Slope support anchor rod reinforcement combination dynamic modeling system and method

Abstract

The invention provides a dynamic modeling system and method for a slope support anchor rod reinforcement combination. The method comprises the following steps: constructing an anchor rod-slope dynamics coupled dynamic simulation model; performing dynamic inversion on the stress evolution process of the target slope according to the stress conditions of the anchor rods at different monitoring points in the target slope and the surrounding soil deformation information to obtain a stress distribution structure of each area of the target slope; displacement response characteristics of all the anchor rods under different vibration loads are extracted, and deformation vector fields of the anchor rod reinforcing combination in slope support under different vibration loads are determined according to the mapping relation between all the displacement response characteristics and soil deformation under different vibration loads; and determining the simulation granularity of local stress simulation in the dynamic simulation model according to the stress distribution structure and the deformation vector field of each region of the target slope, and further adjusting the discretization level of the dynamic simulation model based on the simulation granularity. By adopting the scheme of the invention, the self-adaptive adjustment of the local discrete level in the anchor rod reinforcement combination simulation model can be realized.

Description

Technical Field

[0001] This application relates to the technical field of dynamic modeling. More specifically, this application relates to a combined dynamic modeling system and method for slope support bolt reinforcement. Background Art

[0002] With the increasing complexity of slope support projects, especially in earthquake-prone areas, traditional design methods can no longer meet the actual needs. Dynamic modeling can simulate vibration loads, deformation processes, and failure modes of the support system, providing a reliable basis for engineering design to ensure the stability and safety of slopes under different working conditions. Moreover, dynamic modeling can also optimize the design of the support structure through real-time simulation data, improving its seismic performance and economy, which is of great significance for enhancing the overall effect of the support system and disaster prevention capabilities.

[0003] In the existing technology for slope support design, there are obvious deficiencies in the analysis of dynamic load responses. Traditional modeling and simulation methods mainly rely on static analysis, ignoring the influence of dynamic loads such as earthquakes on the support system, and unable to accurately reflect the interaction and deformation responses between bolts and soil under vibration loads. This results in the inability to fully evaluate the stability of slopes under extreme loads such as earthquakes in practical applications, especially the prediction of bolt forces and soil deformations under complex working conditions has deviations. In addition, the existing technology lacks refined dynamic modeling means when dealing with variable loads (such as earthquakes), and often cannot perform targeted accuracy adjustments for different regions of the slope, resulting in insufficient overall simulation accuracy. Therefore, how to achieve the adaptive adjustment of the local discrete level in the bolt reinforcement combined simulation model has become a difficult problem faced by the industry. Summary of the Invention

[0004] This application provides a combined dynamic modeling system and method for slope support bolt reinforcement, which can achieve the adaptive adjustment of the local discrete level in the bolt reinforcement combined simulation model.

[0005] In a first aspect, this application provides a combined dynamic modeling method for slope support bolt reinforcement, including the following steps: Establish a dynamic simulation model of bolt-slope dynamics coupling based on the geological parameters of the target slope and the layout topology of bolts in the bolt reinforcement combination; During the operation stage of slope support, determine the correlation coefficients of bolt-slope response characteristics between different monitoring points according to the bolt forces and the surrounding soil deformation information at different monitoring points in the target slope, and then dynamically invert the force evolution process of the target slope through the dynamic simulation model combined with all the correlation coefficients to obtain the force distribution structure of each region of the target slope; In the dynamic simulation model, different magnitudes of vibration loads are applied to the target slope, and then the displacement response characteristics of each anchor rod under different vibration loads are extracted. Based on the mapping relationship between all the displacement response characteristics and the soil deformation under different vibration loads, the deformation vector field of the anchor rod reinforcement combination in slope support under different vibration loads is determined. According to the force distribution structure of each region of the target slope and the deformation vector field, the simulation granularity of local force simulation in the dynamic simulation model is determined, and then the discretization level of the dynamic simulation model is adjusted based on the simulation granularity.

[0006] Preferably, establishing a dynamic simulation model of anchor rod - slope dynamic coupling based on the geological parameters of the target slope and the layout topology of the anchor rods in the anchor rod reinforcement combination specifically includes: Construct a three - dimensional model of the anchor rod - slope according to the three - dimensional data of the target slope and the anchor rod reinforcement combination; Determine the boundary conditions of the anchor rod - slope dynamic coupling simulation according to the geological parameters and the layout topology; Construct a dynamic simulation model of anchor rod - slope dynamic coupling through the finite - element discretization method in combination with the three - dimensional model and the boundary conditions.

[0007] Preferably, the three - dimensional data of the target slope and the anchor rod reinforcement combination are collected by a laser scanning device.

[0008] Preferably, determining the correlation coefficient of the anchor rod - slope response characteristics between different monitoring points according to the force condition of the anchor rods and the surrounding soil deformation information at different monitoring points in the target slope specifically includes: Select a monitoring point as the target monitoring point, and obtain the force data of the anchor rod and the deformation data of the surrounding soil at the target monitoring point; Extract the force response characteristics of the anchor rod from the force data of the anchor rod; Extract the deformation response characteristics of the surrounding soil from the deformation data of the surrounding soil; Determine the anchor rod - slope response characteristics of the target monitoring point according to the force response characteristics and the deformation response characteristics, and continue to determine the anchor rod - slope response characteristics of the remaining monitoring points; Determine the Spearman correlation coefficient of the anchor rod - slope response characteristics between different monitoring points; Determine the correlation coefficient of the anchor rod - slope response characteristics between different monitoring points through all the Spearman correlation coefficients.

[0009] Preferably, dynamically invert the force evolution process of the target slope through the dynamic simulation model combined with all the correlation coefficients to obtain the force distribution structure of each region of the target slope, specifically including: Construct a cross - correlation matrix of the bolt - slope response characteristics between different monitoring points based on all the correlation coefficients; Combine the cross - correlation matrix with the initial stress data of different monitoring points in the target slope, and use the inversion module in the dynamic simulation model to calculate the stress evolution curves of the target slope at different times through the inversion algorithm; Extract the stress distribution structure of each region of the target slope from the stress evolution curves.

[0010] Preferably, different magnitudes of vibration loads are applied to the target slope in the dynamic simulation model, and then the displacement response characteristics of each bolt under different vibration loads are extracted, specifically including: Set multiple groups of vibration loads with different amplitudes, frequencies, and durations in the dynamic simulation model; Record the displacement time history of each bolt in real - time under the action of each group of vibration loads; Extract the displacement response characteristics of each bolt under different vibration loads from each displacement time history.

[0011] Preferably, determining the simulation granularity of local stress simulation in the dynamic simulation model according to the stress distribution structure of each region of the target slope and the deformation vector field specifically includes: Determine the smoothness of the stress change in each region of the target slope according to the stress distribution structure of each region of the target slope and the deformation vector field; Determine the simulation granularity of local stress simulation in the dynamic simulation model through the smoothness of the stress change in each region.

[0012] In a second aspect, the present application provides a combined dynamic modeling system for slope support by bolts, including: A model construction module for establishing a dynamic simulation model of bolt - slope dynamic coupling based on the geological parameters of the target slope and the layout topology of the bolts in the bolt reinforcement combination; A processing module for, during the operation stage of slope support, determining the correlation coefficients of the bolt - slope response characteristics between different monitoring points according to the bolt stress conditions and the surrounding soil deformation information at different monitoring points in the target slope, and then dynamically inverting the stress evolution process of the target slope through the dynamic simulation model combined with all the correlation coefficients to obtain the stress distribution structure of each region of the target slope; The processing module is further used to apply different magnitudes of vibration loads to the target slope in the dynamic simulation model, and then extract the displacement response characteristics of each bolt under different vibration loads, and determine the deformation vector field of the bolt reinforcement combination in slope support under different vibration loads through the mapping relationship between all the displacement response characteristics and the soil deformation under different vibration loads; An execution module, configured to determine the simulation granularity of local force simulation in the dynamic simulation model according to the force distribution structure of each region of the target slope and the deformation vector field, and then adjust the discretization level of the dynamic simulation model based on the simulation granularity.

[0013] In a third aspect, the present application provides a computer device, which includes a memory and a processor. The memory stores code, and the processor is configured to obtain the code and execute the above-mentioned combined dynamic modeling method for slope support and bolt reinforcement.

[0014] In a fourth aspect, the present application provides a computer-readable storage medium, which stores a computer program. When the computer program is executed by a processor, the above-mentioned combined dynamic modeling method for slope support and bolt reinforcement is implemented.

[0015] The technical solutions provided by the disclosed embodiments of the present application have the following beneficial effects: In the embodiments of the present application, a dynamic simulation model of bolt-slope dynamics coupling is established based on the geological parameters of the target slope and the layout topology of the bolts in the bolt reinforcement combination; during the slope support operation stage, the correlation coefficient of the bolt-slope response characteristics between different monitoring points is determined according to the bolt force conditions and the surrounding soil deformation information at different monitoring points in the target slope, and then the dynamic inversion of the force evolution process of the target slope is carried out through the dynamic simulation model combined with all the correlation coefficients to obtain the force distribution structure of each region of the target slope; different magnitudes of vibration loads are applied to the target slope in the dynamic simulation model, and then the displacement response characteristics of each bolt under different vibration loads are extracted. The deformation vector field of the bolt reinforcement combination in slope support under different vibration loads is determined through the mapping relationship between all the displacement response characteristics and the soil deformation under different vibration loads; the simulation granularity of local force simulation in the dynamic simulation model is determined according to the force distribution structure of each region of the target slope and the deformation vector field, and then the discretization level of the dynamic simulation model is adjusted based on the simulation granularity.

[0016] It can be seen that the present application determines the simulation granularity of the local force simulation in the dynamic simulation model through the force distribution structure of each area of the target slope and the deformation vector field of the bolt reinforcement combination in slope support under different vibration loads, and then adjusts the discretization level of the dynamic simulation model based on the simulation granularity; First, through the dynamic simulation model, combined with the correlation coefficient of the bolt-slope response characteristics between different monitoring points, the dynamic inversion of the force evolution process of the target slope is carried out to obtain the force distribution structure of each area of the target slope. Based on the correlation coefficient of the monitoring point data analysis, the dynamic inversion of the response characteristics between each monitoring point is realized during the operation stage of slope support, so as to accurately reflect the force evolution process of the slope under complex working conditions, avoid the deficiencies of relying on simplified assumptions and empirical data commonly found in traditional methods, and thus be able to accurately depict the force distribution in different areas, providing a more reliable basis for the support design; Then, by loading different vibration loads in the dynamic simulation model and extracting the displacement response characteristics of the bolts and the soil deformation mapping relationship, the deformation vector field of the bolt reinforcement combination under different vibration loads can be effectively constructed, so as to deeply understand the deformation characteristics of the slope under different load conditions. This dynamic modeling method based on the deformation vector field not only enhances the prediction ability of the slope support system under extreme loads, but also provides a comprehensive perspective on the dynamic interaction between the bolts and the soil, thereby significantly improving the accuracy and safety of the support design; Finally, based on the force distribution structure and deformation vector field of each area of the target slope, the simulation granularity of the local force simulation in the dynamic simulation model is determined, and then the discretization level of the dynamic simulation model is adjusted based on the simulation granularity. By means of adaptive adjustment of the simulation granularity, it is possible to dynamically optimize the simulation accuracy for different areas of the slope support model according to the force distribution structure and deformation characteristics, solve the problem that it is difficult for traditional static analysis methods to carry out refined modeling of local areas, so that the adjustment of the simulation granularity is highly consistent with the actual working condition requirements, and further improve the overall simulation accuracy of the simulation model; In summary, the solution of the present application can realize the adaptive adjustment of the local discretization level in the bolt reinforcement combination simulation model, so as to improve the overall simulation accuracy of the simulation model. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 is an exemplary flowchart of a dynamic modeling method for a slope support bolt reinforcement combination according to some embodiments of the present application; Figure 2 is a schematic structural diagram of the arrangement of monitoring points according to some embodiments of the present application; Figure 3 is a schematic flowchart of determining the deformation vector field according to some embodiments of the present application; Figure 4 is a schematic structural diagram of a dynamic modeling system for a slope support bolt reinforcement combination according to some embodiments of the present application; Figure 5 It is a schematic structural diagram of a computer device for implementing a combined dynamic modeling method for slope support anchor reinforcement according to some embodiments of the present application. Detailed implementation manners

[0018] To better understand the technical solutions of the present application, the technical solutions of the present application will be described in detail below in conjunction with the specification drawings and specific implementation manners.

[0019] Refer to Figure 1 , which is an exemplary flowchart of a combined dynamic modeling method for slope support anchor reinforcement according to some embodiments of the present application. The combined dynamic modeling method 100 for slope support anchor reinforcement mainly includes the following steps: In step 101, a dynamic simulation model of anchor-slope dynamics coupling is established based on the geological parameters of the target slope and the layout topology of the anchors in the anchor reinforcement combination.

[0020] It should be noted that slope support refers to an engineering technical means of applying constraints and reinforcement to the slope soil by setting engineering measures (such as anchors, shotcrete, and retaining walls) on the slope body to improve the overall stability of the slope, prevent instability phenomena such as sliding and collapse, and thus ensure the long-term safe operation of the slope under natural or external forces.

[0021] It should also be noted that the geological parameters in the present application refer to various data characterizing the physical and mechanical properties and hydrogeological conditions of the slope soil, which are used to describe the strength, deformation, and seepage behaviors of geological materials. The geological parameters specifically include: the soil density and soil porosity ratio of the target slope and the permeability coefficient of water in the soil; the layout topology in the present application refers to a graph structure used to reflect the distribution manner of the anchors in the slope space and their mutual connection relationships.

[0022] In some embodiments, establishing a dynamic simulation model of anchor-slope dynamics coupling based on the geological parameters of the target slope and the layout topology of the anchors in the anchor reinforcement combination can be implemented by the following steps: Construct a three-dimensional model of the anchor-slope according to the three-dimensional data of the target slope and the anchor reinforcement combination; Determine the boundary conditions for the anchor-slope dynamics coupling simulation based on the geological parameters and the layout topology; Construct a dynamic simulation model of anchor-slope dynamics coupling by combining the three-dimensional model and the boundary conditions through the finite element discretization method.

[0023] It should be noted that the three-dimensional model in this application refers to the three-dimensional geometric model of the anchor bolt - slope; the dynamic coupling simulation of the anchor bolt - slope in this application refers to the numerical simulation process of synchronously simulating the mutual force and deformation influence between the anchor bolt and the slope soil under dynamic loads; the dynamic simulation model of the dynamic coupling of the anchor bolt - slope in this application refers to the numerical model used to simulate the interaction relationship between the force and deformation of the anchor bolt - slope under dynamic loads.

[0024] In specific implementation, the three-dimensional model of the anchor bolt - slope can be constructed according to the three-dimensional data of the target slope and the anchor bolt reinforcement combination in the following way, that is: the three-dimensional data (i.e., spatial three-dimensional point cloud data) of the target slope and the anchor bolt reinforcement combination can be collected through laser scanning or unmanned aerial vehicle aerial survey technology, and the three-dimensional point cloud data in space can be converted into a structured three-dimensional geometric model based on a BIM modeling tool (such as Revit or Rhino), and this three-dimensional geometric model is used as the three-dimensional model of the anchor bolt - slope; the boundary conditions for the dynamic coupling simulation of the anchor bolt - slope can be determined according to the geological parameters and the layout topology in the following way, that is: the boundary conditions for the dynamic coupling simulation of the anchor bolt - slope can be set by using finite element software (such as ABAQUS) based on the obtained geological parameters (including the soil density and soil porosity of the target slope and the permeability coefficient of water in the soil) and the corresponding topological information of the number, length, and angle of the anchor bolts, combined with the actual terrain boundary and support conditions of the slope. Through the boundary conditions, the constraints, loads, and contact relationships can be clarified, so as to ensure that the simulation model can truly reflect the actual stress environment; the dynamic simulation model of the dynamic coupling of the anchor bolt - slope can be constructed by combining the three-dimensional model and the boundary conditions through the finite element discretization method in the following way, that is: based on the finite element discretization method, the three-dimensional model is divided into high-quality grid elements, and an anchor bolt - soil coupling unit is added (the coupling unit refers to a numerical simulation unit that realizes the mechanical coupling relationship between the anchor bolt and the soil by setting the contact interface properties (such as friction coefficient, bonding strength) between the anchor bolt and the soil). By setting the contact properties of the anchor bolt - soil interface and applying the Newmark-beta integration method for time integration, the coupling simulation model constructed in the above way is used as the simulation model of the dynamic coupling of the anchor bolt - slope. Through the simulation model of the dynamic coupling of the anchor bolt - slope, the force transfer and mutual influence process between the anchor bolt and the slope can be simulated in real time, and the dynamic response characteristics of the slope system under different working conditions can be reflected.

[0025] It should also be noted that in the process of setting the boundary conditions in this application, the shear modulus, Poisson's ratio, and damping ratio of the soil and the anchor bolt are also set, which can be obtained by referring to relevant technical materials and will not be elaborated here.

[0026] In step 102, during the operation stage of slope support, the correlation coefficient of the bolt-slope response characteristics between different monitoring points is determined according to the bolt force conditions and the surrounding soil deformation information at different monitoring points in the target slope. Then, through the dynamic simulation model and combining all the correlation coefficients, the dynamic inversion of the force evolution process of the target slope is carried out to obtain the force distribution structure of each region of the target slope.

[0027] In some embodiments, referring to Figure 2 As shown, this figure is a schematic structural diagram of the monitoring point layout in some embodiments of the present application. In this embodiment, the layout of the monitoring points is based on the layout topology of the bolt reinforcement combination. The monitoring points are distributed at the bolt head and the surrounding soil deformation area, and the sensors at the monitoring points are used to achieve comprehensive real-time monitoring of the bolt force, soil deformation, and overall slope stability.

[0028] In some embodiments, the determination of the correlation coefficient of the bolt-slope response characteristics between different monitoring points according to the bolt force conditions and the surrounding soil deformation information at different monitoring points in the target slope can be implemented by the following steps: Select a monitoring point as the target monitoring point, and obtain the bolt force data and the surrounding soil deformation data at the target monitoring point; Extract the bolt force response characteristics from the bolt force data; Extract the surrounding soil deformation response characteristics from the surrounding soil deformation data; Determine the bolt-slope response characteristics of the target monitoring point according to the force response characteristics and the deformation response characteristics, and continue to determine the bolt-slope response characteristics of the remaining monitoring points; Determine the Spearman correlation coefficient of the bolt-slope response characteristics between different monitoring points; Determine the correlation coefficient of the bolt-slope response characteristics between different monitoring points through all the Spearman correlation coefficients.

[0029] It should be noted that the force data in the present application refers to the mechanical data of the tensile force, pressure, and shear force borne by the bolt at different monitoring points collected by the sensor; the deformation data in the present application refers to the displacement information data of the soil structure at different monitoring points collected by the sensor; the force response characteristics in the present application are the mechanical characteristics that quantify the bolt force response state; the deformation response characteristics in the present application are the deformation characteristics that measure the response state of the surrounding soil; the bolt-slope response characteristics in the present application refer to the behavioral characteristics of the comprehensive response of the bolt and the surrounding soil under dynamic loads; the correlation coefficient of the bolt-slope response characteristics in the present application is a quantitative index that measures the degree of mutual influence between the bolt and the slope soil during the force and deformation processes at different monitoring points.

[0030] In specific implementation, the following methods can be used to obtain the stress data of the anchor rod at the target monitoring point and the deformation data of the surrounding soil mass, that is: a stress gauge and a displacement gauge can be used to obtain the stress data of the anchor rod at the selected target monitoring point and the deformation data of the surrounding soil mass in real time; the following methods can be used to extract the stress response characteristics of the anchor rod from the stress data of the anchor rod, that is: the stress data of the anchor rod can be subjected to feature extraction based on the time series analysis method, and the extracted peak value, frequency and cumulative stress are used as the stress response characteristics of the anchor rod; the following methods can be used to extract the deformation response characteristics of the surrounding soil mass from the deformation data of the surrounding soil mass, that is: the displacement amplitude and deformation rate extracted from the deformation data can be used as the deformation response characteristics of the surrounding soil mass; the following methods can be used to determine the anchor rod - slope response characteristics of the target monitoring point according to the stress response characteristics and the deformation response characteristics, that is: the stress response characteristics and the deformation response characteristics can be combined into a vector as the anchor rod - slope response characteristics of the target monitoring point; the following methods can be used to determine the Spearman correlation coefficient between the anchor rod - slope response characteristics at different monitoring points, that is: for any two monitoring points, the Spearman correlation coefficient between the anchor rod - slope response characteristics between the two monitoring points can be used as the Spearman correlation coefficient between the anchor rod - slope response characteristics at the two monitoring points; the following methods can be used to determine the correlation coefficient of the anchor rod - slope response characteristics between different monitoring points through all the Spearman correlation coefficients, that is: the Spearman correlation coefficient between each two monitoring points can be used as the correlation coefficient of the anchor rod - slope response characteristics between each two monitoring points.

[0031] In some embodiments, the following steps can be used to dynamically invert the stress evolution process of the target slope through the dynamic simulation model combined with all the correlation coefficients to obtain the stress distribution structure of each region of the target slope: Construct a cross - correlation matrix of the anchor rod - slope response characteristics between different monitoring points according to all the correlation coefficients; Combine the cross - correlation matrix and the initial stress data of different monitoring points in the target slope, and use the inversion module in the dynamic simulation model to calculate the stress evolution curve of the target slope at different times through the inversion algorithm; Extract the stress distribution structure of each region of the target slope from the stress evolution curve.

[0032] It should be noted that the cross-correlation matrix in this application is a matrix that quantifies the cross-correlation degree between the anchor rods and the slope soil mass at different monitoring points during the stress and deformation process; the initial stress data in this application refers to the mechanical data of the static tensile force, static pressure, and static shear force borne by the anchor rods at the monitoring points without the action of external dynamic loads; the stress evolution curve in this application refers to the curve of the stress state of each area of the slope changing with time; the stress distribution structure in this application is an index that quantifies the stress state and stress distribution of each area in the slope support simulation model.

[0033] When specifically implemented, the cross-correlation matrix of the anchor rod-slope response characteristics between different monitoring points can be constructed according to all the correlation coefficients in the following way, that is: the correlation coefficients between all monitoring points can be organized into a matrix, and this matrix is used as the cross-correlation matrix of the anchor rod-slope response characteristics between different monitoring points. Among them, each element in the cross-correlation matrix represents the correlation degree of the anchor rod-slope response characteristics between two monitoring points, and each row or each column in the cross-correlation matrix represents the mutual relationship between one monitoring point and other monitoring points; combining the cross-correlation matrix with the initial stress data of different monitoring points in the target slope, and using the inversion module in the dynamic simulation model, the stress evolution curve of the target slope at different times can be calculated through the inversion algorithm in the following way, that is: the constructed cross-correlation matrix can be combined with the initial stress data of each monitoring point in the target slope (the initial stress data can be obtained through stress sensors), and the stress state of the target slope at different time steps is inverted through the inversion algorithm (such as the least squares method or the genetic algorithm) in the inversion module, and the inverted curve is used as the stress evolution curve of the target slope at different times. It should be noted that the inversion module in this application refers to the module in the dynamic simulation model that uses the inversion algorithm to reverse the stress evolution process of the target slope at different times by inputting the initial conditions and initial monitoring data. It should also be noted that the least squares method in this application optimizes the parameters of the inversion model by minimizing the sum of the squares of the errors between the predicted values and the actual observed values, while the genetic algorithm iteratively optimizes the parameters of the inversion model by simulating the natural selection process; the stress distribution structure of each area of the target slope can be extracted from the stress evolution curve in the following way, that is: the stress distribution diagrams of each area of the target slope can be extracted from the stress evolution curve through statistical analysis methods, and each stress distribution diagram is used as the stress distribution structure of each area. The stress distribution structure shows the stress concentration degree of different areas.

[0034] It should be noted that the stress distribution diagram in this application is extracted from the stress evolution curve through statistical analysis methods, which is a graphical representation showing the stress states of various regions of the target slope. Through the stress distribution structure, the stress changes and distribution characteristics of each region of the slope can be reflected, specifically including the stress concentration regions, uniformly distributed regions, and potential weak zones. The stress distribution diagrams of each region of the target slope can be extracted from the stress evolution curve through statistical analysis methods, which can be specifically implemented in the following ways: Statistical methods (such as regression analysis and cluster analysis) can be used to analyze and fit the stress evolution curve to generate the stress distribution of each region of the slope. By extracting the stress distribution diagram, the stress spatial distribution characteristics of the slope at different times can be obtained, thereby providing a scientific basis for slope reinforcement design and stability assessment. In addition, the application of the stress distribution diagram can help identify the regions with uneven stress on the slope and predict possible landslide or deformation risks, thus providing decision-making support for the project.

[0035] In step 103, different magnitudes of vibration loads are applied to the target slope in the dynamic simulation model, and then the displacement response characteristics of each anchor rod under different vibration loads are extracted. The deformation vector field of the anchor rod reinforcement combination in slope support under different vibration loads is determined through the mapping relationship between all the displacement response characteristics and the soil deformation under different vibration loads.

[0036] In some embodiments, the extraction of the displacement response characteristics of each anchor rod under different vibration loads by applying different magnitudes of vibration loads to the target slope in the dynamic simulation model can be implemented by the following steps: Set multiple groups of vibration loads with different amplitudes, frequencies, and durations in the dynamic simulation model; Record the displacement time history of each anchor rod under each group of vibration loads in real time; Extract the displacement response characteristics of each anchor rod under different vibration loads from each displacement time history.

[0037] It should be noted that the displacement response characteristics in this application are indicators for measuring the displacement response intensity of the anchor rod under different vibration loads.

[0038] In specific implementation, when setting multiple groups of vibration loads with different amplitudes, frequencies, and durations in the dynamic simulation model, the following method can be adopted, that is: by setting multiple groups of vibration loads with different amplitudes, frequencies, and durations in the dynamic simulation model, and then using existing finite element analysis software (such as ABAQUS) to simulate the dynamic response of the slope under different vibration loads. Among them, each group of vibration loads can represent different actual working conditions, such as earthquakes and mechanical vibrations. The amplitude, frequency, and duration of the vibration can be adjusted according to the actual situation to simulate the slope behavior under various environments; the displacement time history of each anchor rod under each group of vibration loads can be recorded in real time by the following method, that is: during the simulation process, the displacement-time curve of each anchor rod is recorded in real time, and the displacement-time curve is used as the displacement time history of the corresponding anchor rod under each group of vibration loads; the displacement response characteristics of each anchor rod under different vibration loads can be extracted from each displacement time history by the following method, that is: the amplitude, frequency characteristics, and response time history of the anchor rod displacement can be extracted from each displacement time history through data analysis methods (such as wavelet transform), and the extracted characteristics (i.e., the amplitude, frequency characteristics, and response time history of the displacement) are used as the displacement response characteristics of the corresponding anchor rod.

[0039] In some embodiments, referring to Figure 3 as shown, this figure is a schematic flowchart of determining the deformation vector field in some embodiments of the present application. In this embodiment, the deformation vector field of the anchor rod reinforcement combination in slope support under different vibration loads can be determined by the following steps through the mapping relationship between all displacement response characteristics and the soil deformation under different vibration loads: In step 1031, the deformation data of the soil body in each area under different vibration loads is recorded in the dynamic simulation model, and then the deformation characteristics of the soil body in each area under different vibration loads are extracted; In step 1032, the mapping relationship of the soil body deformation under different vibration loads is determined through the deformation characteristics of the soil body in each area under different vibration loads; In step 1033, according to the mapping relationship, the displacement response characteristics of each anchor rod are associated with the deformation characteristics of the soil body area where it is located, and then the deformation vector of each anchor rod under different vibration loads is determined; In step 1034, the deformation vector field of the anchor rod reinforcement combination in slope support under different vibration loads is determined through all the deformation vectors.

[0040] It should be noted that the deformation characteristics in the present application refer to the deformation state parameter characteristics shown by the soil body under external loads; the deformation vector in the present application is a vector index that quantifies the strength of the deformation of the anchor rod structure under different vibration loads; the deformation vector field in the present application is an index that measures the deformation distribution law of the anchor rod reinforcement combination structure under external loads.

[0041] In specific implementation, deformation data of soil in each area under different vibration loads is recorded in the dynamic simulation model. Then, the deformation characteristics of soil in each area under different vibration loads can be extracted by the following method: different vibration loads with different amplitudes, frequencies and durations can be applied in the dynamic simulation model, and the node displacement data of soil in each area during the simulation process is recorded. The node displacement data refers to the displacement data of the soil around the anchor rod, and the recorded node displacement data is used as the deformation data of the corresponding area of soil. Then, the time history analysis method (such as Newmark-β in the direct integration method) is used to extract the main deformation direction, amplitude and change trend of each area under different vibration loads, and the extracted main deformation direction, displacement amplitude and change trend are used as the deformation characteristics of the soil in the area under different vibration loads. The mapping relationship of soil deformation under different vibration loads can be determined by the deformation characteristics of soil in each area under different vibration loads by the following method: the characteristic parameters of different vibration loads (such as amplitude, frequency, duration) can be used as independent variables, and the main deformation direction, displacement amplitude and change trend (i.e., deformation characteristics) of soil in each area under the corresponding load are extracted as dependent variables, and a training data set is established. Then, the least squares method is used to fit the relationship between the independent variable and the dependent variable to obtain a multiple linear regression model, and the relationship matrix of soil deformation under different vibration loads is output through the linear regression model. The elements in the relationship matrix represent the mapping relationship values of soil deformation under the specified vibration load, and the relationship matrix is used as the mapping relationship of soil deformation under different vibration loads. According to the mapping relationship, the displacement response characteristics of each anchor rod are associated with the deformation characteristics of the soil area where it is located, and then the deformation vector of each anchor rod under different vibration loads can be determined by the following method: first, according to the spatial position relationship between the anchor rod and the soil area in the dynamic simulation model, each anchor rod is corresponded to the soil area unit where it is located. Then, the displacement response characteristics of the anchor rod under different vibration loads are extracted, and the deformation characteristics of the soil area corresponding to the anchor rod are input into the above-mentioned multiple linear regression model to obtain the expected deformation characteristics of the anchor rod under the corresponding vibration load condition. Finally, using the well-known vector superposition principle, the displacement response of the anchor rod itself is superimposed with the regional deformation characteristic vector, and the superimposed vector information is used as the deformation vector of each anchor rod under different vibration loads. The deformation vector field of the anchor reinforcement combination in slope support under different vibration loads can be determined by all the deformation vectors by the following method: the deformation vectors of all the anchor rods can be formed into a matrix according to the position information of the anchor rods as the deformation vector field of the anchor reinforcement combination in slope support under different vibration loads.

[0042] It should be noted that the vector superposition principle in this application refers to that in the same coordinate system, for multiple vectors acting on the same point or the same system, the total effect is equal to the successive addition of each vector, and the result is the algebraic sum of each component in its respective direction. Specifically, for multiple force, displacement, or velocity vectors in two-dimensional or three-dimensional space, they are respectively decomposed along the X, Y, and Z axis directions, and after adding the corresponding components in each direction and then synthesizing them, the obtained total vector reflects the overall effect. This principle is widely applied in structural force analysis and displacement response superposition, and is used to describe the comprehensive influence of multiple loads or multi-region deformations on the system.

[0043] In step 104, according to the force distribution structure of each region of the target slope and the deformation vector field, determine the simulation granularity of the local force simulation in the dynamic simulation model, and then adjust the discretization level of the dynamic simulation model based on the simulation granularity.

[0044] In some embodiments, determining the simulation granularity of the local force simulation in the dynamic simulation model according to the force distribution structure of each region of the target slope and the deformation vector field can be achieved by the following steps: Determine the smoothness of the force change in each region of the target slope according to the force distribution structure of each region of the target slope and the deformation vector field; Determine the simulation granularity of the local force simulation in the dynamic simulation model through the smoothness of the force change in each region.

[0045] It should be noted that the smoothness of the force change in this application is an index to measure the smoothness of the force distribution in each region of the slope; the simulation granularity in this application refers to the degree of refinement of the local model space division in numerical simulation.

[0046] In specific implementation, the smoothness of force change in each area of the target slope can be determined according to the force distribution structure of each area of the target slope and the deformation vector field. This can be achieved in the following way, that is, all force distribution structures and deformation vector fields can be aligned according to each area of the target slope. For each area, the sum of the variance of the force distribution structure corresponding to the area and the variance of the deformation vector field corresponding to the area is used as the smoothness of force change in the area, wherein the variance of the force distribution structure and the variance of the deformation vector field are normalized variances. It should be noted that the variance in the present application is used to measure the degree of fluctuation of the force distribution structure and the deformation vector field in each area of the slope. In specific implementation, for each area, the force distribution structure of the area is first calculated. The mean of the cloth structure and deformation vector field, then the square of the difference between each data point and the mean is calculated, and the average of all the difference squares is used to obtain the variance. The larger the variance, the more drastic the force change or deformation fluctuation in the area, and vice versa, it indicates that the change is relatively stable. By calculating the variance of each area, the stability of force and deformation can be quantified, providing a quantitative basis for determining the granularity of local force simulation, thereby optimizing the simulation accuracy and calculation efficiency; determining the simulation granularity of local force simulation in the dynamic simulation model by the stability of force change in each area can be achieved in the following way, namely: the stability of force change in each area can be normalized first, and then the stability obtained after normalization is used as the simulation granularity of local force simulation in the corresponding area.

[0047] It should be noted that adjusting the discretization level of the dynamic simulation model based on the simulation granularity in the present application refers to setting the corresponding spatial grid division density and time step accuracy level according to the degree of detail of the simulation granularity of each region, so as to ensure accurate simulation of the displacement response in regions with different granularities. In specific implementation, for fine-grained regions, the discretization level needs to be higher to accurately reflect the deformation response of the soil, such as using a denser grid division in space or setting a smaller time step in time, while for coarse-grained regions, a lower discretization level can be used to reduce the amount of calculation; it should be noted that the present application scheme dynamically adjusts the discretization level at different simulation granularities through an adaptive discretization level adjustment strategy, which means that the accuracy of the discretization level is synchronized with the change of the simulation granularity to ensure that the simulation results in each region maintain a balance between accuracy and computational efficiency.

[0048] On the other hand, in some embodiments, the present application provides a slope support anchor reinforcement combined dynamic modeling system, referring to Figure 4 , which is a structural schematic diagram of a slope support anchor reinforcement combined dynamic modeling system according to some embodiments of the present application, the slope support anchor reinforcement combined dynamic modeling system 400 includes: a model building module 401, a processing module 402 and an execution module 403, which are respectively described as follows: The model construction module 401. In this application, the model construction module 401 is mainly used to establish a dynamic simulation model of the anchor bolt-slope dynamics coupling based on the geological parameters of the target slope and the layout topology of the anchor bolts in the anchor bolt reinforcement combination. The processing module 402. In this application, the processing module 402 is used to determine the correlation coefficient of the anchor bolt-slope response characteristics between different monitoring points according to the force conditions of the anchor bolts and the deformation information of the surrounding soil at different monitoring points in the target slope during the slope support operation stage. Then, through the dynamic simulation model and combining all the correlation coefficients, the dynamic inversion of the force evolution process of the target slope is carried out to obtain the force distribution structure of each area of the target slope. In this application, the processing module 402 is also used to load different magnitudes of vibration loads on the target slope in the dynamic simulation model, and then extract the displacement response characteristics of each anchor bolt under different vibration loads. Through the mapping relationship between all the displacement response characteristics and the soil deformation under different vibration loads, the deformation vector field of the anchor bolt reinforcement combination in slope support under different vibration loads is determined. The execution module 403. In this application, the execution module 403 is mainly used to determine the simulation granularity of the local force simulation in the dynamic simulation model according to the force distribution structure of each area of the target slope and the deformation vector field, and then adjust the discretization level of the dynamic simulation model based on the simulation granularity.

[0049] In addition, this application also provides a computer device, which includes a memory and a processor. The memory stores code, and the processor is configured to obtain the code and execute the above-mentioned dynamic modeling method for the anchor bolt reinforcement combination in slope support.

[0050] In some embodiments, refer to Figure 5 , this figure is a schematic structural diagram of a computer device for implementing the dynamic modeling method of the anchor bolt reinforcement combination in slope support according to some embodiments of this application. The above-mentioned dynamic modeling method of the anchor bolt reinforcement combination in slope support can be implemented by Figure 5 the computer device shown. This computer device 500 includes at least one processor 501, a communication bus 502, a memory 503, and at least one communication interface 504.

[0051] The processor 501 can be a general-purpose central processing unit (CPU) or an application-specific integrated circuit (ASIC).

[0052] The communication bus 502 can be used to transmit information between the above components.

[0053] The memory 503 can be a read-only memory (ROM) or other types of static storage devices that can store static information and instructions, a random access memory (RAM), or other types of dynamic storage devices that can store information and instructions. It can also be an electrically erasable programmable read-only memory (EEPROM), a compact disc read-only memory (CD-ROM), or other optical disc storage, optical disc storage (including compact discs, laser discs, optical discs, digital versatile discs, Blu-ray discs, etc.), a magnetic disk, or other magnetic storage devices, or any other medium that can be used to carry or store the desired program code in the form of instructions or data structures and can be accessed by a computer, but is not limited thereto. The memory 503 can exist independently and be connected to the processor 501 through the communication bus 502. The memory 503 can also be integrated with the processor 501.

[0054] Among them, the memory 503 is used to store the program code for executing the solution of this application and is controlled by the processor 501 for execution. The processor 501 is used to execute the program code stored in the memory 503. The program code can include one or more software modules. The above-described slope support bolt reinforcement combined dynamic modeling method in the embodiment can be implemented through one or more software modules in the program code in the processor 501 and the memory 503.

[0055] The communication interface 504 uses any device such as a transceiver to communicate with other devices or communication networks, such as Ethernet, radio access network (RAN), wireless local area networks (WLAN), etc.

[0056] In a specific implementation, as an embodiment, the computer device can include multiple processors, and each of these processors can be a single-core (single-CPU) processor or a multi-core (multi-CPU) processor. Here, the processor can refer to one or more devices, circuits, and / or processing cores for processing data (such as computer program instructions).

[0057] The computer device described above may be a general-purpose computer device or a special-purpose computer device. In specific implementations, the computer device may be a desktop computer, a laptop computer, a network server, a personal digital assistant (PDA), a mobile phone, a tablet computer, a wireless terminal device, a communication device, or an embedded device. The embodiments of the present application do not limit the type of the computer device.

[0058] In addition, the present application also provides a computer-readable storage medium storing a computer program, and when the computer program is executed by a processor, the above-mentioned combined dynamic modeling method for slope support and anchor reinforcement is implemented.

[0059] Although the preferred embodiments of the present application have been described, those skilled in the art can make additional changes and modifications once they learn the basic creative concepts. Therefore, the appended claims are intended to be construed to include the preferred embodiments as well as all changes and modifications falling within the scope of the present application.

[0060] Obviously, those skilled in the art can make various changes and modifications to the present application without departing from the spirit and scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the claims of the present application and their equivalent technologies, the present application is also intended to include these modifications and variations.

Claims

1. A combined dynamic modeling method for slope support bolt reinforcement, characterized in that, It includes the following steps: Based on the geological parameters of the target slope and the layout topology of the anchor rods in the anchor rod reinforcement combination, establish a dynamic simulation model of the anchor rod-slope dynamic coupling; During the slope support operation stage, according to the stress conditions of the anchor rods at different monitoring points in the target slope and the deformation information of the surrounding soil, determine the correlation coefficients of the anchor rod-slope response characteristics between different monitoring points. Then, through the dynamic simulation model and combining all the correlation coefficients, dynamically invert the stress evolution process of the target slope to obtain the stress distribution structure of each area of the target slope; In the dynamic simulation model, apply different magnitudes of vibration loads to the target slope, and then extract the displacement response characteristics of each anchor rod under different vibration loads. Determine the deformation vector field of the anchor rod reinforcement combination in slope support under different vibration loads through the mapping relationship between all the displacement response characteristics and the soil deformation under different vibration loads; Based on the stress distribution structure of each area of the target slope and the deformation vector field, determine the simulation granularity of the local stress simulation in the dynamic simulation model, and then adjust the discretization level of the dynamic simulation model based on the simulation granularity; 2. The method according to claim 1, wherein Establishing a dynamic simulation model of the anchor rod-slope dynamic coupling based on the geological parameters of the target slope and the layout topology of the anchor rods in the anchor rod reinforcement combination specifically includes: Construct a three-dimensional model of the anchor rod-slope according to the three-dimensional data of the target slope and the anchor rod reinforcement combination; Determine the boundary conditions of the anchor rod-slope dynamic coupling simulation according to the geological parameters and the layout topology; Construct a dynamic simulation model of the anchor rod-slope dynamic coupling through the finite element discretization method in combination with the three-dimensional model and the boundary conditions; 3. The method according to claim 2, wherein Collect the three-dimensional data of the target slope and the anchor rod reinforcement combination through a laser scanning device; 4. The method according to claim 1, wherein Determining the correlation coefficients of the anchor rod-slope response characteristics between different monitoring points according to the stress conditions of the anchor rods at different monitoring points in the target slope and the deformation information of the surrounding soil specifically includes: Select a monitoring point as the target monitoring point, and obtain the stress data of the anchor rod at the target monitoring point and the deformation data of the surrounding soil; Extract the stress response characteristics of the anchor rod from the stress data of the anchor rod; Extract the deformation response characteristics of the surrounding soil from the deformation data of the surrounding soil; Determine the anchor rod-slope response characteristics of the target monitoring point according to the stress response characteristics and the deformation response characteristics, and continue to determine the anchor rod-slope response characteristics of the remaining monitoring points; Determine the Spearman correlation coefficient of the anchor rod-slope response characteristics between different monitoring points; Determine the correlation coefficients of the anchor rod-slope response characteristics between different monitoring points through all the Spearman correlation coefficients; 5. The method according to claim 1, characterized in that, Dynamically inverting the stress evolution process of the target slope through the dynamic simulation model in combination with all the correlation coefficients to obtain the stress distribution structure of each area of the target slope specifically includes: Construct a cross-correlation matrix of the anchor rod-slope response characteristics between different monitoring points according to all the correlation coefficients; Combine the cross-correlation matrix with the initial stress data of different monitoring points in the target slope, and use the inversion module in the dynamic simulation model to calculate the stress evolution curve of the target slope at different times through the inversion algorithm; Extract the stress distribution structure of each area of the target slope from the stress evolution curve.

6. The method according to claim 1, wherein In the dynamic simulation model, apply vibration loads of different magnitudes to the target slope, and then extract the displacement response characteristics of each anchor rod under different vibration loads. Specifically, it includes: Set multiple groups of vibration loads with different amplitudes, frequencies, and durations in the dynamic simulation model; Record the displacement time history of each anchor rod in real time under each group of vibration loads; Extract the displacement response characteristics of each anchor rod under different vibration loads from each displacement time history.

7. The method according to claim 1, wherein Determine the simulation granularity of local stress simulation in the dynamic simulation model based on the stress distribution structure of each area of the target slope and the deformation vector field. Specifically, it includes: Determine the smoothness of the stress change in each area of the target slope according to the stress distribution structure of each area of the target slope and the deformation vector field; Determine the simulation granularity of local stress simulation in the dynamic simulation model through the smoothness of the stress change in each area.

8. A combined dynamic modeling system for slope support bolt reinforcement, characterized in that, It includes: A model construction module for establishing a dynamic simulation model of the anchor rod - slope dynamics coupling based on the geological parameters of the target slope and the layout topology of the anchor rods in the anchor rod reinforcement combination; A processing module for, during the slope support operation stage, determining the correlation coefficient of the anchor rod - slope response characteristics between different monitoring points according to the stress conditions of the anchor rods and the deformation information of the surrounding soil at different monitoring points in the target slope, and then dynamically inverting the stress evolution process of the target slope through the dynamic simulation model combined with all the correlation coefficients to obtain the stress distribution structure of each area of the target slope; The processing module is also used to apply vibration loads of different magnitudes to the target slope in the dynamic simulation model, and then extract the displacement response characteristics of each anchor rod under different vibration loads, and determine the deformation vector field of the anchor rod reinforcement combination in slope support under different vibration loads through the mapping relationship between all the displacement response characteristics and the soil deformation under different vibration loads; An execution module for determining the simulation granularity of local stress simulation in the dynamic simulation model based on the stress distribution structure of each area of the target slope and the deformation vector field, and then adjusting the discretization level of the dynamic simulation model based on the simulation granularity.

9. A computer device, the computer device comprising a memory and a processor, the memory storing code, characterized in that, The processor is configured to obtain the code and execute the dynamic modeling method of the slope support anchor rod reinforcement combination according to any one of claims 1 to 7.

10. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by the processor, it implements the dynamic modeling method of the slope support anchor rod reinforcement combination according to any one of claims 1 to 7.

Images