A method, device and equipment for treating ballastless track subgrade and a storage medium

Abstract

The application provides a method, device and equipment for treating a ballastless track roadbed and a storage medium, and applies to the technical field of high-speed railway roadbed disease treatment. The method comprises the following steps: S1, acquiring track inspection vehicle waveform data and / or ground penetrating radar scanning results, and demarcating the start and end mileage of the roadbed disease; S2, acquiring the physical property parameters of the roadbed filler and the thickness of the bed surface layer; S3, measuring the rheological property parameters of the polyurethane slurry under the ambient temperature; S4, performing optimization calculation on the grouting process parameters to obtain the optimized process parameters; S5, formulating a grouting scheme according to the optimized process parameters, and implementing the ballastless track roadbed disease treatment operation; and S6, testing and evaluating the quality of the treatment operation according to the dynamic stiffness of the roadbed under the cyclic load of the ballastless track of 5 Hz and above. The application significantly improves the adaptability of the polyurethane grouting technology to complex working conditions, and provides reliable technical support for the long-term performance maintenance of the ballastless track roadbed.

Description

Technical Field

[0001] This disclosure relates to the field of high-speed railway subgrade disease treatment technology, and in particular to a method, device, equipment and storage medium for ballastless track subgrade treatment. Background Technology

[0002] Ballastless track is characterized by its strong integrity and high stability, making it the main structural form for high-speed railways with speeds of 300 km / h and above in my country. However, under long-term high-frequency train loads and multiple environmental factors, it is prone to subgrade defects such as frost heave and mud spillage, and base plate delamination, resulting in significant deterioration of the subgrade bearing capacity, causing geometric deviations and uneven longitudinal stiffness of the track, which seriously affects the operational quality and driving safety of high-speed railways.

[0003] For the aforementioned subgrade defects, polyurethane grouting technology, which involves injecting a two-component polyurethane grout into the surface of the subgrade to fill voids and lift the superstructure, has proven to be an effective remediation method with advantages such as fast construction speed and minimal structural disturbance. In particular, high-pressure grouting technologies developed in recent years (such as patents CN109162152B, CN116163170B, and CN117248401B) enhance the composite effect of polyurethane grout and subgrade filler, filling local voids, draining accumulated water, and improving the stress state of the subgrade, further improving the quality of subgrade defect remediation.

[0004] However, existing technologies still have the following limitations: Firstly, key process parameters (such as borehole spacing and grouting pressure) mainly rely on empirical settings, and a quantitative optimization method based on the grout diffusion mechanism has not yet been established. Secondly, the quality assessment of the treatment only focuses on short-term indicators such as the immediate track slab lifting, lacking evaluation methods related to the long-term dynamic performance of the subgrade. Engineering practice shows that improperly set parameters in grouting treatment can easily lead to recurrence of defects. Some lines experience frost heave and mudslides again within 1-2 years after treatment, and the treatment effect in severely affected sections can only be maintained for 1-2 months, increasing operation and maintenance costs. Summary of the Invention

[0005] The present invention discloses a method for treating ballastless track subgrade, comprising the following steps:

[0006] S1. Obtain waveform data from the track inspection vehicle and / or ground-penetrating radar scan results. Based on the waveform data from the track inspection vehicle and / or ground-penetrating radar scan results, determine the starting and ending mileage of the roadbed defects.

[0007] S2. Obtain the physical property parameters of the subgrade fill and the thickness of the subgrade surface layer, and use the thickness of the subgrade surface layer as the drilling depth below the base plate. H ;

[0008] S3. Measure the rheological properties of polyurethane grout at ambient temperature and calibrate the working parameters of the grouting equipment;

[0009] S4. Based on the physical property parameters of the roadbed filler and the rheological property parameters of the polyurethane grout, the grouting process parameters are optimized and calculated to obtain the optimized process parameters.

[0010] S5. Formulate a grouting plan based on the optimized process parameters and carry out the treatment of subgrade defects of ballastless track.

[0011] S6. Evaluate the quality of the remediation work by testing the dynamic stiffness of the subgrade under 5Hz or higher cyclic loads on the ballastless track. When the dynamic stiffness test value reaches 120kN / mm or higher, it is determined that the quality meets the standard; otherwise, adjust the grouting material or use equipment to carry out compensatory grouting.

[0012] Preferably, in step S2, the grouting borehole is set to penetrate the surface layer of the subgrade at full depth. The shallow layer fills the voids and forms a waterproof barrier layer, while the deep layer allows the polyurethane to combine with the subgrade filler to form a composite reinforced body, thereby synergistically restoring and maintaining the performance of the subgrade for a long time.

[0013] Preferably, the physical property parameters of the roadbed filler include at least the interconnected porosity of the roadbed filler. f Permeability coefficient K ,tensile strength s t .

[0014] Preferably, the rheological properties of the polyurethane slurry include at least the consistency coefficient. k rheological index β Foaming and curing time t max The operating parameters of the grouting equipment include at least the grouting pressure threshold. p max Stable grouting rate q max .

[0015] Preferably, S4 specifically includes:

[0016] S41. Determine the characteristic thickness of the fine particle loss layer based on on-site conditions. h 1. Volume ratio of slurry penetration and diffusion α Characterization parameters of roadbed fill compressibility N and c ;

[0017] S42. Input the physical property parameters of the subgrade filler collected in S2 and the rheological property parameters of the polyurethane slurry measured in S3 into the polyurethane slurry layered diffusion model established for the diseased subgrade, and solve the theoretical radius of slurry penetration and diffusion through equation (1) of the model. l1max The theoretical radius of slurry splitting and diffusion is solved by equations (2) to (3). l 2max :

[0018] (1)

[0019] (2)

[0020] (3)

[0021] In the formula, , , , ; N A parameter characterizing the splitting toughness of soil; c These are parameters that characterize the elastic properties of soil. p This refers to the grouting pressure; q 1 and q 2 represents the penetration diffusion rate and the splitting diffusion rate, respectively; k 1 and k 0 represents the consistency coefficient. k Characterization parameters; r 0 represents the capillary radius in the fine particle loss layer; w The width of the split channel; p e represents the pressure required to expand the splitting channel;

[0022] S43. Consider model parameters α , h 1. N , c The possible deviation range of the values ​​is obtained based on an iterative trial-and-error method. l 1max and l 2max The calculation results are used to determine the slurry diffusion distance according to equation (4). R :

[0023] (4)

[0024] This establishes a quantitative relationship between grout diffusion distance and grouting pressure and time, and solves for the optimal borehole spacing and grouting pressure that satisfy the performance constraints of the grouting equipment.

[0025] Preferably, in step S4, the optimization objective of the drilling spacing and grouting pressure is to ensure that the penetration diffusion distance and splitting diffusion distance of the polyurethane grout during the foaming and hardening time are both greater than 1 / 2 of the drilling spacing, so as to form a continuous composite reinforcement along the longitudinal direction of the line.

[0026] Preferably, in step S6, the dynamic stiffness of the roadbed is characterized by the dynamic resilient modulus when the roadbed soil is stable due to deformation, or by using the multi-channel surface wave method to collect the Rayleigh wave velocity of the roadbed for conversion.

[0027] The second disclosure of this invention is a ballastless track subgrade treatment device, the device comprising:

[0028] The acquisition module is used to acquire waveform data from the track inspection vehicle and / or ground-penetrating radar scan results, and based on the waveform data and / or ground-penetrating radar scan results, to delineate the start and end mileages of subgrade defects; and to acquire the physical property parameters of the subgrade fill material and the thickness of the subgrade surface layer, using the thickness of the subgrade surface layer as the drilling depth below the base plate. H ;

[0029] The measurement module is used to measure the rheological properties of polyurethane slurry at ambient temperature.

[0030] The calculation module is used to perform grouting process parameter optimization calculations based on the physical property parameters of the roadbed filler and the rheological property parameters of the polyurethane grout, and obtain the optimized process parameters.

[0031] The implementation module formulates a grouting plan based on the optimized process parameters and carries out the treatment of subgrade defects of ballastless track.

[0032] The detection module is used to evaluate the quality of the remediation work by testing the dynamic stiffness of the subgrade under 5Hz or higher cyclic loads on the ballastless track. When the dynamic stiffness test value reaches 120kN / mm or higher, it is determined that the quality meets the standard; otherwise, the grouting material is adjusted or compensatory grouting is carried out with the help of equipment.

[0033] The third disclosure of this invention is an electronic device, comprising:

[0034] At least one processor;

[0035] and a memory communicatively connected to the at least one processor;

[0036] The memory stores instructions that can be executed by the at least one processor to enable the at least one processor to perform the method disclosed in the first disclosure.

[0037] The fourth disclosure of this invention is a non-transitory computer-readable storage medium storing computer instructions.

[0038] The computer instructions are used to cause the computer to perform the method according to the first disclosure.

[0039] The present invention has the following beneficial effects:

[0040] (1) This invention constructs a layered diffusion model of polyurethane grout in diseased roadbeds, forming a mechanism-driven grouting process parameter optimization method. It can comprehensively consider the roadbed working conditions, grout rheological characteristics and equipment performance constraints, realize the precise optimization design of grouting parameters, significantly improve the adaptability of polyurethane grouting technology to complex working conditions, and at the same time ensure the realization of the synergistic treatment goal of "shallow filling waterproofing + deep composite curing".

[0041] (2) This invention proposes a treatment quality evaluation method based on roadbed dynamic stiffness test. By establishing a correlation mechanism between grouting effect and roadbed durability, it simultaneously verifies the filling effect of polyurethane grouting on local voids in the base plate and the optimization efficiency of the roadbed dynamic stress diffusion path, providing technical support for the long-term maintenance of ballastless track roadbed performance, thereby significantly reducing the full life cycle operation and maintenance cost.

[0042] It should be understood that the description in the Summary of the Invention is not intended to limit the key or essential features of the embodiments of this disclosure, nor is it intended to restrict the scope of this disclosure. Other features of this disclosure will become readily apparent from the following description. Attached Figure Description

[0043] The above and other features, advantages, and aspects of the embodiments of this disclosure will become more apparent from the accompanying drawings and the following detailed description. The drawings are provided for a better understanding of the invention and are not intended to limit the scope of this disclosure. In the drawings, the same or similar reference numerals denote the same or similar elements, wherein:

[0044] Figure 1 The flowchart illustrates the grouting process parameter optimization and treatment quality evaluation method for restoring and maintaining the performance of ballastless track subgrade provided by this invention.

[0045] Figure 2 This is a schematic diagram of a polyurethane grout layer diffusion model established for roadbed defects.

[0046] Figure 3 A schematic diagram of a flow analysis model for polyurethane slurry that takes into account time-varying viscosity.

[0047] Figure 4 A schematic diagram showing the results of sensitivity analysis of parameters calculated for the stratified diffusion model.

[0048] Figure 5 This is a schematic diagram illustrating the relationship between grouting effect and roadbed durability based on roadbed dynamic stiffness.

[0049] Figure 6 A block diagram of a ballastless track subgrade treatment device according to an embodiment of the present disclosure is shown.

[0050] Figure 7A block diagram of an exemplary electronic device capable of implementing embodiments of the present disclosure is shown. Detailed Implementation

[0051] To make the objectives, technical solutions, and advantages of the embodiments of this disclosure clearer, the technical solutions of the embodiments of this disclosure will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this disclosure, and not all embodiments. Based on the embodiments of this disclosure, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this disclosure.

[0052] Furthermore, the term "and / or" in this article is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, or B existing alone. Additionally, the character " / " in this article generally indicates that the preceding and following related objects have an "or" relationship.

[0053] Figure 1 A schematic flowchart of a ballastless track subgrade treatment method according to an embodiment of the present invention is shown, as follows: Figure 1 As shown, this method includes the following steps:

[0054] S1. Roadbed disease diagnosis: Obtain waveform data from the track inspection vehicle and / or ground-penetrating radar scan results, and determine the starting and ending mileage of the roadbed disease based on the waveform data from the track inspection vehicle and / or ground-penetrating radar scan results.

[0055] S2. Collect physical property parameters of the fill material: Obtain the physical property parameters of the subgrade fill material and the thickness of the subgrade surface layer, and use the thickness of the subgrade surface layer as the drilling depth below the base plate. H The physical properties of roadbed fill material should at least include the interconnected porosity of the roadbed fill material. f Permeability coefficient K ,tensile strength s t ;

[0056] S3. Determination of Rheological Properties of Polyurethane Slurry and Calibration of Grouting Equipment: Determine the rheological properties of polyurethane slurry at ambient temperature and calibrate the operating parameters of the grouting equipment; the rheological properties of polyurethane slurry shall include at least the consistency coefficient. k rheological index β Foaming and curing time t max The operating parameters of the grouting equipment should include at least the grouting pressure threshold. p max Stable grouting rate q max ;

[0057] S4. Based on the physical property parameters of the roadbed filler and the rheological property parameters of the polyurethane grout, the grouting process parameters are optimized and calculated to obtain the optimized process parameters.

[0058] S5. Grouting Operation Guided by Optimized Parameters: Based on the optimized process parameters obtained from S2 and S4, such as drilling depth, drilling spacing, and grouting pressure, a grouting plan is formulated; during the track maintenance window, the subgrade defect treatment operation of the ballastless track is carried out, with grouting holes set on the base plate, 15cm from the edge, and drilled at an angle of approximately 45° towards the center of the base plate; after completing the grouting of the main and secondary wheels, the shoulder sealing layer is then grouted; after grouting is completed, the residual grout is cleaned and the grouting holes are sealed;

[0059] S6. Evaluation of treatment quality based on dynamic stiffness: The treatment quality is evaluated by testing the dynamic stiffness of the subgrade under cyclic loads of 5Hz and above. When the dynamic stiffness test value reaches 120kN / mm or above, it is judged as meeting the quality standard; otherwise, the performance of grouting materials or the parameters of grouting equipment should be adjusted to implement compensatory grouting to ensure that the subgrade performance meets the long-term maintenance requirements. The dynamic resilient modulus when the subgrade soil deformation is stable can be used as the characterization index of the subgrade dynamic stiffness, or the Rayleigh wave velocity of the subgrade can be collected by the multi-channel surface wave method for conversion.

[0060] Preferably, in step S3, the rigid polyurethane foam material used is generated by reacting component A (polyol) and component B (isocyanate) in a 1:1 equal volume ratio, and its shear stress-shear rate relationship satisfies a power-law fluid constitutive model, i.e. t = k c β The rheological behavior of this material exhibits significant time-varying characteristics. Initially, the viscosity is low and changes gradually during the initial mixing of the two components. After 20–40 seconds of mixing, the chemical reaction intensifies, and the viscosity changes rapidly, eventually leading to foaming, expansion, and hardening. To describe this time-varying viscosity, a quadratic function can be used. k ( t )= k 1 t 2 + k 0 describes the change in consistency coefficient, while the rheological index... β Keep the value constant.

[0061] Preferably, in step S4, a time-varying laminar flow model of polyurethane grout is established for the polyurethane grout stratification diffusion model established for the damaged roadbed to describe the seepage movement of the polyurethane grout, that is:

[0062] (5)

[0063] The model assumes that during grouting, polyurethane grout flows out from the bottom of the grouting pipe and quickly fills the pre-drilled hole. Since the subgrade filler has a high density under normal conditions, it is considered that in the deep subgrade area, the polyurethane grout mainly diffuses through splitting, forming multiple splitting channels along the weak points of the filler bonding and expanding independently. In the shallow subgrade area, due to severe mud pumping and significant loss of fine particles, and the well-developed pore structure within the filler, it is assumed that the polyurethane grout will mainly diffuse through penetration, meaning the grout seeps into the graded crushed stone from the borehole side and diffuses outward in a cylindrical pattern. The sum of the grout volume entering the subgrade surface per second through penetration and splitting diffusion equals the total grouting rate of the equipment.

[0064] Preferably, in step S2, the grouting borehole is set to penetrate the surface layer of the subgrade at full depth. The shallow layer fills the voids and forms a waterproof barrier layer, while the deep layer allows the polyurethane to combine with the subgrade filler to form a composite reinforced body, thereby synergistically restoring and maintaining the performance of the subgrade in the long term.

[0065] Preferably, S4 specifically includes:

[0066] S41. Determine the characteristic thickness of the fine particle loss layer based on on-site conditions. h 1. Volume ratio of slurry penetration and diffusion α Characterization parameters of roadbed fill compressibility N and c ;

[0067] S42. Input the physical property parameters of the subgrade filler collected in S2 and the rheological property parameters of the polyurethane slurry measured in S3 into the polyurethane slurry layered diffusion model established for the diseased subgrade, and solve the theoretical radius of slurry penetration and diffusion through equation (1) of the model. l 1max The theoretical radius of slurry splitting and diffusion is solved by equations (2) to (3). l 2max :

[0068] (1)

[0069] (2)

[0070] (3)

[0071] In the formula, , , , ;

[0072] N A parameter characterizing the splitting toughness of soil; c These are parameters that characterize the elastic properties of soil. N Characterizing the splitting toughness of soil under the same grouting pressureN The larger the value, the wider the splitting width; c Characterizing the elastic properties of soil c When =1, the soil is a linear elastic body, 1 / c When the value is 0, the soil is incompressible.

[0073] p This refers to the grouting pressure; q 1 and q 2 represents the penetration diffusion rate and the splitting diffusion rate, respectively; k 1 and k 0 represents the consistency coefficient. k Characterization parameters; r 0 represents the capillary radius in the fine particle loss layer. Since it is assumed that the polyurethane slurry moves in a laminar flow state in the graded crushed stone, the capillary water permeation diffusion formula can be used for approximate calculation. w The width of the split channel; p e represents the splitting channel expansion pressure, which is related to the tensile strength of the packing. s related;

[0074] If equations (2) to (3) do not have explicit solutions, we can further assume that the grouting time is in the direction of the split channel extension. t Distance of plasma vein diffusion l 2max Temporarily decouple and use numerical integration to solve for specific values;

[0075] S43. Consider model parameters α , h 1. N , c The possible deviation range of the values ​​is obtained based on an iterative trial-and-error method. l 1max and l 2max Based on the calculation results, the slurry diffusion distance under the most unfavorable working condition is determined according to equation (4). R， The splitting diffusion distance takes into account the reduction caused by the direction of magma vein propagation:

[0076] (4)

[0077] This establishes a quantitative relationship between grout diffusion distance and grouting pressure and time, within the working pressure threshold. p max and stable grouting rate q max Under constraints, the slurry diffusion distance can be used as a basis. R By adhering to the principle of being greater than 1 / 2 of the borehole spacing, the optimal borehole spacing and grouting pressure can be obtained.

[0078] Preferably, in step S4, the optimization objective of the drilling spacing and grouting pressure is to make the penetration diffusion distance and splitting diffusion distance of the polyurethane grout during the foaming and hardening time both greater than 1 / 2 of the drilling spacing, so as to form a continuous composite reinforcement along the longitudinal direction of the line.

[0079] The following detailed embodiments further illustrate the following:

[0080] S1. Subgrade Defect Diagnosis. The defect site is located in a rainy region of southern my country, with ballastless track and a design speed of 350 km / h. The subgrade structure, from top to bottom, consists of CRTS Type I track slab, CA mortar layer, base plate, subgrade surface layer, subgrade bottom layer, and foundation. The subgrade surface layer is approximately 0.4 m thick, and the bottom layer is approximately 2.3 m thick. The right side of the subgrade exhibits Grade I elevation difference exceeding the limit, resulting in significant differential settlement. Cracks have appeared in the hardened shoulder layer, with mud pumping and frost along the cracks.

[0081] Based on the waveform data from the track inspection vehicle and the results of ground-penetrating radar scanning, the starting and ending mileage ranges of the roadbed defects were delineated, and it is planned to use polyurethane grouting to restore the dynamic performance of the roadbed.

[0082] S2. Physical parameter collection of subgrade fill material. Through on-site drilling and sampling tests, the permeability coefficient of the graded crushed stone in the surface layer of the subgrade was measured to be... K =1.0×10 -5 m / s, connected porosity taken φ= 0.08, and determined by tensile strength s t Determine the splitting channel expansion pressure p e The pressure is 50 kPa.

[0083] The drilling depth below the base plate is designed based on the principle of penetrating the entire surface of the subgrade. H =0.4m.

[0084] S3. Grout Rheological Properties Measurement and Grouting Equipment Calibration. Low-foaming rigid polyurethane foam was used for roadbed repair. This material is produced by a rapid reaction of component A (polyol) and component B (isocyanate) mixed in a 1:1 equal volume ratio. The models are LHF-8855A and LHF-8855B, respectively. The ambient temperature during construction was approximately 25℃. The initial viscosity of the grout mixture at this temperature was measured. k At a viscosity of 50 mPa·s, the viscosity changes little within the first 25 seconds. After 25 seconds, the chemical reaction intensifies, and the viscosity changes rapidly until foaming and expansion occurs around 120-150 seconds. Based on performance tests of polyurethane materials, the consistency coefficient can be determined. k and rheological index β The relationship between the changes over time is as follows:

[0085] (1)

[0086] (2)

[0087] In the formula: k 1 is the time-varying coefficient, taken as 0.02 Pa / s.

[0088] Calibrate the working pressure threshold of the grouting equipment p max =10MPa, maximum grouting rate q max =5L / min.

[0089] S4. Grouting process parameter optimization calculation, including the following sub-steps.

[0090] (1) Based on the actual drilling test conditions at the site, the thickness of the fine-particle loss layer at this work site was initially determined to be approximately h 1 = 5cm; the volume ratio of slurry penetration and diffusion is taken as... α =0.5; N =0.001m / MPa; c =0.9.

[0091] (2) Input the roadbed filler parameters collected in S2 and the slurry rheological parameters measured in S3 into the polyurethane slurry stratified diffusion model established for the diseased roadbed, such as... Figure 2 As shown in the figure. This model assumes that during grouting, polyurethane grout flows from the bottom of the grouting pipe and rapidly fills the pre-drilled hole. In the shallow surface region of the subgrade, diffusion is dominant, while in the deep region, fracturing diffusion is dominant. The sum of the grout volume diffusing into the subgrade surface per second equals the total grouting rate of the equipment. Assuming a relatively small Reynolds number, the polyurethane grout is in a laminar flow state, and a time-varying laminar flow model of the polyurethane grout can be established, such as... Figure 3 As shown. If a radius of [missing information] is taken within the slurry diffusion channel... r The microfluidic column with an average flow rate for:

[0092] (3)

[0093] During the permeation and diffusion process of polyurethane grout, taking any grout particle on the diffusion surface as the research object, the amount of grout entering the graded crushed stone through the borehole within this diffusion surface is:

[0094] (4)

[0095] The spatial distribution equation of the effective viscosity can be obtained as follows:

[0096] (5)

[0097] The analytical equation for the maximum diffusion distance in a cylindrical column is:

[0098] (6)

[0099] In the formula, , .

[0100] During the splitting diffusion process of polyurethane slurry, the width of the splitting channel is assumed. w The relationship with grouting pressure is as follows:

[0101] (7)

[0102] The analytical equation for the maximum distance of splitting diffusion is:

[0103] (8)

[0104] Assuming in the direction of the splitting channel extension t and l Temporarily decoupling yields a simplified, more conservative form of the equation:

[0105] (9)

[0106] Numerical integration using the composite Simpson's theorem yields:

[0107] (10)

[0108] To consider model calculation parameters α , h 1. N、g The influence of value deviation can be investigated by performing sensitivity analysis on each parameter, and the results are as follows: Figure 4 As shown. Through iterative calculations, a series of results were obtained. l 1max and l 2max The calculation results can then be used to determine the slurry diffusion distance under the most unfavorable working condition according to equation (11). R The splitting diffusion distance takes into account the reduction caused by the direction of magma vein propagation:

[0109] (11)

[0110] This established a quantitative relationship between grout diffusion distance and grouting pressure and time. Further, the working pressure threshold of the grouting equipment was considered. p max and stable grouting rate q max Under constraints, based on the slurry diffusion distance R Following the principle of being greater than 1 / 2 of the borehole spacing, the optimized borehole spacing and grouting pressure were obtained to be 0.6m and 3.0MPa, respectively.

[0111] S5. Grouting Operation Guided by Optimized Parameters. Based on the drilling depth and spacing obtained from S2-S4, a grouting layout plan is developed. During the track maintenance window, the subgrade defect repair work is carried out. Grouting holes are set on the base plate, 15cm from the edge, drilled at approximately a 45° angle towards the center of the base plate. The grouting pressure is set at 3.0MPa. The two-component material is pressurized by a pump and transferred to the grouting gun, where it is thoroughly mixed at a 1:1 volume ratio before being injected into the subgrade surface. After completing the primary and secondary grouting, the shoulder sealing layer is then grouted. After grouting is completed, residual grout is cleaned and the grouting holes are sealed.

[0112] S6. Evaluation of Treatment Quality Based on Dynamic Stiffness. The treatment quality is evaluated through roadbed dynamic stiffness testing under cyclic loads of 5Hz and above. Figure 5 As shown. When the subgrade soil deformation is stable, the dynamic resilient modulus is calculated using equation (12). CM r As a characterization index of roadbed dynamic stiffness:

[0113] (12)

[0114] In the formula, F This represents the applied force amplitude; e r This represents the amount of springback deformation.

[0115] The measured value was 122 kN / mm, indicating that the treatment quality met the standards. Simultaneously, the Rayleigh wave velocity of the roadbed was collected using the multi-surface wave method. After grouting, the overall Rayleigh wave velocity of the subgrade increased, reaching over 400 m / s in the treated area within a depth range of 0.2 m to 0.4 m, more than double the velocity before treatment.

[0116] One month after the completion of the grouting project, the section of road experienced heavy rainfall. On-site inspection confirmed no recurrence of frost heave. The road has been in operation for several years, and the roadbed performance has remained stable, with no significant deterioration in road smoothness indicators, indicating that the grouting treatment was effective.

[0117] The above is an introduction to the method embodiments. The following describes the present disclosure further through device embodiments.

[0118] Figure 6 A block diagram of a ballastless track subgrade treatment device according to an embodiment of the present invention is shown. Figure 6 As shown, the device may include:

[0119] The acquisition module is used to acquire waveform data from the track inspection vehicle and / or ground-penetrating radar scan results, and based on the waveform data from the track inspection vehicle and / or the ground-penetrating radar scan results, to delineate the start and end mileage of subgrade defects; and to acquire the physical property parameters of the subgrade fill material and the thickness of the subgrade surface layer.

[0120] The measurement module is used to measure the rheological properties of polyurethane slurry at ambient temperature.

[0121] The calculation module is used to perform grouting process parameter optimization calculations based on the physical property parameters of the roadbed filler and the rheological property parameters of the polyurethane grout, so as to obtain the optimized process parameters.

[0122] The implementation module formulates grouting plans based on optimized process parameters and carries out ballastless track subgrade defect treatment operations;

[0123] The testing module is used to evaluate the quality of the remediation work by testing the dynamic stiffness of the subgrade under 5Hz and above cyclic loads on ballastless tracks. When the dynamic stiffness test value reaches 120kN / mm or above, it is judged to meet the quality standard; otherwise, the grouting material is adjusted or compensatory grouting is carried out with the help of equipment.

[0124] It should be noted that, for the sake of simplicity, the foregoing method embodiments are all described as a series of actions. However, those skilled in the art should understand that this disclosure is not limited to the described order of actions, because according to this disclosure, some steps can be performed in other orders or simultaneously. Furthermore, those skilled in the art should also understand that the embodiments described in the specification are all optional embodiments, and the actions and modules involved are not necessarily essential to this disclosure.

[0125] Those skilled in the art will understand that, for the sake of convenience and brevity, the specific working process of the described module can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0126] According to embodiments of this disclosure, this disclosure also provides an electronic device, a readable storage medium, and a computer program product.

[0127] Figure 7 A block diagram of an exemplary electronic device capable of implementing embodiments of the present disclosure is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device may also represent various forms of mobile devices, such as personal digital processors, cellular phones, smartphones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely illustrative and are not intended to limit the implementation of the present disclosure described and / or claimed herein.

[0128] Device 300 includes a computing unit 301, which can perform various appropriate actions and processes based on a computer program stored in read-only memory (ROM) 302 or a computer program loaded from storage unit 308 into random access memory (RAM) 303. The RAM 303 may also store various programs and data required for the operation of device 300. The computing unit 301, ROM 302, and RAM 303 are interconnected via bus 304. Input / output (I / O) interface 305 is also connected to bus 304.

[0129] Multiple components in device 300 are connected to I / O interface 305, including: input unit 306, such as keyboard, mouse, etc.; output unit 307, such as various types of monitors, speakers, etc.; storage unit 308, such as disk, optical disk, etc.; and communication unit 309, such as network card, modem, wireless transceiver, etc. Communication unit 309 allows device 300 to exchange information / data with other devices through computer networks such as the Internet and / or various telecommunications networks.

[0130] The computing unit 301 can be a variety of general-purpose and / or special-purpose processing components with processing and computing capabilities. Some examples of the computing unit 301 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various special-purpose artificial intelligence (AI) computing chips, various computing units running machine learning model algorithms, a digital signal processor (DSP), and any suitable processor, controller, microcontroller, etc. The computing unit 301 performs the various methods and processes described above, such as method 100. For example, in some embodiments, method 100 may be implemented as a computer software program tangibly contained in a machine-readable medium, such as storage unit 308. In some embodiments, part or all of the computer program may be loaded and / or installed on device 300 via ROM 302 and / or communication unit 309. When the computer program is loaded into RAM 303 and executed by the computing unit 301, one or more steps of method 100 described above may be performed.

[0131] Various embodiments of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field-programmable gate arrays (FPGAs), application-specific integrated circuits (ASICs), application-specific standard products (ASSPs), systems-on-a-chip (SoCs), payload-programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments may include implementations in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which may be a dedicated or general-purpose programmable processor, capable of receiving data and instructions from a storage system, at least one input device, and at least one output device, and transmitting data and instructions to the storage system, the at least one input device, and the at least one output device.

[0132] The program code used to implement the methods of this disclosure may be written in any combination of one or more programming languages. This program code may be provided to a processor or controller of a general-purpose computer, special-purpose computer, or other programmable data processing apparatus, such that when executed by the processor or controller, the program code causes the functions / operations specified in the flowcharts and / or block diagrams to be implemented. The program code may be executed entirely on a machine, partially on a machine, as a standalone software package partially on a machine and partially on a remote machine, or entirely on a remote machine or server.

[0133] In the context of this disclosure, a machine-readable medium can be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, apparatus, or device. A machine-readable medium can be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium can be, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination of the foregoing. More specific examples of machine-readable storage media include electrical connections based on one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the foregoing.

[0134] To provide interaction with a user, the systems and techniques described herein can be implemented on a computer having: a display device for displaying information to the user (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor); and a keyboard and pointing device (e.g., a mouse or trackball) through which the user provides input to the computer. Other types of devices can also be used to provide interaction with the user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including sound input, voice input, or tactile input).

[0135] The systems and technologies described herein can be implemented in computing systems that include backend components (e.g., as a data server), or computing systems that include middleware components (e.g., an application server), or computing systems that include frontend components (e.g., a user computer with a graphical user interface or web browser through which a user can interact with implementations of the systems and technologies described herein), or any combination of such backend, middleware, or frontend components. The components of the system can be interconnected via digital data communication of any form or medium (e.g., a communication network). Examples of communication networks include local area networks (LANs), wide area networks (WANs), and the Internet.

[0136] Computer systems can include clients and servers. Clients and servers are generally located far apart and typically interact via communication networks. Client-server relationships are created by computer programs running on the respective computers and having a client-server relationship with each other. Servers can be cloud servers, servers in distributed systems, or servers incorporating blockchain technology.

[0137] It should be understood that the various forms of processes shown above can be used to rearrange, add, or delete steps. For example, the steps described in this disclosure can be executed in parallel, sequentially, or in different orders, as long as the desired result of the technical solution of this disclosure can be achieved, and this is not limited herein.

[0138] The specific embodiments described above do not constitute a limitation on the scope of protection of this disclosure. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this disclosure should be included within the scope of protection of this disclosure.

Claims

1. A method for treating a ballastless track roadbed, characterized by, The method comprises the following steps: S1, acquiring track inspection vehicle waveform data and / or ground penetrating radar scanning results, and determining the start and end mileages of the subgrade disease based on the track inspection vehicle waveform data and / or ground penetrating radar scanning results; S2, acquiring the physical property parameters of the roadbed filler and the thickness of the subgrade surface layer, taking the thickness of the subgrade surface layer as the drilling depth below the base plate H ; S3, measuring the rheological property parameters of the polyurethane slurry at the ambient temperature, and calibrating the working parameters of the grouting equipment; S4, performing optimization calculation on the grouting process parameters based on the physical property parameters of the subgrade filler and the rheological property parameters of the polyurethane slurry, to obtain the optimized process parameters; the S4 specifically comprises: S41, determining the fine particle loss layer feature thickness based on the field working condition h 1, slurry penetration diffusion volume proportion α , subgrade filler compressibility representation parameter N and γ ; S42, input the physical property parameters of the subgrade filling collected in S2 and the rheological property parameters of the polyurethane slurry measured in S3 into a polyurethane slurry stratified diffusion model established for the diseased subgrade, solve the slurry penetration diffusion theoretical radius through formula (1) of the model l 1max , solve the slurry splitting diffusion theoretical radius through formula (2)~formula (3) l 2max : （1） （2） （3） In the formula, , , , ; N is a parameter for characterizing the splitting toughness of the soil body; γ is a parameter for characterizing the elastic characteristics of the soil body; p is the grouting pressure; q 1 and q 2 are the permeation diffusion rate and the splitting diffusion rate, respectively; κ 1 and k 0 are the consistency coefficients k ; r 0 is the capillary radius in the fine particle loss layer; w is the splitting channel width; p e is the splitting channel expansion pressure; : grouting time; : total grouting rate; : slurry diffusion radius under a single diffusion mode; : base surface layer thickness; : initial radius of the grouting hole; S43, consider model parameters α 、 h 1、 N 、 γ possible deviation range of the value, a series of l 1max and l 2max the calculation result, according to formula (4) to determine the slurry diffusion distance R : （4） Thus, the quantitative relationship between the slurry diffusion distance and the grouting pressure and time is established, and the optimized drilling spacing and grouting pressure that meet the performance constraints of the grouting equipment are solved; S5, formulating a grouting scheme according to the optimized process parameters, and implementing the subgrade disease treatment operation of the ballastless track; S6, testing and evaluating the quality of the treatment operation under the action of the 5Hz and above cyclic load of the ballastless track, and determining that the quality is up to the standard when the dynamic stiffness detection value reaches 120kN / mm or above; otherwise, adjusting the grouting material or implementing compensatory grouting by means of equipment.

2. The method of claim 1, wherein, In the step S2, the grouting drillings are arranged to penetrate through the base bed surface at full depth, the shallow layer is filled with voids and forms a waterproof barrier layer, and the deep layer makes the polyurethane combined with the subgrade filler to form a composite reinforced body, thereby realizing the performance recovery and long-term maintenance of the subgrade.

3. The method of claim 1, wherein, The physical property parameters of the subgrade filler at least include connected porosity of the subgrade filler φ , permeability coefficient K , tensile strength σ t .

4. The method of claim 1, wherein, The polyurethane slurry rheological characteristic parameters at least include consistency coefficient k , rheological index β , foaming hardening time t max The grouting equipment working parameters at least include grouting pressure threshold p max , stable grouting rate q max .

5. The method of claim 1, wherein, In the step S4, the optimization target of the drilling spacing and grouting pressure is that the penetration and diffusion distances of the polyurethane slurry within the foaming and hardening time are both greater than 1 / 2 of the drilling spacing, so as to form a composite reinforced body continuously along the longitudinal direction of the line.

6. The method of claim 1, wherein, In the step S6, the dynamic stiffness of the subgrade is characterized by the dynamic modulus of resilience of the subgrade soil body when the deformation is stable, or is converted by using the multi-channel surface wave method to collect the Rayleigh wave velocity of the subgrade.

7. A ballastless track subgrade treatment device, characterized in that, The device comprises: The acquisition module is used for acquiring track inspection vehicle waveform data and / or ground penetrating radar scanning results, and delimiting the starting and ending mileages of the subgrade disease based on the track inspection vehicle waveform data and / or ground penetrating radar scanning results; and is used for acquiring physical property parameters of subgrade filling and thickness of the subgrade bed surface, and taking the thickness of the subgrade bed surface as the drilling depth below the base plate H ​ a measuring module for measuring the rheological property parameters of the polyurethane slurry at the ambient temperature; a calculating module for performing optimization calculation on the grouting process parameters based on the physical property parameters of the subgrade filler and the rheological property parameters of the polyurethane slurry, to obtain the optimized process parameters; specifically comprising: Determining the characteristic thickness of the fine particle loss layer based on field conditions h 1. slurry permeation diffusion volume ratio α , subgrade filler compressibility representation parameter N and γ ; The collected physical property parameters of the subgrade filler and the determined rheological property parameters of the polyurethane slurry are input into a polyurethane slurry stratified diffusion model established for the diseased subgrade, and a slurry penetration diffusion theoretical radius is solved by formula (1) of the model l 1max , and a slurry splitting diffusion theoretical radius is solved by formula (2) to formula (3) l 2max : （1） （2） （3） wherein, , , , ; N is a parameter representing the splitting toughness of the soil; γ is a parameter representing the elastic characteristics of the soil; p is the grouting pressure; q 1 and q 2 are the permeation diffusion rate and the splitting diffusion rate, respectively; κ 1 and k 0 are the consistency coefficients k representing parameters; r 0 is the capillary radius in the fine particle loss layer; w is the splitting channel width; p e is the splitting channel expansion pressure; : grouting time; : total grouting rate; : slurry diffusion radius in a single diffusion mode; : base surface layer thickness; : initial radius of the grouting hole; Consideration of possible deviations of the model parameters α 、 h 1、 N 、 γ a range of values, a series of l 1max and l 2max the calculated results, according to formula (4) to determine the pulp diffusion distance R : （4） Thus, the quantitative relationship between the slurry diffusion distance and the grouting pressure and time is established, and the optimized drilling spacing and grouting pressure that meet the performance constraints of the grouting equipment are solved; an implementing module for formulating a grouting scheme according to the optimized process parameters, and implementing the subgrade disease treatment operation of the ballastless track; a detecting module for testing and evaluating the quality of the treatment operation under the action of the 5Hz and above cyclic load of the ballastless track, and determining that the quality is up to the standard when the dynamic stiffness detection value reaches 120kN / mm or above; otherwise, adjusting the grouting material or implementing compensatory grouting by means of equipment.

8. An electronic device, comprising: comprise: at least one processor; and a memory connected with the at least one processor in communication; characterized in that the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to execute the method in any one of claims 1-6.

9. A non-transitory computer readable storage medium storing computer instructions, characterized in that, The computer instructions are for causing the computer to perform the method according to any one of claims 1-6. The computer instructions are for causing the computer to perform the method according to any one of claims 1-6.

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