Method and device for determining support parameters of rock burst tunnel

Abstract

The present invention provides a method and device for determining rock burst tunnel support parameters. The rock burst tunnel support parameter determination method comprises: constructing an initial tunnel model corresponding to the simulated tunnel based on engineering environment information corresponding to the simulated tunnel; optimizing the initial tunnel model based on historical data corresponding to the simulated tunnel to determine a target tunnel model; inputting parameters to be measured into the target tunnel model to obtain tunnel deformation prediction data output by the target tunnel model; and determining target tunnel support parameters corresponding to the simulated tunnel based on the tunnel deformation prediction data and the target support effect. The rock burst tunnel support parameter determination method of the present invention can significantly improve the precision and accuracy of the determined target tunnel support parameters. In addition, it also has high practicality, flexibility, and a wide range of applications.

Description

Technical Field

[0001] The present invention relates to the technical field of tunnels, and in particular to a method and device for determining support parameters of a rock burst tunnel. Background Art

[0002] Maintaining the stability of the tunnel surrounding rock during rock bursts is the primary means of improving tunnel safety. Related technologies primarily employ strong support methods, such as strong anchors and anti-bump supports, to support tunnels. However, these support systems lack scientificity and rationality, and are unable to accurately and effectively control rock burst damage. Summary of the Invention

[0003] The present invention provides a method and device for determining rock burst tunnel support parameters, which are used to solve the defect in the prior art that the impact damage of tunnel surrounding rocks cannot be accurately and effectively controlled, and to achieve accurate and reasonable tunnel support.

[0004] The present invention provides a method for determining rock burst tunnel support parameters, comprising:

[0005] constructing an initial lane model corresponding to the simulated lane based on engineering environment information corresponding to the simulated lane;

[0006] Based on the historical data corresponding to the simulated lane, the initial lane model is optimized to determine the target lane model;

[0007] Inputting the parameters to be measured into the target tunnel model to obtain tunnel deformation prediction data output by the target tunnel model, wherein the parameters to be measured are support-related parameters;

[0008] Based on the tunnel deformation prediction data and the target support effect, target tunnel support parameters corresponding to the simulated tunnel are determined.

[0009] According to a rock burst tunnel support parameter determination method provided by the present invention, the initial tunnel model is optimized based on historical data corresponding to the simulated tunnel to determine the target tunnel model, including:

[0010] Assigning a value to the initial tunnel model based on the historical data to obtain a predicted damage result;

[0011] When the predicted damage result matches the actual damage result corresponding to the historical data, optimizing the historical data and determining a first parameter;

[0012] Based on the first parameter and the simulated working characteristic data corresponding to the anti-collision support, the initial tunnel model is assigned a value to determine the target tunnel model.

[0013] According to a method for determining rock burst tunnel support parameters provided by the present invention, the historical data includes: actual coal and rock mass mechanical parameters, actual earthquake source parameters, and actual support material parameters. The historical data is determined by:

[0014] Determining the actual coal and rock mass mechanical parameters based on the measured physical parameters of the surrounding rock roof layer and the roadway side coal body of the simulated roadway;

[0015] Determining the actual earthquake source parameters based on actual earthquake magnitude information, actual energy information, and actual position information corresponding to the simulated roadway;

[0016] The actual support material parameters are determined based on the support material parameters of the target roadway under historical accident conditions, and the target roadway is a roadway similar to the simulated roadway.

[0017] According to a rock burst tunnel support parameter determination method provided by the present invention, the optimizing of the historical data includes:

[0018] optimizing the historical data based on the predicted damage result and the actual damage result corresponding to the historical data;

[0019] The historical data is optimized based on one of an impact energy magnitude or a hazard level of the simulated roadway.

[0020] According to a rock burst tunnel support parameter determination method provided by the present invention, the simulated working characteristic data is determined by the following method:

[0021] Obtaining a working resistance characteristic curve of the anti-collision support of the simulated tunnel;

[0022] The simulated working characteristic data is determined based on the working resistance characteristic curve.

[0023] According to a method for determining rock burst tunnel support parameters provided by the present invention, the parameters to be measured include:

[0024] The spacing, strength, length, preload force, working resistance, initial support force and yielding displacement between anchor rods and anchor cables.

[0025] According to a rock burst tunnel support parameter determination method provided by the present invention, after determining the target tunnel support parameters corresponding to the simulated tunnel based on the tunnel deformation prediction data and the target support effect, the method includes:

[0026] Acquiring actual state data of the simulated tunnel under the target tunnel support parameters;

[0027] Based on the actual status data, the target tunnel support parameters are optimized.

[0028] According to a rock burst tunnel support parameter determination method provided by the present invention, after determining the target tunnel support parameters corresponding to the simulated tunnel based on the tunnel deformation prediction data and the target support effect, the method includes:

[0029] generating early warning information based on the target roadway support parameters and actual roadway support parameters corresponding to the simulated roadway;

[0030] Output the warning information.

[0031] The present invention also provides a device for determining rock burst tunnel support parameters, comprising:

[0032] A first processing module is used to construct an initial lane model corresponding to the simulated lane based on engineering environment information corresponding to the simulated lane;

[0033] A second processing module is configured to optimize the initial lane model and determine a target lane model based on historical data corresponding to the simulated lane;

[0034] A third processing module is used to input the parameters to be measured into the target tunnel model to obtain tunnel deformation prediction data output by the target tunnel model, wherein the parameters to be measured are support-related parameters;

[0035] The fourth processing module is used to determine the target tunnel support parameters corresponding to the simulated tunnel based on the tunnel deformation prediction data and the target support effect.

[0036] The present invention also provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the program, the method for determining rock burst tunnel support parameters as described above is implemented.

[0037] The present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon. When the computer program is executed by a processor, the method for determining rock burst tunnel support parameters as described in any one of the above is implemented.

[0038] The present invention also provides a computer program product, comprising a computer program, which, when executed by a processor, implements any of the above-described methods for determining rock burst tunnel support parameters.

[0039] The method and device for determining rock burst tunnel support parameters provided by the present invention can improve the accuracy of the target tunnel model by constructing an initial tunnel model and optimizing the initial tunnel model based on historical data corresponding to the simulated tunnel, and then obtaining a target tunnel model; the target tunnel support parameters are determined by the target support effect and the tunnel deformation prediction data output by the target tunnel model, which can significantly improve the precision and accuracy of the determined target tunnel support parameters. In addition, the standard parameters of the target tunnel model and the parameters to be measured input into the target tunnel model can be flexibly adjusted according to actual conditions, and the method and device have certain scientificity, high practicality, flexibility and a wide range of applications. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0041] Figure 1 1 is a flow chart of a method for determining rock burst tunnel support parameters provided by the present invention;

[0042] Figure 2 It is a structural schematic diagram of the rock burst tunnel support parameter determination device provided by the present invention;

[0043] Figure 3 It is a structural schematic diagram of the electronic device provided by the present invention. DETAILED DESCRIPTION

[0044] To make the objectives, technical solutions, and advantages of the present invention more clear, the technical solutions of the present invention will be clearly and completely described below in conjunction with the accompanying drawings. Obviously, the embodiments described are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts shall fall within the scope of protection of the present invention.

[0045] The following combination Figure 1 The method for determining rock burst tunnel support parameters of the present invention is described.

[0046] Figure 1 This is a flow chart of the method for determining rock burst tunnel support parameters provided by the present invention. Figure 1 As shown, the method for determining rock burst tunnel support parameters includes: step 110, step 120, step 130 and step 140.

[0047] Step 110: constructing an initial lane model corresponding to the simulated lane based on the engineering environment information corresponding to the simulated lane;

[0048] Optionally, the simulated tunnel is a tunnel that needs support.

[0049] The engineering environment information is used to characterize the engineering environment conditions of the area where the simulated tunnel is located.

[0050] Engineering environment information includes but is not limited to: actual engineering geological conditions of the area where the simulated tunnel is located, cross-sectional dimensions of the simulated tunnel, and support conditions, etc.

[0051] The engineering environment information is the parameter for constructing the initial tunnel model.

[0052] In the actual implementation process, a grid can be constructed for the area where the simulated tunnel is located to collect engineering environment information and build a tunnel model.

[0053] For example, the grid within 20m around the simulated tunnel can be encrypted to obtain engineering pipe diameter information, thereby improving the accuracy of engineering environment information and improving the accuracy and efficiency of subsequent calculations.

[0054] The initial tunnel model includes: rock structure model and support structure model.

[0055] The initial tunnel model can be constructed using the Universal Distinct Element Code (UDEC) software.

[0056] The size of the initial tunnel model can be determined based on the actual site conditions.

[0057] In some embodiments, the smaller the grid size, the more accurate the simulation results determined based on the roadway model.

[0058] Step 120: Optimize the initial lane model based on historical data corresponding to the simulated lane, and determine the target lane model;

[0059] Optionally, the historical data is real data related to the lane.

[0060] Historical data may include: actual coal rock mechanical parameters, actual earthquake source parameters, actual support material parameters, etc.

[0061] The actual coal rock mechanical parameters are relevant data that characterize the mechanical properties of the coal rock in the area where the simulated roadway is located.

[0062] The actual source parameters are the actual vibration parameters of the area where the vibration occurs when an accident occurs in the simulated tunnel under historical circumstances.

[0063] The actual support material parameters are the actual support related data corresponding to the target tunnel similar to the simulated tunnel under historical conditions when an accident occurs.

[0064] The target roadway model is the model obtained by optimizing the initial roadway model.

[0065] The results output by the target tunnel model are closer to the actual results.

[0066] In the actual execution process, the initial lane model can be optimized based on historical data to determine the target lane model.

[0067] Step 130: Input the parameters to be measured into the target tunnel model to obtain tunnel deformation prediction data output by the target tunnel model, where the parameters to be measured are support-related parameters;

[0068] Optionally, the parameter to be measured is a parameter used to characterize support characteristics.

[0069] The parameters to be measured include: tunnel anchor support material parameters, support parameters and support parameters, etc.

[0070] The parameter to be measured is a variable parameter.

[0071] The tunnel deformation prediction data is obtained through prediction, which is the deformation of the simulated tunnel corresponding to the parameters to be measured under the action of the parameters corresponding to the target model.

[0072] The tunnel deformation prediction data may include: simulated tunnel surface vibration velocity, acceleration, damage range, displacement and other data.

[0073] It is understandable that different input parameters to be measured will result in different corresponding tunnel deformation prediction data.

[0074] In some embodiments, the parameters to be measured include: spacing between anchor rods and anchor cables, strength, length, preload force, working resistance of the anti-collision support, initial support force and yielding displacement.

[0075] During the actual implementation process, after the target tunnel model is determined, the target tunnel model can be calculated during the actual simulation process. By adjusting the input parameters such as the spacing between anchor rods and anchor cables, strength, length, preload force, and other measured parameters such as the working resistance, initial support force, and yield displacement of the anti-impact support, data such as the vibration velocity, acceleration, damage range, and displacement of the simulated tunnel surface can be obtained. Then, the tunnel deformation and damage situation can be comprehensively evaluated based on the obtained tunnel deformation prediction data.

[0076] Step 140: Determine target roadway support parameters corresponding to the simulated roadway based on the roadway deformation prediction data and the target support effect.

[0077] Optionally, the target support effect is the support effect required to be achieved in the simulated tunnel.

[0078] The target support effect includes: the support effect required to be achieved in the simulated tunnel, the impact rock pressure magnitude performance that the simulated tunnel can achieve, and the impact rock pressure hazard level that the simulated tunnel can achieve.

[0079] The target tunnel support parameters are the support data required to effectively protect the tunnel from being damaged during vibration.

[0080] Target tunnel support parameters include but are not limited to: target tunnel anchor support materials, target support parameters and target support parameters.

[0081] In this step, based on the tunnel deformation prediction data and the target support effect, the parameters to be measured are adjusted until the output tunnel deformation prediction data meets the target support effect, and the parameters to be measured can be determined as the target tunnel support parameters.

[0082] Supporting the tunnel based on the target tunnel support parameters can improve the rationality and scientificity of the tunnel support system.

[0083] According to the rock burst tunnel support parameter determination method provided by the embodiment of the present invention, an initial tunnel model is constructed and optimized based on the historical data corresponding to the simulated tunnel to obtain a target tunnel model, thereby improving the accuracy of the target tunnel model; the target tunnel support parameters are determined by the target support effect and the tunnel deformation prediction data output by the target tunnel model, which can significantly improve the precision and accuracy of the determined target tunnel support parameters. In addition, the standard parameters of the target tunnel model and the parameters to be measured input into the target tunnel model can be flexibly adjusted according to actual conditions. It has certain scientificity, high practicality, flexibility and a wide range of applications, and can effectively avoid tunnel collapse and damage when rock burst occurs.

[0084] In some embodiments, step 120, optimizing the initial lane model and determining the target lane model based on historical data corresponding to the simulated lane, may include:

[0085] Assign values ​​to the initial tunnel model based on historical data to obtain predicted damage results;

[0086] When the predicted damage result matches the actual damage result corresponding to the historical data, optimizing the historical data and determining the first parameter;

[0087] Based on the first parameter and the simulated working characteristic data corresponding to the anti-collision support, the initial tunnel model is assigned a value to determine the target tunnel model.

[0088] Optionally, the predicted damage result is obtained based on the prediction of the initial tunnel model, and simulates the damage result that may be produced by the tunnel under the influence of historical data.

[0089] The actual damage results are the actual damage results produced by the simulated tunnel under historical accident conditions.

[0090] The first parameter is the data used to correct the historical data.

[0091] For example, typical rock burst accident cases that occurred in the mine or mining area where the simulated tunnel is located can be selected as sample data to obtain historical data and actual damage results corresponding to the historical data.

[0092] In some embodiments, matching the predicted damage result with the actual damage result corresponding to the historical data may include: an absolute value of a difference between the predicted damage result and the actual damage result corresponding to the historical data does not exceed a target threshold.

[0093] The target threshold is a smaller value that is greater than or equal to 0, and the value of the target threshold can be user-defined.

[0094] When the difference between the predicted damage result and the actual damage result corresponding to the historical data does not exceed the target threshold, it is approximately considered that the predicted damage result is basically consistent with the actual damage result, and the optimized historical data, that is, the first parameter, can be inverted.

[0095] In some embodiments, the first parameter may also be used to calculate the next support solution.

[0096] The simulated working characteristic data is used to characterize the working characteristics of the anti-collision support.

[0097] In the actual execution process, the first parameter and the simulated working characteristic data are used to assign values ​​to the initial tunnel model, so as to obtain the optimized tunnel model, namely the target tunnel model.

[0098] The precision and accuracy of the target tunnel model are higher than those of the initial tunnel model.

[0099] According to the method for determining rock burst tunnel support parameters provided by an embodiment of the present invention, a first parameter is obtained by inverting the predicted damage result and the actual damage result, and based on the first parameter and the simulated working characteristic data corresponding to the anti-impact support, the initial tunnel model is assigned a value to determine the target tunnel model, which can significantly improve the precision and accuracy of the tunnel model.

[0100] In some embodiments, the historical data includes actual coal and rock mass mechanical parameters, actual earthquake source parameters, and actual support material parameters. The historical data can be determined by:

[0101] Determine the actual mechanical parameters of the coal and rock mass based on the measured physical parameters of the surrounding rock roof and the coal mass of the simulated roadway;

[0102] Determine actual earthquake source parameters based on actual earthquake magnitude information, actual energy information, and actual location information corresponding to the simulated tunnel;

[0103] The actual support material parameters are determined based on the support material parameters of the target roadway under historical accident conditions. The target roadway is a roadway similar to the simulated roadway.

[0104] Optionally, the measured physical parameters include, but are not limited to, strength, elastic modulus, Poisson's ratio, cohesion, internal friction angle, strength of support materials such as rods / anchors under impact loads, and elongation.

[0105] In some embodiments, the measured physical parameters may be determined as actual coal rock mechanical parameters, and the initial roadway model may be assigned values ​​based on the measured physical parameters.

[0106] During the actual implementation process, uniaxial compression testing machines and triaxial compression testing machines can be used to test the measured physical parameters of the simulated tunnel surrounding rock roof and tunnel side coal body; a drop hammer impact testing machine can be used to measure the measured physical parameters such as the strength and elongation of support materials such as anchor rods and anchor cables under impact loads.

[0107] In some embodiments, determining actual earthquake source parameters based on actual earthquake magnitude information, actual energy information, and actual location information corresponding to the simulated roadway may include:

[0108] Based on the actual magnitude information, actual energy information and actual position information corresponding to the simulated tunnel, the stress, frequency, amplitude and other parameters of the P wave and S wave are calculated using theoretical calculation methods; then the determined stress, frequency, amplitude and other parameters are determined as the actual source parameters, and the initial tunnel model is assigned based on the actual source parameters.

[0109] The actual support material parameters are the support material parameters obtained by measuring the target tunnel.

[0110] The target lane is similar to the simulation lane, which can be manifested in that the environments in which the target lane and the simulation lane are located are similar.

[0111] In the present invention, the accuracy and integrity of the historical data can be improved by performing coal rock mechanical parameter tests and anchor support material tests to obtain historical data.

[0112] According to the rock burst tunnel support parameter determination method provided by the embodiment of the present invention, historical data is determined based on actual coal rock mechanical parameters, actual earthquake source parameters and actual support material parameters, which can improve the comprehensiveness and integrity of historical data.

[0113] In some embodiments, optimizing historical data may include:

[0114] Optimize historical data based on the actual damage results corresponding to the predicted damage results and historical data;

[0115] The historical data is optimized based on one of the impact energy magnitude or hazard level of the simulated roadway.

[0116] Optionally, after assigning values ​​to the initial tunnel model using actual coal rock mechanical parameters, actual seismic source parameters, and actual support material parameters, the predicted damage results output by the initial tunnel model can be obtained; by comparing and verifying the predicted damage results with the actual damage results, when the predicted damage results are basically consistent with the actual damage results, the optimized coal rock mechanical parameters, seismic source parameters, support material parameters and other data are obtained by inversion, and the optimized data is the first parameter.

[0117] In this embodiment, the first parameter is obtained by inverting the mechanical parameters of the coal rock mass and the mechanical parameters of the bolt support material, which can improve the accuracy of the first parameter and thus improve the accuracy of subsequent calculation results.

[0118] Furthermore, when the first parameter includes the source parameter, the impact energy of the tunnel with similar geological conditions and engineering conditions monitored by the microseismic monitoring system can be used, or the comprehensive index method can be used to determine the magnitude or hazard level of the simulated tunnel impact energy; then the corresponding theoretical calculation formula is used to determine the P-wave and S-wave parameters of the impact source, that is, stress, frequency, and distance from the tunnel; and then, based on the mechanical inversion results, the source parameters are appropriately corrected to obtain the first parameter.

[0119] In this embodiment, by performing an impact magnitude or hazard assessment on the simulated tunnel to be designed and correcting the earthquake source parameters, the scientificity and rationality of the first parameter can be further improved.

[0120] According to the rock burst tunnel support parameter determination method provided by the embodiment of the present invention, by inverting historical data to obtain optimized data, the accuracy of the obtained first parameter can be improved, thereby making the first parameter more scientific and reasonable.

[0121] In some embodiments, the simulated operating characteristic data may be determined as follows:

[0122] Obtain the working resistance characteristic curve of the anti-collision support of the simulated tunnel;

[0123] Based on the working resistance characteristic curve, the simulated working characteristic data is determined.

[0124] Optionally, the working resistance characteristic curve is a curve used to characterize the working resistance of the anti-impact support.

[0125] For example, a 6000KN impact testing machine can be used to test the working resistance characteristic curve of the tunnel anti-impact support, and the curve can be appropriately simplified and fitted to determine the working resistance parameters of the multi-segment linear anti-impact support. The determined parameters are then input into the initial tunnel model using fish language programming to simulate the working characteristics of the anti-impact support in the tunnel.

[0126] In the present invention, the working resistance characteristics of the anti-collision support are tested to generate simulated working characteristic data for simulating the working characteristics of the anti-collision support, which facilitates the assignment of the simulated working characteristic data to the tunnel model, so that the target tunnel model can accurately simulate the working characteristics of the anti-collision support in the tunnel, thereby improving the accuracy and precision of the target tunnel model.

[0127] According to the rock burst tunnel support parameter determination method provided by an embodiment of the present invention, the simulated working characteristic data is determined through the working resistance characteristic curve, which can effectively and accurately simulate the working characteristics of the anti-impact support in the tunnel, thereby improving the accuracy and precision of the target tunnel model to improve the subsequent calculation effect.

[0128] In some embodiments, after step 140, the method may further include:

[0129] Obtaining actual status data of the simulated tunnel under target tunnel support parameters;

[0130] Optimize target tunnel support parameters based on actual status data.

[0131] Optionally, the actual state data includes but is not limited to: data such as the internal vibration of the surrounding rock, the stress of the anchor (cable) support structure, and the deformation of the tunnel during the simulated tunnel excavation process.

[0132] The actual status data is used to evaluate the stability of the tunnel surrounding rock and support structure to ensure the safe use of rock burst tunnels.

[0133] During the actual implementation process, dynamic feedback can be provided on the rock burst tunnel support design based on the actual status data obtained to verify the reliability of the support system and optimize the tunnel support design parameters and design methods.

[0134] In the present invention, by combining the establishment of UDEC tunnel model, testing of coal rock mechanical parameters and anchor support material testing, inversion of coal rock mechanical parameters and anchor support material mechanical parameters, impact magnitude or hazard assessment of the tunnel to be designed, working resistance characteristic testing of anti-impact supports, numerical calculation and support parameter determination, and dynamic adjustment of tunnel support design, the support parameters are determined, which can realize the scientific and quantitative design of rock burst tunnel support, and effectively avoid the collapse and damage of tunnels when rock burst occurs.

[0135] According to the rock burst tunnel support parameter determination method provided by the embodiment of the present invention, the target tunnel support parameters are optimized based on actual status data, and dynamic adjustment of the tunnel support design can be achieved to further improve the accuracy and rationality of the determined target tunnel support parameters.

[0136] In some embodiments, after step 140, the method may further include:

[0137] Generate early warning information based on the target roadway support parameters and the actual roadway support parameters corresponding to the simulated roadway;

[0138] Output warning information.

[0139] Optionally, the actual tunnel support parameters are real support parameters currently corresponding to the simulated tunnel.

[0140] The early warning information is used to characterize the potential safety hazards existing in the current support conditions of the simulated tunnel.

[0141] The early warning information is used to warn users to assist them in timely maintaining the simulated lanes, thereby improving the safety of the simulated lanes.

[0142] The warning information can be output in at least one of the following ways:

[0143] First, text output.

[0144] In this embodiment, the terminal can output warning information while outputting the target tunnel support parameters. Users (such as operators or safety inspection personnel) can optimize the support parameters of the simulated tunnel in a timely manner based on the warning information and the target tunnel support parameters.

[0145] Second, voice output.

[0146] In this embodiment, the terminal can warn the operator by voice that there is a safety hazard in the current simulated lane.

[0147] Third, image output.

[0148] In this embodiment, the warning information can be displayed on the monitoring center screen, or the warning information can be deliberately displayed while displaying the surrounding environment picture of the simulated tunnel, so as to promptly remind the user to perform tunnel support maintenance.

[0149] Fourth, signal light output.

[0150] In this embodiment, the signal light is controlled to flash to remind the monitoring personnel that there is a safety hazard in the current simulated lane.

[0151] Of course, in other embodiments, the output may also be in other forms, which can be determined according to actual needs and are not limited in this embodiment of the present invention.

[0152] According to the rock burst tunnel support parameter determination method provided in an embodiment of the present invention, early warning information is generated and output based on the target tunnel support parameters and the actual tunnel support parameters corresponding to the simulated tunnel. This can promptly remind the user of safety hazards in the current simulated tunnel and better assist the user in optimizing the support parameters, thereby improving the safety and timely response of the simulated tunnel.

[0153] The rock burst tunnel support parameter determination device provided by the present invention is described below. The rock burst tunnel support parameter determination device described below and the rock burst tunnel support parameter determination method described above can refer to each other.

[0154] Figure 2 This is a schematic diagram of the structure of the rock burst tunnel support parameter determination device provided by the present invention. Figure 2 As shown, the rock burst tunnel support parameter determination device includes: a first processing module 210, a second processing module 220, a third processing module 230 and a fourth processing module 240.

[0155] The first processing module 210 is used to construct an initial lane model corresponding to the simulated lane based on the engineering environment information corresponding to the simulated lane;

[0156] The second processing module 220 is used to optimize the initial lane model and determine the target lane model based on the historical data corresponding to the simulated lane;

[0157] The third processing module 230 is used to input the parameters to be measured into the target tunnel model to obtain tunnel deformation prediction data output by the target tunnel model, where the parameters to be measured are support-related parameters;

[0158] The fourth processing module 240 is used to determine target tunnel support parameters corresponding to the simulated tunnel based on the tunnel deformation prediction data and the target support effect.

[0159] According to the rock burst tunnel support parameter determination device provided by the embodiment of the present invention, an initial tunnel model is constructed and optimized based on the historical data corresponding to the simulated tunnel to obtain a target tunnel model, thereby improving the accuracy of the target tunnel model; the target tunnel support parameters are determined by the target support effect and the tunnel deformation prediction data output by the target tunnel model, which can significantly improve the precision and accuracy of the determined target tunnel support parameters. In addition, the standard parameters of the target tunnel model and the parameters to be measured input into the target tunnel model can be flexibly adjusted according to actual conditions, and the device has certain scientificity, high practicality, flexibility and a wide range of applications.

[0160] In some embodiments, the second processing module 220 may also be used to:

[0161] Assign values ​​to the initial tunnel model based on historical data to obtain predicted damage results;

[0162] When the predicted damage result matches the actual damage result corresponding to the historical data, optimizing the historical data and determining the first parameter;

[0163] Based on the first parameter and the simulated working characteristic data corresponding to the anti-collision support, the initial tunnel model is assigned a value to determine the target tunnel model.

[0164] In some embodiments, the historical data includes actual coal and rock mass mechanical parameters, actual earthquake source parameters, and actual support material parameters. The apparatus may further include a fifth processing module for:

[0165] Determine the actual mechanical parameters of the coal and rock mass based on the measured physical parameters of the surrounding rock roof and the coal mass of the simulated roadway;

[0166] Determine actual earthquake source parameters based on actual earthquake magnitude information, actual energy information, and actual location information corresponding to the simulated tunnel;

[0167] Based on the support material parameters of the simulated tunnel under historical accident conditions, the actual support material parameters are determined.

[0168] In some embodiments, the second processing module 220 may also be used to:

[0169] Optimize historical data based on the actual damage results corresponding to the predicted damage results and historical data;

[0170] The historical data is optimized based on one of the impact energy magnitude or hazard level of the simulated roadway.

[0171] In some embodiments, the apparatus may further include a sixth processing module configured to:

[0172] Obtain the working resistance characteristic curve of the anti-collision support of the simulated tunnel;

[0173] Based on the working resistance characteristic curve, the simulated working characteristic data is determined.

[0174] In some embodiments, the apparatus may further comprise:

[0175] a seventh processing module for obtaining actual state data of the simulated roadway under the target roadway support parameters after determining target roadway support parameters corresponding to the simulated roadway based on the roadway deformation prediction data and the target support effect;

[0176] The eighth processing module is used to optimize the target tunnel support parameters based on actual status data.

[0177] In some embodiments, the apparatus may further comprise:

[0178] a ninth processing module for determining target roadway support parameters corresponding to the simulated roadway based on the roadway deformation prediction data and the target support effect, and then generating early warning information based on the target roadway support parameters and actual roadway support parameters corresponding to the simulated roadway;

[0179] The tenth processing module is used to output warning information.

[0180] Figure 3 An example of a physical structure diagram of an electronic device is shown below. Figure 3 As shown, the electronic device may include: a processor 310, a communications interface 320, a memory 330, and a communications bus 340, wherein the processor 310, the communications interface 320, and the memory 330 communicate with each other via the communications bus 340. The processor 310 may call logic instructions in the memory 330 to execute a method for determining rock burst tunnel support parameters, the method comprising: constructing an initial tunnel model corresponding to the simulated tunnel based on engineering environment information corresponding to the simulated tunnel; optimizing the initial tunnel model based on historical data corresponding to the simulated tunnel to determine a target tunnel model; inputting parameters to be measured into the target tunnel model to obtain tunnel deformation prediction data output by the target tunnel model, wherein the parameters to be measured are support-related parameters; and determining target tunnel support parameters corresponding to the simulated tunnel based on the tunnel deformation prediction data and the target support effect.

[0181] In addition, the logic instructions in the above-mentioned memory 330 can be implemented in the form of a software functional unit and can be stored in a computer-readable storage medium when sold or used as an independent product. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes several instructions for enabling a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.

[0182] On the other hand, the present invention also provides a computer program product, which includes a computer program stored on a non-transitory computer-readable storage medium, and the computer program includes program instructions. When the program instructions are executed by a computer, the computer can execute the impact ground pressure tunnel support parameter determination method provided by the above-mentioned methods, the method including: constructing an initial tunnel model corresponding to the simulated tunnel based on the engineering environment information corresponding to the simulated tunnel; optimizing the initial tunnel model based on the historical data corresponding to the simulated tunnel, and determining the target tunnel model; inputting the parameters to be measured into the target tunnel model, and obtaining the tunnel deformation prediction data output by the target tunnel model, wherein the parameters to be measured are support-related parameters; determining the target tunnel support parameters corresponding to the simulated tunnel based on the tunnel deformation prediction data and the target support effect.

[0183] On the other hand, the present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, is implemented to execute the above-mentioned rock burst tunnel support parameter determination methods, the method comprising: constructing an initial tunnel model corresponding to the simulated tunnel based on the engineering environment information corresponding to the simulated tunnel; optimizing the initial tunnel model based on the historical data corresponding to the simulated tunnel, and determining the target tunnel model; inputting the parameters to be measured into the target tunnel model, and obtaining tunnel deformation prediction data output by the target tunnel model, wherein the parameters to be measured are support-related parameters; and determining the target tunnel support parameters corresponding to the simulated tunnel based on the tunnel deformation prediction data and the target support effect.

[0184] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, i.e., they may be located in one location or distributed across multiple network units. Some or all of the modules may be selected based on actual needs to achieve the objectives of the present embodiment. Persons of ordinary skill in the art will be able to understand and implement the present invention without inventive effort.

[0185] Through the description of the above embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus a necessary general hardware platform, or of course, by hardware. Based on this understanding, the essence of the above technical solution or the part that contributes to the existing technology can be embodied in the form of a software product. The computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a magnetic disk, an optical disk, etc., and includes a number of instructions for enabling a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or certain parts of the embodiments.

[0186] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the various embodiments of the present invention.

Claims

1. A method for determining rock burst tunnel support parameters, characterized in that: include: constructing an initial lane model corresponding to the simulated lane based on engineering environment information corresponding to the simulated lane; Based on the historical data corresponding to the simulated lane, the initial lane model is optimized to determine the target lane model, including: Assigning a value to the initial tunnel model based on the historical data to obtain a predicted damage result; When the predicted damage result matches the actual damage result corresponding to the historical data, optimizing the historical data and determining a first parameter; Assigning a value to the initial tunnel model based on the first parameter and the simulated working characteristic data corresponding to the anti-collision support to determine the target tunnel model; The historical data include: actual coal and rock mechanical parameters, actual earthquake source parameters and actual support material parameters; Inputting the parameters to be measured into the target tunnel model to obtain tunnel deformation prediction data output by the target tunnel model, wherein the parameters to be measured are support-related parameters; Based on the tunnel deformation prediction data and the target support effect, the target tunnel support parameters corresponding to the simulated tunnel are determined, wherein the target support effect includes: the support effect required to be achieved by the simulated tunnel, the impact ground pressure magnitude performance that the simulated tunnel can achieve, and the impact ground pressure hazard level that the simulated tunnel can achieve.

2. The method for determining rock burst tunnel support parameters according to claim 1, characterized in that: The historical data is determined as follows: Determining the actual coal and rock mass mechanical parameters based on the measured physical and mechanical parameters of the surrounding rock roof layer and the roadway side coal body of the simulated roadway; Determining the actual earthquake source parameters based on the actual magnitude information, actual energy information, and actual position information corresponding to the simulated roadway; The actual support material parameters are determined based on the support material parameters of the target tunnel under historical accident conditions, and the target tunnel is a tunnel similar to the simulated tunnel.

3. The method for determining rock burst tunnel support parameters according to claim 1, characterized in that: The optimizing the historical data includes: optimizing the historical data based on the predicted damage result and the actual damage result corresponding to the historical data; The historical data is optimized based on one of an impact energy magnitude or a hazard level of the simulated roadway.

4. The method for determining rock burst tunnel support parameters according to claim 1, characterized in that: The simulated operating characteristic data is determined in the following manner: Obtaining a working resistance characteristic curve of the anti-collision support of the simulated tunnel; The simulated working characteristic data is determined based on the working resistance characteristic curve.

5. The method for determining rock burst tunnel support parameters according to any one of claims 1 to 4, characterized in that: The parameters to be measured include: The spacing, strength, length, preload force, working resistance, initial support force and yielding displacement between anchor rods and anchor cables.

6. The method for determining rock burst tunnel support parameters according to any one of claims 1 to 4, characterized in that: After determining the target roadway support parameters corresponding to the simulated roadway based on the roadway deformation prediction data and the target support effect, the method includes: Acquiring actual state data of the simulated tunnel under the target tunnel support parameters; Based on the actual state data, the target tunnel support parameters are optimized.

7. The method for determining rock burst tunnel support parameters according to any one of claims 1 to 4, characterized in that: After determining the target roadway support parameters corresponding to the simulated roadway based on the roadway deformation prediction data and the target support effect, the method includes: generating early warning information based on the target roadway support parameters and actual roadway support parameters corresponding to the simulated roadway; Output the warning information.

8. A device for determining rock burst tunnel support parameters, characterized in that: include: A first processing module is used to construct an initial lane model corresponding to the simulated lane based on engineering environment information corresponding to the simulated lane; The second processing module is configured to optimize the initial lane model and determine a target lane model based on historical data corresponding to the simulated lane, including: Assigning a value to the initial tunnel model based on the historical data to obtain a predicted damage result; When the predicted damage result matches the actual damage result corresponding to the historical data, optimizing the historical data and determining a first parameter; Assigning a value to the initial tunnel model based on the first parameter and the simulated working characteristic data corresponding to the anti-collision support to determine the target tunnel model; The historical data include: actual coal and rock mechanical parameters, actual earthquake source parameters and actual support material parameters; A third processing module is used to input the parameters to be measured into the target tunnel model to obtain tunnel deformation prediction data output by the target tunnel model, wherein the parameters to be measured are support-related parameters; The fourth processing module is used to determine the target tunnel support parameters corresponding to the simulated tunnel based on the tunnel deformation prediction data and the target support effect, wherein the target support effect includes: the support effect required to be achieved by the simulated tunnel, the impact ground pressure magnitude performance that the simulated tunnel can achieve, and the impact ground pressure hazard level that the simulated tunnel can achieve.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the program, the method for determining rock burst tunnel support parameters as described in any one of claims 1 to 7 is implemented.

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