A simulation model box and simulation method for exploring internal hidden dangers of a dike project

Abstract

This invention discloses a simulation model box and simulation method for detecting internal hidden dangers in dike engineering. The model box includes an inlet tank, a soil tank, and an outlet tank connected in sequence. A permeable mesh framework and a filter cloth meeting pore size and permeability constraints are respectively installed on the inlet and outlet sides. Combined with an automatic water intake device, a retractable water level monitoring component, a gate opening and closing mechanism, a vertically adjustable overflow outlet, and a drainage metering component, a controllable hydraulic gradient and a stable seepage boundary are formed. The simulation method includes soil parameter determination, adjustment of the physical property differences of the hidden danger body, coordinate pre-embedding, working condition restoration, steady-state determination, detection, and excavation verification. This invention can construct a standard body of internal hidden dangers in dikes with known coordinates, dimensions, and physical property parameters, providing a repeatable and quantifiable calibration test platform for detection equipment such as ground-penetrating radar, high-density electrical resistivity tomography, and surface wave detection.

Description

Technical Field

[0001] This invention relates to the field of hidden danger detection technology in water conservancy engineering and geotechnical engineering, specifically to a simulation model box and simulation method for internal hidden dangers in dike engineering used for detection experiments. Background Technology

[0002] Dikes are constantly affected by factors such as water level fluctuations, seepage, rainfall, traffic loads, and animal activities, making them prone to hidden defects such as cavities, weak interlayers, cracks, and concentrated seepage channels. These hidden dangers are usually located inside the dike body or foundation and are difficult to identify from the outside in a timely manner, making them important causes of seepage damage, local collapse, and even dike failure.

[0003] Existing dike model testing devices are mostly designed to observe piping, seepage failure, phreatic line evolution, or dike slope stability processes. They typically include structures such as an inflow zone, a soil model zone, an outflow zone, a transparent observation surface, water level control components, and an overflow outlet. These devices can simulate hydraulic conditions and failure development processes relatively well, but their core focus is on "reproducing failure phenomena" rather than "calibrating detection equipment."

[0004] For the calibration of dike hazard detection equipment, it is necessary to construct a standard hazard body with known coordinates, known dimensions, known differences in physical properties, and repeatability. If the hazard is simply excavated manually in a regular model box or buried layer by layer, it is easy to cause disturbance to the surrounding soil, deviation of the actual coordinates of the hazard, drift of the physical property parameters of the hazard body, and instability of the seepage boundary, which in turn makes it impossible to quantitatively compare the detection results with the actual hazard parameters.

[0005] Furthermore, existing model chambers often use "reaching a stable state" as a prerequisite for testing, but they do not specify the thresholds for water level, seepage flow, saturation, etc., nor do they define the relationship between the filter boundary and the soil particle size distribution. If the pore size of the filter cloth is too large, the migration of soil particles with seepage will change the surrounding structure of the potential hazard; if the permeability of the filter cloth is insufficient, it will form a non-uniform infiltration boundary, affecting the consistency of electromagnetic wave, resistivity, or elastic wave response.

[0006] Therefore, there is a need to provide a simulation model box and simulation method for internal hidden dangers of dikes for detection tests, so that the model box structure, the control of the physical properties of the hidden danger, the back filter boundary constraints, the steady state judgment algorithm and the excavation verification evaluation form a technical system that complements each other, so as to solve the problem that the existing model boxes are difficult to use for the standardization and calibration of detection equipment. Summary of the Invention

[0007] To address the aforementioned problems, this invention provides a simulation model box and simulation method for detecting internal hidden dangers in dike engineering, which solves the problems of existing model boxes being unable to accurately lay out existing hidden dangers, being unable to control the differences in physical properties between the hidden danger body and the surrounding soil, being unable to form a stable and verifiable seepage condition, and being unable to quantitatively verify the detection results.

[0008] The present invention provides a simulation model box for internal hidden dangers in dike engineering for detection and testing, which includes a box assembly, a working condition control system, a boundary control component, a detection adaptation structure, and a hidden danger body parameter control component.

[0009] The test chamber assembly includes a water inlet tank, a soil tank, and a water outlet tank that are sealed and connected to each other in a horizontal direction. A vertical partition wall with a flow outlet is set between the water inlet tank and the soil tank, and a water-permeable partition is set between the soil tank and the water outlet tank, thereby forming a test space in which the upstream water level, soil seepage and downstream water level can be controlled separately.

[0010] The operating condition control system includes an automatic water intake device, a retractable water level monitoring component, a gate opening and closing mechanism, and a drainage metering component. The automatic water intake device is used to maintain a constant water head in the intake tank; the retractable water level monitoring component is used to collect upstream water level data. and downstream water level The gate opening and closing mechanism regulates the infiltration process by controlling the opening degree of the water-blocking gate; the drainage metering component is used to record the infiltration flow rate. The side wall of the water tank is equipped with a vertically adjustable overflow port.

[0011] The boundary control components include a first permeable mesh frame, a second permeable mesh frame, and a filter cloth. The first permeable mesh frame is positioned on the side of the retaining gate facing the soil tank and completely covers the filter cloth. The second permeable mesh frame is positioned at the permeable partition. The equivalent pore size of the filter cloth... and permeability coefficient According to soil characteristic particle size and permeability coefficient Choose, satisfy:

[0012] and ,

[0013] This achieves both particle retention and uniform infiltration.

[0014] The detection adapter structure includes a three-dimensional scale marker, a low electromagnetic interference transparent panel, and a detachable pre-embedded window. The three-dimensional scale marker is set on the outside of the transparent panel or embedded in the panel surface, and the horizontal, vertical, and longitudinal scales use the same coordinate reference. The center coordinates of the detachable pre-embedded window are the same as those of the three-dimensional scale marker. The window is equipped with a replaceable positioning limit frame, a flush sealing plate, and a sealing strip, so that the potential hazards can be laid out according to the coordinates during the layered filling of the soil, and the inner wall of the soil box is kept flat and sealed after the window is closed.

[0015] The hazard body parameter control component includes one or more hazard bodies. These hazard bodies can be voids formed by air pockets or rigid cavities, weak interlayers with adjustable water content or porosity, cracks with controlled thickness using soluble sheets or thin plates, or seepage channels formed by coarse sand or gravel filling. Before pre-embedding, the dielectric constant, resistivity, or wave velocity of the hazard body and the surrounding soil are measured, and the difference coefficient is used.

[0016] Determine the differences in physical properties, among which For the physical property parameters of the potential hazard, These are the physical properties of the surrounding soil.

[0017] The present invention also provides a simulation method, comprising the following steps:

[0018] S1: Complete the assembly, sealing and debugging of the model box and the calibration of the sensors;

[0019] S2: Determine the particle size distribution, permeability coefficient, moisture content and compaction parameters of the test soil and fill it in layers;

[0020] S3: Adjust the differences in physical properties of the hidden danger body according to the target detection method, and deploy the hidden danger body through the coordinate-based pre-embedded window;

[0021] S4: A set hydraulic gradient is formed by regulating water level and gates;

[0022] S5: Conduct a detection test after the steady-state determination threshold is met;

[0023] S6: Excavate and verify the true coordinates, dimensions, and physical property parameters of the potential hazard, and calculate the positioning error, dimension identification error, and physical property identification deviation.

[0024] The beneficial effects of this invention are:

[0025] 1. This invention sets the three-dimensional scale marking, the low electromagnetic interference transparent panel, and the detachable pre-embedded window as the same coordinate reference. The positioning limit frame in the pre-embedded window can limit the geometric boundary of the hidden danger body, and the flush sealing plate can restore the flat inner wall after pre-embedding. Therefore, it can improve the coordinate accuracy of the hidden danger and reduce the disturbance to the surrounding soil structure.

[0026] 2. This invention designs the potential hazard body as a standard body with adjustable physical properties, and uses the difference coefficient of dielectric constant, resistivity, or wave velocity. Constraints are imposed to create a known, adjustable, and verifiable difference in the detection response between the hazard body and the surrounding soil, thus avoiding unclear calibration values ​​due to relying solely on experience to bury hazards.

[0027] 3. This invention defines a reverse filter cloth. and This ensures that the seepage boundary can both retain soil particles and not significantly impede seepage, reducing the impact of soil particle migration, local scour, and non-uniform infiltration at the boundary on the detection results.

[0028] 4. This invention achieves coordinated control of automatic water intake, gate opening, downstream overflow and drainage metering, and introduces steady-state thresholds for upstream water level, downstream water level, seepage flow and saturation, thus transforming "reaching a steady state" into an executable, recordable and reproducible judgment condition.

[0029] 5. This invention uses a non-metallic frame and a low electromagnetic interference transparent panel to reduce the electromagnetic or elastic wave interference of the model box itself to ground-penetrating radar, high-density electrical resistivity tomography, transient surface wave and other detection equipment, thereby improving the reliability of the detection test data.

[0030] 6. After the detection test, the present invention verifies the coordinates, dimensions and physical properties of the hidden danger by excavating layer by layer, and calculates the positioning error and size identification error, forming a closed-loop evaluation process of "preset standard value - detection result - excavation true value", which is applicable to the performance calibration of different detection methods and equipment. Attached Figure Description

[0031] Figure 1 This is a schematic diagram of the overall structure of the model box of the present invention;

[0032] Figure 2 This is a schematic diagram of the coordinate-based embedded window and the low electromagnetic interference transparent panel of the present invention.

[0033] Figure 3 This is a schematic diagram illustrating the constraint relationship between the permeable mesh skeleton and the reverse filter cloth of the present invention;

[0034] Figure 4 This is a schematic diagram of the controllable physical property hidden danger body type of the present invention;

[0035] Figure 5 This is a flowchart of the hazard simulation and detection calibration method of the present invention.

[0036] Reference numerals: 1. Inlet tank; 2. Soil tank; 3. Outlet tank; 4. Vertically adjustable overflow outlet; 5. Vertical partition wall; 6. Flow outlet; 7. Permeable partition; 8. Automatic water inlet device; 9. Telescopic water level monitoring component; 10. Vertical telescopic sleeve; 11. Liquid level sensor; 12. Data acquisition module; 13. Gate opening and closing mechanism; 14. Water-blocking gate; 15. Opening and closing device; 16. Drainage metering component; 17. First permeable net frame; 18. Second permeable net frame; 19. Reverse filter cloth; 20. Three-dimensional scale marking; 21. Low electromagnetic interference transparent panel; 22. Demountable pre-embedded window; 23. Window frame; 24. Replaceable positioning limit frame; 25. Flush sealing plate; 26. Sealing strip; 27. Hazardous body; 28. Void hazardous body; 29. ​​Weak interlayer hazardous body; 30. Crack hazardous body; 31. Leakage channel hazardous body. Detailed Implementation

[0037] The present invention will be further illustrated below with reference to the accompanying drawings and specific embodiments. It should be understood that the following specific embodiments are for illustrative purposes only and are not intended to limit the scope of the invention. It should be noted that the terms "front," "rear," "left," "right," "up," and "down" used in the following description refer to directions in the accompanying drawings, and the terms "inner" and "outer" refer to directions toward or away from the geometric center of a specific component, respectively.

[0038] Example 1: Model Box Structure and Assembly

[0039] like Figure 1 As shown, the model box is formed by sequentially sealing and splicing a water inlet tank 1, a soil tank 2, and a water outlet tank 3. A vertical partition wall 5 is set between the water inlet tank 1 and the soil tank 2. An outlet 6 is opened on the vertical partition wall 5, and a water-blocking gate 14 is installed at the outlet 6. The water-blocking gate 14 is driven to rise and fall by an opening and closing device 15. A permeable partition 7 is set between the soil tank 2 and the water outlet tank 3, and a second permeable mesh frame 18 is set at the permeable partition 7.

[0040] The first permeable mesh frame 17 is fixed to the side of the water-retaining gate 14 facing the soil tank 2, and the outer side of the first permeable mesh frame 17 is completely covered with a reverse filter cloth 19. The reverse filter cloth 19 is selected according to the particle size distribution and permeability coefficient of the test soil. For example, when the soil... 0.35mm for At that time, you can choose 0.15mm for The reverse filter cloth satisfies O95≤1.8 and ≥10 Constraints.

[0041] like Figure 2As shown, a low-electromagnetic-interference transparent panel 21 is installed on the side wall of the soil tank 2. This panel is made of polymethyl methacrylate (PMMA) board with a thickness of 20 mm to reduce electromagnetic interference to detection equipment such as ground-penetrating radar and high-density electrical resistivity tomography. A three-dimensional scale mark 20 is set on the outer side of the transparent panel 21. The center coordinates of the detachable pre-embedded window 22 and the three-dimensional scale mark 20 use the same coordinate reference. A replaceable positioning limit frame 24 and a flush sealing plate 25 are installed inside the window. The outer perimeter of the window is sealed by a sealing strip 26. When pre-embedding the hidden danger body 27, the flush sealing plate 25 is opened and the positioning limit frame 24 corresponding to the size of the hidden danger body is installed. After the layout is completed, the flush sealing plate 25 is closed so that its inner side is flush with the inner wall of the soil tank.

[0042] An automatic water inlet device 8 is installed on the side wall of the inlet tank 1, and a retractable water level monitoring component 9 is installed on the top. A vertically adjustable overflow port 4 is provided on the side wall of the outlet tank 3, and a drainage metering component 16 is connected to the bottom or side. A data acquisition module 12 records the upstream water level. Downstream water level and seepage flow In order to calculate the hydraulic gradient ,in To determine the effective seepage path of the soil box and the stability of the working conditions.

[0043] Example 2: Calibration Test for Detection of Void Hazardous Bodies

[0044] This embodiment uses a soil test chamber 2 with a length of 1.80m, a width of 0.60m, and a height of 0.80m. The test soil is silty loam. Measurements were taken... mm Permeability coefficient Maximum dry density is The target compaction degree is 92%. The layered filling thickness is 80mm. After each layer is compacted, a ring sampler is used to test the dry density. The compaction degree deviation is controlled within ±3%.

[0045] Pre-embedded hidden danger body 27 adopts an ellipsoidal inflatable bladder to form a cavity hidden danger body 28, with the design center coordinates being... , , The major axis is 0.25m, and the minor axis is 0.12m. The dielectric constant of the surrounding soil was measured before embedding. With a resistivity of 16.5, The dielectric constant of the void-prone body 28 is 85 Ω·m. Approximately 1.1, resistivity Greater than 1000 Ω·m, dielectric constant difference coefficient greater than 0.90, resistivity difference coefficient greater than 10.

[0046] When the soil is filled to When the elevation is approximately 0.35m, open the detachable embedded window 22 corresponding to the design coordinates, install the positioning and limiting frame 24 corresponding to the shape of the inflatable bladder, place the cavity hazard body 28 into the position limited by the limiting frame, and backfill the gaps around the hazard body with homogeneous soil in layers. After sealing the flush sealing plate 25, continue filling to the design elevation.

[0047] When the operating condition is restored, adjust the automatic water inlet device 8 to adjust the upstream water level. =0.62m, adjust the vertically adjustable overflow outlet 4 to adjust the downstream water level =0.42m, effective seepage diameter of the soil box L=1.80m, then the target hydraulic gradient =0.11. The water-blocking gate 14 is opened gradually at a speed not exceeding 10 mm / min, so that the water can infiltrate evenly through the first permeable net frame 17, the filter cloth 19 and the soil model.

[0048] Steady-state determination was achieved by three consecutive samplings, each 10 minutes apart. If the changes in upstream and downstream water levels were both no greater than 2 mm, the relative change rate of seepage flow was no greater than 5%, and the change in saturation was no greater than 2%, then a stable operating condition was determined. After stabilization, ground-penetrating radar and high-density electrical resistivity tomography (EDT) lines were laid out using the three-dimensional scale marker 20 as a reference to collect detection data. After the test, the actual coordinates and dimensions of the hazard body 28 were verified by excavating layer by layer.

[0049] Compared with the comparative example that did not employ coordinate-based pre-embedded windows, back-filter constraints, and steady-state thresholds, the results of this embodiment are shown in the table below. This table contains a set of replaceable implementation parameters, which can be replaced with field or indoor measured data during actual application.

[0050] Pre-embedded method Detachable pre-embedded window + positioning limit frame + three-dimensional scale coordinates Ordinary transparent soil boxes are either manually trenched or buried based on experience in the soil layer. Hazard center coordinate deviation Excavation verification deviation approximately 8mm Excavation verification deviation is approximately 45mm Water level stability During the stable phase, the water level fluctuates by approximately ±1.5 mm. Water level fluctuation is approximately ±8mm seepage flow stability The coefficient of variation for seepage flow is approximately 2.8%. The coefficient of variation for seepage flow is approximately 12.6%. True value of physical properties ε, ρ, or v are measured and recorded before and after pre-embedding, and the deviation is controlled within 10%. The properties of the hazardous material are not specified, making it difficult to use them as true values ​​for detection.

[0051] Example 3: Simulation of Replacement of Multiple Types of Hazardous Entities

[0052] like Figure 4 As shown, based on the model box and method of Example 2, the cavity hazard body 28 can be replaced with the weak interlayer hazard body 29, the crack hazard body 30, or the leakage channel hazard body 31.

[0053] For the weak interlayer potential body 29, a thin standard body was made from soil with a similar particle composition to the surrounding soil but with higher water content and porosity, to reduce its wave velocity. Lower than the wave velocity of the surrounding soil or make its resistivity Lower than the resistivity of the surrounding soil Before pre-embedding, its moisture content, dry density, dielectric constant, resistivity, and wave velocity were measured, and the results were calculated according to the difference coefficient. Determine the target anomaly intensity.

[0054] For the crack-prone body 30, soluble sheets, thin sheets, or removable spacers can be used to control the crack thickness. And the inclination angle. If it is necessary to simulate the development of cracks under hydraulic action, the septum can be removed or the soluble plate can be dissolved after the steady seepage is reached, so that the cracks maintain the known initial geometric parameters.

[0055] For the potential leakage channel 31, strip-shaped channels can be constructed using coarse sand, gravelly sand, or graded sand to reduce the channel permeability coefficient. Greater than the permeability coefficient of the surrounding soil The channel geometry, centerline coordinates, and inclination angle are controlled by the three-dimensional scale marker 20 and the positioning limit frame 24. After the leakage channel is formed, the incremental leakage flow is recorded by the drainage metering component 16.

[0056] All the aforementioned different potential hazards can be identified using the same steady-state judgment conditions and excavation verification process, making the identification capabilities of different detection devices or the same device with different parameter settings comparable.

[0057] Example 4: Calculation of Detection Error

[0058] Positioning error: Assume the preset center coordinates of the potential hazard are... The coordinates of the excavation verification center are: The coordinates of the detection inversion center are The error in hazard placement can be calculated based on the three-dimensional distance between the preset coordinates and the excavation verification coordinates;

[0059] ;

[0060] The detection and positioning error can be calculated based on the three-dimensional distance between the detection inversion coordinates and the excavation verification coordinates; ;

[0061] Size recognition error: Let the preset feature size of the potential hazard be... If the excavation verification dimension is Dr and the detection and identification dimension is Dd, then the deviation in the hazard layout dimension can be calculated according to... The calculation shows that the detection size identification error can be calculated as follows: Calculations can be performed. For leakage channels, the deviation of the channel centerline, the deviation of the inclination angle, and the deviation of the seepage flow rate increment can be further calculated.

[0062] Through the above calculations, the detection test no longer only judges whether "anomalies can be seen", but can evaluate the accuracy of the detection equipment in identifying the location, size, physical property differences and hydraulic response of hidden dangers, so as to be used for equipment calibration, method comparison and parameter optimization.

[0063] The technical means disclosed in this invention are not limited to those disclosed in the above embodiments, but also include technical solutions composed of any combination of the above technical features.

Claims

1. A simulation model box for detecting hidden dangers inside a dike project, characterized in that, include: The tank assembly includes an inlet tank (1), a soil tank (2), and an outlet tank (3) that are sequentially sealed and connected in a horizontal direction and through which fluid flows; the operating condition control system includes an automatic water intake device (8), a water level monitoring component (9), a gate opening and closing mechanism (13) located between the inlet tank (1) and the soil tank (2), and a drainage metering component (16); the boundary control component includes a first permeable mesh frame (17), a second permeable mesh frame (18), and a filter cloth (19); the first permeable mesh frame (17) is located on the side of the gate opening and closing mechanism (13) facing the soil tank (2), and completely covers the filter cloth (19); the first permeable mesh frame (17) is located on the side of the gate opening and closing mechanism (13) facing the soil tank (2); the second permeable mesh frame (18) is located on the side of the gate opening and closing mechanism (13) facing the soil tank (2); the third permeable mesh frame (17) is located on the side of the gate opening and closing mechanism (13) facing the soil tank (2); the second permeable mesh frame (18) is located on the side of the gate opening and closing mechanism (13) facing the soil tank (2), and completely covers the filter cloth (19); the third permeable mesh frame (17 ... The permeable mesh frame (18) is located at the permeable partition (7) between the soil box (2) and the outlet box (3); the detection adapter structure includes a three-dimensional scale mark (20) on the side wall of the soil box (2), a low electromagnetic interference transparent panel (21) and a detachable pre-embedded window (22); the center coordinates of the pre-embedded window (22) and the three-dimensional scale mark (20) adopt the same coordinate reference; the hidden danger body parameter control component includes at least one hidden danger body (27) pre-embedded in the soil box (2); the spatial coordinates, geometric dimensions and at least one physical property parameter of the hidden danger body (27) such as dielectric constant, resistivity or wave velocity are known values ​​measured before pre-embedding.

2. The simulation model box for detecting hidden dangers inside a dike project as described in claim 1, characterized in that: The detachable pre-embedded window (22) includes a window frame (23), a replaceable positioning limit frame (24), and a flush sealing plate (25); the positioning limit frame (24) is used to limit the planar position and geometric boundary of the hidden danger body (27); the flush sealing plate (25) is closed after the hidden danger body is pre-embedded, and its inner side is flush with the inner wall of the low electromagnetic interference transparent panel (21) or the soil box (2).

3. The simulation model box for internal hidden dangers in dike engineering used for detection testing as described in claim 1, characterized in that: The equivalent pore size of the filter cloth (19) and permeability coefficient The characteristic particle size of the soil filling the soil box (2) and permeability coefficient The relationship satisfies: and .

4. The simulation model box for internal hidden dangers in dike engineering used for detection testing as described in claim 1, characterized in that: The water level monitoring component (9) is retractable, including a vertical telescopic sleeve (10) and a liquid level sensor (11); the side wall of the outlet tank (3) is provided with a vertically adjustable overflow port (4); the water level monitoring component (9) and the drainage metering component (16) jointly collect the upstream water level. Downstream water level and seepage flow It is used to calculate the hydraulic gradient and determine the steady-state condition.

5. A simulation model box for detecting hidden dangers inside a dike project as described in claim 1, characterized in that: The potential hazard (27) includes at least one of the following: a cavity potential hazard (28), a weak interlayer potential hazard (29), a crack potential hazard (30), or a leakage channel potential hazard (31); the physical properties of the potential hazard (27) are as follows: Physical parameters of the surrounding soil The coefficient of difference between them is: ； and ≥0.15, and after the operating conditions stabilize, The deviation from the measured value before pre-embedding is no more than 10%.

6. A method for simulating internal hidden dangers in dike engineering for detection testing, implemented using a model box for simulating internal hidden dangers in dike engineering for detection testing as described in any one of claims 1 to 5, characterized in that, Includes the following steps: S1: Assemble and debug the model box, and calibrate the sensor; S2: Measure the basic parameters of the test soil, and fill the soil model in layers in the soil box (2); S3: Select the type of hidden danger body according to the target detection method, and adjust and measure the geometric dimensions, spatial coordinates and physical properties of the hidden danger body (27); S4: Place the hidden danger body (27) at the preset coordinates through the detachable pre-embedded window (22) and the three-dimensional scale mark (20), and continue filling after closing the window; S5: Adjust the operating condition control system to form the set hydraulic gradient; S6: Confirm that the model has reached a stable operating condition based on the steady-state judgment conditions of water level, seepage flow and saturation. S7: Conduct a hazard detection test in the coordinate system defined by the three-dimensional scale mark (20). After the test, excavate layer by layer to verify the actual parameters of the hazard body (27) and calculate the detection error.

7. A method for simulating internal hidden dangers in dike engineering for detection testing according to claim 6, characterized in that, In step S2: the thickness of each layer of filling is no more than 100 mm, and the compaction deviation is no more than 3% of the target compaction; before installing the filter cloth (19), the characteristic particle size of the test soil is determined. and permeability coefficient Choose a reverse filter cloth that meets the following requirements: and .

8. A method for simulating internal hidden dangers in dike engineering for detection testing according to claim 6, characterized in that, In step S3: First, determine the dielectric constant of the surrounding soil. resistivity or wave speed Then, by adjusting the moisture content, porosity, filling material, or solution concentration of the hidden danger body (27), its physical property parameters can be adjusted. , or It exhibits known differences from the surrounding soil; at least one of its physical properties has a coefficient of difference. Satisfying 0.15≤ ≤5.

000.

9. A method for simulating internal hidden dangers in dike engineering for detection testing according to claim 6, characterized in that, The steady-state determination condition mentioned in step S6 is: continuous All samples satisfy: ; ; ; ;in The interval between two adjacent samplings is ≥10 min; These represent the upstream water level, downstream water level, seepage flow, and saturation, respectively.

10. A method for simulating internal hidden dangers in dike engineering for detection testing according to claim 6, characterized in that, In step S7: Positioning error Calculated based on the three-dimensional Euclidean distance between the detected inversion coordinates and the excavation verification coordinates; size identification error. Calculated based on the relative deviation between the detected and identified dimensions and the excavated verification dimensions, i.e.: 。

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