A kind of dynamic water environment lining grouting repair simulation device and simulation method

Abstract

The present application relates to the technical field of material physical property measurement, and particularly relates to a dynamic water environment lining grouting repair simulation device and a simulation method, the device comprising a main body model unit, a grouting system, a variable frequency pulsating loading assembly and a slurry loss dynamic monitoring assembly; the method comprising benchmark environment construction and calibration, initial dynamic water characteristic extraction, four-dimensional monitoring of the grouting process, loss amount inversion calculation and double-index comprehensive evaluation; the present application constructs a technology of "high-fidelity simulation of dynamic water working condition-digital inversion of loss process-double-dimension evaluation of repair efficiency", and solves the industry pain points of distortion of dynamic water grouting simulation and lack of evaluation means.

Description

Technical Field

[0001] This invention relates to the field of material physical property measurement technology, specifically to a simulation device and method for grouting repair of linings in dynamic water environments, and particularly to a two-dimensional quantitative evaluation of grouting sealing performance based on multi-physics field feature mapping and fluid dynamics system identification algorithm. Background Technology

[0002] With the rapid development of underground transportation infrastructure, tunnels and underground projects often face lining cracking and water leakage during operation. Grouting is currently the most important and effective means of treating these problems. Its core is to inject grout into the cracks and voids behind the lining, and achieve the dual purpose of water blocking and reinforcement through the solidification and hardening of the grout.

[0003] However, in actual engineering environments, groundwater flow fields are often in dynamic water conditions. Although existing technologies have made some progress in grouting material development and basic simulation tests, there are still limitations in grouting repair simulation under dynamic water conditions.

[0004] Most existing grouting simulation test devices are designed based on hydrostatic pressure or constant flow rate, which cannot reproduce pulsating water flow. Under actual dynamic water conditions, the grout is very easy to disperse and be lost, resulting in a low effective retention rate.

[0005] Current testing and evaluation systems primarily focus on post-grouting results (such as excavation observation and final seepage pressure testing), lacking real-time dynamic monitoring of the grouting process. Existing grouting effect evaluations typically employ only a single evaluation index, making it difficult to provide a refined classification of the quality of grouting techniques. Summary of the Invention

[0006] In order to solve the above-mentioned technical problems, the present invention provides a simulation device and method for grouting repair of lining in dynamic water environment, which can simulate complex time-varying hydraulic boundaries and comprehensively evaluate the repair performance.

[0007] This invention is achieved through the following technical solution:

[0008] A simulation device for grouting repair of lining in a dynamic water environment includes:

[0009] The main model unit has a test chamber inside, which is equipped with a water inlet, a water outlet and a grouting port. The test chamber contains a lining specimen to be tested, and the test specimen contains a simulated crack channel. A simulated lining gap is set between the test specimen and the test chamber.

[0010] The grouting system is connected to the simulated lining gap or the simulated crack channel;

[0011] A variable frequency pulsating loading component is connected to the water inlet of the test chamber; the variable frequency pulsating loading component is used to apply periodic pulsating water pressure to the test chamber to form a non-constant flow field;

[0012] A dynamic monitoring component for slurry loss is connected to the outlet of the test chamber; the dynamic monitoring component for slurry loss is used to collect turbidity data and flow rate data of the fluid flowing out from the outlet in real time.

[0013] Optionally, the main model unit includes: a pressure tank body, an upper pressure plate, and a lower pressure plate, wherein the upper pressure plate and the lower pressure plate are sealed to both ends of the pressure tank body;

[0014] Inside the pressure tank, a permeable plate and a test lining specimen are arranged sequentially along the water flow direction. The permeable plate is used to simulate seepage in the surrounding rock, and the simulated lining gap is a reserved gap between the permeable plate and the test lining specimen.

[0015] Optionally, the lining specimen to be tested includes two concrete specimens and a crack simulation gasket. The two concrete specimens are spliced ​​and fixed by fasteners, and the crack simulation gasket is located on the contact surface of the two concrete specimens, serving as a permeation channel for the model.

[0016] Optionally, the dynamic monitoring component for slurry loss includes a turbidity detection unit and an instantaneous flow rate monitoring unit connected in series on the effluent pipeline.

[0017] A simulation method for grouting repair of linings in dynamic water environments, based on the simulation device described above, includes the following steps:

[0018] Step S1: Construct a reference fluid environment in the test chamber, use the slurry loss dynamic monitoring component to measure the concentration characteristic physical parameters under different slurry concentrations, and establish a correlation mapping model between the concentration characteristic physical parameters and the slurry concentration;

[0019] Step S2: Activate the variable frequency pulsating loading component to apply a preset time-varying hydraulic boundary condition to the test chamber; in the un-grouted state, calculate the initial fluid dynamics transmission characteristics of the simulated fracture channel by monitoring the dynamic response of the outflow rate to the input water pressure.

[0020] Step S3: Start the grouting system to perform grouting repair, and maintain the time-varying hydraulic boundary conditions throughout the grouting operation;

[0021] Using the aforementioned grout loss dynamic monitoring component, the instantaneous flow rate and instantaneous concentration characteristics of the grout outlet on the grouting time axis are collected simultaneously to construct a four-dimensional monitoring dataset of the grouting process that includes the time dimension.

[0022] Step S4: Call the four-dimensional monitoring dataset and use the correlation mapping model to convert the instantaneous concentration characteristic physical parameters in the time series into instantaneous loss concentration; calculate the cumulative grout loss mass during the grouting process based on mass conservation.

[0023] Step S5: After the slurry solidifies, the time-varying hydraulic boundary conditions are applied again, and the final state fluid dynamic transport characteristics after repair are measured.

[0024] By combining the accumulated grout loss quality with the total grouting quality, a dual-index evaluation system is constructed, which includes the dimensions of material retention and sealing effectiveness, to comprehensively evaluate the grouting repair effect.

[0025] Optionally, the concentration characteristic physical parameter is selected from one or more of the following: fluid turbidity value, fluid conductivity value, fluid optical density value, or ultrasonic attenuation coefficient;

[0026] The correlation mapping model is a nonlinear function based on polynomial fitting or neural network regression.

[0027] Optionally, the method for obtaining the initial hydrodynamic transport characteristics of the simulated fracture channel includes the following steps:

[0028] Step S21: Activate the variable frequency pulsating loading component to generate the foundation hydrostatic pressure. Synthetic time-varying hydraulic boundary conditions composed of multi-frequency sinusoidal pulsating components : ,in, For the first Pressure amplitude of each frequency component Angular frequency, For the initial phase, This represents the total number of frequency components.

[0029] Step S22: Using sampling frequency Synchronous acquisition of effluent flow response and input pressure Obtain discrete time series dataset ,in , This represents the number of sampling points;

[0030] Step S23: Based on the principles of fluid dynamics, construct the unsteady flow differential equations describing the dynamic characteristics of the simulated fracture channel: ,in, The hydraulic resistivity, The fluid inertia coefficient, For residual terms;

[0031] Step S24: Using the discrete time series dataset, solve the parameters of the unsteady flow differential equation using the recursive least squares method, so that the objective function... Minimize: The initial hydraulic resistivity of the lining specimen to be tested was calculated. ;

[0032] Step S25: Set the initial hydraulic resistivity coefficient Defined as an initial fluid dynamics transport characteristic index.

[0033] Optionally, the method for obtaining the cumulative grout loss quality during the grouting process includes the following steps:

[0034] Step S41: Time-align the four-dimensional monitoring dataset and use a moving average filtering algorithm to process the instantaneous flow sequence. and instantaneous concentration characteristic physical parameter sequence Smoothing is performed to obtain the preprocessed discrete sequence. and ,in The sampling point number;

[0035] Step S42: Utilize the correlation mapping model The preprocessed feature physical parameter sequence Converted to net loss concentration sequence : ,in, This is the baseline value for the background fluid concentration before grouting;

[0036] Calculate the instantaneous slurry loss mass flux at each sampling time. : ;

[0037] Step S43: Calculate the cumulative slurry loss mass based on the numerical integral trapezoidal rule. : ,in, This represents the total number of sampling points during the grouting process. The unit time interval for data sampling. The grouting start time, This is the time when grouting ends.

[0038] Optionally, methods for constructing a dual-indicator evaluation system include:

[0039] Based on the cumulative slurry loss mass and known total grouting quality Calculate the material retention index of grouting repair. : ;

[0040] After the grout solidifies, step S2 is executed again to calculate the final hydraulic resistivity after repair using the recursive least squares method. Calculate the sealing efficiency index of grouting repair. : .

[0041] Optionally, the steps for comprehensively evaluating the grouting repair effect include:

[0042] Calculate the comprehensive evaluation score of the repair effect of dynamic water grouting. : ,in, and These are the corresponding weighting coefficients;

[0043] Set blocking effectiveness threshold and comprehensive evaluation threshold ,like and The grouting repair was deemed satisfactory.

[0044] Compared with the prior art, the present invention has the following features and beneficial effects:

[0045] This invention introduces a variable frequency pulsating loading component at the inlet end of the main model unit and configures a dynamic monitoring component for slurry loss at the outlet end. By establishing a mapping model of concentration characteristic physical parameters, the invention uses four-dimensional monitoring data to perform slurry loss inversion based on mass conservation, and combines it with hydrodynamic impedance analysis based on fluid dynamics system identification to construct a two-dimensional evaluation system that includes material retention and sealing effectiveness.

[0046] This invention, by setting a variable frequency pulsating loading component at the water inlet of the main model unit, can apply periodic pulsating water pressure or transient impact water pressure with adjustable frequency and amplitude to the test chamber, thereby realistically reproducing the non-constant flow field environment and improving the engineering reproduction of the indoor simulation test.

[0047] This invention uses a dynamic monitoring component for grout loss to monitor the grout loss behavior during grouting and calculate the cumulative loss mass and material retention rate of grout in a dynamic water environment. By constructing a dual-index evaluation system that includes both material retention and sealing efficiency dimensions, it avoids the one-sidedness of evaluation based on a single index.

[0048] In summary, this invention constructs a technology of "high-fidelity simulation of dynamic water conditions - digital inversion of the loss process - dual-dimensional evaluation of repair effectiveness", which solves the industry pain points of distortion in dynamic water grouting simulation and lack of evaluation methods. Attached Figure Description

[0049] The accompanying drawings illustrate exemplary embodiments of the present invention and, together with the description thereof, serve to explain the principles of the invention. These drawings are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, but do not constitute a limitation on the embodiments of the present invention.

[0050] Figure 1 This is a schematic diagram of a simulated device for grouting repair of lining in a dynamic water environment according to the present invention.

[0051] Figure 2 This is a schematic flowchart of a simulation method for grouting repair of lining in a dynamic water environment according to the present invention.

[0052] Figure labels: 1-Pressure tank body, 2-Upper pressure plate, 3-Lower pressure plate, 4-Test lining specimen, 41-Concrete specimen, 42-Crack simulation gasket, 5-Variable frequency pulsating loading assembly, 6-Grouting loss dynamic monitoring assembly. Detailed Implementation

[0053] To make the objectives, technical solutions, and advantages of this invention clearer, 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 for illustrative purposes only and are not intended to limit the scope of the invention.

[0054] It should also be noted that, for ease of description, only the parts relevant to the present invention are shown in the accompanying drawings.

[0055] Where there is no conflict, the embodiments and features described herein can be combined with each other. The present invention will now be described in detail with reference to the accompanying drawings and embodiments.

[0056] Example 1

[0057] like Figure 1 As shown, this embodiment provides a simulation device for grouting repair of lining in a dynamic water environment, which aims to realistically reproduce the grouting repair process in a complex hydrodynamic environment in underground engineering. From the overall structure, it mainly includes four core modules: main model unit, grouting system, frequency conversion pulsating loading component 5, and grout loss dynamic monitoring component 6.

[0058] The main model unit contains a test chamber, providing a pressure-bearing space for simulation tests. The test chamber is equipped with a water inlet, a water outlet, and a grouting port for connecting external power, monitoring, and grouting equipment. The test chamber contains a lining specimen 4 to be tested. The lining specimen 4 contains simulated crack channels (to simulate through cracks within the lining itself), and a simulated lining gap (to simulate voids or loose areas behind the lining) is provided between the lining specimen 4 and the test chamber.

[0059] The grouting system is connected to the grouting port on the test chamber via pipelines, thereby communicating with the simulated lining gap or the simulated crack channel; the function of the grouting system is to pump the repair material (grout) into the above-mentioned area to perform the grouting and sealing operation.

[0060] To simulate the dynamic characteristics of groundwater, the variable frequency pulsating loading component 5 is connected to the water inlet of the test chamber; the variable frequency pulsating loading component 5 is used to apply periodic pulsating water pressure to the test chamber to form a non-constant flow field, thereby making the test conditions closer to engineering reality.

[0061] To quantify the grout loss during the grouting process, the grout loss dynamic monitoring component 6 is connected to the outlet of the test chamber. The grout loss dynamic monitoring component 6 is used to collect turbidity data and flow rate data of the fluid flowing out from the outlet in real time. The turbidity data reflects the concentration of grout particles in the outflowing liquid, while the flow rate data reflects the scouring speed and total volume of the water flow.

[0062] The working logic of this embodiment is as follows: First, the variable frequency pulsating loading component 5 applies periodic pulsating water flow to the main model unit through the water inlet to create a non-constant flow field environment in the simulated crack channel and simulated lining gap; then, the grouting system is started to perform grouting repair; during this process, the grout loss dynamic monitoring component 6 continuously monitors the turbidity and flow rate of the fluid at the water outlet.

[0063] Example 2

[0064] This embodiment further refines the structure in Embodiment 1.

[0065] The main model unit includes: a pressure tank 1, an upper pressure plate 2, and a lower pressure plate 3. The upper pressure plate 2 and the lower pressure plate 3 are sealed to both ends of the pressure tank 1. The upper pressure plate 2 and the lower pressure plate 3 are tightly fixed to both ends of the pressure tank 1 by means of bolts or flanges, and are sealed together with sealing rings to create a closed test environment that can withstand high water pressure. The pressure tank 1 can also be made into a transparent structure so that the simulation process can be observed by the human eye during the test.

[0066] Inside the pressure tank 1, a permeable plate and a test lining specimen 4 are arranged sequentially along the water flow direction (i.e. from the inlet end to the outlet end). The main material of the permeable plate is usually a porous medium material, which is used to simulate the seepage of the surrounding rock, so that the incoming water flow is more evenly dispersed and the process of groundwater seeping from the rock layer into the lining is reproduced.

[0067] The simulated lining gap is the reserved gap between the permeable plate and the lining specimen 4 to be tested, used to simulate the voids, cavities or loose areas commonly found behind tunnel linings in reality.

[0068] For the lining specimen 4 to be tested, this embodiment adopts a spliced ​​structure. The lining specimen 4 to be tested includes two concrete specimens 41 and a crack simulation gasket 42. The two concrete specimens 41 are spliced ​​and fixed by fasteners (such as tie rods or clamps). The crack simulation gasket 42 is located on the contact surface of the two concrete specimens 41 and serves as a model permeation channel. The thickness and shape of the crack simulation gasket 42 determine the width and geometric characteristics of the model permeation channel, so that lining cracks of different openings can be simulated by replacing gaskets of different specifications.

[0069] Furthermore, in the monitoring stage at the outlet, the slurry loss dynamic monitoring component 6 includes a turbidity detection unit and an instantaneous flow rate monitoring unit connected in series on the outlet pipeline. The turbidity detection unit (such as an online turbidity meter) is used to capture changes in the optical properties of suspended particles in the fluid in real time to characterize the slurry concentration; the instantaneous flow rate monitoring unit (such as an electromagnetic flow meter or a turbine flow meter) is used to simultaneously record the fluid velocity and flow rate.

[0070] Example 3

[0071] like Figure 2 As shown, this embodiment provides a simulation method for grouting repair of lining in a dynamic water environment. This method is based on the simulation device described in Embodiment 1 or Embodiment 2, and realizes the simulation of the dynamic water grouting process and the comprehensive evaluation of the repair results.

[0072] The process mainly includes: benchmark environment construction and calibration, initial dynamic water characteristics extraction, four-dimensional monitoring of the grouting process, loss inversion calculation, and comprehensive evaluation of dual indicators.

[0073] Step S1: Before the formal test, a reference fluid environment with pure water circulation is constructed in the test chamber. The concentration characteristic physical parameters under different slurry concentrations are measured using the slurry loss dynamic monitoring component. A correlation mapping model between the concentration characteristic physical parameters and the slurry concentration is established.

[0074] The concentration characteristic physical parameter is selected from one or more of the following: fluid turbidity value, fluid conductivity value, fluid optical density value, or ultrasonic attenuation coefficient.

[0075] The correlation mapping model is a nonlinear function based on polynomial fitting or neural network regression.

[0076] Step S2: In the un-grouted state, start the variable frequency pulsating loading component to apply a preset time-varying hydraulic boundary condition (such as sinusoidal pulsating water pressure) to the test chamber; by monitoring the dynamic response of the outflow rate to the input water pressure, calculate the initial fluid dynamics transmission characteristics of the simulated fracture channel, thereby obtaining the ability of the fracture to conduct or impede the dynamic water flow field in the unrepaired state.

[0077] Step S3: Start the grouting system to perform grouting repair. In order to restore the actual harsh working conditions of the project, the time-varying hydraulic boundary conditions are maintained throughout the grouting operation, that is, the time-varying hydraulic boundary conditions of step S2 are kept unchanged.

[0078] During this period, the dynamic monitoring component for grout loss was used to simultaneously collect the instantaneous flow rate and instantaneous concentration characteristics of the outlet end on the grouting time axis, and to construct a four-dimensional monitoring dataset of the grouting process that includes the time dimension, recording the entire process of dynamic loss of grout under the scouring of moving water.

[0079] Step S4: Call the four-dimensional monitoring dataset and use the correlation mapping model established in step S1 to convert the instantaneous concentration characteristic physical parameters in time series into instantaneous loss concentration; based on mass conservation, multiply the instantaneous loss concentration and instantaneous flow rate to obtain the loss flux, and integrate over time to calculate the cumulative grout loss mass during the grouting process.

[0080] Step S5: After the grout injected into the fracture has completely solidified, apply the same time-varying hydraulic boundary conditions as in step S2 again, and measure the final state hydrodynamic transport characteristics after repair.

[0081] Finally, combining the accumulated grout loss mass and the total grouting mass, a dual-index evaluation system is constructed, including the material retention dimension and the sealing efficiency dimension. On the one hand, the material retention dimension (i.e., how much grout remains in the crack) is evaluated by combining the accumulated grout loss mass and the total grouting mass calculated in step S4; on the other hand, the sealing efficiency dimension (i.e., how much the blocking ability against water flow is improved after grouting) is evaluated by combining the initial and final fluid dynamics transport characteristics. Then, the grouting repair effect is comprehensively evaluated through the two dimensions.

[0082] Example 4

[0083] This embodiment provides a detailed description of the key steps in Embodiment 3.

[0084] First, the specific process of obtaining and calculating the "initial hydrodynamic transport characteristic index" is explained, including the following steps:

[0085] Step S21: Activate the variable frequency pulsating loading component to generate the foundation hydrostatic pressure. Synthetic time-varying hydraulic boundary conditions composed of multi-frequency sinusoidal pulsating components : ,in, For the first Pressure amplitude of each frequency component Angular frequency, For the initial phase, The total number of frequency components (N can be 3, 5, or 7, corresponding to low-frequency tides, mid-frequency waves, and high-frequency vibrations, respectively).

[0086] Step S22: While applying the excitation, at the sampling frequency Synchronous acquisition of effluent flow response and input pressure Because computer processing requires digitized signals, continuous time signals need to be converted into discrete time series datasets. ,in , This represents the number of sampling points.

[0087] Step S23: Based on the principles of fluid dynamics, the simulated fracture channel is considered as a fluid transport system with impedance characteristics, and an unsteady flow differential equation describing the dynamic characteristics of the simulated fracture channel is constructed: .

[0088] It is the hydraulic resistivity, representing the viscous frictional resistance generated by the roughness and opening of the fissure wall on the water flow, similar to the resistance in a circuit.

[0089] The coefficient of inertia represents the inertial effect exhibited by water flow during acceleration or deceleration, similar to inductance in a circuit.

[0090] This is the residual term.

[0091] Step S24: Using the discrete-time series dataset, the recursive least squares (RLS) method is employed to solve the parameters of the unsteady flow differential equation, and the derivative terms in the differential equation are... Discretize into difference form (in (for the sampling interval), construct the objective function. That is, the sum of squares of the errors between the predicted pressure and the measured pressure: Find the objective function through mathematical iterative algorithms. Minimize the optimal solution to calculate the initial hydraulic resistivity of the lining specimen under test. .

[0092] Step S25: Set the initial hydraulic resistivity coefficient Defined as an initial fluid dynamics transport characteristic index.

[0093] Secondly, the specific process for obtaining and calculating the "cumulative grout loss mass during the grouting process" is explained, including the following steps:

[0094] Step S41: Since the fluid in the dynamic water environment is in a pulsating state, the original signal collected by the sensor is accompanied by high-frequency fluctuation noise, and there may be a small response time difference between different sensors (flow meter and turbidity meter). Therefore, the four-dimensional monitoring dataset is time-aligned.

[0095] To eliminate measurement jitter caused by pulsating flow fields, a moving average filtering algorithm is used for the instantaneous flow sequence. and instantaneous concentration characteristic physical parameter sequence Smoothing is performed by replacing the value at the center point with the arithmetic mean within the sliding window, thus obtaining a smoothed discrete sequence. and ,in This is the sampling point number.

[0096] Step S42: After obtaining the preprocessed data, utilize the correlation mapping model. The preprocessed feature physical parameter sequence Converted to net loss concentration sequence : ,in, This is the baseline value for the background fluid concentration before grouting; The function ensures that when the sensor zero-point drift or measurement error causes the calculation result to be negative, it will be forced to zero, which is consistent with physical reality.

[0097] Calculate the instantaneous slurry loss mass flux at each sampling time. : This refers to the mass of slurry lost with the water flow per unit time.

[0098] Step S43: Based on the trapezoidal rule of numerical integration, the loss flux throughout the entire process is integrated and accumulated to calculate the cumulative slurry loss mass. : ,in, This represents the total number of sampling points during the grouting process. The unit time interval for data sampling. The grouting start time, This is the time when grouting ends.

[0099] Finally, the specific acquisition and calculation process of the "dual-indicator evaluation system" is explained, including the following steps:

[0100] Based on the cumulative slurry loss mass and known total grouting quality Calculate the material retention index of grouting repair. : This reflects the proportion of the injected grout that ultimately remained in the cracks and voids and was not washed away by the water. The closer the value is to 1, the better the anti-dispersion performance of the slurry and the higher the physical filling rate.

[0101] After the slurry solidifies, step S2 is executed again to apply the same time-varying hydraulic boundary conditions using the variable frequency pulsating loading component. Response data is collected, and the final-state hydraulic resistivity after repair is calculated using the recursive least squares method. Calculate the sealing efficiency index of grouting repair. : This reflects the relative increase in hydraulic resistance after repair. The closer the value is to 1, the greater the final resistance is than the initial resistance, indicating that the grouting body effectively cuts off the seepage channel and the sealing effect is significant.

[0102] To balance the evaluation results of the two dimensions mentioned above, a weighting coefficient is introduced. and (generally ), calculate the comprehensive evaluation score of the repair effect of dynamic water grouting. : The weighting coefficient can be flexibly adjusted according to the project objectives: if the project focuses on filling and reinforcing voids, it can be increased. If the focus is on sealing cracks, the adjustment can be increased. .

[0103] Set blocking effectiveness threshold (e.g., 0.85) and comprehensive evaluation threshold (For example, 0.90) is used as the pass / fail criterion, and the judgment logic is: if and The grouting repair is deemed qualified; not only is a high overall score required, but the sealing performance must also meet the standards, thus avoiding misjudgments such as "large filling volume but no effective sealing" (e.g., the grout is left but has not solidified or bonded).

[0104] In the description of this specification, the references to terms such as "one embodiment / mode," "some embodiments / modes," "example," "specific example," or "some examples," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment / mode or example is included in at least one embodiment / mode or example of this application. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment / mode or example. Moreover, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments / modes or examples. Furthermore, without contradiction, those skilled in the art can combine and integrate the different embodiments / modes or examples described in this specification, as well as the features of different embodiments / modes or examples.

[0105] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one of that feature. In the description of this application, "multiple" means at least two, such as two, three, etc., unless otherwise explicitly specified.

[0106] Those skilled in the art should understand that the above embodiments are merely for illustrating the present invention and are not intended to limit the scope of the invention. Those skilled in the art can make other changes or modifications based on the above invention, and these changes or modifications still fall within the scope of the present invention.

Claims

1. A simulation method for grouting repair of linings in dynamic water environments, characterized in that, A simulation device for grouting repair of lining in a dynamic water environment is provided, the simulation device comprising: The main model unit has a test chamber inside. The test chamber is equipped with a water inlet, a water outlet and a grouting port. The test chamber contains a lining specimen (4) to be tested. The lining specimen (4) to be tested has a simulated crack channel inside. The lining specimen (4) to be tested and the test chamber have a simulated lining gap. The grouting system is connected to the simulated lining gap or the simulated crack channel; A variable frequency pulsating loading component (5) is connected to the water inlet of the test chamber; the variable frequency pulsating loading component (5) is used to apply periodic pulsating water pressure to the test chamber to form a non-constant flow field; The slurry loss dynamic monitoring component (6) is connected to the water outlet of the test chamber; the slurry loss dynamic monitoring component (6) is used to collect turbidity data and flow rate data of the fluid flowing out from the water outlet in real time; The simulation method includes the following steps: Step S1: Construct a reference fluid environment in the test chamber, use the slurry loss dynamic monitoring component (6) to measure the concentration characteristic physical parameters under different slurry concentrations, and establish a correlation mapping model between the concentration characteristic physical parameters and the slurry concentration; Step S2: Start the variable frequency pulsating loading component (5) to apply the preset time-varying hydraulic boundary conditions to the test chamber; in the un-grouting state, by monitoring the dynamic response of the outflow rate to the input water pressure, calculate the initial fluid dynamics transmission characteristics of the simulated fracture channel; Step S3: Start the grouting system to perform grouting repair, and maintain the time-varying hydraulic boundary conditions throughout the grouting operation; Using the grout loss dynamic monitoring component (6), the instantaneous flow rate and instantaneous concentration characteristics of the outlet end on the grouting time axis are collected synchronously to construct a four-dimensional monitoring dataset of the grouting process containing the time dimension. Step S4: Call the four-dimensional monitoring dataset and use the correlation mapping model to convert the instantaneous concentration characteristic physical parameters in the time series into instantaneous loss concentration; calculate the cumulative grout loss mass during the grouting process based on mass conservation. Step S5: After the slurry solidifies, the time-varying hydraulic boundary conditions are applied again, and the final state fluid dynamic transport characteristics after repair are measured. By combining the accumulated grout loss mass with the total grouting mass, a dual-index evaluation system including material retention and sealing efficiency is constructed to comprehensively evaluate the grouting repair effect. The method for obtaining the initial hydrodynamic transport characteristics of the simulated fracture channel includes the following steps: Step S21: Start the variable frequency pulsating loading component (5) to generate the hydrostatic pressure of the foundation. Synthetic time-varying hydraulic boundary conditions composed of multi-frequency sinusoidal pulsating components : ,in, For the first Pressure amplitude of each frequency component Angular frequency, For the initial phase, This represents the total number of frequency components. Step S22: Using sampling frequency Synchronous acquisition of effluent flow response and input pressure Obtain discrete time series dataset ,in , This represents the number of sampling points; Step S23: Based on the principles of fluid dynamics, construct the unsteady flow differential equations describing the dynamic characteristics of the simulated fracture channel: ,in, The hydraulic resistivity, The fluid inertia coefficient, For residual terms; Step S24: Using the discrete time series dataset, solve the parameters of the unsteady flow differential equation using the recursive least squares method, so that the objective function... Minimize: The initial hydraulic resistivity of the lining specimen (4) to be tested was calculated. ; Step S25: Set the initial hydraulic resistivity coefficient Defined as an initial fluid dynamics transport characteristic index.

2. The simulation method for grouting repair of lining in a dynamic water environment according to claim 1, characterized in that, The concentration characteristic physical parameter is selected from one or more of the following: fluid turbidity value, fluid conductivity value, fluid optical density value, or ultrasonic attenuation coefficient. The correlation mapping model is a nonlinear function based on polynomial fitting or neural network regression.

3. The simulation method for grouting repair of lining in a dynamic water environment according to claim 1, characterized in that, The method for obtaining the cumulative grout loss quality during the grouting process includes the following steps: Step S41: Time-align the four-dimensional monitoring dataset and use a moving average filtering algorithm to process the instantaneous flow sequence. and instantaneous concentration characteristic physical parameter sequence Smoothing is performed to obtain the preprocessed discrete sequence. and ,in The sampling point number; Step S42: Utilize the correlation mapping model The preprocessed feature physical parameter sequence Converted to net loss concentration sequence : ,in, This is the baseline value for the background fluid concentration before grouting; Calculate the instantaneous slurry loss mass flux at each sampling time. : ; Step S43: Calculate the cumulative slurry loss mass based on the numerical integral trapezoidal rule. : ,in, This represents the total number of sampling points during the grouting process. The unit time interval for data sampling. The grouting start time, This is the time when grouting ends.

4. The simulation method for grouting repair of lining in a dynamic water environment according to claim 3, characterized in that, The methods for constructing a dual-indicator evaluation system include: Based on the cumulative slurry loss mass and known total grouting quality Calculate the material retention index of grouting repair. : ; After the grout solidifies, step S2 is executed again to calculate the final hydraulic resistivity after repair using the recursive least squares method. Calculate the sealing efficiency index of grouting repair. : .

5. The simulation method for grouting repair of lining in a dynamic water environment according to claim 4, characterized in that, The steps for comprehensively evaluating the effect of grouting repair include: Calculate the comprehensive evaluation score of the repair effect of dynamic water grouting. : ,in, and These are the corresponding weighting coefficients; Set blocking effectiveness threshold and comprehensive evaluation threshold ,like and The grouting repair was deemed satisfactory.

6. The simulation method for grouting repair of lining in a dynamic water environment according to claim 1, characterized in that, The main model unit includes: a pressure tank (1), an upper pressure plate (2) and a lower pressure plate (3), wherein the upper pressure plate (2) and the lower pressure plate (3) are sealed to both ends of the pressure tank (1); Inside the pressure tank (1), a permeable plate and a test lining specimen (4) are arranged sequentially along the water flow direction. The permeable plate is used to simulate the seepage of the surrounding rock, and the simulated lining gap is the reserved gap between the permeable plate and the test lining specimen (4).

7. The simulation method for grouting repair of lining in a dynamic water environment according to claim 6, characterized in that, The test lining specimen (4) includes two concrete specimens (41) and a crack simulation gasket (42). The two concrete specimens (41) are spliced ​​and fixed by fasteners, and the crack simulation gasket (42) is located on the contact surface of the two concrete specimens (41) as a model penetration channel.

8. The simulation method for grouting repair of lining in a dynamic water environment according to claim 1, characterized in that, The slurry loss dynamic monitoring component (6) includes a turbidity detection unit and an instantaneous flow monitoring unit connected in series on the outlet pipeline.

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