A device and a matching seepage analysis method for simulating roughness of cracks in real time based on finite element idea

Abstract

The application provides a device for simulating crack roughness in real time based on the finite element thought and a matching seepage analysis method, which comprises a transparent empty box body composed of transparent grid plates, the transparent empty box body contains composite epoxy resin magnetic self-aggregation slurry, the transparent empty box body is internally provided with symmetrically arranged magnetic force micro unit control plates, the magnetic force micro unit control plates are connected with a magnetic field control servo system for the magnetic field size through signal lines, the transparent empty box body is internally provided with multiple groups of fiber grating flow rate sensors and fiber grating temperature sensors, the two sides of the transparent grid plates are respectively provided with water inlets and water outlets, and the water inlets are connected with water supply systems. A brand-new visual data monitoring technology is provided to reflect the dynamic water grouting diffusion process, the rock roughness can be changed in real time at any time without time limitation, a large amount of test time is saved, and a feasible quantitative analysis method is provided for studying the relationship between the rock crack seepage area and the roughness.

Description

Technical Field

[0001] This invention relates to a device for real-time dynamic simulation of fracture roughness based on the finite element method and a matching seepage analysis method, belonging to the field of geotechnical engineering technology. Background Technology

[0002] In modern geotechnical engineering projects such as tunnel engineering, mining, slope reinforcement, and water conservancy and hydropower projects, rock mass joints and fissures have a significant impact on the stability of rock mass engineering. On the one hand, changes in rock mass fissures under engineering disturbances directly lead to rock mass deformation and failure. On the other hand, the presence of complex fissures alters the stress state of the rock mass, reducing its strength. Therefore, finding methods to simulate fissure roughness to study the influence of rock mass fissures on strength characteristics and rock mass failure patterns is of great practical significance. Applying the results to the stability evaluation of rock mass engineering projects such as slope reinforcement and tunnel engineering has significant practical value and social benefits.

[0003] Natural fractures unfold in three-dimensional space, and their surfaces are not smooth and flat, but rather rough and undulating. The roughness of the fracture surface plays a crucial role in the seepage characteristics of rock masses. However, most current studies simplify the seepage between fracture surfaces as flow between two smooth parallel plates or as an ideal curve, which significantly affects the accuracy and applicability of the research results. This fails to capture the true experimental laws of rock mass seepage, leading to deviations in guiding grouting and plugging. Furthermore, the randomness of fracture formation makes measuring and calculating the roughness of these simulated joints quite complex, especially quantitatively analyzing the impact of different roughness levels on the seepage laws of rock fractures. Therefore, there is an urgent need to develop a device that can dynamically simulate fracture roughness in real time, along with related seepage analysis methods, to provide a more convenient experimental technique for research related to rock mass joint roughness. Summary of the Invention

[0004] The technical problem to be solved by the present invention is to provide a device and a matching seepage analysis method for real-time dynamic simulation of crack roughness based on the finite element method. The device simulates crack roughness by controlling the magnetic force of a magnet with a servo control system so that the magnetic epoxy resin is distributed according to the JRC value. Then, the flow path of simulated water inrush is scanned by a thermal imager, thereby achieving real-time dynamic simulation of crack roughness. It can also quantitatively analyze the relationship between seepage area and roughness under different crack openings and different grouting pressures.

[0005] To achieve the aforementioned technical features, the present invention aims to provide a device for real-time dynamic simulation of crack roughness based on the finite element method. This device includes a transparent empty box composed of a transparent mesh plate, the interior of which contains a composite epoxy resin magnetic self-polymerizing slurry. Symmetrically arranged magnetic micro-unit control boards are disposed within the transparent empty box, and these control boards are connected via signal lines to a magnetic field control servo system for controlling the magnetic field magnitude. Multiple sets of fiber optic flow velocity sensors and fiber optic temperature sensors are disposed within the transparent empty box. Inlets and outlets are respectively disposed on both sides of the transparent mesh plate, with the inlets connected to a water supply system.

[0006] The transparent grid plate is made of transparent acrylic sheet with magnetic shielding properties; and the magnetic micro-unit control board is arranged parallel to the transparent grid plate, with lifting screws at the four corners, and the two sides are closed with transparent acrylic sheet.

[0007] The magnetic micro-unit control board is composed of multiple controllable small electromagnets, and the magnetic force of each controllable small electromagnet is adjusted by a magnetic field control servo system. The magnetic field control servo system can convert the JRC value input from the console into the corresponding magnetic force value for different regions, so that the composite epoxy resin magnetic self-polymerizing slurry is distributed according to the magnetic force, thereby simulating different roughness states. The JRC value is the joint roughness coefficient.

[0008] The water supply system includes an adjustable pressure water pump, which is connected to a water storage bottle via a connecting pipe; the outlet of the water storage bottle is connected to the inlet via an outlet pipe, and a flow sensor is installed on the outlet pipe.

[0009] The water storage bottle is equipped with a temperature-controlled heater inside, and a pressure gauge and valve are installed on the upper part of the water storage bottle. The water in the water storage bottle is heated to the required temperature by the temperature-controlled heater, so that the fiber optic temperature sensor and fiber optic flow velocity sensor can monitor the seepage process of the water in the crack.

[0010] The composite epoxy resin magnetic self-polymerizing slurry is composed of epoxy resin without curing agent, iron powder, fly ash, anti-settling and anti-sagging agent, and iron powder dispersant. The proportions are adjusted according to the needs of the slurry to ensure that the slurry can take into account the fluidity, magnetism and hydrophobicity of the composite epoxy resin magnetic self-polymerizing slurry.

[0011] The composite epoxy resin magnetic self-polymerizing slurry is composed of the following components by mass ratio: 36%–38% epoxy resin, 50%–52% iron powder, 6%–7% fly ash, 1%–1.5% anti-settling and anti-sagging agent, and 1%–1.5% iron powder dispersant; the stirring speed is 1000–2000 rpm, and the stirring time is 5–8 minutes.

[0012] The lifting screw is made of copper with a certain degree of antimagnetism. The nut tube is embedded in the four corners of the magnetic micro-unit control board and the transparent grid plate. The opening between the two magnetic micro-unit control boards is controlled by tightening and loosening the nut, thereby simulating different crack openings.

[0013] A device based on the finite element method is used to simulate the roughness of cracks in real time, and a corresponding seepage analysis method is adopted. After simulating the required roughness and aperture using the magnetic micro-unit control board of the magnetic field control servo system and the composite epoxy resin magnetic self-polymerizing slurry, the water is heated to a certain temperature using the temperature-controllable heater to conduct a crack seepage simulation experiment. Then, the flow path of the water in the crack is monitored using fiber optic temperature sensor and fiber optic flow velocity sensor for analysis.

[0014] A method for analyzing seepage flow using a device for real-time dynamic simulation of crack roughness based on the finite element method includes the following steps:

[0015] Step 1: Take a controllable small electromagnet of a single magnetic micro-unit control board and a transparent empty box containing composite epoxy resin magnetic self-polymerizing slurry. Conduct magnetic adsorption tests of composite epoxy resin magnetic self-polymerizing slurry at different heights and with different magnetic forces. Determine the height at which the composite epoxy resin magnetic self-polymerizing slurry is attracted at different heights and with different magnetic forces. The height of the controllable small electromagnet and the transparent grid plate and the magnitude of the magnetic force are determined according to specific needs.

[0016] Step 2: Based on the data obtained from the experiment in Step 1, a series of controllable small electromagnets were then used to adsorb composite epoxy resin magnetic self-polymerizing slurry. The magnetic field strength of each controllable small electromagnet was different, and the height of the composite epoxy resin magnetic self-polymerizing slurry attracted was also different, presenting a curve with high and low fluctuations.

[0017] Step 3: Based on the ten standard joint contour lines, adjust the magnetic force of each column of controllable small electromagnets in the magnetic micro-unit control board to simulate the corresponding JRC value of each joint contour line, thereby obtaining the correspondence between JRC value, magnetic force, and joint contour line under the same opening degree.

[0018] Step 4: Write the magnetic force magnitude and corresponding opening value corresponding to the different joint contours simulated in each column into the magnetic field control servo system in a programming manner. Connect each column in parallel into a row. By inputting the corresponding JRC value into the magnetic field control servo system, adjust the magnetic field strength of each controllable small electromagnet in the magnetic micro-unit control board to obtain the corresponding roughness surface.

[0019] Step 5: Seepage test:

[0020] Step 5.1: Debug the equipment, adjust the lifting screws, and set the opening between the magnetic micro-unit control board and the transparent grid plate;

[0021] Step 5.2: Set the magnetic force of the controllable miniature electromagnet and adjust the surface roughness.

[0022] Step 5.3: Use a temperature-controlled heater to heat the water to a certain temperature and then open the water pipe valve;

[0023] Step 5.4, set the osmotic pressure value;

[0024] Step 5.5: Monitor the water flow trajectory using a fiber Bragg grating temperature sensor and a fiber Bragg grating flow velocity sensor;

[0025] Step 5.6: Record the experimental data and plot the seepage traces.

[0026] Step 6: Conduct a corresponding seepage analysis.

[0027] Step 6 specifically includes the following steps:

[0028] Step 6.1: Based on the concept of finite element method, the roughness crack surface simulated by the device is divided into several elements, each with an area of ​​A. Using MALTAB software, the crack trace coordinates in each element area are fitted to the roughness surface to obtain the function z(x,y).

[0029] Step 6.2: The JRC value is used to characterize the flow path roughness of the fracture. Each element corresponds to a roughness value. The JRC value of the fracture corresponding to each element is calculated using empirical formulas (1) and (2):

[0030]

[0031] JRC = 32.69 + 32.98lgS dq (2)

[0032] In the formula: A is the element area; z(x,y) is the element roughness surface function; S dq The root mean square of the slope of the element;

[0033] Step 6.3: After calculating the roughness value, use COMSOL software to calculate the roughness cloud map of the fracture surface, and use drawing software to create a finite element mesh cloud map with roughness values ​​on the roughness cloud map of the fracture surface.

[0034] Step 6.4: Overlay the flow diffusion trajectory diagram of the water monitored by the fiber Bragg grating temperature sensor and the fiber Bragg grating flow velocity sensor with the finite element mesh diagram to quantitatively analyze the relationship between the seepage area and the roughness, and study the spatiotemporal distribution law of slurry diffusion.

[0035] The present invention has the following beneficial effects:

[0036] 1. The side panel of this invention is made of tempered glass, which has high impact resistance and bending strength, and also enables visualization of the experimental device, making it easy to observe the experiment.

[0037] 2. The magnetic epoxy resin filling at the connection between the magnetic micro-unit control board and the side plate ensures the airtightness of the device, preventing water from seeping out from the edge of the magnetic micro-unit control board during the filling process. Furthermore, the device's robustness can be enhanced by controlling the magnetic force at the edge of the magnetic micro-unit control board.

[0038] 3. The composite epoxy resin magnetic self-polymerizing slurry of the present invention has good flowability and magnetism, which enables it to form regular undulating shapes in a magnetic field environment according to the strength of the magnetic field and the direction of the magnetic field lines. It is an ideal material for simulating joint surfaces with different roughness.

[0039] 4. The specially formulated composite epoxy resin magnetic self-polymerizing slurry in the acrylic board of the present invention, which does not contain a curing agent, will not solidify and has strong hydrophobicity, thus having an underwater anti-dispersion effect. It can repeatedly simulate different crack roughnesses, making it convenient to study different crack roughnesses.

[0040] 5. This invention can adjust the size of the micro-units on the magnetic micro-unit control board according to the precision required by the project. Based on the mathematical differential theory, the simulated crack roughness can theoretically approach the actual crack roughness infinitely.

[0041] 6. The present invention can control the opening between the two plates by tightening or loosening the antimagnetic screw rods installed at the four corners, thereby simulating different crack openings.

[0042] 7. This invention utilizes fiber optic temperature sensors and fiber optic flow velocity sensors to monitor the water flow in the magnetic epoxy resin fissures after simulated water inrush. The monitored data can be displayed intuitively on the screen of the servo control system, thereby obtaining the flow path of the water inrush under the fissure roughness, which facilitates subsequent analysis and processing.

[0043] 8. This invention provides a novel visualization data monitoring technology to reflect the diffusion process of dynamic water grouting, and to change the rock roughness in real time without time constraints, saving a lot of working time.

[0044] 9. Based on the concept of finite element method, this invention divides the roughness fracture surface simulated by the device into several elements. The JRC value of the fracture corresponding to each element is calculated using the empirical formula proposed by Tse. The roughness cloud map of the fracture surface is calculated using COMSOL software. Then, the flow diffusion trajectory map of the water monitored by the fiber optic temperature sensor and the fiber optic flow velocity sensor is superimposed with the finite element mesh map to quantitatively analyze the relationship between the seepage area and the roughness, and to study the spatiotemporal distribution law of slurry diffusion in real time. This provides a feasible quantitative analysis method for studying the relationship between the seepage area and the roughness of invisible rock fractures. Attached Figure Description

[0045] The present invention will be further described below with reference to the accompanying drawings and embodiments.

[0046] Fig. 1 A schematic diagram of the overall device of the present invention.

[0047] Fig. 2 A schematic diagram of the electromagnet adsorption of composite epoxy resin magnetic self-polymerizing slurry according to the present invention.

[0048] Fig. 3 This invention presents a schematic diagram of the superimposed fracture surface roughness (JRC) and seepage diagram.

[0049] In the diagram: 1. Magnetic field control servo system; 2. Magnetic micro-unit control board; 3. Fiber optic grating temperature sensor; 4. Transparent grid plate; 5. Temperature controllable heater; 6. Adjustable pressure water pump; 7. Fiber optic grating flow rate sensor; 8. Lifting screw; 9. Water inlet; 10. Water outlet; 11. Flow sensor; 12. Composite epoxy resin magnetic self-polymerizing slurry; 13. Controllable small electromagnet; 14. Water storage bottle. Detailed Implementation

[0050] The embodiments of the present invention will be further described below with reference to the accompanying drawings.

[0051] Example 1:

[0052] See Figs. 1-3A device for real-time dynamic simulation of fracture roughness based on the finite element method is disclosed. It includes a transparent empty box composed of a transparent mesh plate 4, inside which a composite epoxy resin magnetic self-polymerizing slurry 12 is placed. Symmetrically arranged magnetic micro-unit control boards 2 are disposed inside the transparent empty box, and these boards are connected to a magnetic field control servo system 1 for controlling the magnetic field magnitude via signal lines. Multiple sets of fiber optic flow velocity sensors 7 and fiber optic temperature sensors 3 are disposed inside the transparent empty box. Water inlets 9 and outlets 10 are respectively disposed on both sides of the transparent mesh plate 4, with the water inlets 9 connected to a water supply system. This device can be used to study the effects of the coupled effects of different roughness, different fracture aperture, and different fracture water pressure on fracture seepage and head loss. In the specific simulation process, the magnetic force of the magnet is controlled by the magnetic field control servo system 1, so that the composite epoxy resin magnetic self-polymerizing grout 12 is distributed according to the JRC value to simulate the crack roughness. Then, the flow path of the simulated water inrush is scanned by the thermal imager, so as to achieve real-time dynamic simulation of crack roughness. It can also quantitatively analyze the relationship between seepage area and roughness under different crack openings and different grouting pressures.

[0053] Furthermore, the transparent mesh plate 4 is made of transparent acrylic sheet with magnetic shielding properties; and the magnetic micro-unit control board 2 is arranged parallel to the transparent mesh plate 4, with lifting screws 8 at the four corners, and the two sides are enclosed with transparent acrylic sheets. By using the above materials, excellent anti-magnetic ability is achieved, preventing the influence of external magnetic fields.

[0054] Furthermore, the magnetic micro-unit control board 2 is composed of multiple controllable small electromagnets 13, and the magnetic force of each controllable small electromagnet 13 is adjusted by the magnetic field control servo system 1. The magnetic field control servo system 1 can convert the JRC value input from the console into corresponding magnetic force values ​​for different regions, causing the composite epoxy resin magnetic self-polymerizing slurry 12 to be distributed according to the magnetic force, thereby simulating different roughness states. The JRC value is the joint roughness coefficient. By employing the above control system, different roughness states can be simulated as needed. In the specific simulation process, the magnetic force of the controllable small electromagnets 13 in the magnetic micro-unit control board 2 is controlled by the magnetic field control servo system 1.

[0055] Furthermore, the water supply system includes an adjustable pressure water pump 6, which is connected to a water storage bottle 14 via a connecting pipe. The outlet of the water storage bottle 14 is connected to an inlet 9 via an outlet pipe, and a flow sensor 11 is installed on the outlet pipe. A temperature-controlled heater 5 is installed inside the water storage bottle 14, and a pressure gauge and valve are located on the upper part of the bottle. The temperature-controlled heater 5 heats the water in the water storage bottle 14 to the required temperature, allowing the fiber optic temperature sensor 3 and the fiber optic flow velocity sensor 7 to monitor the seepage process of the water in the fissure. This water supply system can supply seepage water during the experiment and can adjust the water temperature as needed to meet the experimental requirements.

[0056] Furthermore, the composite epoxy resin magnetic self-polymerizing slurry (12) is composed of epoxy resin without curing agent, iron powder, fly ash, anti-settling and anti-sagging agent and iron powder dispersant. The proportions of the slurry are adjusted according to the required slurry ratio so that the slurry can take into account the fluidity, magnetism and hydrophobicity of the composite epoxy resin magnetic self-polymerizing slurry.

[0057] Furthermore, the composite epoxy resin magnetic self-polymerizing slurry (12) is composed of the following components by mass ratio: 36% to 38% epoxy resin, 50% to 52% iron powder, 6% to 7% fly ash, 1% to 1.5% anti-settling and anti-sagging agent, and 1% to 1.5% iron powder dispersant; the stirring speed is 1000 to 2000 rpm, and the stirring time is 5 to 8 minutes.

[0058] Preferably, the iron powder is iron(III) oxide powder.

[0059] Furthermore, the lifting screw 8 is made of copper material with a certain degree of antimagnetism. The nut tube is pre-embedded in the four corners of the magnetic micro-unit control board 2 and the transparent grid plate 4. The opening between the two magnetic micro-unit control boards 2 is controlled by tightening and loosening the nut, thereby simulating different crack openings.

[0060] Example 2:

[0061] A device based on the finite element method is used to simulate the roughness of cracks in real time and to perform a corresponding seepage analysis. The magnetic micro-unit control board 2 of the magnetic field control servo system 1 and the composite epoxy resin magnetic self-polymerizing slurry 12 are used to simulate the required roughness and opening. Then, the water is heated to a certain temperature by the temperature-controllable heater 5 to conduct a crack seepage simulation experiment. Finally, the flow path of the water in the crack is monitored by the fiber optic temperature sensor 3 and the fiber optic flow velocity sensor 7 for analysis.

[0062] Example 3:

[0063] A method for analyzing seepage flow using a device for real-time dynamic simulation of crack roughness based on the finite element method includes the following steps:

[0064] Step 1: Take the controllable small electromagnet 13 of a single magnetic micro-unit control board 2 and a transparent empty box containing composite epoxy resin magnetic self-polymerizing slurry 12, and conduct magnetic adsorption tests of composite epoxy resin magnetic self-polymerizing slurry 12 at different heights and with different magnetic forces. Determine the height at which the composite epoxy resin magnetic self-polymerizing slurry 12 is attracted at different heights and with different magnetic forces. The height and magnetic force of the controllable small electromagnet 13 and the transparent grid plate 4 are determined according to specific needs.

[0065] Step 2: Based on the data obtained from the experiment in Step 1, a series of tests were conducted on the adsorption of composite epoxy resin magnetic self-polymerizing slurry 12 by a series of controllable small electromagnets 13. The magnetic field strength of each controllable small electromagnet 13 was different, and the height of the composite epoxy resin magnetic self-polymerizing slurry 12 attracted was also different, presenting a curve with high and low fluctuations.

[0066] Step 3: Based on the ten standard joint contour lines, adjust the magnetic force of each column of controllable small electromagnets 13 in the magnetic micro-unit control board 2 to simulate the corresponding JRC value of each joint contour line, thereby obtaining the correspondence between JRC value, magnetic force, and joint contour line under the same opening degree.

[0067] Step 4: Write the magnetic force magnitude and corresponding opening value corresponding to the different joint contour lines simulated in each column into the magnetic field control servo system 1 in a programming manner, connect each column in parallel into a row, and adjust the magnetic field strength of each controllable small electromagnet 13 in the magnetic micro-unit control board 2 by inputting the corresponding JRC value into the magnetic field control servo system 1, thereby obtaining the corresponding roughness surface.

[0068] Step 5: Seepage test:

[0069] Step 5.1, debug the equipment, adjust the lifting screw 8, and set the opening between the magnetic micro-unit control board 2 and the transparent grid plate 4;

[0070] Step 5.2: Set the magnetic force of the controllable miniature electromagnet 13 and adjust the roughness surface;

[0071] Step 5.3: Use the temperature-controllable heater 5 to heat the water to a certain temperature, and then open the water pipe valve;

[0072] Step 5.4, set the osmotic pressure value;

[0073] Step 5.5: Monitor the water flow trajectory using fiber optic temperature sensor 3 and fiber optic flow velocity sensor 7;

[0074] Step 5.6: Record the experimental data and plot the seepage traces.

[0075] Step 6: Conduct a corresponding seepage analysis:

[0076] Step 6 specifically includes the following steps:

[0077] Step 6.1: Based on the concept of finite element method, the roughness crack surface simulated by the device is divided into several elements, each with an area of ​​A. Using MALTAB software, the crack trace coordinates in each element area are fitted to the roughness surface to obtain the function z(x,y).

[0078] Step 6.2: The JRC value is used to characterize the flow path roughness of the fracture. Each element corresponds to a roughness value. The JRC value of the fracture corresponding to each element is calculated using empirical formulas (1) and (2):

[0079]

[0080] JRC = 32.69 + 32.98lgS dq (2)

[0081] In the formula: A is the element area; z(x,y) is the element roughness surface function; S dq The root mean square of the slope of the element;

[0082] Step 6.3: After calculating the roughness value, use COMSOL software to calculate the roughness cloud map of the fracture surface, and use drawing software to create a finite element mesh cloud map with roughness values ​​on the roughness cloud map of the fracture surface.

[0083] Step 6.4: Overlay the flow diffusion trajectory diagram of the water monitored by the fiber Bragg grating temperature sensor 3 and the fiber Bragg grating flow velocity sensor 7 with the finite element mesh diagram to quantitatively analyze the relationship between the seepage area and the roughness, and study the spatiotemporal distribution law of slurry diffusion.

[0084] Furthermore, the ten standard joint contour lines in step 3 are based on the ten standard joint contour lines given by foreign scholar Barton and the International Society for Rock Mechanics.

[0085] Furthermore, the drawing software used in step 6.3 is PS or CAD.

[0086] The principle of this invention is as follows:

[0087] By utilizing electromagnetic fields of varying magnetic strengths to create strong adsorption on uncured composite epoxy resin magnetic self-polymerizing slurry, the slurry transitions from a fluid state to a semi-solid state under magnetic field strength. Furthermore, under the action of electromagnets with varying unit magnetic strengths, the slurry exhibits a regularly undulating shape, thus simulating the ten standard fracture joint contours provided by the International Society for Rock Mechanics in real time. By quantitatively controlling the current intensity of the electromagnetic field, a quantitative relationship is established between the unevenness and roughness of the composite epoxy resin magnetic self-polymerizing slurry in a specific magnetic field, achieving quantitative simulation of natural rock fractures. The purpose of roughness analysis is to divide the simulated roughness fracture surface into several elements based on the finite element method. The JRC value of each element is calculated using the empirical formula proposed by Tse. The roughness cloud map of the fracture surface is calculated using COMSOL software. A finite element mesh cloud map with roughness values ​​is then created on the roughness cloud map using drawing software. The flow diffusion trajectory map of the water monitored by the fiber optic temperature sensor and the fiber optic flow velocity sensor is then superimposed on the finite element mesh map to quantitatively analyze the relationship between the seepage area and the roughness, and to study the spatiotemporal distribution law of slurry diffusion in real time.

[0088] The advantages of this invention are that it provides a novel visualization data monitoring technology to reflect the diffusion process of dynamic water grouting, and it can arbitrarily change the rock roughness in real time without being limited by time, saving a lot of test time. It also provides a feasible quantitative analysis method for studying the relationship between the seepage area of ​​invisible rock fissures and roughness.

Claims

1. A device for real-time dynamic simulation of crack roughness based on the finite element method, characterized in that, It includes a transparent empty box made of a transparent mesh plate (4), the inside of which is filled with composite epoxy resin magnetic self-polymerizing slurry (12); the inside of the transparent empty box is provided with symmetrically arranged magnetic micro-unit control boards (2), the magnetic micro-unit control boards (2) are connected to a magnetic field control servo system (1) for magnetic field magnitude via signal lines; the inside of the transparent empty box is provided with multiple sets of fiber optic flow velocity sensors (7) and fiber optic temperature sensors (3); the two sides of the transparent mesh plate (4) are respectively provided with water inlets (9) and water outlets (10), the water inlets (9) are connected to the water supply system; The magnetic micro-unit control board (2) is composed of multiple controllable small electromagnets (13), and the magnetic force of each controllable small electromagnet (13) is adjusted by the magnetic field control servo system (1); and the magnetic field control servo system (1) can convert the JRC value input from the console into the corresponding magnetic force value of different regions, so that the composite epoxy resin magnetic self-polymerizing slurry (12) is distributed according to the magnetic force, thereby simulating different roughness states; the JRC value is the joint roughness coefficient; The composite epoxy resin magnetic self-polymerizing slurry (12) is composed of epoxy resin without curing agent, iron powder, fly ash, anti-settling and anti-sagging agent and iron powder dispersant. The proportion of the slurry is adjusted according to the needs of the slurry so that the slurry can take into account the fluidity, magnetism and hydrophobicity of the composite epoxy resin magnetic self-polymerizing slurry.

2. The device for real-time dynamic simulation of crack roughness based on the finite element method as described in claim 1, characterized in that, The transparent mesh plate (4) is made of transparent acrylic sheet with magnetic shielding properties; and the magnetic micro-unit control board (2) is arranged in parallel with the transparent mesh plate (4), with lifting screws (8) at the four corners, and the two sides are closed with transparent acrylic sheet.

3. The device for real-time dynamic simulation of crack roughness based on the finite element method as described in claim 1, characterized in that, The water supply system includes an adjustable pressure water pump (6), which is connected to a water storage bottle (14) via a connecting pipe; the outlet of the water storage bottle (14) is connected to the inlet (9) via an outlet pipe, and a flow sensor (11) is installed on the outlet pipe. The water storage bottle (14) is equipped with a temperature-controlled heater (5). The upper part of the water storage bottle (14) is equipped with a pressure gauge and a valve. The water in the water storage bottle (14) is heated to the required temperature by the temperature-controlled heater (5) so that the fiber optic temperature sensor (3) and the fiber optic flow velocity sensor (7) can monitor the seepage process of the water in the crack.

4. The device for real-time dynamic simulation of crack roughness based on the finite element method as described in claim 1, characterized in that, The composite epoxy resin magnetic self-polymerizing slurry (12) is composed of the following components by mass ratio: 36%~38% epoxy resin, 50%~52% iron powder, 6%~7% fly ash, 1%~1.5% anti-settling and anti-sagging agent, and 1%~1.5% iron powder dispersant; the stirring speed is 1000~2000 rpm, and the stirring time is 5-8 minutes.

5. The device for real-time dynamic simulation of crack roughness based on the finite element method as described in claim 2, characterized in that, The lifting screw (8) is made of copper material with a certain degree of antimagnetism. The nut tube is embedded in the four corners of the magnetic micro-unit control board (2) and the transparent grid plate (4). The opening between the two magnetic micro-unit control boards (2) is controlled by tightening and loosening the nut, thereby simulating different crack openings.

6. A method for performing seepage analysis using the device for real-time dynamic simulation of crack roughness based on the finite element method as described in any one of claims 1-5, characterized in that: After simulating the required roughness and opening using the magnetic micro-unit control board (2) of the magnetic field control servo system (1) and the composite epoxy resin magnetic self-polymerizing slurry (12), the water is heated to a certain temperature using a temperature-controllable heater (5) to conduct a crack seepage simulation experiment. Then, the flow path of the water in the crack is monitored using a fiber optic temperature sensor (3) and a fiber optic flow velocity sensor (7) for analysis.

7. A method for seepage analysis using the device for real-time dynamic simulation of crack roughness based on the finite element method as described in claim 6, characterized in that, Includes the following steps: Step 1: Take the controllable small electromagnet (13) of a single magnetic micro-unit control board (2) and a transparent empty box containing composite epoxy resin magnetic self-polymerizing slurry (12), and conduct magnetic adsorption tests of composite epoxy resin magnetic self-polymerizing slurry (12) at different heights and with different magnetic forces. Determine the height at which the composite epoxy resin magnetic self-polymerizing slurry (12) is attracted at different heights and with different magnetic forces. The height and magnetic force of the controllable small electromagnet (13) and the transparent grid plate (4) are determined according to specific needs. Step 2: Based on the data obtained from the experiment in Step 1, a series of controllable small electromagnets (13) were then used to adsorb composite epoxy resin magnetic self-polymerizing slurry (12). The magnetic field strength of each controllable small electromagnet (13) was different, and the height of the composite epoxy resin magnetic self-polymerizing slurry (12) attracted was also different, presenting a curve with high and low fluctuations. Step 3: Based on the ten standard joint contour lines, adjust the magnetic force of each column of controllable small electromagnets (13) in the magnetic micro-unit control board (2) to simulate the corresponding JRC value of each joint contour line, thereby obtaining the correspondence between JRC value, magnetic force, and joint contour line under the same opening degree. Step 4: Write the magnetic force magnitude and corresponding opening value corresponding to the different joint contour lines simulated in each column into the magnetic field control servo system (1) in a programming manner, connect each column in parallel into a row, and adjust the magnetic field strength of each controllable small electromagnet (13) in the magnetic micro-unit control board (2) by inputting the corresponding JRC value into the magnetic field control servo system (1) to obtain the corresponding roughness surface. Step 5: Seepage Test Step 5.1, debug the equipment, adjust the lifting screw (8), and set the opening of the magnetic micro-unit control board (2) and the transparent grid plate (4); Step 5.2: Set the magnetic force of the controllable small electromagnet (13) and adjust the roughness surface; Step 5.3: Use a temperature-controlled heater (5) to heat the water to a certain temperature and open the water pipe valve; Step 5.4, set the osmotic pressure value; Step 5.5: Use fiber optic temperature sensor (3) and fiber optic flow velocity sensor (7) to monitor the water flow trajectory; Step 5.6: Record the experimental data and plot the seepage traces; Step 6: Conduct a corresponding seepage analysis.

8. A method for analyzing seepage flow using the device for real-time dynamic simulation of crack roughness based on the finite element method as described in claim 7, characterized in that... Step 6 specifically includes the following steps: Step 6.1: Based on the finite element method, the roughness crack surface simulated by the device is divided into several elements, each element having an area of... A Using MALTAB software, the coordinates of the crack traces in each unit area were fitted with a roughness surface to obtain the function. ; Step 6.2: The JRC value is used to characterize the flow path roughness of the fracture. Each element corresponds to a roughness value. The JRC value of the fracture corresponding to each element is calculated using empirical formulas (1) and (2): = (1) (2) In the formula: A For unit area; For element roughness surface function; The root mean square of the slope of the element; Step 6.3: After calculating the roughness value, use COMSOL software to calculate the roughness cloud map of the fracture surface, and use drawing software to create a finite element mesh cloud map with roughness values ​​on the roughness cloud map of the fracture surface. Step 6.4: Overlay the flow diffusion trajectory diagram of the water monitored by the fiber optic temperature sensor (3) and the fiber optic flow velocity sensor (7) with the finite element mesh diagram, and then quantitatively analyze the relationship between the seepage area and the roughness to study the spatiotemporal distribution law of slurry diffusion.

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