Slope grouting reinforcement optimization method, device, equipment and medium
Through scientific and reasonable simulation calculation and iterative optimization design, the optimal design parameters for slope grouting reinforcement are determined, which solves the problem of difficult to accurately grasp the grouting effect and excessive grouting in the existing technology, and achieves safety and stability of the slope, while minimizing the grouting range, reducing engineering costs and improving construction efficiency.
Patent Information
- Application Number
- CN202411741956.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-11-29
- Publication Date
- 2025-03-04
AI Technical Summary
The existing slope grouting reinforcement technology lacks scientific data support and systematic calculation methods, which makes it difficult to accurately grasp the grouting effect and uncertainty. Overgrouting will increase material consumption and construction costs, affecting the long-term stability of the slope.
By obtaining the slope geometric parameters, designing the maximum and minimum grouting depth values, determining the number and location of grouting points, and based on simulation modeling and iterative optimization design, calculate the grouting depth values that meet the safety factor design value requirements, and select the optimal grouting depth values to achieve minimization of grouting range.
On the premise of ensuring the safety and stability of the slope, minimize the grouting range, reduce the grouting volume and construction workload, reduce project costs, improve construction efficiency, and ensure construction quality.
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Figure CN119558079A_ABST
Abstract
Description
Technical Field
[0001] The invention relates to the technical field of slope optimization, and in particular to a slope grouting reinforcement optimization method, device, equipment and medium. Background Art
[0002] Slope reinforcement is a key measure to ensure slope stability, and grouting technology is one of the most commonly used reinforcement methods. At present, slope grouting reinforcement mostly relies on the experience and judgment of construction personnel, lacking scientific data support and systematic calculation methods, which makes it difficult to accurately grasp the effect of grouting reinforcement and there is uncertainty in the reinforcement effect.
[0003] In some projects, in order to avoid the risk of slope instability, conservative over-grouting is usually adopted to ensure safety. However, over-grouting will not only greatly increase material consumption and construction costs, but may also lead to extended construction time. Especially in large-scale slope projects, excessive grouting not only causes waste of resources, but also reduces the economic efficiency of the project. In addition, over-grouting may also change the soil structure of the slope, which will have an adverse effect on the long-term stability of the slope.
[0004] On the other hand, in some projects, due to economic considerations, the grouting range or grouting area may be improperly designed, which makes it impossible to ensure the stability of the slope. In this case, it is easy to cause slope instability, resulting in large property losses, and even safety problems. Therefore, ensuring a reasonable grouting design is crucial to achieving a balance between slope safety and economic benefits. Summary of the invention
[0005] Based on this, it is necessary to provide a slope grouting reinforcement optimization method, device, equipment and medium that can reasonably determine the grouting range and minimize the grouting volume and construction workload while ensuring the stability of the slope in response to the above technical problems.
[0006] A slope grouting reinforcement optimization method, the method comprising: Obtain slope geometric parameters and design maximum and minimum grouting depth; Determine the number and location of grouting points, and randomly generate a first set of grouting depth values based on the maximum depth value and the minimum depth value; Perform simulation modeling according to the geometric parameters of the slope, the number and positions of the grouting points, and the first group of grouting depth values, calculate the safety factor of the first slope after grouting, and when the safety factor of the first slope meets the requirements of the design value of the safety factor, retain the first group of grouting depth values, and calculate the area of the first grouting range; randomly generating a second set of grouting depth values according to the first set of grouting depth values, calculating a second slope safety factor, retaining the second set of grouting depth values when the second slope safety factor meets the safety factor design value requirement, and calculating a second grouting range area; Through iterative calculation, each group of grouting depth values that meet the design value requirements of the safety factor are obtained, and the optimal grouting depth value is selected according to the grouting range area.
[0007] A slope grouting reinforcement optimization device, the device comprising: Parameter acquisition module, used to obtain slope geometric parameters and design maximum and minimum grouting depth; A first group of grouting depth value calculation module, used for determining the number and location of grouting points, and randomly generating a first group of grouting depth values based on the maximum depth value and the minimum depth value; A simulation calculation module, used for performing simulation modeling according to the geometric parameters of the slope, the number and positions of the grouting points and the first group of grouting depth values, calculating the safety factor of the first slope after grouting, retaining the first group of grouting depth values when the safety factor of the first slope meets the requirements of the safety factor design value, and calculating the area of the first grouting range; A second group of grouting depth value calculation module is used to randomly generate a second group of grouting depth values according to the first group of grouting depth values, calculate the second slope safety factor, and when the second slope safety factor meets the safety factor design value requirement, retain the second group of grouting depth values and calculate the second grouting range area; The optimal grouting depth value determination module is used to obtain each group of grouting depth values that meet the safety factor design value requirements through iterative calculation, and select the optimal grouting depth value according to the grouting range area.
[0008] A computer device comprises a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps of the slope grouting reinforcement optimization method when executing the computer program.
[0009] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the steps of the slope grouting reinforcement optimization method.
[0010] The above-mentioned slope grouting reinforcement optimization method, device, equipment and medium design the maximum and minimum grouting depths by obtaining the geometric parameters of the slope; determine the number and positions of the grouting points, and randomly generate a first group of grouting depth values based on the maximum and minimum depths; perform simulation modeling according to the geometric parameters of the slope, the number and positions of the grouting points and the first group of grouting depth values, calculate the safety factor of the first slope after grouting, and when the safety factor of the first slope meets the design value requirements of the safety factor, retain the first group of grouting depth values, and calculate the area of the first grouting range; randomly generate a second group of grouting depth values according to the first group of grouting depth values, calculate the safety factor of the second slope, and when the safety factor of the second slope meets the design value requirements of the safety factor, retain the second group of grouting depth values, and calculate the area of the second grouting range; obtain each group of grouting depth values that meet the design value requirements of the safety factor through iterative calculation, and select the optimal grouting depth value according to the area of the grouting range.
[0011] The method proposed in the present invention uses scientific and reasonable simulation calculation and iterative optimization design to select the optimal grouting design parameters for each group of grouting points whose slope safety factor meets the design value of the safety factor, taking the grouting range area as the objective function. It can minimize the grouting range and reduce the grouting amount and construction workload as much as possible while ensuring the safety and stability of the slope. This can not only reduce the project cost, but also improve the construction efficiency and effectively guarantee the construction quality, which has important engineering value and economic significance. BRIEF DESCRIPTION OF THE DRAWINGS
[0012] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art 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 the structures shown in these drawings without paying creative work.
[0013] Figure 1 It is a schematic flow chart of the slope grouting reinforcement optimization method in Example 1; Figure 2 Schematic diagram of the outer contour line and corner point coordinate positions of the slope in Example 1; Figure 3 Schematic diagram of the grouting depths of each grouting point into the rock and soil body in Example 1; Figure 4 This is a schematic diagram of the first grouting range area in Example 1; Figure 5 It is a schematic diagram of simulation modeling according to the area of the first grouting range in Example 1; Figure 6 Schematic diagram of the optimal grouting range area calculated in Example 1; Figure 7 It is a schematic diagram of simulation modeling according to the optimal grouting range area in Example 1; Figure 8 It is a structural block diagram of the slope grouting reinforcement optimization device in Example 2; Fig. 9 FIG. 4 is a diagram showing the internal structure of a computer device in one embodiment.
[0014] The realization of the purpose, functional features and advantages of the present invention will be further explained in conjunction with embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION
[0015] 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.
[0016] It should be noted that all directional indications (such as up, down, left, right, front, back, etc.) in the embodiments of the present invention are only used to explain the relative position relationship, movement status, etc. between the components under a certain specific posture (as shown in the accompanying drawings). If the specific posture changes, the directional indication will also change accordingly.
[0017] In addition, in the present invention, descriptions such as "first", "second", etc. are only used for descriptive purposes and cannot be understood as indicating or implying their relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" or "second" may explicitly or implicitly include at least one of the features. In the description of the present invention, the meaning of "plurality" is at least two, such as two, three, etc., unless otherwise clearly and specifically defined.
[0018] In addition, the technical solutions between the various embodiments of the present invention can be combined with each other, but it must be based on the fact that ordinary technicians in the field can implement it. When the combination of technical solutions is contradictory or cannot be implemented, it should be deemed that such combination of technical solutions does not exist and is not within the scope of protection required by the present invention.
[0019] The following will describe the implementation of the present invention in detail with reference to the accompanying drawings in the embodiment diagram of the present invention.
[0020] Example 1 This embodiment discloses a slope grouting reinforcement optimization method. Through scientific and reasonable simulation calculation and iterative optimization design, for each group of grouting points whose slope safety factor meets the design value of the safety factor, the optimal grouting design parameters are selected with the grouting range area as the objective function. It can minimize the grouting range and reduce the grouting amount and construction workload as much as possible while ensuring the safety and stability of the slope. This can not only reduce engineering costs, but also improve construction efficiency and effectively ensure construction quality, which has important engineering value and economic significance.
[0021] refer to Figure 1 As shown, the slope grouting reinforcement optimization method provided includes the following steps: Step 201, obtaining the geometric parameters of the slope and designing the maximum and minimum grouting depths.
[0022] Step 202, determine the number and positions of grouting points, and randomly generate a first set of grouting depth values based on the maximum depth and the minimum depth.
[0023] Step 203, simulation modeling is performed according to the geometric parameters of the slope, the number and location of the grouting points and the first set of grouting depth values, and the safety factor of the first slope after grouting is calculated. When the safety factor of the first slope meets the requirements of the design value of the safety factor, the first set of grouting depth values is retained, and the area of the first grouting range is calculated.
[0024] Step 204, randomly generate a second set of grouting depth values according to the first set of grouting depth values, calculate the second slope safety factor, and when the second slope safety factor meets the safety factor design value requirement, retain the second set of grouting depth values and calculate the second grouting range area.
[0025] Step 205, through iterative calculation, obtain each group of grouting depth values that meet the safety factor design value requirements, and select the optimal grouting depth value according to the grouting range area.
[0026] In the specific implementation process of step 201, the basic information such as the geomorphic characteristics, soil type and rock and soil physical parameters of the slope is generally obtained through geological survey data, and then the geometric parameters of the slope are determined based on this basic information. The geometric parameters of the slope include the geometric profile of the slope, the coordinates of the corner points of the slope, and other information. Figure 2 The figure shows the schematic diagram of the outer contour line of the slope and the coordinate positions of the corner points given in this embodiment.
[0027] And based on these basic information, determine the maximum grouting depth and depth minimum For example, in this embodiment, the maximum depth The minimum depth is 30m. It is worth noting that, for ease of understanding, this embodiment uses Figure 2The slope shown is grouting optimized, and the maximum and minimum grouting depths are given for illustration, but they are not intended to limit the technical solution of the present invention.
[0028] In the specific implementation process of step 202, the number of grouting points is determined according to the geological conditions of the slope, the instability range, the reinforcement target and the construction requirements; the location of the grouting points is determined according to the geological characteristics of the slope, the instability range and the reinforcement plan. Figure 3 As shown in the figure, 10 grouting points are preset, and the slope foot p1 and slope shoulder p10 are determined according to the slope corner information, and the 10 grouting points are evenly distributed between the slope foot p1 and the slope shoulder p10 (including the slope foot p1 and the slope shoulder p10). In the subsequent calculation, the 10 grouting points are used as a group for calculation.
[0029] Then, based on the maximum depth and the minimum depth, the first set of grouting depth values corresponding to the grouting points is randomly generated, and the expression is: ; In the formula, Indicates the first group of grouting points The grouting depth value of each grouting point; Indicates the maximum depth of grouting; Indicates the minimum depth of grouting; Represents a random number between 0 and 1.
[0030] In the specific implementation process of step 203, simulation modeling is performed according to the geometric parameters of the slope, the number and position of the grouting points, and the first set of grouting depth values to calculate the safety factor of the first slope after grouting, including: Slope modeling is performed according to the slope geometric parameters to obtain the coordinates of the slope corner points.
[0031] The number and position of the first group of grouting points are determined based on the corner point coordinates. According to the number and position of the first group of grouting points, each grouting point is perpendicular to the slope surface and penetrates into the rock mass to a corresponding grouting depth value.
[0032] Determine the grouting unit and the geotechnical unit; assign mechanical parameters to the grouting unit and the geotechnical unit, and calculate the first slope safety factor.
[0033] Specifically, after determining the coordinates of the slope foot and the slope shoulder, 10 grouting points are evenly distributed at the slope foot p1, the slope shoulder p10, and between the slope foot and the slope shoulder. The 10 grouting points (p1, p2, p3, p4, p5, p6, p7, p8, p9, p10) are perpendicular to the slope surface and penetrate into the rock and soil body to the corresponding grouting depth value (L1, L2, L3, L4, L5, L6, L7, L8, L9, L10). Then, the first grouting range area is calculated according to the grouting range area expression to determine the grouting area. In the simulation calculation, the grouting area is regarded as a grouting unit body, and the area outside the grouting area is regarded as a rock and soil unit body. Then, the mechanical parameters shown in Table 1 are assigned to the grouting unit body and the rock and soil unit body.
[0034] Table 1 Mechanical parameters of the unit body and rock and soil in the grouting area
[0035] Then the strength reduction method is used to determine the safety factor of the slope under the two units. When the safety factors of the slopes of the two units are greater than or equal to the design value of the safety factor, it means that the design of the first set of grouting depth values meets the requirements of slope stability. Then the grouting range area is It is calculated as the objective function value and serves as an economic indicator to provide a basis for the subsequent selection of the optimal grouting depth value. When any of the slope safety factors of the two units after grouting is less than the design value of the safety factor, it means that the design of the first set of grouting depth values does not meet the requirements of slope stability, and the objective function is infinite.
[0036] The area of the first grouting range is calculated based on the first set of grouting depth values, and the expression is: ; In the formula, Indicates the grouting area; Indicates the length of the slope; Indicates the first group of grouting points The grouting depth value of each grouting point; Indicates the number of grouting points. The calculated area of the first grouting range is as follows: Figure 4 As shown in the figure, the grouting area is determined according to the area of the first grouting range, the grouting area is regarded as a grouting unit body, and the area outside the grouting area is regarded as a geotechnical unit body for modeling. After simulation modeling, Figure 5 shown.
[0037] In the specific implementation process of step 204, a second set of grouting depth values is randomly generated according to the first set of grouting depth values, and the expression is: ; In the formula, Indicates the second group of grouting points The grouting depth value of each grouting point; Indicates the first group of grouting points The grouting depth value of each grouting point; Indicates the maximum depth of grouting; Indicates the minimum depth of grouting; Represents a random number between 0 and 1.
[0038] The second group of grouting depth values are randomly generated according to the first group of grouting depth values, and the method further comprises: if the first group of grouting points in the generated second group of grouting points is If the grouting depth value of a grouting point is not between the maximum depth value and the minimum depth value, it is regenerated.
[0039] It can be understood that randomly generating the second set of grouting depth values based on the first set of grouting depth values can be optimized based on existing experience, avoiding completely random or blind grouting depth generation, gradually optimizing the depth values, reducing the uncertainty of grouting depth selection, and forming a more accurate grouting plan.
[0040] In the specific implementation process of step 205, through iterative calculation, each group of grouting depth values that meet the requirements of the safety factor design value is obtained, and the optimal grouting depth value is selected according to the grouting range area. There are two ways: Method 1: During the iteration process, the first set of grouting depth values As the optimal grouting depth , and the first grouting area As the optimal objective function .
[0041] The number of iterations is increased by 1. When the calculated safety factor of the second slope meets the design value of the safety factor, the area of the second grouting range is determined. Is it less than the optimal objective function? If yes, then the second grouting area Replace with the optimal objective function ,Right now , and the second set of grouting depth values Replace with the optimal grouting depth value ,Right now ; After the iterative calculation is completed, the final optimal grouting depth value is obtained.
[0042] Method 2: After the iteration is completed, all groups of grouting depth values that meet the requirements of the safety factor design value are obtained, sorted by the size of the grouting range area, and the grouting depth value with the smallest grouting range area is selected as the optimal grouting depth value.
[0043] It can be understood that the design value of the safety factor is determined according to the specifications. After grouting reinforcement, the safety factor of the grouting unit and the geotechnical unit should not be less than the design value of the safety factor in order to meet the requirements of the specifications and ensure the stability of the slope.
[0044] Taking the grouting range area as the objective function, the economy of each set of grouting design parameters can be measured. During the iteration process, on the premise of meeting the safety factor design requirements, the grouting design parameters with the smallest grouting range area are selected as the optimal grouting depth value. While ensuring the stability of slope grouting, the engineering economy is taken into consideration, thereby greatly saving engineering resources.
[0045] Grouting design parameters include the number and location of grouting points, grouting depth, etc. The number and location of grouting points are reasonably calculated based on geological survey data, and the grouting depth is determined through iterative optimization. After the grouting design parameters are determined, construction plans can be formulated and the amount of grouting materials can be calculated based on this information.
[0046] The two optimal grouting depth determination methods given in this step can select the iterative process according to the situation. Among them, the first method gives the grouting range area in each iteration process, and uses the grouting range area as the objective function to select whether to retain the corresponding grouting depth value as the optimal grouting depth value at the current number of iterations. In this way, the grouting depth value can be progressively adjusted according to the slope safety factor obtained in the previous calculation, so as to find the optimal grouting depth value within the shortest number of iterations and improve the calculation efficiency. For example, if the first set of grouting depth values calculated meet the requirements of the safety factor design value, the grouting depth value can be taken in descending order. When the calculation does not meet the requirements of the safety factor design value, it means that the critical point has been reached, and the last grouting depth value that meets the requirements of the safety factor design value can be used as the optimal grouting depth value; vice versa.
[0047] The second method is to obtain all groups of grouting depth values that meet the safety factor design value requirements within the number of iterations, and sort them according to the size of the grouting range. Not only can the optimal grouting depth value be obtained, but other grouting depth values can also be used as alternative options to respond to emergencies in the project.
[0048] In this embodiment, after the iterative calculation is completed, the optimal grouting depth values (L1, L2, L3, L4, L5, L6, L7, L8, L9, L10) are (9.05, 1.64, 1.55, 2.35, 13.52, 3.02, 7.94, 13.19, 0.76, 8.69) m, and the grouting range is as follows: Figure 6The corresponding grouting area is 166.88m2. According to the grouting depth values (9.05, 1.64, 1.55, 2.35, 13.52, 3.02, 7.94, 13.19, 0.76, 8.69) m, the FLAC3D numerical simulation results are established and the corresponding numerical simulation calculation model is obtained as shown in the figure. Figure 7 The slope safety factor calculated by the strength reduction method is 1.29, which is greater than 1.25 and meets the requirements.
[0049] It can be seen that the present invention selects N points uniformly on the slope, and then uses these N points as base points, perpendicular to the slope, to determine the grouting depth respectively, and then uses the N grouting depth values as reference points to determine the slope grouting area, and uses FLAC3D software to establish a numerical simulation calculation model. When the unit body in the model is the grouting area, the unit body is the grouting unit body, and the unit body outside the grouting area is the geotechnical unit body. The slope safety factor under different grouting area conditions is determined by the strength reduction method. When the slope safety factor after grouting is greater than or equal to the safety factor design value, the grouting area area is the objective function value, and when the slope safety factor after grouting is less than the safety factor design value, the objective function is infinite. Through continuous optimization and iteration, the grouting range is minimized under the premise of ensuring the safety and stability of the slope. The present invention is highly practical and does not need to rely on manual experience. It is suitable for the field of slope grouting reinforcement design.
[0050] Although this embodiment Figure 1 The steps in the process are shown in sequence as indicated by the arrows, but the steps are not necessarily executed in the order indicated by the arrows. Unless otherwise specified in this document, there is no strict order restriction for the execution of the steps, and the steps can be executed in other orders. Figure 1 At least part of the steps may include multiple sub-steps or multiple stages. These sub-steps or stages are not necessarily executed at the same time, but can be executed at different times. The execution order of these sub-steps or stages is not necessarily sequential, but can be executed in turn or alternately with other steps or at least part of the sub-steps or stages of other steps.
[0051] Example 2 Based on the slope grouting reinforcement optimization method in Example 1, this embodiment discloses a slope grouting reinforcement optimization device, such as Figure 8 As shown, the slope grouting reinforcement optimization device includes: a parameter acquisition module 401, a first group of grouting depth value calculation modules 402, a simulation calculation module 403, a second group of grouting depth value calculation modules 404 and an optimal grouting depth value determination module 405, wherein: The parameter acquisition module 401 is used to obtain the geometric parameters of the slope and design the maximum and minimum grouting depths.
[0052] The first group of grouting depth value calculation module 402 is used to determine the number and location of grouting points, and randomly generate a first group of grouting depth values based on the maximum depth value and the minimum depth value.
[0053] The simulation calculation module 403 is used to perform simulation modeling according to the slope geometric parameters, the number and location of the grouting points and the first set of grouting depth values, calculate the safety factor of the first slope after grouting, and when the safety factor of the first slope meets the safety factor design value requirements, retain the first set of grouting depth values and calculate the area of the first grouting range.
[0054] The second group of grouting depth value calculation module 404 is used to randomly generate a second group of grouting depth values according to the first group of grouting depth values, calculate the second slope safety factor, and when the second slope safety factor meets the safety factor design value requirement, retain the second group of grouting depth values and calculate the second grouting range area.
[0055] The optimal grouting depth value determination module 405 is used to obtain each group of grouting depth values that meet the safety factor design value requirements through iterative calculation, and select the optimal grouting depth value according to the grouting range area.
[0056] In this embodiment, the specific working process and working principle of the parameter acquisition module 401, the first group of grouting depth value calculation module 402, the simulation calculation module 403, the second group of grouting depth value calculation module 404 and the optimal grouting depth value determination module 405 are the same as those in the method of embodiment 1, so they are not repeated in this embodiment. Each unit module can be implemented in whole or in part by software, hardware and a combination thereof, and each unit module can be embedded in or independent of a processor in a computer device in the form of hardware, or can be stored in a memory in a computer device in the form of software, so that the processor can call and execute the operations corresponding to each of the above unit modules.
[0057] Example 3 like Fig. 9 The terminal device disclosed in this embodiment includes a transmitter, a receiver, a memory, and a processor. The transmitter is used to send instructions and data, the receiver is used to receive instructions and data, the memory is used to store computer-executable instructions, and the processor is used to execute the computer-executable instructions stored in the memory to implement the method in the above-mentioned embodiment 1.
[0058] It should be noted that the above memory can be independent or integrated with the processor. When the memory is independently provided, the terminal device further includes a bus for connecting the memory and the processor.
[0059] Example 4 This embodiment discloses a computer-readable storage medium, in which computer-executable instructions are stored. When a processor executes the computer-executable instructions, the method in the above-mentioned embodiment 1 is implemented.
[0060] Those of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be implemented by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application may include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.
[0061] The technical features of the above embodiments may be arbitrarily combined. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.
[0062] The above-mentioned embodiments only express several implementation modes of the present invention, and the description thereof is relatively specific and detailed, but it cannot be understood as limiting the scope of the invention. It should be pointed out that, for a person of ordinary skill in the art, several modifications and improvements can be made without departing from the concept of the present invention, and these all belong to the protection scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the attached claims.
Claims
1. A slope grouting reinforcement optimization method, characterized in that: The method comprises: Obtain slope geometric parameters and design maximum and minimum grouting depth; Determine the number and location of grouting points, and randomly generate a first set of grouting depth values based on the maximum depth value and the minimum depth value; Perform simulation modeling according to the geometric parameters of the slope, the number and positions of the grouting points, and the first group of grouting depth values, calculate the safety factor of the first slope after grouting, and when the safety factor of the first slope meets the requirements of the design value of the safety factor, retain the first group of grouting depth values, and calculate the area of the first grouting range; randomly generating a second set of grouting depth values according to the first set of grouting depth values, calculating a second slope safety factor, retaining the second set of grouting depth values when the second slope safety factor meets the safety factor design value requirement, and calculating a second grouting range area; Through iterative calculation, each group of grouting depth values that meet the design value requirements of the safety factor are obtained, and the optimal grouting depth value is selected according to the grouting range area.
2. The slope grouting reinforcement optimization method according to claim 1 is characterized in that: Based on the maximum depth value and the minimum depth value, a first set of grouting depth values is randomly generated, and the expression is: ; In the formula, Indicates the first group The grouting depth value of each grouting point; Indicates the maximum depth of grouting; Indicates the minimum depth of grouting; Represents a random number between 0 and 1.
3. The slope grouting reinforcement optimization method according to claim 1 or 2, characterized in that: The simulation modeling is performed according to the geometric parameters of the slope, the number and positions of the grouting points and the first set of grouting depth values to calculate the safety factor of the first slope after grouting, including: Perform slope modeling according to the slope geometric parameters to obtain the coordinates of the corner points of the slope; Determine the number and position of the first group of grouting points based on the corner point coordinates, and inject corresponding grouting depth values into the rock mass perpendicular to the slope surface according to the number and position of the first group of grouting points; Determine the grouting unit and the geotechnical unit; assign mechanical parameters to the grouting unit and the geotechnical unit, and calculate the first slope safety factor.
4. The slope grouting reinforcement optimization method according to claim 3 is characterized in that: The area of the first grouting range is expressed as: ; In the formula, Indicates the grouting area; Indicates the length of the slope; Indicates the first group The grouting depth value of each grouting point; Indicates the number of grouting points.
5. The slope grouting reinforcement optimization method according to claim 4 is characterized in that: The second set of grouting depth values is randomly generated according to the first set of grouting depth values, and the expression is: ; In the formula, Indicates the second group The grouting depth value of each grouting point; Indicates the first group The grouting depth value of each grouting point; Indicates the maximum depth of grouting; Indicates the minimum depth of grouting; Represents a random number between 0 and 1.
6. The slope grouting reinforcement optimization method according to claim 5 is characterized in that: The method further comprises: randomly generating a second set of grouting depth values according to the first set of grouting depth values; If the second group generated If the grouting depth value of a grouting point is not between the maximum depth value and the minimum depth value, it is regenerated.
7. The slope grouting reinforcement optimization method according to claim 6, characterized in that: Through iterative calculation, obtain each group of grouting depth values that meet the design value requirements of the safety factor, and select the optimal grouting depth value according to the grouting range area, including: In the iteration process, the first set of grouting depth values is taken as the optimal grouting depth values, and the first grouting range area is taken as the optimal objective function; When the calculated second slope safety factor meets the safety factor design value requirement, it is determined whether the second grouting range area is smaller than the optimal objective function. If so, the second grouting range area is replaced by the optimal objective function, and the second set of grouting depth values is replaced by the optimal grouting depth value. After the iterative calculation is completed, the final optimal grouting depth value is obtained. Or, after the iteration is completed, all groups of grouting depth values that meet the requirements of the safety factor design value are obtained, sorted by the size of the grouting range area, and the grouting depth value with the smallest grouting range area is selected as the optimal grouting depth value.
8. A slope grouting reinforcement optimization device, characterized in that: The device comprises: Parameter acquisition module, used to obtain slope geometric parameters and design maximum and minimum grouting depth; A first group of grouting depth value calculation module, used to determine the number and location of grouting points, and randomly generate a first group of grouting depth values based on the maximum depth value and the minimum depth value; A simulation calculation module, used for performing simulation modeling according to the geometric parameters of the slope, the number and positions of the grouting points and the first group of grouting depth values, calculating the safety factor of the first slope after grouting, retaining the first group of grouting depth values when the safety factor of the first slope meets the requirements of the safety factor design value, and calculating the area of the first grouting range; A second group of grouting depth value calculation module is used to randomly generate a second group of grouting depth values according to the first group of grouting depth values, calculate the second slope safety factor, and when the second slope safety factor meets the safety factor design value requirement, retain the second group of grouting depth values and calculate the second grouting range area; The optimal grouting depth value determination module is used to obtain each group of grouting depth values that meet the safety factor design value requirements through iterative calculation, and select the optimal grouting depth value according to the grouting range area.
9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the slope grouting reinforcement optimization method described in any one of claims 1 to 7 are implemented.
10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the slope grouting reinforcement optimization method according to any one of claims 1 to 7 are implemented.