Method and system for simulation based on identification of rock mass structural plane and prediction of mechanics parameter

Abstract

Disclosed in the present invention are a method and system for simulation based on identification of a rock mass structural plane and prediction of a mechanics parameter. The method comprises: obtaining rock mass multi-scale structural plane data and a rock mass physical mechanics parameter at a tunnel construction site; according to the rock mass multi-scale structural plane data, constructing a tunnel construction numerical calculation model; inputting the rock mass physical mechanics parameter into the tunnel construction numerical calculation model, and performing tunnel excavation numerical simulation; during simulation, obtaining a real-time tunneling parameter of construction machinery; according to the real-time tunneling parameter of the construction machinery and a correlation model between tunneling parameters and rock mass physical mechanics parameters, obtaining a predicted physical mechanics parameter of a rock mass in front of a tunneling point; and updating the tunnel construction numerical calculation model by means of the predicted physical mechanics parameter of the rock mass in front of the tunneling point. The accurate simulation of excavation of a tunnel is implemented.

Description

Simulation method and system based on rock mass structural plane identification and mechanical parameter prediction

[0001] CROSS-REFERENCE TO RELATED APPLICATIONS

[0002] This invention claims priority to Chinese patent application No. 202310825839.8 filed with the State Intellectual Property Office of China on July 6, 2023, entitled “Simulation method and system based on rock structural surface identification and mechanical parameter prediction”, the entire contents of which are incorporated by reference into this invention and constitute a part of this invention for all purposes. Technical Field

[0003] The present invention relates to the technical field of geotechnical engineering modeling and numerical simulation, and in particular to a simulation method and system based on rock mass structural surface identification and mechanical parameter prediction. Background Art

[0004] The statements in this section merely provide background information related to the present invention and do not necessarily constitute prior art.

[0005] Tunnels and underground projects are characterized by numerous faults, weak interlayers, fissures, joints, and other structural surfaces, resulting in highly complex structures. Geological bodies in nature have evolved over a long history, exhibiting strong regularities in time and space. However, due to the presence of unique geological phenomena such as faults, folds, and pinchouts, geological characteristics also exhibit significant complexity, diversity, and uncertainty. Therefore, geological space is a non-intuitive, non-continuous, non-homogeneous, and non-parametric three-dimensional space.

[0006] Multi-scale structural surfaces in rock masses are primarily acquired through drilling and geophysical exploration. Modeling often requires integrating data from multiple formats obtained using different exploration methods. Currently, geological simulations often rely on parametric modeling techniques, combining cross-sections with planar geological maps, and multi-layer DEMs-QTP hybrid data to construct corresponding 3D geological models based on the acquired structural surface data.

[0007] Rock masses are composed of rocks and structural surfaces. In numerical simulations of tunnels and underground engineering, only one set of physical and mechanical parameters is usually used, or the same rock layer is differentiated only based on the degree of weathering and fragmentation. The changes in the physical and mechanical parameters of the rock mass caused by the influence of structural surfaces are not taken into account, which makes the simulation results inaccurate and unable to accurately reflect the true shape and properties of the geological body.

[0008] Summary of the Invention

[0009] In order to solve the above problems, the present invention proposes a simulation method and system based on rock structure surface identification and mechanical parameter prediction. During the numerical simulation of tunnel excavation, the predicted physical and mechanical parameters of the rock mass in front of the excavation point are obtained, and the numerical calculation model of tunnel construction is updated by the predicted physical and mechanical parameters, thereby ensuring the accuracy of the numerical simulation of tunnel excavation.

[0010] To achieve the above object, the present invention adopts the following technical solutions:

[0011] First, a simulation method based on rock mass structural plane identification and mechanical parameter prediction is proposed, including:

[0012] Obtain multi-scale structural surface data and rock mass physical and mechanical parameters at the tunnel construction site;

[0013] Construct a numerical calculation model for tunnel construction based on the multi-scale structural surface data of the rock mass;

[0014] Input the rock mass physical and mechanical parameters into the tunnel construction numerical calculation model to perform tunnel excavation numerical simulation;

[0015] During the simulation process, obtain the real-time excavation parameters of the construction machinery;

[0016] Based on the real-time excavation parameters of the construction machinery and the correlation model between the excavation parameters and the physical and mechanical parameters of the rock mass, the predicted physical and mechanical parameters of the rock mass ahead of the excavation point are obtained;

[0017] The numerical calculation model of tunnel construction is updated by the predicted physical and mechanical parameters of the rock mass ahead of the excavation point.

[0018] Secondly, a simulation system based on rock mass structural surface identification and mechanical parameter prediction was proposed, including:

[0019] Data acquisition module, used to obtain multi-scale structural surface data and physical and mechanical parameters of the rock mass at the tunnel construction site;

[0020] Model construction module, used to construct a numerical calculation model for tunnel construction based on multi-scale structural surface data of rock mass;

[0021] The tunnel excavation numerical simulation module is used to input the physical and mechanical parameters of the rock mass into the tunnel construction numerical calculation model to perform tunnel excavation numerical simulation. During the simulation process, the real-time excavation parameters of the construction machinery are obtained. Based on the real-time excavation parameters of the construction machinery and the correlation model between the excavation parameters and the physical and mechanical parameters of the rock mass, the predicted physical and mechanical parameters of the rock mass ahead of the excavation point are obtained. The tunnel construction numerical calculation model is updated based on the predicted physical and mechanical parameters of the rock mass ahead of the excavation point.

[0022] In a third aspect, an electronic device is proposed, comprising a memory and a processor, and computer instructions stored in the memory and running on the processor. When the computer instructions are run by the processor, the steps described in the simulation method based on rock structure surface identification and mechanical parameter prediction are completed.

[0023] In a fourth aspect, a computer-readable storage medium is proposed for storing computer instructions. When the computer instructions are executed by a processor, the steps of the simulation method based on rock structure surface identification and mechanical parameter prediction are completed.

[0024] Compared with the prior art, the present invention has the following beneficial effects:

[0025] 1. When performing numerical simulation of tunnel excavation, the present invention takes into account the changes in the physical and mechanical parameters of the rock mass caused by the influence of the structural surface. By obtaining real-time excavation parameters, the predicted physical and mechanical parameters of the rock mass ahead of the excavation point are predicted. The numerical calculation model of tunnel construction is then updated based on the predicted physical and mechanical parameters of the rock mass ahead of the excavation point, thereby ensuring the accuracy of the numerical simulation of tunnel excavation.

[0026] 2. When constructing the tunnel construction numerical calculation model, the present invention also dynamically updates the multi-scale structural surface to ensure that the constructed tunnel construction numerical calculation model can simulate the rock mass more realistically, thereby ensuring the accuracy of the tunnel excavation numerical simulation.

[0027] Advantages of additional aspects of the present invention will be given in part in the following description and in part will be obvious from the following description, or will be learned through practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] The drawings in the specification, which constitute a part of this application, are used to provide further understanding of this application. The illustrative embodiments of this application and their descriptions are used to explain this application and do not constitute improper limitations on this application.

[0029] FIG1 is a flow chart of updating the physical and mechanical parameters of a rock mass in the method disclosed in Example 1;

[0030] FIG2 is a schematic diagram of updating a multi-scale structural surface in Example 1;

[0031] FIG3 is a schematic diagram showing the relationship between the excavation parameters and the physical and mechanical parameters of the rock mass disclosed in Example 1;

[0032] FIG4 is a schematic diagram of determining the timing for updating the physical and mechanical parameters of the rock mass disclosed in Example 1. DETAILED DESCRIPTION

[0033] The present invention will be further described below with reference to the accompanying drawings and embodiments.

[0034] It should be noted that the following detailed descriptions are illustrative and intended to provide further explanation of the present application. Unless otherwise specified, all technical and scientific terms used herein have the same meaning as commonly understood by those skilled in the art to which the present application belongs.

[0035] Example 1

[0036] In this embodiment, a simulation method based on rock mass structural plane identification and mechanical parameter prediction is disclosed, as shown in Figures 1 to 4, including:

[0037] S1: Obtain multi-scale structural surface data and rock mass physical and mechanical parameters at the tunnel construction site.

[0038] Multi-scale structural surfaces mainly include five types: faults, interlayer dislocations, weak interlayers, layers, and joints and fissures. The acquisition methods and data contents are shown in Table 1.

[0039] Table 1 Multi-scale structural surface data acquisition method

[0040] The accuracy division of the above multi-scale structural surface is shown in Figure 2.

[0041] The physical and mechanical parameters of the rock mass obtained include rock density, elastic modulus, Poisson's ratio, cohesion, internal friction angle and other parameters.

[0042] S2: Construct a numerical calculation model for tunnel construction based on the multi-scale structural surface data of the rock mass, including:

[0043] Construct a three-dimensional geological model of the rock mass multi-scale structural surface based on the rock mass multi-scale structural surface data;

[0044] The constructed three-dimensional geological model is meshed to construct a numerical calculation model for tunnel construction.

[0045] In order to ensure the accuracy of the three-dimensional geological model of the multi-scale structural surface of the rock mass, when constructing the three-dimensional geological model of the multi-scale structural surface of the rock mass, first, the initial three-dimensional geological model of the multi-scale structural surface of the rock mass is constructed based on the multi-scale structural surface data of the rock mass; second, a progressive detection method is used to obtain the parameters of the large and medium-scale structural surfaces of the rock mass during tunnel excavation; and the structural surface attitude information of the rock mass is obtained; finally, the initial three-dimensional geological model is corrected based on the large and medium-scale structural surface parameters of the rock mass and the structural surface attitude information of the rock mass to obtain the final three-dimensional geological model of the multi-scale structural surface of the rock mass.

[0046] In the specific implementation, the multi-scale structural surface data of the rock mass obtained in step 1 are standardized based on the deviation method, log function method, inverse tangent function method, standard deviation method and other methods to establish a standardized database of multi-scale structural surfaces and multi-type data sources.

[0047] Based on the basic topographic and geomorphological information of the project, the established standardized database was introduced and imported into the EVS (Earth Volumetric Studio) software to establish an initial three-dimensional geological model of the rock mass covering the multi-scale structural surfaces.

[0048] For large-scale structural surfaces such as faults, interlayer dislocations, and weak interlayers, progressive detection methods such as geological exploration, comprehensive geophysical exploration, and borehole television are adopted to dynamically obtain information such as morphology, position, and scale. Based on the priority of detection accuracy, that is, the degree of refinement of the detection method, the spatial position and occurrence of large-scale structural surfaces in the geological model are gradually corrected. For example, for faults, the approximate area range is first determined by remote sensing, and then the fault position and occurrence are determined by airborne transient electromagnetics. Finally, the boundary of the fault is determined by geophysical exploration or drilling.

[0049] For small-scale structural surfaces such as layers, joints and fissures, laser scanning, borehole television and other methods are adopted to conduct cyclic detection during tunnel construction to obtain structural surface attitude information including inclination, dip, trace length, spacing and number of groups. Cluster analysis method is used to obtain the structural surface dominant group of each structural surface area. Based on the structural surface dominant group, the attitude parameters of the structural surface area are obtained, and the small-scale structural surfaces in the structural surface area are updated using these attitude parameters.

[0050] The joints and fissures in the rock formation are complex, so statistical methods (cluster analysis) are needed to obtain the largest group of fractures, which is the structural surface dominant group. Based on this group, the occurrence parameters that can represent the vast majority of joints and fissures in the rock formation can be statistically analyzed, which can be used as the data of joints and fissures in the area.

[0051] The initial 3D geological model of the rock mass's multi-scale structural surfaces is meshed to establish a numerical calculation model for tunnel construction. The mesh can be either tetrahedral or hexahedral. By adjusting the size of the mesh cells, the mesh is denser in the structural surface areas and sparser in the intact rock mass areas where the structural surfaces are not present. The initial 3D geological model is then updated in real time based on the parameters of the large and medium-scale structural surfaces and their occurrence information. The updated model is then re-meshed to obtain an updated numerical calculation model.

[0052] S3: Input the rock mass physical and mechanical parameters into the tunnel construction numerical calculation model to perform tunnel excavation numerical simulation; during the simulation, obtain the real-time excavation parameters of the construction machinery; obtain the predicted physical and mechanical parameters of the rock mass ahead of the excavation point based on the real-time excavation parameters of the construction machinery and the correlation model between the excavation parameters and the rock mass physical and mechanical parameters; and update the tunnel construction numerical calculation model based on the predicted physical and mechanical parameters of the rock mass ahead of the excavation point.

[0053] The correlation model between the excavation parameters and the physical and mechanical parameters of the rock mass is constructed based on the XGBoost model, with the excavation parameters of the construction machinery as input and the predicted physical and mechanical parameters of the rock mass in front of the excavation point as output, as shown in Figure 3.

[0054] The construction machinery may be a rock drilling rig, TBM, shield machine or other construction machinery used at a tunnel construction site.

[0055] When the construction machine is a rock drilling rig, the construction parameters include rotation pressure, thrust pressure, impact pressure, water pressure and water flow.

[0056] When the construction machine is a TBM, the construction parameters include propulsion force, cutterhead torque and cutterhead speed.

[0057] When the construction machine is a shield machine, the construction parameters include propulsion force, cutter head torque, cutter head speed and working chamber pressure.

[0058] The construction parameters of existing construction machinery and the physical and mechanical parameters of the rock mass in front of the corresponding excavation point are obtained as training data. The constructed XGBoost model with the excavation parameters of the construction machinery as input and the predicted physical and mechanical parameters of the rock mass as output is trained. The trained model is a correlation model between the excavation parameters and the physical and mechanical parameters of the rock mass.

[0059] During the numerical simulation of tunnel excavation, the excavation parameters of the construction machinery are obtained in real time. The obtained real-time excavation parameters of the construction machinery are input into the correlation model between the excavation parameters and the physical and mechanical parameters of the rock mass to obtain the predicted physical and mechanical parameters of the rock mass in front of the excavation point at the corresponding moment.

[0060] The predicted physical and mechanical parameters of the rock mass in front of the excavation point are replaced with the physical and mechanical parameters of the rock mass in front of the excavation point in the constructed tunnel construction numerical calculation model to achieve the correction of the tunnel construction numerical calculation model.

[0061] When updating the tunnel construction numerical calculation model using the predicted physical and mechanical parameters of the rock mass ahead of the excavation point:

[0062] The tunnel construction numerical calculation model is updated using the predicted physical and mechanical parameters of the rock mass ahead of the excavation point. The updated model is used to perform numerical simulation of tunnel excavation and obtain numerical simulation results.

[0063] Calculating the difference between the numerical simulation results obtained using the updated model and the numerical simulation results obtained using the non-updated model;

[0064] When the difference is greater than or equal to the set error threshold, the tunnel construction numerical calculation model is updated using the predicted physical and mechanical parameters of the rock mass in front of the excavation point;

[0065] When the difference is less than the set error threshold, the tunnel construction numerical calculation model will not be updated.

[0066] The specific process of determining whether the physical and mechanical parameters in the tunnel construction numerical calculation model are updated by the predicted physical and mechanical parameters of the rock mass ahead of the excavation point is shown in Figure 4. The following three working conditions are calculated respectively, as shown in Figure 4:

[0067] ① After numerical simulation of the tunnel excavation for the i-th time, the predicted physical and mechanical parameters B of the rock mass in front of the i-th excavation entry point are obtained;

[0068] ② Using the numerical calculation model of tunnel construction when the physical and mechanical parameters are A, perform numerical simulation of the j-th tunnel excavation to obtain the j-th numerical simulation results and the predicted physical and mechanical parameters of the rock mass ahead of the j-th excavation entry point;

[0069] ③ The physical and mechanical parameters in the tunnel construction numerical calculation model are updated using the predicted physical and mechanical parameters B of the rock mass ahead of the excavation point during the i-th excavation, so that the physical and mechanical parameters of the updated model are B. The updated model is used to perform the j-th tunnel excavation numerical simulation to obtain the j-th numerical simulation result.

[0070] ④ Calculate the difference between the numerical simulation results obtained in ③ and the numerical simulation results obtained in ②. When the difference is less than the set error threshold, use the model without updated physical and mechanical parameters to perform the numerical simulation of the next excavation, that is, use the tunnel construction numerical calculation model with physical and mechanical parameters A to perform the j-th tunnel excavation numerical simulation. If the difference is greater than or equal to the set error threshold, use the predicted physical and mechanical parameters B of the rock mass ahead of the excavation point of the i-th excavation to update the physical and mechanical parameters in the tunnel construction numerical calculation model, and use the updated model to perform the j-th tunnel excavation numerical simulation.

[0071] ⑤ Using the tunnel construction numerical calculation model with the physical and mechanical parameters A, perform the k-th tunnel excavation numerical simulation to obtain the k-th numerical simulation results and the predicted physical and mechanical parameters of the rock mass ahead of the k-th excavation entry point;

[0072] ⑥ Update the physical and mechanical parameters in the tunnel construction numerical calculation model using the predicted physical and mechanical parameters B of the rock mass ahead of the j-th excavation entry point, so that the physical and mechanical parameters of the updated model are B. Use the updated model to perform the k-th tunnel excavation numerical simulation and obtain the k-th numerical simulation result.

[0073] ⑦ Calculate the difference between the numerical simulation results obtained in ⑤ and the numerical simulation results obtained in ⑥. When the difference is less than the set error threshold, use the model without updated physical and mechanical parameters to perform the numerical simulation of the next excavation, that is, use the tunnel construction numerical calculation model when the physical and mechanical parameters are A to perform the k-th tunnel excavation numerical simulation; if the difference is greater than or equal to the set error threshold, use the predicted physical and mechanical parameters B of the rock mass in front of the j-th excavation entry point to update the physical and mechanical parameters in the tunnel construction numerical calculation model, use the updated model to perform the k-th tunnel excavation numerical simulation, and continue to calculate the subsequent excavation steps.

[0074] By comparing the calculation results before and after the parameter update, the differences in the calculation results were analyzed. An error threshold was set to determine a reasonable pre-calculation step length and a standard for updating the physical and mechanical parameters of the rock mass. This allowed the optimal timing for updating the physical and mechanical parameters of the rock mass to be determined. This ensured both the accuracy and timeliness of the tunnel excavation numerical simulation, eliminating the need, as with traditional methods, to wait until excavation was complete or more complete geological data was available before conducting the simulation.

[0075] The method disclosed in this embodiment considers the changes in the physical and mechanical parameters of the rock mass due to the influence of structural surfaces during tunnel excavation numerical simulation. Real-time tunneling parameters are used to predict the physical and mechanical parameters of the rock mass ahead of the tunneling point. The predicted physical and mechanical parameters of the rock mass ahead of the tunneling point are then used to update the tunnel construction numerical calculation model, ensuring the accuracy of the tunnel excavation numerical simulation. Furthermore, when constructing the tunnel construction numerical calculation model, multi-scale structural surfaces are dynamically updated, ensuring that the constructed tunnel construction numerical calculation model more realistically simulates the rock mass, further ensuring the accuracy of the tunnel excavation numerical simulation.

[0076] Example 2

[0077] In this embodiment, a simulation system based on rock mass structural plane identification and mechanical parameter prediction is disclosed, including:

[0078] Data acquisition module, used to obtain multi-scale structural surface data and physical and mechanical parameters of the rock mass at the tunnel construction site;

[0079] Model construction module, used to construct a numerical calculation model for tunnel construction based on multi-scale structural surface data of rock mass;

[0080] The tunnel excavation numerical simulation module is used to input the physical and mechanical parameters of the rock mass into the tunnel construction numerical calculation model to perform tunnel excavation numerical simulation. During the simulation process, the real-time excavation parameters of the construction machinery are obtained. Based on the real-time excavation parameters of the construction machinery and the correlation model between the excavation parameters and the physical and mechanical parameters of the rock mass, the predicted physical and mechanical parameters of the rock mass ahead of the excavation point are obtained. The tunnel construction numerical calculation model is updated based on the predicted physical and mechanical parameters of the rock mass ahead of the excavation point.

[0081] Example 3

[0082] In this embodiment, an electronic device is disclosed, including a memory and a processor, and computer instructions stored in the memory and running on the processor. When the computer instructions are run by the processor, the steps described in the simulation method based on rock structure surface identification and mechanical parameter prediction disclosed in Example 1 are completed.

[0083] Example 4

[0084] In this embodiment, a computer-readable storage medium is disclosed for storing computer instructions. When the computer instructions are executed by a processor, the steps of the simulation method based on rock structure surface identification and mechanical parameter prediction disclosed in Example 1 are completed.

[0085] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to the above embodiments, ordinary technicians in the field should understand that the specific implementation methods of the present invention can still be modified or replaced by equivalents. Any modification or equivalent replacement that does not depart from the spirit and scope of the present invention should be covered by the scope of protection of the claims of the present invention.

Claims

1. A simulation method based on rock mass structural surface identification and mechanical parameter prediction, characterized in that: include: Obtain multi-scale structural surface data and rock mass physical and mechanical parameters at the tunnel construction site; Construct a numerical calculation model for tunnel construction based on the multi-scale structural surface data of the rock mass; Input the physical and mechanical parameters of the rock mass into the numerical calculation model of tunnel construction to perform numerical simulation of tunnel excavation; During the simulation process, obtain the real-time excavation parameters of the construction machinery; According to the real-time excavation parameters of the construction machinery and the correlation model between the excavation parameters and the physical and mechanical parameters of the rock mass, the predicted physical and mechanical parameters of the rock mass in front of the excavation point are obtained; The numerical calculation model of tunnel construction is updated by the predicted physical and mechanical parameters of the rock mass ahead of the excavation point.

2. The simulation method based on rock mass structural surface identification and mechanical parameter prediction according to claim 1, characterized in that: Construct a three-dimensional geological model of the multi-scale structural surface of the rock mass based on the multi-scale structural surface data of the rock mass; The constructed three-dimensional geological model is meshed to construct a numerical calculation model for tunnel construction.

3. The simulation method based on rock mass structural surface identification and mechanical parameter prediction according to claim 2, characterized in that: The process of constructing a 3D geological model is as follows: Construct an initial three-dimensional geological model of the multi-scale structural surface of the rock mass based on the multi-scale structural surface data of the rock mass; Use progressive detection method to obtain large and medium scale structural surface parameters of rock mass during tunnel excavation; Obtain information on the structural surface of the rock mass; The initial three-dimensional geological model is modified by the parameters of large and medium-scale structural surfaces of the rock mass and the information on the occurrence of the structural surfaces of the rock mass, so as to obtain the final three-dimensional geological model of the multi-scale structural surfaces of the rock mass.

4. The simulation method based on rock mass structural surface identification and mechanical parameter prediction according to claim 3, characterized in that: Based on the priority of detection accuracy, the spatial position and occurrence of large-scale structural surfaces in the geological model are corrected.

5. The simulation method based on rock mass structural surface identification and mechanical parameter prediction according to claim 3, characterized in that: The cluster analysis method is used to obtain the structural surface advantage group of each structural surface area. Based on the structural surface advantage group, the occurrence parameters of the structural surface area are obtained, and the small-scale structural surfaces of the structural surface area are updated through the occurrence parameters.

6. The simulation method based on rock mass structural surface identification and mechanical parameter prediction according to claim 1, characterized in that: The correlation model between excavation parameters and rock mass physical and mechanical parameters is constructed based on the XGBoost model.

7. The simulation method based on rock mass structural surface identification and mechanical parameter prediction according to claim 1, characterized in that: When the numerical calculation model of tunnel construction is updated by the predicted physical and mechanical parameters of the rock mass ahead of the excavation point: The predicted physical and mechanical parameters of the rock mass in front of the excavation point are used to update the numerical calculation model of tunnel construction, and the updated model is used to perform numerical simulation of tunnel excavation to obtain numerical simulation results; Calculating the difference between the numerical simulation results obtained using the updated model and the numerical simulation results obtained using the non-updated model; When the difference is greater than or equal to the set error threshold, the tunnel construction numerical calculation model is updated using the predicted physical and mechanical parameters of the rock mass in front of the excavation point; When the difference is less than the set error threshold, the tunnel construction numerical calculation model is not updated.

8. A simulation system based on rock mass structural surface identification and mechanical parameter prediction, characterized in that: include: A data acquisition module is used to obtain the multi-scale structural surface data and physical and mechanical parameters of the rock mass at the tunnel construction site; Model building module, used to build a numerical calculation model for tunnel construction based on the multi-scale structural surface data of the rock mass; The tunnel excavation numerical simulation module is used to input the physical and mechanical parameters of the rock mass into the numerical calculation model of the tunnel construction to perform numerical simulation of tunnel excavation; during the simulation process, the real-time excavation parameters of the construction machinery are obtained; based on the real-time excavation parameters of the construction machinery and the correlation model between the excavation parameters and the physical and mechanical parameters of the rock mass, the predicted physical and mechanical parameters of the rock mass in front of the excavation point are obtained; and the numerical calculation model of the tunnel construction is updated according to the predicted physical and mechanical parameters of the rock mass in front of the excavation point.

9. An electronic device, characterized in that: The method comprises a memory and a processor and computer instructions stored in the memory and executed on the processor. When the computer instructions are executed by the processor, the steps of the simulation method based on rock structure surface identification and mechanical parameter prediction as described in any one of claims 1 to 7 are completed.

10. A computer-readable storage medium, characterized in that: Used to store computer instructions, which, when executed by a processor, complete the steps of the simulation method based on rock structure surface identification and mechanical parameter prediction as described in any one of claims 1 to 7.

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