Shield hob type selection and tunneling parameter optimization method and device, terminal and medium

Abstract

The invention provides a shield hob type selection and tunneling parameter optimization method and device, a terminal and a medium, and belongs to the technical field of shield construction, and the method comprises the steps: obtaining the stratum information of a target project, the selectable type and / or value range of shield hob structure parameters, and the value range of tunneling parameters; constructing a rock mass discrete element model based on stratum information; presetting combinations of multiple groups of tunneling parameters and shield hob structure parameters; aiming at each group of combination, constructing a corresponding hob model, obtaining a rock breaking numerical simulation model based on the hob model and the rock mass discrete element model, inputting the tunneling parameters in the current combination into the rock breaking numerical simulation model for simulation calculation, and obtaining rock breaking specific energy and wear specific energy of the hob; and final shield hob structure parameters and tunneling parameters are determined. According to the method, the rock breaking numerical simulation model is constructed and the simulation calculation is performed, so that the rock breaking specific energy and the wear specific energy of the hob can be obtained, and the hob structure parameters and the tunneling parameters are cooperatively evaluated.

Description

Technical Field

[0001] This invention relates to the field of tunnel boring machine (TBM) construction technology, and in particular to a method, device, terminal, and medium for selecting TBM cutterheads and optimizing tunneling parameters. Background Technology

[0002] As the core rock-breaking component of a tunnel boring machine (TBM), the cutter head directly participates in rock breaking during the tunneling process. Its cutting performance and lifespan have a decisive impact on tunneling efficiency, construction period, and project cost. Therefore, rationally optimizing the cutter head's structural parameters and tunneling parameters to reduce the overall wear level while ensuring rock-breaking efficiency is a key technical approach to ensuring the continuity and economy of TBM construction.

[0003] Currently, some studies have attempted to predict the life or wear trend of cutterheads using empirical formulas, statistical models, or neural network methods. However, these studies generally focus on changes in a single factor and neglect the coupling mechanism between cutterhead structural parameters and tunneling conditions, making it impossible to effectively evaluate the cutterhead structural parameters and tunneling parameters in a coordinated manner.

[0004] Therefore, existing technologies have shortcomings and need to be improved and developed. Summary of the Invention

[0005] The technical problem to be solved by the present invention is to provide a method, device, terminal and medium for selecting cutterheads and optimizing tunneling parameters in shield tunneling, in order to address the above-mentioned deficiencies of the prior art. The aim is to solve the problem that the prior art cannot effectively evaluate the cutterhead structural parameters and tunneling parameters in a coordinated manner.

[0006] The technical solution adopted by this invention to solve the technical problem is as follows: In a first aspect, embodiments of the present invention provide a method for selecting cutterheads and optimizing tunneling parameters in a tunnel boring machine (TBM), the method comprising: Obtain the geological information of the target project, the selectable types and / or value ranges of the shield cutter head structure parameters, and the value ranges of the tunneling parameters; A discrete element model of the rock mass is constructed based on the aforementioned stratigraphic information; Within the selectable types and / or value ranges of the shield cutter head structure parameters, and within the value range of the tunneling parameters, multiple sets of combinations of shield cutter head structure parameters and tunneling parameters are preset; For each combination, a corresponding cutter model is constructed, and a rock breaking numerical simulation model is obtained based on the cutter model and the rock mass discrete element model. The tunneling parameters in the current combination are input into the rock breaking numerical simulation model for simulation calculation to obtain the rock breaking specific energy and wear specific energy of the cutter. Based on the rock-breaking specific energy and wear specific energy of all combinations, the final shield cutter head structure parameters and tunneling parameters are determined.

[0007] In one embodiment, a rock breaking numerical simulation model is obtained based on the cutter head model and the rock mass discrete element model, including: The cutter model and the rock mass discrete element model are coupled using a preset coupling interface to obtain a rock breaking numerical simulation model; The wear algorithm is embedded in the coupling interface.

[0008] In one implementation, the tunneling parameters in the current combination are input into the rock-breaking numerical simulation model for simulation calculation to obtain the rock-breaking specific energy and wear specific energy of the cutter head, including: The tunneling parameters in the current combination are respectively input into the rock mass discrete element model and the cutter model of the rock breaking numerical simulation model. The rock mass breaking volume, the cutter cutting resultant force and contact force are obtained by processing the rock mass discrete element model. The cutting trajectory length, the cutter contact point slip distance per unit time and the contact grid area between the cutter and the rock mass are obtained by processing the cutter model. The wear volume of the hob is calculated using an embedded wear algorithm based on the contact force and the sliding distance of the contact point per unit time. Based on the resultant cutting force of the roller cutter, the length of the cutting trajectory, and the volume of rock mass broken, the rock breaking specific energy of the roller cutter is obtained; The wear specific energy of the cutter is obtained based on the wear volume of the cutter, the contact grid area, and the rock mass fracture volume.

[0009] In one embodiment, the rock-breaking specific energy of the roller cutter is obtained based on the resultant cutting force of the roller cutter, the cutting trajectory length, and the rock mass fragmentation volume, including: Substituting the resultant cutting force of the roller cutter, the cutting trajectory length, and the rock mass crushing volume into the preset rock breaking energy calculation formula, the rock breaking energy of the roller cutter is obtained. The formula for calculating the rock-breaking specific energy is as follows: , For the resultant force of hobbing cutter, The length of the cutting trajectory. This represents the volume of the broken rock mass.

[0010] In one embodiment, the wear specific energy of the cutter is obtained based on the cutter wear volume, the contact grid area, and the rock mass fracture volume, including: Based on the wear volume of the hob and the contact mesh area, the radial wear of the hob is obtained; The wear specific energy of the cutter is obtained based on the radial wear of the cutter and the volume of rock mass breakage.

[0011] In one implementation, the final cutter structure parameters and tunneling parameters are determined based on the rock-breaking specific energy and wear specific energy of all combinations, including: The rock-breaking energy and wear energy of each combination are normalized to obtain normalized rock-breaking energy and normalized wear energy. Substitute the normalized rock breaking energy and normalized wear energy of each combination into the preset comprehensive index calculation formula to obtain the corresponding comprehensive index. The cutter structure parameters and tunneling parameters corresponding to the smallest comprehensive index among all the aforementioned comprehensive indicators are selected as the final cutter structure parameters and tunneling parameters.

[0012] In one implementation, the formula for calculating the comprehensive index is: ;in, and The preset weighting coefficients, To normalize the rock breaking specific energy, This is the normalized wear specific energy.

[0013] Secondly, embodiments of the present invention also provide a device for optimizing the structural parameters and tunneling parameters of a tunnel boring machine cutterhead, the device comprising: The data acquisition module is used to acquire the geological information of the target project, the selectable types and / or value ranges of the shield cutter head structure parameters, and the value ranges of the tunneling parameters; The construction module is used to construct a discrete element model of the rock mass based on the stratigraphic information; The numerical preset module is used to preset multiple combinations of shield cutter structure parameters and tunneling parameters within the selectable types and / or value ranges of the shield cutter structure parameters and within the value ranges of the tunneling parameters. The calculation module is used to construct a corresponding cutter model for each combination, and obtain a rock breaking numerical simulation model based on the cutter model and the rock mass discrete element model. The tunneling parameters in the current combination are input into the rock breaking numerical simulation model for simulation calculation to obtain the rock breaking specific energy and wear specific energy of the cutter. The parameter determination module is used to determine the final shield cutter head structure parameters and tunneling parameters based on the rock breaking energy and wear energy of all combinations.

[0014] Thirdly, embodiments of the present invention also provide a terminal, the terminal comprising: a memory, a processor, and a shield cutterhead selection and tunneling parameter optimization program stored in the memory and executable on the processor, wherein when the shield cutterhead selection and tunneling parameter optimization program is executed by the processor, the shield cutterhead selection and tunneling parameter optimization program implements the steps of the shield cutterhead selection and tunneling parameter optimization method as described above.

[0015] Fourthly, embodiments of the present invention also provide a computer-readable storage medium storing a shield cutterhead selection and tunneling parameter optimization program, which can be executed to implement the steps of the shield cutterhead selection and tunneling parameter optimization method as described above.

[0016] The beneficial effects of this invention are as follows: This invention obtains the geological information of the target project, the selectable types and / or value ranges of the shield tunnel cutterhead structural parameters, and the value ranges of the tunneling parameters; constructs a rock mass discrete element model based on the geological information; presets multiple combinations of tunneling parameters and shield tunnel cutterhead structural parameters; for each combination, constructs a corresponding cutterhead model, and obtains a rock-breaking numerical simulation model based on the cutterhead model and the rock mass discrete element model; inputs the tunneling parameters in the current combination into the rock-breaking numerical simulation model for simulation calculation to obtain the rock-breaking specific energy and wear specific energy of the cutterhead; and determines the final shield tunnel cutterhead structural parameters and tunneling parameters. This invention, by constructing a rock-breaking numerical simulation model and performing simulation calculations, can obtain the rock-breaking specific energy and wear specific energy of the cutterhead, thereby enabling a collaborative evaluation of the cutterhead structural parameters and tunneling parameters. Attached Figure Description

[0017] Figure 1 This is a flowchart of a preferred embodiment of the shield cutterhead selection and tunneling parameter optimization method in this invention.

[0018] Figure 2 This is a schematic diagram of the rock-breaking energy and wear energy under different penetration depths in this invention.

[0019] Figure 3 This is a three-dimensional schematic diagram of the comprehensive indicators under different penetration depths and cutterhead rotation speeds in this invention.

[0020] Figure 4 This is a schematic diagram of a preferred embodiment of the shield tunnel cutter head structure parameter and tunneling parameter optimization device of the present invention.

[0021] Figure 5 This is a block diagram of the terminal principle of the present invention. Detailed Implementation

[0022] To make the objectives, technical solutions, and advantages of this invention clearer and more explicit, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.

[0023] As the core rock-breaking component of a tunnel boring machine (TBM), the cutter head directly participates in rock breaking during the tunneling process. Its cutting performance and lifespan have a decisive impact on tunneling efficiency, construction period, and project cost. Therefore, rationally optimizing the cutter head's structural parameters and tunneling parameters to reduce the overall wear level while ensuring rock-breaking efficiency is a key technical approach to ensuring the continuity and economy of TBM construction.

[0024] Currently, some studies have attempted to predict the life or wear trend of cutterheads using empirical formulas, statistical models, or neural network methods. However, these studies generally focus on changes in a single factor and neglect the coupling mechanism between cutterhead structural parameters and tunneling conditions, making it impossible to effectively evaluate the cutterhead structural parameters and tunneling parameters in a coordinated manner.

[0025] To address the aforementioned deficiencies in existing technologies, this invention provides a method, device, terminal, and medium for selecting and optimizing tunneling cutterheads in tunnel boring machines (TBMs). The method includes: acquiring geological information, the range of TBM cutterhead structural parameters, and the range of tunneling parameters for the target project; constructing a rock mass discrete element model based on the geological information and establishing a parameterized TBM cutterhead finite element template; pre-setting multiple combinations of tunneling parameters and TBM cutterhead structural parameters; adjusting the TBM cutterhead finite element template for each combination to obtain a cutterhead model; obtaining a rock-breaking numerical simulation model based on the cutterhead model and the rock mass discrete element model; inputting the tunneling parameters into the rock-breaking numerical simulation model for simulation calculation to obtain the rock-breaking specific energy and wear specific energy of the cutterhead; and determining the final TBM cutterhead structural parameters and tunneling parameters. This invention, by constructing a rock-breaking numerical simulation model and performing simulation calculations, can effectively perform collaborative evaluation of cutterhead structural parameters and tunneling parameters.

[0026] Please see Figure 1 The shield tunneling cutterhead selection and tunneling parameter optimization method described in this embodiment of the invention includes the following steps: Step S100: Obtain the geological information of the target project, the selectable types and / or value ranges of the shield cutter head structure parameters, and the value ranges of the tunneling parameters.

[0027] Specifically, the geological information includes the uniaxial compressive strength of the rock, the RQD (Rock Quality Designation) value, and the surrounding rock integrity level. The shield cutterhead structural parameters include cutter length, cutting edge angle, cutting edge width, cutting edge shape, and fillet radius (i.e., the radius of the arc of the cutterhead edge). The cutting edge shape has two options: rounded and flat. The cutter length, cutting edge angle, cutting edge width, and fillet radius have corresponding value ranges. The tunneling parameters are at least two of the following: cutterhead thrust, advance speed, cutterhead torque, cutterhead rotation speed, and penetration depth, and each tunneling parameter has a corresponding value range.

[0028] Please see Figure 1 The shield cutterhead selection and tunneling parameter optimization method described in this embodiment of the invention further includes the following steps: Step S200: Construct a discrete element model of the rock mass based on the stratigraphic information.

[0029] Specifically, the EDEM (Element Discrete Element Method) software was used to construct a rock mass discrete element model based on stratigraphic information. This rock mass discrete element model was used to simulate discontinuous behaviors such as fracture, spalling and separation between particles.

[0030] Please see Figure 1 The shield cutterhead selection and tunneling parameter optimization method described in this embodiment of the invention further includes the following steps: Step S300: Within the selectable types and value ranges of the shield cutterhead structural parameters, and within the value range of the tunneling parameters, preset multiple combinations of tunneling parameters and shield cutterhead structural parameters.

[0031] Specifically, select the available types of cutting edge, and select the corresponding parameter values ​​for cutting edge length, cutting edge angle, cutting edge width, and fillet radius from the corresponding value ranges, and select the parameter values ​​for each tunneling parameter from the value range of the tunneling parameters.

[0032] Please see Figure 1 The shield cutterhead selection and tunneling parameter optimization method described in this embodiment of the invention further includes the following steps: Step S400: Construct a cutter model for each combination, and obtain a rock breaking numerical simulation model based on the cutter model and the rock mass discrete element model. Input the tunneling parameters into the rock breaking numerical simulation model for simulation calculation to obtain the rock breaking specific energy and wear specific energy of the cutter.

[0033] Specifically, for each combination of shield cutterhead structural parameters, a corresponding cutterhead model is established using ANSYS software. Then, a pre-defined coupling interface is used to couple the cutterhead model with the rock mass discrete element model to obtain a rock breaking numerical simulation model; wherein, a wear algorithm is embedded in the coupling interface. The pre-defined coupling interface couples the EDEM software and ANSYS software, enabling data exchange between their solvers, thereby realizing the mechanical transfer during the contact between the cutterhead and the rock mass. Simultaneously, a wear algorithm based on Arcard wear theory is introduced into this coupling interface.

[0034] In one implementation, the tunneling parameters are input into the rock-breaking numerical simulation model for simulation calculation to obtain the rock-breaking specific energy and wear specific energy of the cutter head, including: The tunneling parameters are respectively input into the rock mass discrete element model and the cutter model of the rock breaking numerical simulation model. The rock mass breaking volume, the cutter cutting resultant force and contact force are obtained by processing the rock mass discrete element model. The cutting trajectory length, the cutter contact point slip distance per unit time and the contact grid area between the cutter and the rock mass are obtained by processing the cutter model. The wear volume of the hob is calculated using an embedded wear algorithm based on the contact force and the sliding distance of the contact point per unit time. Based on the resultant cutting force of the roller cutter, the length of the cutting trajectory, and the volume of rock mass broken, the rock breaking specific energy of the roller cutter is obtained; The wear specific energy of the cutter is obtained based on the wear volume of the cutter, the contact grid area, and the rock mass fracture volume.

[0035] Specifically, the calculation formula corresponding to the wear algorithm is as follows: ,in, The preset wear coefficient, For contact force, The preset rock surface hardness, This represents the sliding distance of the contact point of the hob per unit time. This represents the wear volume of the hob. This wear algorithm allows for real-time updates of the wear amount and geometric evolution of the finite element hob surface nodes.

[0036] In one implementation, the rock-breaking specific energy of the roller cutter is obtained based on the resultant cutting force of the roller cutter, the cutting trajectory length, and the rock mass fragmentation volume, including: Substituting the resultant cutting force of the roller cutter, the cutting trajectory length, and the rock mass crushing volume into the preset rock breaking energy calculation formula, the rock breaking energy of the roller cutter is obtained. The formula for calculating the rock-breaking specific energy is as follows: , For the resultant force of hobbing cutter, The length of the cutting trajectory. This represents the volume of the broken rock mass.

[0037] Specifically, rock-breaking energy is a core indicator for evaluating the efficiency of tunnel boring machines (TBMs), quantifying the energy consumed by the cutterhead in breaking a unit volume of rock. This invention can effectively calculate the rock-breaking energy of the cutterhead using a rock-breaking energy calculation formula.

[0038] In one implementation, the wear specific energy of the cutter is obtained based on the cutter wear volume, the contact grid area, and the rock mass fracture volume, including: Based on the wear volume of the hob and the contact mesh area, the radial wear of the hob is obtained; The wear specific energy of the cutter is obtained based on the radial wear of the cutter and the volume of rock mass breakage.

[0039] Specifically, the radial wear of the hob is obtained by substituting the wear volume of the hob and the contact mesh area into the radial wear formula of the hob. The radial wear formula of the hob is: ,in, For radial wear of the hob, Let be the contact grid area. Substituting the radial wear of the cutter and the volume of rock fragmentation into the wear specific energy calculation formula, the wear specific energy of the cutter can be obtained. The wear specific energy calculation formula is: .

[0040] Please see Figure 1 The shield cutterhead selection and tunneling parameter optimization method described in this embodiment of the invention further includes the following steps: Step S500: Based on the rock breaking energy and wear energy of all combinations, determine the final shield cutter head structure parameters and tunneling parameters.

[0041] Specifically, the rock-breaking energy and wear energy of each combination are first normalized to obtain normalized rock-breaking energy and normalized wear energy. Normalization can be performed using the following formula: ,in, The actual value of the input variable can be either rock breaking energy or wear energy. The maximum value of the input variable. The minimum value of the input variable. This represents the normalized value. When calculating the normalized rock-breaking energy, the rock-breaking energy can be used as the actual value of the input variable, the maximum value of the rock-breaking energy corresponding to all combinations can be used as the maximum value of the input variable, and the minimum value of the rock-breaking energy corresponding to all combinations can be used as the minimum value of the input variable. Similarly, when calculating the normalized wear energy, the wear energy can be used as the actual value of the input variable, the maximum value of the wear energy corresponding to all combinations can be used as the maximum value of the input variable, and the minimum value of the wear energy corresponding to all combinations can be used as the minimum value of the input variable.

[0042] After normalization, the normalized rock-breaking energy and normalized wear energy of each combination are substituted into the preset comprehensive index calculation formula to obtain the corresponding comprehensive index. The comprehensive index calculation formula is as follows: ;in, and The preset weighting coefficients, To normalize the rock breaking specific energy, This is the normalized wear specific energy. and Adjustments can be made according to different project objectives. Greater than This is used to pursue high-efficiency tunneling, if Greater than This is used to emphasize wear control. Finally, all the aforementioned comprehensive indicators are selected. The cutter structure parameters and tunneling parameters corresponding to the smallest comprehensive index are used as the final cutter structure parameters and tunneling parameters. This invention utilizes a comprehensive index to unify rock breaking energy and wear energy into an evaluation system, thereby enabling the selection of parameter combinations that achieve a balance between rock breaking efficiency and cutter durability.

[0043] In one implementation, the method further includes: The cutter structure parameters, tunneling parameters, rock breaking energy, wear energy, and comprehensive indicators of each combination are visualized to generate two-dimensional or three-dimensional performance cloud maps.

[0044] Specifically, this method allows users to intuitively view the parameters of each combination, facilitating the comparison of construction parameters and making visual decisions.

[0045] In one embodiment, for a shield tunnel section in region A, the method of the present invention is used to determine the final shield cutter head structure parameters and tunneling parameters.

[0046] Specifically, geological information, cutterhead structural parameter ranges, and tunneling parameter ranges for the shield tunnel section in area A were collected. The average uniaxial compressive strength of the rock in the geological information was 67.2 MPa, the RQD value ranged from 81% to 99%, and the surrounding rock integrity level was Class II, indicating a relatively intact rock mass. In EDEM software, a discrete element model of the rock mass was obtained using the Bonded-particle model based on the geological information, with the rock particle size set to 2 mm. In the cutterhead structural parameters, the cutter length ranged from 10 to 15 inches, the selectable cutting edge types were round and flat, and the cutting edge angle ranged from... The cutting edge width ranges from 10 to 25 mm, and the radius of the cutterhead's cutting edge radius also ranges from 10 to 25 mm. In the tunneling parameters, the cutterhead rotation speed ranges from 0.5 to 2.0 rpm, and the penetration depth ranges from 0 to 10 mm. Different parameter combinations are preset based on these ranges to simulate different working conditions.

[0047] The parameter combinations are shown in Table 1: Table 1

[0048] For each combination, a cutter model is constructed based on its shield cutter structural parameters, where the friction coefficient k is set as follows: Then, by combining the cutter head model and the rock mass discrete element model, the numerical simulation model for rock breaking corresponding to each combination is obtained.

[0049] By substituting the penetration depth and cutterhead rotation speed of each combination into the corresponding rock-breaking numerical simulation model, the rock-breaking specific energy and wear specific energy of each combination of cutters can be calculated. Schematic diagrams of rock-breaking specific energy and wear specific energy at different penetration depths are shown below. Figure 2 As shown in the figure. A three-dimensional schematic diagram of the comprehensive indicators corresponding to different penetration depths and cutterhead speeds is shown in the figure. Figure 3 As shown. After normalizing the rock-breaking specific energy and wear specific energy of each combination of cutters, the corresponding comprehensive index is calculated. At this point, the comprehensive index calculation formula... and The values ​​were set to 0.5 respectively. After calculation, the cutter structure parameters and tunneling parameters corresponding to the minimum value of the comprehensive index were determined as the final cutter structure parameters and tunneling parameters. The final cutter structure parameters are: circular cutting edge, cutting edge width 20mm, and cutting edge angle... The fillet radius is 10mm; the final tunneling parameters are: penetration depth 5.48mm, cutterhead speed 0.5rpm.

[0050] Furthermore, it is also possible to and By setting different values, and with fixed shield cutterhead structural parameters, the corresponding penetration depth and cutterhead rotation speed can be calculated, so that users can make decisions to adapt to different construction objectives.

[0051] The calculation results are shown in Table 2: Table 2

[0052] This invention can also be verified in engineering. By combining actual geological data and cutter replacement records, it can be seen that the method of this invention can effectively identify the optimal balance point between rock breaking and wear, realize the early prediction of cutter wear and improve tunneling efficiency. The optimization results have high consistency and guidance in actual tunneling process. It is especially suitable for cutter configuration decision-making and construction parameter control in complex geological environments, and has good practical value and engineering promotion prospects.

[0053] In summary, the shield tunneling cutterhead selection and tunneling parameter optimization method provided by this invention comprehensively considers the coupling relationship between cutterhead structural parameters, geological conditions, and tunneling parameters. It establishes a numerical simulation model of the cutterhead rock-breaking and wear process, quantitatively evaluates the rock-breaking specific energy and wear specific energy under various parameter combinations, and achieves coordinated optimization of cutterhead selection and construction parameter configuration by constructing a comprehensive index. This method can be integrated into a shield tunneling construction auxiliary decision-making system to provide optimization suggestions for cutterhead selection and construction parameter adjustment in different geological sections.

[0054] In one embodiment, such as Figure 4As shown, based on the above-mentioned method for selecting and optimizing tunneling parameters of shield tunnel cutters, the present invention also provides a device for optimizing the structural parameters and tunneling parameters of shield tunnel cutters, the device comprising: The data acquisition module 100 is used to acquire the geological information of the target project, the selectable types and / or value ranges of the shield cutter head structure parameters, and the value ranges of the tunneling parameters; Construction module 200 is used to construct a discrete element model of the rock mass based on the stratigraphic information; The numerical preset module 300 is used to preset multiple combinations of shield cutter structure parameters and tunneling parameters within the selectable types and / or value ranges of the shield cutter structure parameters and within the value ranges of the tunneling parameters. The calculation module 400 is used to construct a corresponding cutter model for each combination, and obtain a rock breaking numerical simulation model based on the cutter model and the rock mass discrete element model. The tunneling parameters in the current combination are input into the rock breaking numerical simulation model for simulation calculation to obtain the rock breaking specific energy and wear specific energy of the cutter. The parameter determination module 500 is used to determine the final shield cutter head structure parameters and tunneling parameters based on the rock breaking energy and wear energy of all combinations.

[0055] In one embodiment, the device further includes: A coupling unit is used to couple the cutter model and the rock mass discrete element model using a preset coupling interface to obtain a rock breaking numerical simulation model. The coupling interface embeds a wear algorithm.

[0056] In one embodiment, the device further includes: The data input unit is used to input the tunneling parameters in the current combination into the rock mass discrete element model and the cutter model of the rock breaking numerical simulation model respectively. The rock mass discrete element model is used to process the rock mass breaking volume, the cutter cutting resultant force and contact force, and the cutter model is used to process the cutting trajectory length, the cutter contact point slip distance per unit time, and the contact grid area between the cutter and the rock mass. The first calculation unit is used to calculate the wear volume of the hob based on the contact force and the sliding distance of the contact point per unit time using an embedded wear algorithm. The second calculation unit is used to obtain the rock-breaking specific energy of the roller cutter based on the resultant cutting force of the roller cutter, the length of the cutting trajectory, and the volume of rock mass broken. The third calculation unit is used to obtain the wear specific energy of the cutter based on the cutter wear volume, the contact grid area, and the rock mass fracture volume.

[0057] In one embodiment, the device further includes: The rock-breaking energy calculation unit is used to substitute the resultant cutting force of the hob, the cutting trajectory length, and the rock mass crushing volume into a preset rock-breaking energy calculation formula to obtain the rock-breaking energy of the hob; wherein, the rock-breaking energy calculation formula is: , For the resultant force of hobbing cutter, The length of the cutting trajectory. This represents the volume of the broken rock mass.

[0058] In one embodiment, the device further includes: A hob radial wear calculation unit is used to obtain the hob radial wear based on the hob wear volume and the contact mesh area; The wear energy calculation unit is used to obtain the wear energy of the cutter based on the radial wear of the cutter and the volume of rock mass breakage.

[0059] In one embodiment, the device further includes: The normalization unit is used to normalize the rock breaking energy and wear energy of each combination to obtain the normalized rock breaking energy and normalized wear energy. The comprehensive index calculation unit is used to substitute the normalized rock breaking energy and normalized wear energy of each combination into the preset comprehensive index calculation formula to obtain the corresponding comprehensive index. The parameter determination unit is used to select the cutter structure parameters and tunneling parameters corresponding to the smallest comprehensive index among all the comprehensive indicators, as the final cutter structure parameters and tunneling parameters.

[0060] Based on the above embodiments, the present invention also provides a terminal, the structural schematic diagram of which is as follows: Figure 5 As shown. The terminal includes a processor, memory, network interface, and display screen connected via a device bus. The processor provides computing and control capabilities. The memory includes a non-volatile storage medium and internal memory. The non-volatile storage medium stores an operating device and a shield cutterhead selection and tunneling parameter optimization program. The internal memory provides an environment for the operation of the operating device and the shield cutterhead selection and tunneling parameter optimization program stored in the non-volatile storage medium. The network interface is used for communication with external terminals via a network connection. When the shield cutterhead selection and tunneling parameter optimization program is executed by the processor, it implements the steps of any of the aforementioned shield cutterhead selection and tunneling parameter optimization methods. The display screen can be a liquid crystal display (LCD) or an e-ink display.

[0061] Those skilled in the art will understand that Figure 5The structural schematic diagram shown is only a schematic diagram of a part of the structure related to the present invention solution, and does not constitute a limitation on the terminal on which the present invention solution is applied. The specific terminal may include more or fewer components than shown in the figure, or combine some components, or have different component arrangements.

[0062] In one embodiment, a terminal is provided, the terminal including a memory, a processor, and a shield cutterhead selection and tunneling parameter optimization program stored in the memory and executable on the processor. When the shield cutterhead selection and tunneling parameter optimization program is executed by the processor, it implements the steps of any shield cutterhead selection and tunneling parameter optimization method provided in the embodiments of the present invention.

[0063] This invention also provides a computer-readable storage medium storing a shield cutterhead selection and tunneling parameter optimization program. When executed by a processor, this shield cutterhead selection and tunneling parameter optimization program implements the steps of any shield cutterhead selection and tunneling parameter optimization method provided in this invention.

[0064] It should be understood that the sequence number of each step in the above embodiments does not imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention.

[0065] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the above-described division of functional units and modules is merely an example. In practical applications, the above functions can be assigned to different functional units and modules as needed, that is, the internal structure of the above device can be divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiments can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit. Furthermore, the specific names of the functional units and modules are only for easy differentiation and are not intended to limit the scope of protection of this invention. The specific working process of the units and modules in the above device can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0066] In the above embodiments, the descriptions of each embodiment have different focuses. For parts that are not described in detail or recorded in a certain embodiment, please refer to the relevant descriptions of other embodiments.

[0067] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed 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 implementations should not be considered beyond the scope of this invention.

[0068] In the embodiments provided by this invention, it should be understood that the disclosed apparatus / terminal devices and methods can be implemented in other ways. For example, the apparatus / terminal device embodiments described above are merely illustrative. For instance, the division of modules or units described above is only a logical functional division, and in actual implementation, it can be divided in other ways. For example, multiple units or components can be combined or integrated into another device, or some features can be ignored or not executed.

[0069] The above-described embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to limit it. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not mean that the essence of the corresponding technical solutions deviates from the spirit and scope of the technical solutions of the embodiments of the present invention, and should all be included within the protection scope of the present invention.

Claims

1. A method for selecting cutterheads and optimizing tunneling parameters in a tunnel boring machine (TBM), characterized in that, The method includes: Obtain the geological information of the target project, the selectable types and / or value ranges of the shield cutter head structure parameters, and the value ranges of the tunneling parameters; A discrete element model of the rock mass is constructed based on the aforementioned stratigraphic information; Within the selectable types and / or value ranges of the shield cutter head structure parameters, and within the value range of the tunneling parameters, multiple sets of combinations of shield cutter head structure parameters and tunneling parameters are preset; For each combination, a corresponding cutter model is constructed, and a rock breaking numerical simulation model is obtained based on the cutter model and the rock mass discrete element model. The tunneling parameters in the current combination are input into the rock breaking numerical simulation model for simulation calculation to obtain the rock breaking specific energy and wear specific energy of the cutter. Based on the rock-breaking specific energy and wear specific energy of all combinations, the final shield cutter head structure parameters and tunneling parameters are determined.

2. The method for selecting cutterheads and optimizing tunneling parameters for tunnel boring machines according to claim 1, characterized in that, Based on the aforementioned cutter head model and the aforementioned rock mass discrete element model, a rock breaking numerical simulation model is obtained, including: The cutter model and the rock mass discrete element model are coupled using a preset coupling interface to obtain a rock breaking numerical simulation model; The wear algorithm is embedded in the coupling interface.

3. The method for selecting cutterheads and optimizing tunneling parameters for tunnel boring machines according to claim 2, characterized in that, The tunneling parameters in the current combination are input into the rock-breaking numerical simulation model for simulation calculation to obtain the rock-breaking specific energy and wear specific energy of the cutter head, including: The tunneling parameters in the current combination are respectively input into the rock mass discrete element model and the cutter model of the rock breaking numerical simulation model. The rock mass breaking volume, the cutter cutting resultant force and contact force are obtained by processing the rock mass discrete element model. The cutting trajectory length, the cutter contact point slip distance per unit time and the contact grid area between the cutter and the rock mass are obtained by processing the cutter model. The wear volume of the hob is calculated using an embedded wear algorithm based on the contact force and the sliding distance of the contact point per unit time. Based on the resultant cutting force of the roller cutter, the length of the cutting trajectory, and the volume of rock mass broken, the rock breaking specific energy of the roller cutter is obtained; The wear specific energy of the cutter is obtained based on the wear volume of the cutter, the contact grid area, and the rock mass fracture volume.

4. The method for selecting cutterheads and optimizing tunneling parameters for tunnel boring machines according to claim 3, characterized in that, Based on the resultant cutting force of the roller cutter, the cutting trajectory length, and the rock mass fragmentation volume, the rock-breaking specific energy of the roller cutter is obtained, including: Substituting the resultant cutting force of the roller cutter, the cutting trajectory length, and the rock mass crushing volume into the preset rock breaking energy calculation formula, the rock breaking energy of the roller cutter is obtained. The formula for calculating the rock-breaking specific energy is as follows: , For the resultant force of hobbing cutter, The length of the cutting trajectory. This represents the volume of the broken rock mass.

5. The method for selecting cutterheads and optimizing tunneling parameters for tunnel boring machines according to claim 3, characterized in that, Based on the wear volume of the cutter, the contact grid area, and the rock mass fragmentation volume, the wear specific energy of the cutter is obtained, including: Based on the wear volume of the hob and the contact mesh area, the radial wear of the hob is obtained; The wear specific energy of the cutter is obtained based on the radial wear of the cutter and the volume of rock mass breakage.

6. The method for selecting cutterheads and optimizing tunneling parameters for tunnel boring machines according to claim 1, characterized in that, Based on the rock-breaking specific energy and wear specific energy of all combinations, the final cutter structure parameters and tunneling parameters are determined, including: The rock-breaking energy and wear energy of each combination are normalized to obtain normalized rock-breaking energy and normalized wear energy. Substitute the normalized rock breaking energy and normalized wear energy of each combination into the preset comprehensive index calculation formula to obtain the corresponding comprehensive index. The cutter structure parameters and tunneling parameters corresponding to the smallest comprehensive index among all the aforementioned comprehensive indicators are selected as the final cutter structure parameters and tunneling parameters.

7. The method for selecting cutterheads and optimizing tunneling parameters for tunnel boring machines according to claim 6, characterized in that, The formula for calculating the comprehensive index is as follows: ;in, and The preset weighting coefficients, To normalize the rock breaking specific energy, This is the normalized wear specific energy.

8. A device for optimizing the structural parameters and tunneling parameters of a tunnel boring machine cutterhead, characterized in that, include: The data acquisition module is used to acquire the geological information of the target project, the selectable types and / or value ranges of the shield cutter head structure parameters, and the value ranges of the tunneling parameters; The construction module is used to construct a discrete element model of the rock mass based on the stratigraphic information; The numerical preset module is used to preset multiple combinations of shield cutter structure parameters and tunneling parameters within the selectable types and / or value ranges of the shield cutter structure parameters and within the value ranges of the tunneling parameters. The calculation module is used to construct a corresponding cutter model for each combination, and obtain a rock breaking numerical simulation model based on the cutter model and the rock mass discrete element model. The tunneling parameters in the current combination are input into the rock breaking numerical simulation model for simulation calculation to obtain the rock breaking specific energy and wear specific energy of the cutter. The parameter determination module is used to determine the final shield cutter head structure parameters and tunneling parameters based on the rock breaking energy and wear energy of all combinations.

9. A terminal, characterized in that, The terminal includes: a memory, a processor, and a shield cutterhead selection and tunneling parameter optimization program stored in the memory and executable on the processor. When the shield cutterhead selection and tunneling parameter optimization program is executed by the processor, it implements the steps of the shield cutterhead selection and tunneling parameter optimization method as described in any one of claims 1-7.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a shield cutterhead selection and tunneling parameter optimization program. When the shield cutterhead selection and tunneling parameter optimization program is executed by the processor, it implements the steps of the shield cutterhead selection and tunneling parameter optimization method as described in any one of claims 1-7.

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