Surrounding rock deformation parameter inversion and damage evaluation method and system based on monitoring while drilling

Abstract

The invention discloses a surrounding rock deformation parameter inversion and damage evaluation method and system based on monitoring while drilling, and belongs to the technical field of underground engineering and rock mass mechanics, and the method comprises the steps: obtaining parameters while drilling in a tunnel drilling and tunneling process; according to the while-drilling parameters, axial drilling pressure and rotating load energy are calculated; performing weighted fusion on the axial drilling pressure and the rotating load energy to obtain an elastic modulus predicted value of the surrounding rock; according to the elastic modulus predicted value of the surrounding rock, rock mass damage variables are calculated and determined; and calculating and determining a rock mass damage map of each section of the tunnel according to all rock mass damage variables in the tunnel drilling and tunneling process. Accurate prediction of the surrounding rock elasticity modulus and the rock mass damage variable is achieved, and the problems that prediction of the surrounding rock elasticity modulus is not accurate at present, and direct display of the rock mass damage variable cannot be achieved are solved.

Description

Technical Field

[0001] This invention relates to the fields of underground engineering and rock mechanics, and in particular to a method and system for inverting surrounding rock deformation parameters and evaluating damage based on monitoring while drilling. Background Technology

[0002] The statements in this section are merely background information related to the present invention and do not necessarily constitute prior art.

[0003] In underground engineering, the mechanical properties of surrounding rock directly affect excavation stability and construction safety. Current methods for evaluating surrounding rock largely rely on core drilling tests, acoustic wave detection, and in-situ elastic modulus testing. However, these methods have limited testing points, and the results are significantly affected by core integrity and operational conditions, making it difficult to obtain continuous and reliable spatial distribution. Furthermore, traditional surrounding rock quality grading still depends on experience-based interpretation, lacking real-time accuracy and objectivity.

[0004] In contrast, drilling-while-drilling (DWD) monitoring parameters such as drill pressure, torque, rotational speed, and drilling speed can continuously reflect the rock mass fracturing and deformation response, offering advantages such as real-time performance, cost-effectiveness, and undisturbed operation. However, existing methods mostly rely on empirical identification and lack a quantitative mapping mechanism between DWD data and key deformation parameters such as the elastic modulus of the surrounding rock, making it difficult to effectively invert the relationship between the elastic modulus of the surrounding rock and the distribution of surrounding rock damage. Summary of the Invention

[0005] To address the aforementioned problems, this invention proposes a method and system for inverting surrounding rock deformation parameters and evaluating damage based on monitoring while drilling. This enables accurate prediction of the elastic modulus of the tunnel surrounding rock and accurate evaluation of rock mass damage at various tunnel cross sections.

[0006] To achieve the above objectives, the present invention adopts the following technical solution: Firstly, a method for inverting surrounding rock deformation parameters and evaluating damage based on drilling monitoring is proposed, including: Obtain drilling parameters during tunnel drilling and excavation; Calculate the axial drilling pressure and rotational load energy based on the drilling parameters; The axial drilling pressure and rotational load energy are weighted and fused to obtain the predicted value of the elastic modulus of the surrounding rock. Based on the predicted value of the elastic modulus of the surrounding rock, the rock mass damage variables are calculated and determined; Based on all rock mass damage variables during tunnel drilling and excavation, rock mass damage diagrams for each section of the tunnel are calculated and determined.

[0007] Furthermore, the quality of the surrounding rock is evaluated based on the drilling parameters to obtain the surrounding rock quality evaluation results.

[0008] Furthermore, based on the drilling parameters, the surrounding rock quality is evaluated using a surrounding rock quality evaluation model. This model is constructed using a particle swarm optimization-backpropagation neural network and trained with drilling parameters labeled with the surrounding rock quality evaluation results.

[0009] Furthermore, the rock mass damage variable is calculated by subtracting the ratio between the predicted elastic modulus of the surrounding rock and the reference elastic modulus of the undamaged rock mass from 1.

[0010] Furthermore, interpolation is performed on all rock mass damage variables located at the same cross section of the tunnel to obtain the continuous circumferential rock mass damage distribution at each cross section of the tunnel; Based on the continuous circumferential rock mass damage distribution at each section of the tunnel, rock mass damage maps for each section of the tunnel are generated.

[0011] Furthermore, the weighting coefficients used when weighting and fusing axial drilling pressure and rotational load energy are calculated with the goal of minimizing the sum of squared residuals between the predicted and measured elastic modulus values ​​of the surrounding rock.

[0012] Secondly, a system for inverting surrounding rock deformation parameters and evaluating damage based on drilling monitoring is proposed, including: The drilling parameter acquisition unit is used to acquire drilling parameters during the tunnel drilling process. The elastic modulus prediction calculation unit is used to calculate the axial drill pressure and rotational load energy based on the drilling parameters; the axial drill pressure and rotational load energy are weighted and fused to obtain the elastic modulus prediction value of the surrounding rock. The surrounding rock damage surface construction unit is used to calculate and determine the rock mass damage variables based on the predicted value of the elastic modulus of the surrounding rock; and to calculate and determine the rock mass damage map of each section of the tunnel based on all the rock mass damage variables during the tunnel drilling and excavation process.

[0013] Thirdly, a computer device is proposed, the device comprising: A processor, adapted to execute computer programs; A computer-readable storage medium storing a computer program, which, when executed by the processor, implements the method for inverting surrounding rock deformation parameters and evaluating damage based on monitoring while drilling, as proposed in the first aspect.

[0014] Fourthly, a computer-readable storage medium is proposed, which stores a computer program adapted for loading and execution by a processor of the method for inverting surrounding rock deformation parameters and evaluating damage based on monitoring while drilling proposed in the first aspect.

[0015] Fifthly, a computer program product is proposed, which includes a computer program. When the computer program is executed by a processor, it implements the method for inverting surrounding rock deformation parameters and evaluating damage based on drilling monitoring proposed in the first aspect.

[0016] Compared with the prior art, the beneficial effects of the present invention are as follows: This invention proposes a method and system for inverting surrounding rock deformation parameters and evaluating damage based on drilling monitoring. The method calculates and determines the axial drilling pressure and rotational load energy during tunnel drilling based on the drilling parameters. By integrating these two dimensions, the elastic modulus of the surrounding rock is accurately predicted. Then, based on the predicted elastic modulus, rock mass damage variables are calculated and determined. Finally, based on all rock mass damage variables during tunnel drilling, rock mass damage maps for each section of the tunnel are calculated and determined. This achieves real-time, continuous, and accurate prediction of the elastic modulus of the surrounding rock and fine reconstruction of rock mass damage profiles during tunnel drilling, meeting the requirements for safety and refined design in underground engineering construction.

[0017] Advantages of additional aspects of the invention will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. Attached Figure Description

[0018] The accompanying drawings, which form part of this application, are used to provide a further understanding of this application. The illustrative embodiments of this application and their descriptions are used to explain this application and do not constitute an undue limitation of this application.

[0019] Figure 1 This is a flowchart of the method for inverting and evaluating surrounding rock deformation parameters based on monitoring while drilling, as proposed in this embodiment of the invention. Figure 2 This is a hole arrangement diagram proposed in an embodiment of the present invention; Figure 3 This is a drilling pressure curve obtained in an embodiment of the present invention; Figure 4 This is a torque curve obtained in an embodiment of the present invention; Figure 5 This is a drill bit rotation speed curve obtained in an embodiment of the present invention; Figure 6 This is a drilling speed curve obtained in an embodiment of the present invention; Figure 7 This is a distribution curve of the predicted elastic modulus values ​​obtained in an embodiment of the present invention; Figure 8 This is a distribution curve of rock mass damage variables obtained in an embodiment of the present invention; Figure 9 This is a two-dimensional inversion diagram of the predicted elastic modulus obtained in an embodiment of the present invention; Figure 10 This is a two-dimensional inversion diagram of rock mass damage variables obtained in an embodiment of the present invention; Figure 11 This is a graph showing the measured and predicted elastic modulus values ​​of hole 1 obtained in an embodiment of the present invention. Figure 12 This is a residual curve between the measured value and the predicted value of the elastic modulus of hole 1 calculated according to an embodiment of the present invention. Detailed Implementation

[0020] The present invention will be further described below with reference to the accompanying drawings and embodiments.

[0021] It should be noted that the following detailed descriptions are illustrative and intended to provide further explanation of this application. Unless otherwise specified, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application pertains.

[0022] It should be noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to limit the exemplary embodiments according to this application. As used herein, the singular form is intended to include the plural form as well, unless the context clearly indicates otherwise. Furthermore, it should be understood that when the terms "comprising" and / or "including" are used in this specification, they indicate the presence of features, steps, operations, devices, components, and / or combinations thereof.

[0023] Where there is no conflict, the embodiments and features in the embodiments of the present invention can be combined with each other.

[0024] To achieve accurate inversion and prediction of the elastic modulus and damage distribution of surrounding rock, this invention proposes a method for inverting surrounding rock deformation parameters and evaluating damage based on drilling monitoring.

[0025] like Figures 1-12 As shown in the embodiments of the present invention, the method for inverting surrounding rock deformation parameters and evaluating damage based on drilling monitoring includes: Obtain drilling parameters during tunnel drilling and excavation; Calculate the axial drilling pressure and rotational load energy based on the drilling parameters; The axial drilling pressure and rotational load energy are weighted and fused to obtain the predicted value of the elastic modulus of the surrounding rock. Based on the predicted value of the elastic modulus of the surrounding rock, the rock mass damage variables are calculated and determined; Based on all rock mass damage variables during tunnel drilling and excavation, rock mass damage diagrams for each section of the tunnel are calculated and determined.

[0026] In this embodiment of the invention, the quality of the surrounding rock is evaluated based on the drilling parameters to obtain the evaluation results of the surrounding rock quality.

[0027] Specifically, based on the drilling parameters, the surrounding rock quality is evaluated using a surrounding rock quality evaluation model. This model is constructed using a particle swarm optimization-backpropagation (PSO-BP) neural network and trained with drilling parameters labeled with the surrounding rock quality evaluation results.

[0028] This invention calculates and determines the axial drilling pressure and rotational load energy during tunnel drilling based on drilling parameters. By combining these two dimensions, the elastic modulus of the surrounding rock is accurately predicted. Then, based on the predicted elastic modulus of the surrounding rock, the rock mass damage variables are calculated and determined, achieving an accurate quantitative evaluation of rock mass damage. Finally, based on all the rock mass damage variables during tunnel drilling, the rock mass damage diagrams for each section of the tunnel are calculated and determined. Simultaneously, based on the drilling parameters, an accurate evaluation of the surrounding rock quality is achieved, meeting the requirements for safety and refined design in underground engineering construction.

[0029] In some embodiments, a drilling monitoring system installed on the drilling rig is used to acquire raw drilling signals in real time during the tunnel drilling process. The acquired raw drilling signals include, but are not limited to, the following: drilling pressure. W (N), Torque T (N·m), rotational speed n (r / s) and drilling speed v (m / s).

[0030] The raw drilling signal is preprocessed to obtain the drilling parameters.

[0031] The preprocessing of the raw drilling signals includes signal synchronization processing and signal noise reduction processing to ensure the accuracy and stability of the subsequent construction of elastic modulus prediction values.

[0032] Since the sampling frequencies of different parameters (such as torque, speed, drilling pressure, etc.) differ, data alignment is first achieved based on time series linear interpolation, so that all signals are sampled at a uniform time step.

[0033] (1) in, The original drilling signal. For the synchronized signal, To unify the time series.

[0034] To suppress mechanical vibration, electrical noise, and sensor drift interference generated during drilling, wavelet threshold denoising was performed on the synchronously processed signal to obtain drilling parameters. This preprocessing effectively removes high-frequency random noise while preserving the main variation characteristics of the signal, improving the stability and physical interpretability of the data.

[0035] This invention uses the basic units of mass (M), length (L), and time (T) to preprocess the acquired raw drilling signals, resulting in drilling parameters including drilling pressure. W ( MLT -2 ), Drill bit cross-sectional area A ( L 2 ), drill bit torque T ( ML 2 T -2 Drill bit speed n ( T -1 and drilling speed v ( LT -1 ).

[0036] During drilling, the drill bit is subjected to drilling pressure in the axial direction. And apply drill bit torque during rotation. The combined effect of these two factors causes the rock mass to fracture and undergo plastic deformation. In order to quantitatively determine the elastic modulus of the surrounding rock without relying on external loading, so as to characterize the stiffness of the surrounding rock, a predicted value of the elastic modulus that can be directly characterized by drilling parameters was constructed based on dimensional analysis and the concept of energy conservation.

[0037] To balance physical rationality and parameter availability, axial drilling pressure and rotational load energy were selected as components of the predicted value of the surrounding rock elastic modulus.

[0038] Among them, axial drilling pressure for: (2) Axial drilling pressure It represents the stress per unit area under drilling pressure, reflecting the response of the rock mass during axial compression.

[0039] Rotational load energy for: (3) This rotating load energy It represents the energy input density during the drill bit rotation process, that is, the distribution of input power per unit time to a unit volume of rock, reflecting the equivalent deformation characteristics of the rock mass under cutting and crushing action.

[0040] Both of the above quantities are in the dimension of stress (Pa), and can be linearly superimposed to form a comprehensive characterization index. The former mainly reflects the axial loading effect, while the latter reflects the cutting energy input characteristics. The combination of the two can comprehensively reflect the stress and deformation response of the surrounding rock during the drilling process.

[0041] Therefore, the predicted value of the elastic modulus of the surrounding rock. (Nominal modulus) can be expressed as: (4) in, and These are dimensionless calibration coefficients, i.e., weighting coefficients used when weighting and fusing axial drilling pressure and rotational load energy. The two coefficients are used to adjust the relative contribution of each item to the overall elastic modulus prediction value.

[0042] In some embodiments, the weighting coefficients used when weighting and fusing axial drilling pressure and rotational load energy are calculated with the goal of minimizing the sum of squared residuals between the predicted and measured elastic modulus values ​​of the surrounding rock.

[0043] The embodiments of the present invention use a combination of indoor mechanical tests and in-situ borehole tests to determine the measured value of the elastic modulus of the surrounding rock.

[0044] The process of indoor mechanical testing includes: (1) Collect rock core samples corresponding to the borehole, prepare standard specimens and conduct uniaxial compressive strength tests to obtain the surrounding rock strength parameters. For cases where broken rock cores cannot be prepared, point load tests are used to obtain the point load strength index. And estimate based on empirical conversion formulas. .

[0045] (5) (2) Use borehole television or ultrasonic imaging to obtain fracture development characteristics, such as fracture density and orientation combination; measure longitudinal wave velocity. Calculate the surrounding rock integrity index .

[0046] Table 1 and Correspondence

[0047] (6) in, The number of joints in the rock mass. The elastic longitudinal wave velocity of the rock mass is (km / s). The elastic longitudinal wave velocity of the rock is (km / s).

[0048] (3) Comprehensive consideration With the surrounding rock integrity index Calculate the comprehensive index of surrounding rock quality The results are then adjusted based on external influencing factors such as fault structure, groundwater conditions, and joint development, ultimately yielding a surrounding rock classification result (I~V) that conforms to the actual engineering situation.

[0049] (7) (8) (9) The embodiments of the present invention also use rock mass property indicators (such as...) , Using parameters such as drilling parameters as indicators for evaluating surrounding rock quality, the drilling parameters used for training are labeled to obtain training data. The constructed particle swarm optimization-backpropagation (PSO-BP) neural network is trained using the training data. After training, a surrounding rock quality evaluation model is obtained. This model takes the drilling parameters as input and the surrounding rock quality evaluation results as output. The drilling parameters can be directly processed to obtain the surrounding rock quality evaluation results.

[0050] The true elastic modulus of the surrounding rock at different depths is obtained by multi-point elastic modulus testing, i.e., the measured value of the elastic modulus of the surrounding rock. The specific process of obtaining the measured value of the elastic modulus of the surrounding rock includes: (1) Assemble the borehole elastic modulus tester as required and connect it to the pressure sensor and displacement measuring device. Before testing, calibrate the equipment by directly loading and measuring the displacement to verify the sensitivity, pressure transmission performance and displacement prediction accuracy of the instrument, and ensure the reliability of the test data.

[0051] (2) Slowly lower the drilling elastic modulator into the borehole and position it at the borehole opening. Apply a certain preload pressure using a pressure pump. The initial pressure is applied to ensure the loading plate fully contacts the bore wall. The initial pressure and corresponding displacement values ​​are then read and used as zero-point references for subsequent data.

[0052] (3) The maximum loading pressure is also selected according to the surrounding rock grade. The loading process employs a tiered loading control system, with a total of ten loading levels up to the maximum loading pressure. The specific loading path is: 0.1 Pm →0.2 Pm →…→0.9 Pm → Pm After loading is complete, perform tiered unloading based on the same duration: Pm →0.9 Pm →…→0.2 Pm →0.1 Pm .

[0053] (10) (4) Load to the maximum loading pressure at each stage. Afterward, once the pressure gauge and displacement sensor readings stabilize, record the corresponding loading pressure and radial displacement data. Then proceed to the next loading stage until the entire loading-unloading cycle is completed. After each test point, return the instrument to its initial state and move it to the next test point using the metal rod to continue testing. The number of test points can be determined based on the borehole depth and changes in the surrounding rock.

[0054] (5) After the test, the loading and unloading data of each test point were sorted out and linear regression analysis was performed. The measured value of the elastic modulus of the surrounding rock was calculated based on the pressure-radial displacement relationship. The formula is: (11) In the formula: α The influence coefficient for the three-dimensional problem; H This is the pressure correction factor; D The borehole diameter is in mm. ΔQ This represents the pressure increment (MPa). ΔD The deformation increment is in mm. T =2.141. Generally, when calculating the elastic modulus of borehole rock, the value in the formula is... ΔQ and ΔD Take the incremental value of the linear segment of the high-pressure part of the pressure deformation curve.

[0055] In determining the predicted value of the elastic modulus of the surrounding rock To improve the accuracy of its characterization of the actual elastic modulus of rock mass, the weighting coefficients were adjusted. and Optimization was performed. The optimization process used the measured elastic modulus values ​​obtained from multi-point elastic modulus testing. Based on this, and combined with the drilling parameters at the corresponding depth points Construct a regression dataset.

[0056] Predicted elastic modulus of the surrounding rock at this depth point for: (12) Determining the optimal coefficients using the linear least squares method and The principle is to minimize the sum of squared residuals between the predicted and measured values ​​of the elastic modulus: (13) By solving this optimization problem, a set of optimal coefficients can be obtained, which minimizes the overall error between the predicted and measured values ​​of the elastic modulus.

[0057] This invention provides an embodiment for each depth point of each hole during tunnel drilling. Each corresponds to a predicted value of the elastic modulus of the surrounding rock. This forms a discrete sequence of predicted elastic modulus values. This distribution can be used to analyze the modulus variation characteristics of rock mass along the borehole depth, and intuitively reflect the differences in the stress state of rock mass during drilling.

[0058] Then, the rock mass damage variable is calculated by subtracting the ratio between the predicted elastic modulus of the surrounding rock and the reference elastic modulus of the undamaged rock mass from 1. : (14) in, This is a reference value for the elastic modulus of undamaged rock mass.

[0059] Obtain the rock mass damage variables along the borehole depth for each borehole. Then, interpolation was performed on all rock mass damage variables located at the same cross section of the tunnel to obtain the continuous circumferential rock mass damage distribution of each cross section of the tunnel; Based on the continuous circumferential rock mass damage distribution at each cross-section of the tunnel, rock mass damage maps for each cross-section are generated. Specifically: Based on all rock mass damage variables during tunnel drilling and excavation, a discrete matrix is ​​formed. Each column corresponds to the depth profile of a hole, and each row corresponds to the rock mass damage variables of holes at the same depth in different circumferential directions.

[0060] Discrete data of circumferential angles Linear interpolation is performed to generate a continuous circumferential rock mass damage distribution. ; Circumferential rock mass damage distribution between two adjacent boreholes and In the circumferential angle Upper linear computation: (15) Thus, along the depth h and circumferential angle Two-dimensional damage maps are generated to visualize the circumferential-depth damage of tunnel sections.

[0061] This invention also includes obtaining the predicted elastic modulus values ​​of each hole along the hole depth direction. Then, the predicted elastic modulus values ​​of all sections of the tunnel are interpolated to obtain the continuous circumferential elastic modulus distribution of each section of the tunnel. Based on the continuous circumferential elastic modulus distribution of each section of the tunnel, an elastic modulus diagram of each section of the tunnel is generated.

[0062] Taking a tunnel as an example, this paper describes and verifies the method for inverting surrounding rock deformation parameters and evaluating damage based on monitoring while drilling, as proposed in this embodiment of the invention. Five boreholes were set up during the tunnel excavation process. Figure 2 As shown.

[0063] Before tunnel excavation, multi-point elastic modulus testing was used to obtain measured values ​​of the elastic modulus of the surrounding rock at different depths. During tunnel excavation, drilling parameters, including the drill bit cross-sectional area, were collected in real time. A ( L 2 Drilling pressure W ( MLT -2 ), drill bit torque T ( ML 2 T -2 Drill bit speed n ( T -1 and drilling speed v ( LT -1 ).

[0064] Based on the above drilling parameters, the following can be calculated: Figure 7 The predicted elastic modulus values ​​shown are as follows: Figure 8 The rock mass damage variables shown are ultimately generated as follows. Figure 9 The diagram shows the elastic modulus of a certain section of the tunnel and as shown below. Figure 10 The diagram shows the rock mass damage.

[0065] The method for inverting surrounding rock deformation parameters and evaluating damage based on monitoring while drilling proposed in this invention realizes the real-time, continuous and accurate determination of the predicted value of the elastic modulus of the surrounding rock and the fine reconstruction of the rock mass damage profile during tunnel drilling and excavation, which can meet the requirements of underground engineering construction safety and refined design.

[0066] Taking hole 1 as an example, the measured values ​​of the elastic modulus of the surrounding rock at different depths are obtained, such as... Figure 11 The center dot indicates the drilling pressure collected in real time during tunnel excavation. W ( MLT -2 )like Figure 3 As shown, drill bit torque T ( ML 2 T -2 )like Figure 4 As shown, the drill bit rotation speed n ( T -1 )like Figure 5 As shown, drilling speedv ( LT -1 )like Figure 6 As shown.

[0067] Based on the above drilling parameters, the following can be calculated: Figure 11 The predicted value of the elastic modulus shown by the black line is based on... Figure 11 As shown, the residual between the predicted value and the measured value of the elastic modulus is calculated. Figure 12 As shown, through Figure 12 It can be seen that the residual between the two is small, indicating that the method proposed in this embodiment of the invention has high accuracy in predicting elastic modulus. On this basis, it can ensure the accuracy of rock mass damage variables.

[0068] This invention also proposes a system for inverting surrounding rock deformation parameters and evaluating damage based on monitoring while drilling, including: The drilling parameter acquisition unit is used to acquire drilling parameters during the tunnel drilling process. The elastic modulus prediction calculation unit is used to calculate the axial drill pressure and rotational load energy based on the drilling parameters; the axial drill pressure and rotational load energy are weighted and fused to obtain the elastic modulus prediction value of the surrounding rock. The surrounding rock damage surface construction unit is used to calculate and determine the rock mass damage variables based on the predicted value of the elastic modulus of the surrounding rock; and to calculate and determine the rock mass damage map of each section of the tunnel based on all the rock mass damage variables during the tunnel drilling and excavation process.

[0069] It should be noted that the rock deformation parameter inversion and damage evaluation system based on drilling monitoring provided in the above embodiments is only illustrated by the division of the above functional modules when performing rock deformation parameter inversion and rock mass damage evaluation. In practical applications, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the equipment can be divided into different functional modules to complete all or part of the functions described above. In addition, the rock deformation parameter inversion and damage evaluation system based on drilling monitoring provided in the above embodiments and the method embodiment based on drilling monitoring for rock deformation parameter inversion and damage evaluation belong to the same concept. The specific implementation process is detailed in the method embodiment and will not be repeated here.

[0070] The present invention also discloses a computer device, the device comprising: A processor, adapted to execute computer programs; A computer-readable storage medium storing a computer program, which, when executed by the processor, implements the method for inverting surrounding rock deformation parameters and evaluating damage based on drilling monitoring disclosed in the embodiments of the present invention.

[0071] The present invention also discloses a computer-readable storage medium storing a computer program adapted for loading and execution by a processor of the method for inverting surrounding rock deformation parameters and evaluating damage based on monitoring while drilling disclosed in the embodiments of the present invention.

[0072] The present invention also discloses a computer program product, which includes a computer program. When the computer program is executed by a processor, it implements the method for inverting surrounding rock deformation parameters and evaluating damage based on drilling monitoring disclosed in the embodiments of the present invention.

[0073] The method disclosed in this invention can be directly implemented by a hardware processor, or implemented by a combination of hardware and software modules within the processor. The software modules can reside in readily available storage media in the art, such as random access memory, flash memory, read-only memory, programmable read-only memory, electrically erasable programmable memory, or registers. This storage medium is located in memory, and the processor reads information from the memory and, in conjunction with its hardware, completes the steps of the above method. To avoid repetition, detailed descriptions are omitted here.

[0074] Those skilled in the art will recognize that the units and algorithm steps described in conjunction with the embodiments herein can be implemented in electronic hardware or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0075] While the specific embodiments of the present invention have been described above in conjunction with the accompanying drawings, this is not intended to limit the scope of protection of the present invention. Those skilled in the art should understand that various modifications or variations that can be made by those skilled in the art without creative effort based on the technical solutions of the present invention are still within the scope of protection of the present invention.

Claims

1. A method for inverting surrounding rock deformation parameters and evaluating damage based on drilling monitoring, characterized in that, include: Obtain drilling parameters during tunnel drilling and excavation; Calculate the axial drilling pressure and rotational load energy based on the drilling parameters; The axial drilling pressure and rotational load energy are weighted and fused to obtain the predicted value of the elastic modulus of the surrounding rock. Based on the predicted value of the elastic modulus of the surrounding rock, the rock mass damage variables are calculated and determined; Based on all rock mass damage variables during tunnel drilling and excavation, rock mass damage diagrams for each section of the tunnel are calculated and determined.

2. The method for inverting surrounding rock deformation parameters and evaluating damage based on drilling monitoring as described in claim 1, characterized in that, The quality of the surrounding rock is also evaluated based on the drilling parameters to obtain the surrounding rock quality evaluation results.

3. The method for inverting surrounding rock deformation parameters and evaluating damage based on drilling monitoring as described in claim 2, characterized in that, Based on the drilling parameters, the surrounding rock quality is evaluated using a surrounding rock quality evaluation model. This model is constructed using a particle swarm optimization-backpropagation neural network and trained with drilling parameters labeled with the surrounding rock quality evaluation results.

4. The method for inverting surrounding rock deformation parameters and evaluating damage based on drilling monitoring as described in claim 1, characterized in that, The rock mass damage variable is calculated by subtracting the ratio between the predicted elastic modulus of the surrounding rock and the reference elastic modulus of the undamaged rock mass from 1.

5. The method for inverting surrounding rock deformation parameters and evaluating damage based on drilling monitoring as described in claim 1, characterized in that, Interpolate all rock mass damage variables located at the same cross section of the tunnel to obtain the continuous circumferential rock mass damage distribution of each cross section of the tunnel; Based on the continuous circumferential rock mass damage distribution at each section of the tunnel, rock mass damage maps for each section of the tunnel are generated.

6. The method for inverting surrounding rock deformation parameters and evaluating damage based on drilling monitoring as described in claim 1, characterized in that, The weighting coefficients used when weighting and fusing axial drilling pressure and rotational load energy are calculated with the goal of minimizing the sum of squared residuals between the predicted and measured elastic modulus values ​​of the surrounding rock.

7. A system for inverting surrounding rock deformation parameters and evaluating damage based on drilling monitoring, characterized in that, include: The drilling parameter acquisition unit is used to acquire drilling parameters during the tunnel drilling process. The elastic modulus prediction calculation unit is used to calculate axial drill pressure and rotational load energy based on drilling parameters. The axial drilling pressure and rotational load energy are weighted and fused to obtain the predicted value of the elastic modulus of the surrounding rock. The surrounding rock damage surface construction unit is used to calculate and determine the rock mass damage variables based on the predicted value of the elastic modulus of the surrounding rock. Based on all rock mass damage variables during tunnel drilling and excavation, rock mass damage diagrams for each section of the tunnel are calculated and determined.

8. An electronic device, characterized in that, The device includes: A processor, adapted to execute computer programs; A computer-readable storage medium storing a computer program, which, when executed by the processor, implements the method for inverting surrounding rock deformation parameters and evaluating damage based on monitoring while drilling, as described in any one of claims 1-6.

9. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program adapted for loading by a processor and executing the method for inverting surrounding rock deformation parameters and evaluating damage based on monitoring while drilling, as described in any one of claims 1-6.

10. A computer program product, characterized in that, The computer program product includes a computer program that, when executed by a processor, implements the method for inverting surrounding rock deformation parameters and evaluating damage based on drilling monitoring as described in any one of claims 1-6.

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