coal mining is a key method for coal resource supply. Compared to underground mining, open-pit mining has significant advantages such as large-scale production, high efficiency, low cost, and good safety. In areas with abundant and shallow coal resources, open-pit mining can quickly obtain large quantities of coal at a relatively low cost, meeting the huge energy demands of socio-economic development.
[0036] As open-pit coal mines continue to operate, more and more of them are approaching their designed service life and entering the closure phase. The designed service life of an open-pit mine is determined comprehensively based on factors such as the mine's coal reserves and mining intensity. When a mine reaches its designed service life, the economically exploitable coal resources according to the original design plan have been largely depleted. However, in actual mining operations, due to complex geological conditions, limitations in mining technology, and economic considerations, a certain amount of coal resources often remain on the final slope when an open-pit mine closes. Although these residual coal resources are scattered and difficult to mine, they still have a certain recovery value from the perspective of comprehensive resource utilization.
[0037] When recovering residual coal resources in the mined-out slope after the mine has been closed, underground mining is typically employed. Underground mining methods include room-and-pillar mining, strip mining, and fully mechanized mining, each creating goafs of varying shapes and sizes underground. Taking room-and-pillar mining as an example, coal pillars are placed at specific intervals to support the overlying strata. However, as mining progresses, these pillars gradually deform and break down due to mining activity, causing the overlying strata to shift and deform in the goaf. When residual coal resources are dispersed, more flexible mining methods may be used to recover as much coal as possible, resulting in a more complex and irregular distribution of goafs. The existence of these goafs disrupts the original stress balance of the slope rock mass, creating potential hazards for subsequent mining-related slope disasters.
[0038] Because of the long residual deformation period in these goaf areas, a series of new mining-induced slope hazards often arise. Residual deformation in goaf areas refers to the process by which the overlying strata continue to deform and move after mining is completed, due to factors such as rock mass creep and stress adjustment. During this residual deformation process, the movement and deformation of the overlying strata gradually transfer to the slope rock mass, causing a change in the stress balance of the slope rock mass. When the stress in the slope rock mass exceeds its strength limit, it can trigger slope instability, landslides, collapses, and other hazards.
[0039] The following describes a disaster protection method and system for mining-induced slopes according to embodiments of this application, with reference to the accompanying drawings.
[0040] Figure 1 This is a schematic flowchart illustrating a disaster protection method for mining-induced slopes provided in an embodiment of this application. Figure 1 As shown, the method includes, but is not limited to, the following steps:
[0041] S101, determine the soil and rock layer parameters, goaf geometric parameters, and goaf overburden collapse characteristic parameters of the target mining slope.
[0042] In one feasible implementation, particle size analysis, limit water content analysis, compression analysis, and direct shear analysis are performed on the soil and rock layers of the target mining slope to determine parameters such as particle size distribution, plasticity index, compression coefficient, internal friction angle, and cohesion of the soil and rock layers. These parameters are then used as soil and rock layer parameters.
[0043] In one feasible implementation, the planar location and boundary range of the goaf, the depth of the goaf, the vertical distance from the top of the goaf to the ground surface, the mining thickness of the coal seam, and the distribution of coal pillars are determined by drilling, geophysical exploration, and other methods on the target mining slope. The planar location and boundary range of the goaf, the depth of the goaf, the vertical distance from the top of the goaf to the ground surface, the mining thickness of the coal seam, and the distribution of coal pillars are used as the geometric parameters of the goaf.
[0044] In one feasible implementation, the height of the caving zone is determined through numerical simulation based on factors such as the mining depth, mining thickness, coal seam dip angle, and overlying lithology of the goaf. Characteristic parameters of the fracture zone, including the degree of fracture development, fracture spacing, and extension direction, are measured using methods such as drilling and geophysical exploration. Deformation characteristic parameters of the subsidence bending zone are obtained using surface subsidence monitoring methods, based on the mining conditions and overlying lithology of the goaf. The caving zone height, fracture zone characteristic parameters, and deformation characteristic parameters of the subsidence bending zone are used as the characteristic parameters of overlying caving in the goaf.
[0045] S102. Based on the parameters of the soil and rock layers, the geometric parameters of the goaf, and the characteristics of the collapse of the overlying rock in the goaf, the geomechanical model of the target mining slope is determined.
[0046] In one feasible implementation, physical, mechanical, and hydraulic parameters are obtained from the parameters of the soil and rock layers. Further, the physical parameters include the density, porosity, and saturation of the soil and rock layers. The mechanical parameters include the elastic modulus, Poisson's ratio, cohesion, and angle of internal friction of the soil and rock layers. The hydraulic parameters include the permeability coefficient and seepage deformation characteristics of the soil and rock layers.
[0047] In one feasible implementation, a geological model of the target mining slope is performed to obtain an initial geomechanical model of the target mining slope. This initial geomechanical model includes the geometric parameters of the goaf, the target mining slope, and the geometric shapes and positional relationships of various components such as soil and rock layers. The initial geomechanical model is then meshed to ensure that the mesh density and accuracy meet the requirements of numerical analysis.
[0048] In one feasible implementation, physical, mechanical, and hydrological parameters are assigned to the initial geomechanical model, and the soil and rock parameters of the corresponding goaf are adjusted according to the overlying rock collapse characteristic parameters. Based on the adjustment process, the initial geomechanical model is updated to obtain the geomechanical model of the target mining slope.
[0049] Furthermore, the collapse morphology of the overlying rock in the goaf typically includes the collapse height, the height of the water-conducting fracture zone, the height of the flexural subsidence zone, and the collapse angle. Residual void distribution parameters typically include residual porosity and void distribution morphology.
[0050] Furthermore, the elastic modulus of the soil and rock layers is reduced based on the degree of damage in the slump state, water-conducting fracture zone, and flexural subsidence zone. For example, the elastic modulus of the slump zone can be taken as 1 / 20 to 1 / 30 of the original elastic modulus of the soil and rock layers. The cohesion and internal friction angle are adjusted according to the degree of fragmentation in the slump state. For example, the cohesion of the slump zone can be taken as 1 / 20 to 1 / 30 of the original cohesion of the soil and rock layers.
[0051] Furthermore, the elastic modulus of the soil and rock layer is adjusted based on the remaining porosity. A higher porosity results in a lower elastic modulus. For example, when the remaining porosity is 30%, the elastic modulus can be taken as 1 / 3 of the original elastic modulus of the soil and rock layer. The cohesion and internal friction angle are also adjusted based on the remaining porosity. A higher porosity results in lower cohesion and internal friction angle. For example, when the remaining porosity is 30%, the cohesion can be taken as 1 / 3 of the original cohesion of the soil and rock layer.
[0052] Furthermore, the permeability coefficient is adjusted based on the porosity distribution pattern. A higher porosity results in a higher permeability coefficient. For example, when the remaining porosity is 30%, the permeability coefficient can be taken as half of the original soil and rock permeability coefficient. Adjusting the permeability coefficient and seepage deformation characteristics according to the porosity distribution pattern prevents groundwater from entering the mined-out area through the porosity.
[0053] S103. Based on the analysis of slope failure modes under the influence of mining in the goaf using a geomechanical model, the stability coefficient of the target mining slope is obtained.
[0054] In one feasible implementation, a geomechanical model is used to analyze the impact of overburden collapse characteristic parameters in the goaf on the stability of the target mining slope. Furthermore, the failure modes of the target mining slope are obtained. Further, if the shear stress generated by overburden collapse exceeds the shear strength of the soil and rock mass, the target mining slope experiences local shear failure. If the overburden collapse reduces the overall stability of the target mining slope, forming a slip surface, the target mining slope experiences overall slip failure. If the top soil and rock mass of the target mining slope loses support due to overburden collapse and undergoes toppling deformation, the target mining slope experiences toppling failure. If the tensile stress generated internally by overburden collapse causes tensile cracking in the soil and rock mass, the target mining slope experiences tensile failure.
[0055] Furthermore, based on the failure mode of the target mining slope, the possible location of the slip surface is determined. The sliding force is determined based on factors such as the weight of the rock mass and water pressure at the slip surface. The resisting force is determined based on the shear strength (internal friction angle, cohesion) and normal stress of the soil and rock mass at the slip surface. Dividing the resisting force by the sliding force yields the stability coefficient of the target mining slope.
[0056] S104. Determine the design parameters of the filling grout and the filling range parameters of the goaf based on the stability coefficient.
[0057] In one feasible implementation, the required type of backfill grout for the goaf is determined based on the stability coefficient and the parameters of the remaining cavities (voids) in the goaf. Further, suitable backfill grout materials are selected based on the required type of backfill grout. Further, the design parameters of the backfill grout, such as the water-to-solid ratio, water-to-cement ratio, grout fluidity, and stone-forming rate, are determined based on the moisture content and particle density parameters of the backfill material.
[0058] In one feasible implementation, the filling height, filling width, and filling length are determined based on a filtering operation of a pre-stored database of filling grout with stability coefficients, and the filling range parameters are determined based on the filling height, filling width, and filling length. Further, the target mined-out slope is filled according to the filling grout design parameters and the filling range parameters until the target mined-out slope meets the preset stability requirements.
[0059] In summary, the disaster protection method for mining-induced slopes provided in this application comprehensively and accurately reflects the actual geological conditions of the target mining-induced slope by considering soil and rock layer parameters, goaf geometric parameters, and goaf overburden collapse characteristics. By establishing a geomechanical model of the target mining-induced slope, the failure process can be simulated more precisely, and the slope failure modes under different mining conditions can be analyzed. Compared to single-parameter evaluation methods, the obtained stability coefficient is more accurate, providing a more reliable basis for slope stability assessment and effectively reducing the risk of slope instability. Determining the design parameters and filling range parameters of the filling grout based on the stability coefficient ensures that the performance of the filling grout matches the actual stability requirements of the slope, accurately determines the partial filling range of the goaf, effectively prevents the occurrence of these geological disasters, and reduces the amount of filling, resulting in significant economic, social, and environmental benefits.
[0060] Figure 2 This is a schematic flowchart illustrating another disaster protection method based on mining-induced slopes provided in an embodiment of this application. Figure 2 As shown, the method includes, but is not limited to, the following steps:
[0061] S201, determine the soil and rock layer parameters, goaf geometric parameters, and goaf overburden collapse characteristic parameters of the target mining slope.
[0062] In one feasible implementation, the physical and mechanical properties of the target mining slope are analyzed to obtain the density, cohesion, and internal friction angle of the soil and rock mass, and the density, cohesion, and internal friction angle are used as parameters of the soil and rock layer.
[0063] In one feasible implementation, geophysical analysis is performed on the target mining slope to obtain the planar dimensions and vertical distribution boundaries of the goaf, and the planar dimensions and vertical distribution boundaries are used as the geometric parameters of the goaf.
[0064] In one feasible implementation, drilling and geophysical exploration are conducted on the target mining slope to obtain the collapse morphology and remaining void distribution parameters of the overlying rock in the goaf. The collapse morphology and remaining void distribution parameters are then used as characteristic parameters of the overlying rock collapse in the goaf.
[0065] S202, based on the parameters of the soil and rock layers and the geometric parameters of the goaf, determine the geomechanical model of the target mining slope.
[0066] In one feasible implementation, numerical simulation is used to perform mechanical analysis on the parameters of the soil and rock layers and the geometric parameters of the goaf, so as to obtain the deformation characteristic parameters of the target mining slope.
[0067] In one feasible implementation, a time-series-based three-dimensional geological model is performed on the deformation characteristic parameters to obtain a geomechanical model of the target mining slope. Furthermore, the boundary conditions of the target mining slope are determined based on the actual detected boundary conditions.
[0068] S203. Input the characteristic parameters of the overlying rock collapse in the goaf into the geomechanical model. The geomechanical model analyzes the influence of the characteristic parameters on the stability of the target mining slope under the influence of mining in the goaf, and obtains the slope failure mode under different mining conditions.
[0069] In one feasible implementation, the characteristic parameters of overburden collapse in the goaf are input into a geomechanical model. The collapse process of the overburden in the goaf is analyzed through numerical simulation. Furthermore, the initial state of the geomechanical model is set according to the initial stress field and boundary conditions. Further, the mining process of the goaf is simulated step by step, and the deformation and failure characteristics of the overburden are analyzed. Further, based on the overburden collapse characteristic parameters, the formation and development of collapse zones, fracture zones, and subsidence bending zones are simulated, and the simulation results are output. These simulation results include stress field, displacement field, plastic zone distribution, and crack distribution.
[0070] In one feasible implementation, simulation results are used to analyze the slope failure modes of the target mining slope under different mining conditions, including local shear failure, slope creep deformation failure, and large-scale landslide failure.
[0071] The simulation results were then compared with historical actual monitoring data (such as slope deformation and stress distribution) to verify the accuracy of the simulation results. The specific verification process will not be described in detail here.
[0072] S204. The rigid body limit equilibrium method was used to analyze the failure mode and the stability coefficient of the target mining slope was obtained.
[0073] In one feasible implementation, a rigid body limit equilibrium method analysis is performed using a geomechanical model to analyze the failure mode and obtain the impact of mining activity on the stability of the target mining slope. Furthermore, the failure mode of the target mining slope is obtained. Further, if parameters such as cohesion and internal friction angle of the target mining slope decrease or become zero due to overburden collapse, the local resistance to sliding of the target mining slope decreases. If the target mining slope experiences large-scale overburden collapse due to a further increase in the mining area of the goaf, the collapsed area only generates sliding force, and the resistance to sliding is zero. The collapsed area forms a sliding surface, leading to a decrease in the overall stability of the slope. In this case, the target mining slope will undergo creep deformation, or even a large-scale landslide disaster.
[0074] Furthermore, based on the failure mode of the target mining slope, the possible location of the slip surface is determined. The sliding force is determined based on parameters such as the unit weight of the rock mass at the slip surface. The resisting force is determined based on the shear strength (internal friction angle, cohesion) and normal stress of the soil and rock mass at the slip surface. Dividing the resisting force by the sliding force yields the stability coefficient of the target mining slope.
[0075] In another feasible implementation, feature extraction can be performed on the failure mode to obtain the potential sliding surface and failure path of the target mining slope.
[0076] Furthermore, a mechanical model is established based on the potential sliding surface and failure path. The target mining slope is then meshed. Further, based on the mesh model, strength parameters of the soil and rock mass (such as internal friction and cohesion) are input into different meshes to calculate the anti-sliding force and sliding force of the target mining slope at failure. The stability coefficient of the target mining slope is determined based on the ratio of the anti-sliding force to the sliding force.
[0077] In one feasible implementation, the stability coefficient of the target mining slope is determined using the rigid body limit equilibrium method.
[0078] Exemplary illustration, Figure 3 This is a schematic cross-sectional view of the target mining slope provided according to an embodiment of this application. The calculation formula of the rigid body limit equilibrium method is:
[0079]
[0080] Where c represents the cohesion of the overburden soil in the goaf; ρ represents the density of the overburden soil in the goaf; h represents the normal thickness of the overburden soil in the goaf; θ represents the dip angle of the soil; L represents the total length (slope length) of the target mining slope; and l represents the total length (slope length) of the goaf. This indicates the friction angle within the overlying soil of the goaf.
[0081] S205, determine the design parameters of the filling grout and the filling range parameters of the goaf based on the stability coefficient.
[0082] In one feasible implementation, the stability coefficient is matched with a pre-stored database of filling grout to obtain the required filling height, width, and length of the target mined-out slope, as well as the required type, water-cement ratio, and solids ratio of the filling grout. Further, the filling range parameters of the goaf are determined based on the height, width, and length. Further, the amount of filling grout used is determined based on the water-cement ratio and solids ratio, and the type and amount are used as design parameters for the filling grout.
[0083] For example, the filling grout can be composed of water, cement, and fly ash. The amounts of water, cement, and fly ash in the filling grout can be expressed as follows:
[0084]
[0085]
[0086] Among them, W 水 Expressed as the mass of water in 1 cubic meter of filling grout; W 水泥 Expressed as the mass of cement in 1 cubic meter of filling grout; W 粉煤灰 The mass of fly ash in 1 cubic meter of filling grout; ρ 水 The density of water is expressed as ρ. 水泥 The density of cement particles is expressed as ρ. 粉煤灰 The density of fly ash is expressed as the particle density; the water content is expressed as the mass ratio of water to 1 cubic meter of filling grout; the cement content is expressed as the mass ratio of cement to 1 cubic meter of filling grout; and the fly ash content is expressed as the mass ratio of fly ash to 1 cubic meter of filling grout.
[0087] In one feasible implementation, based on the design parameters of the filling grout and the filling range parameters, partial grouting reinforcement is performed on the goaf area within the target mining slope according to the rock strata dip from low to high, to obtain the stability result after partial grouting reinforcement. Further, if the stability result meets the preset requirements, the partial grouting reinforcement operation is terminated; if the stability result does not meet the preset requirements, partial grouting reinforcement continues until the target mining slope meets the preset stability requirements.
[0088] Exemplary illustration, such as Figure 3 As shown, the stability coefficient parameter of the target mining slope goaf after partial filling can be expressed as:
[0089]
[0090] Among them, l ′ This indicates the filling length (slope length) of the grout used to fill the goaf.
[0091] In summary, the disaster protection method for mining-induced slopes provided in this application comprehensively and accurately reflects the actual geological conditions of the target mining-induced slope by considering soil and rock layer parameters, goaf geometric parameters, and goaf overburden collapse characteristics. By establishing a geomechanical model of the target mining-induced slope, the failure process can be simulated more precisely, and slope failure modes under different mining conditions can be analyzed. Compared to single-parameter evaluation methods, the obtained stability coefficient is more accurate, providing a more reliable basis for slope stability assessment and effectively reducing the risk of slope instability. Determining the design parameters and filling range parameters of the filling grout based on the stability coefficient ensures that the performance of the filling grout matches the actual stability requirements of the slope, accurately determines the partial filling range of the goaf, effectively prevents the occurrence of these geological disasters, and reduces the amount of filling, resulting in significant economic, social, and environmental benefits.
[0092] Figure 4 This is a structural schematic diagram of a disaster protection system based on mining-induced slopes, provided as an embodiment of this application. Figure 4 As shown, the disaster protection system 400 based on mining-induced slopes includes:
[0093] The first acquisition module 401 is used to determine the soil and rock layer parameters, goaf geometric parameters, and goaf overburden collapse characteristic parameters of the target mining slope.
[0094] The second acquisition module 402 is used to determine the geomechanical model of the target mining slope based on the parameters of the soil and rock layers, the geometric parameters of the goaf, and the collapse characteristics of the overlying rock of the goaf.
[0095] The third acquisition module 403 is used to analyze the slope failure mode under the influence of mining in the goaf based on the geomechanical model, and obtain the stability coefficient of the target mining slope.
[0096] The fourth acquisition module 404 is used to determine the filling range parameters and the design parameters of the filling slurry of the goaf based on the stability coefficient.
[0097] Figure 5 This is a schematic diagram of the structure of an electronic device provided according to an embodiment of this application. Figure 5 The electronic device shown is merely an example and should not impose any limitation on the functionality and scope of use of the embodiments of this application.
[0098] like Figure 5As shown, the electronic device 500 includes a processor 501, which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 502 or a program loaded from memory 506 into a random access memory (RAM) 503. The RAM 503 also stores various programs and data required for the operation of the electronic device 500. The processor 501, ROM 502, and RAM 503 are interconnected via a bus 504. An input / output (I / O) interface 505 is also connected to the bus 504.
[0099] The following components are connected to I / O interface 505: memory 506 including hard disks, etc.; and communication section 507 including network interface cards such as LAN (Local Area Network) cards, modems, etc., which performs communication processing via a network such as the Internet; and driver 508 is also connected to I / O interface 505 as needed.
[0100] Specifically, according to embodiments of this application, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, embodiments of this application include a computer program carried on a computer-readable medium, the computer program containing program code for performing the methods shown in the flowcharts. In such embodiments, the computer program can be downloaded and installed from a network via communication section 507. When the computer program is executed by processor 501, it performs the functions defined in the methods of this application.
[0101] In an exemplary embodiment, a storage medium including instructions is also provided, such as a memory including instructions, which can be executed by the processor 501 of the electronic device 500 to perform the above-described method. Optionally, the storage medium may be a non-transitory computer-readable storage medium, such as a ROM, random access memory (RAM), CD-ROM, magnetic tape, floppy disk, and optical data storage device.
[0102] In this application, a computer-readable storage medium can be any tangible medium containing or storing a program that can be used by or in connection with an instruction execution system, apparatus, or device. In this application, a computer-readable signal medium can include a data signal propagated in baseband or as part of a carrier wave, carrying computer-readable program code. Such propagated data signals can take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination thereof. A computer-readable signal medium can also be any computer-readable medium other than a computer-readable storage medium, which can transmit, propagate, or transmit a program for use by or in connection with an instruction execution system, apparatus, or device. The program code contained on the computer-readable medium can be transmitted using any suitable medium, including but not limited to: wireless, wireline, optical fiber, RF, etc., or any suitable combination thereof.
[0103] Other embodiments of the invention will readily occur to those skilled in the art upon consideration of the specification and practice of the invention disclosed herein. This application is intended to cover any variations, uses, or adaptations of the invention that follow the general principles of the invention and include common knowledge or customary techniques in the art not disclosed herein. The specification and examples are to be considered exemplary only, and the true scope and spirit of this application are indicated by the following claims.
[0104] It should be understood that this application is not limited to the precise structure described above and shown in the accompanying drawings, and various modifications and changes can be made without departing from its scope. The scope of this application is limited only by the appended claims.
Claims
1. A disaster protection method for mining-affected slopes, characterized in that, include: Determine the soil and rock layer parameters, goaf geometric parameters, and goaf overburden collapse characteristic parameters of the target mining slope; Based on the parameters of the soil and rock layers, the geometric parameters of the goaf, and the collapse characteristics of the overlying rock in the goaf, the geomechanical model of the target mining slope is determined. Based on the analysis of slope failure modes under the influence of mining in the goaf using the aforementioned geomechanical model, the stability coefficient of the target mining slope is obtained. The filling range parameters and design parameters of the filling slurry for the goaf are determined based on the stability coefficient.
2. The method according to claim 1, characterized in that, The determination of the soil and rock layer parameters, goaf geometric parameters, and goaf overburden collapse characteristic parameters of the target mining slope includes: The physical and mechanical properties of the target mining slope are analyzed to obtain the density, cohesion, and internal friction angle of the soil and rock mass. The density, cohesion, and internal friction angle are used as parameters of the soil and rock layer. Geophysical analysis was performed on the target mining slope to obtain the planar dimensions and vertical distribution boundary of the goaf, and the planar dimensions and vertical distribution boundary were used as the geometric parameters of the goaf. Drilling and geophysical exploration were conducted on the target mining slope to obtain the collapse morphology and remaining void distribution parameters of the overlying rock in the goaf. The collapse morphology and remaining void distribution parameters were used as the collapse characteristic parameters of the overlying rock in the goaf.
3. The method according to claim 1, characterized in that, The process of determining the geomechanical model of the target mining slope based on the soil and rock layer parameters and the geometric parameters of the goaf includes: Numerical simulation methods were used to perform mechanical analysis on the parameters of the soil and rock layers, the geometric parameters of the goaf, and the collapse characteristics of the overlying rock in the goaf, so as to obtain the deformation characteristics of the target mining slope. A time-series-based three-dimensional geological model is performed on the deformation characteristic parameters to obtain the geomechanical model of the target mining slope.
4. The method according to claim 1, characterized in that, The analysis of slope failure modes under the influence of mining in the goaf based on the geomechanical model yields the stability coefficient of the target mining slope, including: The collapse characteristic parameters of the overlying rock in the goaf are input into the geomechanical model, and the geomechanical model simulates the mining process of the goaf to obtain the failure mode of the target mining slope under different mining conditions. The stability coefficient of the target mining slope was obtained by performing rigid body limit equilibrium analysis on the failure mode.
5. The method according to claim 4, characterized in that, The stability coefficient of the target mining slope is obtained by performing rigid body limit equilibrium analysis on the failure mode, including: Feature extraction is performed on the failure mode to obtain the potential sliding surface and failure path of the target mining slope; The stability coefficient of the target mining slope is obtained by analyzing the potential sliding surface and the failure path using the rigid body limit equilibrium method.
6. The method according to any one of claims 1-5, characterized in that, The process of determining the filling range parameters and filling slurry design parameters of the goaf based on the stability coefficient includes: The stability coefficient is matched with the pre-stored filling grout database to obtain the required filling height, width and length of the target mining slope, as well as the type, water-cement ratio and solid ratio of the required filling grout. The filling range parameters of the goaf are determined based on the height, width, and length. The amount of filling grout is determined based on the water-cement ratio and the solids ratio, and the type and amount are used as design parameters for the filling grout.
7. The method according to claim 6, characterized in that, After determining the design parameters for the filling grout in the goaf, the process also includes: Based on the filling grout design parameters and the filling range parameters, partial grouting reinforcement is carried out on the goaf area within the target mining slope according to the rock strata dip from low to high, and the stability results after partial grouting reinforcement are obtained. If the stability results meet the preset requirements, then the partial grouting reinforcement operation is terminated. If the stability result does not meet the preset requirements, then partial grouting reinforcement will continue until the target mining slope meets the preset stability requirements.
8. A disaster protection system based on mining-induced slopes, characterized in that, include: The first acquisition module is used to determine the soil and rock layer parameters, goaf geometric parameters, and goaf overburden collapse characteristic parameters of the target mining slope. The second acquisition module is used to determine the geomechanical model of the target mining slope based on the soil and rock layer parameters, the geometric parameters of the goaf area, and the overlying rock collapse characteristic parameters of the goaf area. The third acquisition module is used to analyze the slope failure mode under the influence of mining in the goaf based on the geomechanical model, and obtain the stability coefficient of the target mining slope. The fourth acquisition module is used to determine the filling range parameters and the design parameters of the filling slurry of the goaf based on the stability coefficient.
9. The system according to claim 8, characterized in that, The third acquisition module is also used for: The collapse characteristic parameters of the overlying rock in the goaf are input into the geomechanical model, and the geomechanical model simulates the mining process of the goaf to obtain the failure mode of the target mining slope under different mining conditions. The stability coefficient of the target mining slope was obtained by performing rigid body limit equilibrium analysis on the failure mode.
10. The system according to claim 9, characterized in that, The third acquisition module is also used for: Feature extraction is performed on the failure mode to obtain the potential sliding surface and failure path of the target mining slope; The stability coefficient of the target mining slope is obtained by analyzing the potential sliding surface and the failure path using the rigid body limit equilibrium method.