Longitudinal connecting plate type ballastless track refined bar planting modeling and renovation method and system

Abstract

The invention provides a longitudinal connecting plate type ballastless track refined bar planting modeling and renovation method and system, and the method comprises the steps: building a plate type ballastless track-bar planting geometric model, setting a track structure interlayer relation and a track-pin action relation, inputting a temperature load, setting a boundary condition, and calculating a ballastless track temperature effect. Performing deep mining analysis on model calculation data, evaluating the influence of the temperature load on the disease degree, predicting the possible disease development trend in the future, and establishing a disease prediction model; based on a deep mining analysis result, an improvement countermeasure is intelligently adjusted, an improvement scheme is determined, construction preparation, on-site construction, real-time monitoring and improvement effect evaluation are performed according to the improvement scheme, the construction quality and safety are ensured, and the improvement scheme is adjusted and optimized. According to the method, the accurate three-dimensional finite element model is constructed, the reasonable temperature load is applied, and the common embedded steel bar disease factors are introduced, so that the accurate prediction of the upward arch deformation of the track structure is realized.

Description

Technical Field

[0001] The present invention relates to the field of track engineering structures, and more specifically, to a refined rebar planting modeling and rectification method and system for longitudinally connected slab ballastless tracks. Background Art

[0002] CRTS II type slab ballastless tracks have been widely used in domestic and international railway construction due to their good stability, durability and smoothness. However, during long-term operation, due to various factors such as material aging, construction errors, and external environmental impacts, secondary diseases are likely to occur at the rebar planting parts of CRTS II type slab ballastless tracks, such as track slab cracks, deterioration and inclined cracks of the support layer, etc. These diseases not only affect the overall stability and durability of the track structure, but also cause the upward arching deformation of the track structure, which has an adverse impact on the safe operation of trains.

[0003] Currently, there are already some patents in China for the repair methods of the expanded slab of CRTS II type slab ballastless tracks. Patent CN106436492A discloses a repair method for the base slab of CRTS II type slab ballastless tracks, which can realize the repair of base damage within the skylight point, but does not consider the structural stress and deformation after pre-reinforcement; Patent CN109440553A discloses a method for rectifying the upward arching of ballastless tracks based on wire saw cutting, which can effectively alleviate the upward arching problem of longitudinally connected track structures, but is mainly applicable to double-block ballastless tracks and is not applicable to CRTS II type slab ballastless tracks; Patent CN112695577A discloses a repair method and chiseling device for the wide and narrow joints of CRTSII type slab ballastless tracks, which can realize the removal and repair of damaged wide and narrow joints and effectively alleviate the problem of track slab upward arching caused by joints, but its adaptability to the upward arching condition of the track after rebar planting is insufficient and is not applicable to the rectification of track slab upward arching diseases after pre-reinforcement.

[0004] Based on the existing patents, it can be found that although the current patents for the repair of CRTS II type slab ballastless tracks solve the problems of track structure damage and deformation to a certain extent, there are still obvious deficiencies. For example, some patents lack a comprehensive consideration of the structural stress and deformation after pre-reinforcement, resulting in the risk of deformation for the repaired track structure during long-term operation; while some patents are mainly applicable to other types of ballastless tracks and have poor applicability to CRTS II type slab ballastless tracks and cannot be directly applied to the repair of such tracks. In addition, for the possible problem of track slab upward arching after rebar planting, the adaptability of existing patents is also insufficient and it is difficult to effectively deal with the possible diseases after pre-reinforcement. At the same time, when solving the problems of ballastless track deformation and stress, existing patents often ignore the construction complexity, increasing the repair cost and affecting the repair efficiency. Summary of the Invention

[0005] In view of the technical problems existing in the prior art, the present invention provides a refined modeling and rectification method for the post-implanted bars of the longitudinally connected slab ballastless track. By using the refined spatial coupling analysis model of the post-implanted bars of the CRTS II-type slab ballastless track, the upward arching amount of the track slab under different temperatures and different disease degrees is determined, and then analyzed and processed by the intelligent rectification decision-making system to adjust and generate a targeted rectification plan.

[0006] According to the first aspect of the present invention, there is provided a refined modeling and rectification method for the post-implanted bars of the longitudinally connected slab ballastless track, including:

[0007] Establishing a geometric model of the post-implanted bars of the longitudinally connected slab ballastless track;

[0008] Setting the interlayer relationship of the track structure and the track-pin interaction relationship in the geometric model of the post-implanted bars of the longitudinally connected slab ballastless track to generate a spatial coupling analysis model of the longitudinally connected slab ballastless track-pin;

[0009] Setting the disease factors of the track post-implanted bars in the spatial coupling analysis model of the longitudinally connected slab ballastless track-pin;

[0010] Inputting the temperature load, applying the temperature load to the spatial coupling analysis model of the longitudinally connected slab ballastless track-pin in the form of thermal stress, and setting the boundary conditions;

[0011] Calculating the stress and deformation distribution of the spatial coupling analysis model of the longitudinally connected slab ballastless track-pin under the action of the temperature load;

[0012] Mining and analyzing the calculation data of the spatial coupling analysis model of the longitudinally connected slab ballastless track-pin, identifying the correlation between the disease type and the temperature change, evaluating the influence of the temperature load on the disease degree, predicting the disease development trend, and establishing a disease prediction model;

[0013] Based on the results of in-depth mining and analysis, intelligently adjusting the rectification countermeasures and determining the rectification plan;

[0014] Constructing according to the rectification plan, monitoring the rectification effect in real time and evaluating it, and adjusting and optimizing the rectification plan.

[0015] On the basis of the above technical solutions, the present invention can also be improved as follows.

[0016] Optionally, a finite element analysis software is used to establish a geometric model of the post-implanted bars of the longitudinally connected slab ballastless track, and the dimensions, material properties and internal steel bar arrangements of each component are accurately simulated.

[0017] Optionally, setting the interlayer relationship of the track structure and the track-pin interaction relationship in the geometric model of the post-implanted bars of the longitudinally connected slab ballastless track includes:

[0018] The bond relationship between the track slab and the mortar layer is simulated by using an interlayer cohesion model, the interaction relationship after debonding is simulated by using a non-linear frictional contact method, and the interaction relationship between the track structure and the pins is simulated by using a dense non-linear spring connection method.

[0019] Optionally, the track reinforcement disease factors set in the continuous long slab ballastless track-pin space coupling analysis model include:

[0020] According to the disease conditions observed on site, corresponding disease factors are set in the continuous long slab ballastless track-pin space coupling analysis model, and the interaction relationship between the concretes after the base slab cracks is simulated by using a frictional contact method.

[0021] Optionally, the calculation of the stress and deformation distribution of the continuous long slab ballastless track-pin space coupling analysis model under temperature load includes:

[0022] The obtained ballastless track temperature load is applied to the continuous long slab ballastless track-pin space coupling analysis model, so that each unit in the continuous long slab ballastless track-pin space coupling analysis model is assigned a temperature value, and the temperature effect of the ballastless track is analyzed and calculated, including: calculating the stress and deformation distribution of the model under temperature load, especially paying attention to the stress concentration phenomenon in the disease-prone parts, and the influence of temperature deformation on the geometric shape of the track structure.

[0023] Optionally, the in-depth mining and analysis of the calculation data of the continuous long slab ballastless track-pin space coupling analysis model, identifying the correlation between the disease type and temperature change, evaluating the influence of temperature load on the disease degree, predicting the possible future disease development trend, and establishing a disease prediction model include:

[0024] Extract the stress, displacement, and damage data of each component in the continuous long slab ballastless track-pin space coupling analysis model under different temperature loads, and compare the stress, deformation, and damage distribution of the disease-prone parts under different temperature conditions according to the data changes in the set disease areas, so as to identify the correlation between the disease type and temperature change;

[0025] Through quantitative analysis, evaluate the influence of temperature load on the disease degree, draw a curve graph of the disease degree changing with temperature, and combine the long-term temperature monitoring data and the model analysis results to explore the evolution trend of the disease under different temperature conditions;

[0026] Analyze the influence of the periodic change of temperature on the disease development, predict the possible future disease development trend, extract the potential laws and patterns between the disease type, disease degree and temperature conditions, and establish a disease prediction model;

[0027] Compare the analysis results with the on-site monitoring data to clarify the specific impacts of temperature loads on the disease types and degrees, and provide a basis for formulating the rectification plan.

[0028] Optionally, evaluating the impact of the temperature load on the disease degree, predicting the disease development trend, and establishing a disease prediction model includes:

[0029] Apply data mining techniques and machine learning algorithms to extract the potential laws and patterns between disease types, disease degrees, and temperature conditions from a large amount of data, and establish a disease prediction model.

[0030] Optionally, the construction according to the rectification plan, real-time monitoring, and rectification effect evaluation include:

[0031] Based on the in-depth mining analysis results, formulate targeted rectification countermeasures, consider the impact of temperature loads on the rectification effect, ensure the best rectification timing, and comprehensively evaluate considering the cost, construction difficulty, and impact on operation of the rectification plan.

[0032] Optionally, the adjustment and optimization of the rectification plan include:

[0033] First, improve the construction preparation, train the operating personnel to ensure that the construction can be carried out according to the requirements of the rectification plan;

[0034] Subsequently, ensure the construction quality and safety during on-site construction, conduct real-time monitoring of the track state during the construction process, adjust and optimize the rectification plan until the rectification effect reaches the expected goal;

[0035] Finally, conduct real-time monitoring of the track structure after the construction is completed, record the implementation effect of the rectification measures, evaluate whether the rectification effect reaches the expected goal, and if the rectification effect is not ideal or there are other problems, take measures to improve in a timely manner.

[0036] According to the second aspect of the present invention, a refined rebar planting modeling and intelligent rectification system for longitudinally connected slab ballastless track is provided, including:

[0037] A modeling module for establishing a rebar planting geometric model of the longitudinally connected slab ballastless track;

[0038] A relationship setting module for setting the interlayer relationship of the track structure and the track-pin action relationship to generate a spatial coupling analysis model of the longitudinally connected slab ballastless track-pin;

[0039] A disease setting module for setting track rebar planting disease factors in the spatial coupling analysis model of the longitudinally connected slab ballastless track-pin;

[0040] A load and boundary condition setting module for inputting temperature loads and setting reasonable boundary conditions;

[0041] A calculation and analysis module for calculating the temperature effect of the ballastless track;

[0042] A data mining and analysis module for deeply mining and analyzing the calculation data of the longitudinal connection plate ballastless track - pin spatial coupling analysis model to predict the development trend of diseases;

[0043] A rectification plan decision - making module for intelligently adjusting rectification countermeasures and determining rectification plans;

[0044] A construction and monitoring module for constructing according to the rectification plan, conducting real - time monitoring and rectification effect evaluation, and adjusting and optimizing the rectification plan.

[0045] The technical effects and advantages of the present invention:

[0046] A refined rebar planting modeling and rectification method and system for longitudinal connection plate ballastless tracks proposed by the present invention realizes accurate prediction of the upward arch deformation of the track structure by constructing an accurate three - dimensional finite element model, applying reasonable temperature loads, and introducing common rebar planting disease factors. This solution not only improves the accuracy of prediction but also provides a more reliable scientific basis for maintenance and rectification work. Based on the simulation results and intelligent analysis, a more accurate and efficient rectification plan can be formulated, optimizing resource allocation and reducing maintenance costs. At the same time, the application of intelligent rectification technology realizes the intelligence and automation of track structure maintenance, improving the efficiency and response speed of maintenance work. By real - time monitoring and warning of potential disease risks and taking targeted rectification measures in a timely manner, the occurrence of track structure safety accidents is effectively prevented, ensuring the safety and stability of train operation. In summary, the technical solution of this patent integrates advanced technologies in multiple fields, promotes technological innovation and upgrading in the rail transit industry, and improves the overall safety level and operation efficiency. Description of the Drawings

[0047] Figure 1 It is a schematic flow chart of the method provided by the embodiment of the present invention;

[0048] Figure 2 It is a schematic flow chart of the rectification measures provided by the embodiment of the present invention;

[0049] Figure 3 It is a drawing of the disease of the inclined crack and rebar planting at the inclined plane angle of the ballastless track base provided by the embodiment of the present invention;

[0050] Figure 4 It is a drawing of the disease of the inclined crack and rebar planting at the plane angle of the ballastless track base provided by the embodiment of the present invention;

[0051] Figure 5 It is a drawing of the upward arch deformation of the ballastless track and the cloud map of the track damage state at different inclined crack angles and heights obtained by the model calculation provided by the embodiment of the present invention;

[0052] Figure 6 The arch deformation diagrams of the ballastless track and the cloud diagrams of the track damage state at different plane skew crack angles calculated by the model provided in the embodiment of the present invention. Detailed implementation manners

[0053] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0054] It can be understood that based on the defects in the background technology, the embodiment of the present invention proposes a refined rebar planting modeling and rectification method for longitudinally connected slab ballastless tracks, as Figure 1 shown, including the following steps:

[0055] S1. Establish a geometric model of CRTS II type slab ballastless track - rebar planting;

[0056] In this embodiment, the finite element analysis software ABAQUS is used to establish a geometric model of CRTS II type slab ballastless track - rebar planting, establish a geometric model of the ballastless track, and the spatial coupling analysis model of the longitudinally connected slab ballastless track - pin includes refined longitudinally connected structural components - longitudinally connected rebars and tension locking parts. It includes rails, fasteners, track slabs, wide and narrow joints, tension locking parts, longitudinally connected rebars, mortar layers, bases (supporting layers), and rebar planting pins.

[0057] S2. Set the interlayer relationship of the track structure and the track - pin interaction relationship in the geometric model of CRTS II type slab ballastless track - rebar planting to generate a spatial coupling analysis model of the longitudinally connected slab ballastless track - pin;

[0058] In this embodiment, the cohesive model of interlayer cohesion is used to simulate the bonding relationship between the track slab and the mortar layer. When the temperature load acts, it can accurately reflect the change of the bonding state between the two. At the same time, considering the interaction relationship between the track slab and the mortar layer after debonding, the nonlinear friction contact method is used for simulation. The dense nonlinear spring connection method is used to simulate the interaction relationship between the track structure and the pins. Consider the stiffness and damping characteristics of the pins, as well as their deformation and stress under the action of temperature load.

[0059] S3. Set the track rebar planting disease factors in the spatial coupling analysis model of the longitudinally connected slab ballastless track - pin;

[0060] Specifically, according to the actual track disease conditions, disease factors such as cracking of structural components caused by stress concentration in the track structure after implanting steel bars are set in the longitudinal connection plate - type ballastless track - pin spatial coupling analysis model, including:

[0061] ① Problem of diagonal cracks between the base (support layer) layers: According to the diagonal crack phenomenon observed on site between the base layers, the corresponding disease factors are set in the model. The friction contact method is used to simulate the interaction relationship between the concretes after the base cracks, and the influence of cracking on the overall performance of the track structure is considered.

[0062] ② Other disease factors: According to the specific disease types and degrees, such as warping of the track slab and voids in the mortar layer, etc., the corresponding disease factors are set in the model, and their influence on the overall performance of the track structure is considered.

[0063] S4. Input the temperature load and set the boundary conditions, including: Determine the temperature load range according to the long - term temperature monitoring data, apply the temperature load to the longitudinal connection plate - type ballastless track - pin spatial coupling analysis model in the form of thermal stress, and set the boundary conditions;

[0064] Specifically, according to the long - term temperature monitoring data of CRTS II slab - type ballastless track, determine the temperature load range that needs to be applied to the longitudinal connection plate - type ballastless track - pin spatial coupling analysis model. Consider extreme high and low temperature conditions, as well as the periodic law of temperature change. Apply the temperature load to the model in the form of thermal stress to ensure that the longitudinal connection plate - type ballastless track - pin spatial coupling analysis model can accurately reflect the influence of the temperature load on the track structure. According to the actual constraint conditions of the track structure, set reasonable boundary conditions to ensure that the longitudinal connection plate - type ballastless track - pin spatial coupling analysis model can maintain a stable state after applying the temperature load and accurately reflect the actual stress conditions of the track structure.

[0065] S5. Calculate the temperature effect of the ballastless track, including: Calculate the stress and deformation distribution of the longitudinal connection plate - type ballastless track - pin spatial coupling analysis model under the action of the temperature load;

[0066] Specifically, apply the temperature load of the ballastless track obtained in S4 to the longitudinal connection plate - type ballastless track - pin spatial coupling analysis model, assign a temperature value to each unit in the longitudinal connection plate - type ballastless track - pin spatial coupling analysis model, and analyze and calculate the temperature effect of the ballastless track: Calculate the stress and deformation distribution of the model under the action of the temperature load, especially pay attention to the stress concentration phenomenon in the disease - prone parts, and the influence of temperature deformation on the geometric shape of the track structure.

[0067] S6. Deeply mine and analyze the calculation data of the longitudinal connected slab ballastless track - pin spatial coupling analysis model, identify the correlation between the disease types and temperature changes, evaluate the influence of temperature load on the disease degree, predict the possible future disease development trend, and establish a disease prediction model;

[0068] In this embodiment, step S6 specifically includes:

[0069] Extract the key data of stress, displacement, and damage of each component under different temperature loads from the longitudinal connected slab ballastless track - pin spatial coupling analysis model. According to the disease factors set in S3, pay special attention to the data changes in the disease areas (such as the cracked base). Compare the stress, deformation, and damage distribution of each component (especially the disease - prone parts) under different temperature conditions to identify the correlation between the disease types and temperature changes;

[0070] Through quantitative analysis, evaluate the influence of temperature load on the disease degree (such as crack width, displacement, etc.). Draw a curve graph of the disease degree changing with temperature to visually display the dynamic relationship between the two. Combine the long - term temperature monitoring data and the model analysis results to explore the evolution trend of the disease under different temperature conditions;

[0071] Analyze the influence of periodic temperature changes (such as daily changes, seasonal changes) on the disease development, predict the possible future disease development trend. Apply data mining techniques to extract the potential rules and patterns between the disease types, disease degrees, and temperature conditions from a large amount of data. Use machine learning algorithms to establish a disease prediction model to improve the prediction accuracy of future disease occurrences.

[0072] Compare and verify the analysis results with the on - site monitoring data to ensure the accuracy and reliability of the analysis. Provide a detailed explanation of the analysis results, clarify the specific influence of temperature load on the disease types and disease degrees, and provide a scientific basis for formulating the treatment plan.

[0073] S7. Based on the results of in - depth mining and analysis, intelligently adjust the treatment countermeasures and determine the treatment plan;

[0074] In this embodiment, based on the results of in - depth mining and analysis of the model calculation data in step S6, intelligently adjust the treatment countermeasures and decide the final treatment plan. Specifically, first, according to the analysis results of step S6, initially formulate targeted treatment countermeasures, including replacing the inclined - cracked base (support layer), replacing the cracked wide - narrow joints, replacing or strengthening the implanted bars, etc. At the same time, consider the influence of temperature load on the treatment effect to ensure the best treatment timing. Consider factors such as the cost, construction difficulty, and impact on operation of the treatment plan, and conduct a comprehensive evaluation to ensure the economy, feasibility, and effectiveness of the treatment plan. According to the results of intelligent optimization and decision - making, formulate a detailed treatment plan. Clearly define the treatment objectives, scope, methods, steps, and schedule.

[0075] S8. Conduct construction preparation, on-site construction, real-time monitoring, and evaluation of the renovation effect in accordance with the renovation plan to ensure construction quality and safety, and adjust and optimize the renovation plan.

[0076] In this embodiment, step S8 specifically includes:

[0077] First, improve the construction preparation, train the operating personnel to ensure that construction can be carried out in accordance with the requirements of the renovation plan. Subsequently, ensure construction quality and safety during on-site construction. At the same time, conduct real-time monitoring of the track status during the construction process and adjust and optimize the renovation plan at any time. Finally, conduct real-time monitoring of the track structure after construction is completed, record the implementation effect of the renovation measures, and evaluate whether the renovation effect meets the expected goals. If the renovation effect is not ideal or there are other problems, take timely measures for improvement.

[0078] Taking the replacement of the supporting layer as an example, specifically as Figure 2 shown, the renovation is divided into 2 stages. The first stage: chiseling and cleaning the shoulder closure layer; implanting and anchoring steel bars in the track slab; setting the transverse joints of the supporting layer; filling the transverse joints of the supporting layer; grouting the separation joints under the track slab; restoring the shoulder closure layer; renovating the bed mud pumping; fine-tuning the rails. The second stage: chiseling and cleaning the shoulder and between-track closure layers; removing the supporting layer wider than the outside of the track slab; drilling holes horizontally and cutting the supporting layer into blocks; temporarily supporting the cutting joint pads; pushing the supporting layer; re-pouring the supporting layer; implanting steel bars in the track bed slab at the damaged replacement part of the supporting layer; restoring the grouting closure layer at the bottom of the slab + fine-tuning the rails. The inclined plane angle of the ballastless track base and the diseases of the inclined cracks in the plane of the implanting steel bars are respectively as Figure 3 and Figure 4 shown. The SDEG index characterizes the damage degree of the concrete material of the track structure, ranging from 0 to 1, where 0 indicates no damage and 1 indicates complete damage and failure. The cloud diagram in the figure shows that as the inclined crack angle and the inclined crack height increase, the damage range and damage degree of the track structure are also increasing continuously.

[0079] The present invention adopts a refined steel bar implanting modeling and intelligent renovation method for longitudinally connected slab ballastless tracks, mainly focusing on the construction of a refined modeling and intelligent renovation analysis system. First, use advanced finite element analysis software to establish a three-dimensional geometric model according to the actual structure of the CRTS II type slab ballastless track. The components from top to bottom are rails, fasteners, track slabs, wide and narrow joints, longitudinally connected steel bars and tension locks, mortar layers, bases (supporting layers), and lower foundations. According to the actual steel bar implanting situation, establish a solid pin model and embed it into the ballastless track model to establish an accurate three-dimensional finite element analysis model of the longitudinally connected ballastless track - pins. The model fully considers the steel bar implanting position, size, material properties, and their non-linear interaction relationship with the surrounding concrete to ensure the accuracy and reliability of the model.

[0080] Apply reasonable temperature loads to the model to simulate the stress state of the track structure under different temperature conditions. At the same time, introduce common factors of diseases in planted bars, such as the inclined crack angle and depth of the supporting layer, and simulate the influence of these diseases on the stability of the track structure by adjusting the model parameters.

[0081] During the simulation calculation process, adopt an efficient calculation method to quickly and accurately solve key parameters such as the stress, strain, and displacement of the track structure, especially pay attention to the occurrence and development of the upward arch deformation. By comparing the simulation results under different working conditions, analyze the influence law of diseases on the deformation of the track structure, and provide a scientific basis for subsequent rectification measures.

[0082] Based on the simulation results, develop an intelligent rectification technology. Use machine learning or deep learning algorithms to deeply mine and analyze the simulation data, and establish a quantitative relationship model between diseases and the deformation of the track structure. This model can predict the deformation of the track structure under different temperature loads according to the input disease type and degree, and give corresponding maintenance and rectification suggestions.

[0083] Finally, combine the intelligent rectification technology with the actual maintenance management to form a complete track structure maintenance management system. The upward arch deformation diagrams of the ballastless track and the cloud diagrams of the track damage state under different plane and inclined crack angles calculated by the model are as Figure 5 - and Figure 6 shown. By real-time monitoring the deformation of the track structure, potential disease risks can be timely warned, guiding maintenance personnel to take targeted rectification measures to ensure the safety and stability of the track structure.

[0084] According to the second aspect of the present invention, there is provided a refined planted bar modeling and intelligent rectification system for longitudinally connected slab ballastless tracks, including:

[0085] A modeling module for establishing a geometric model of planted bars for slab ballastless tracks;

[0086] A relationship setting module for setting the interlayer relationship of the track structure and the track-pin interaction relationship to generate a spatial coupling analysis model of longitudinally connected slab ballastless tracks - pins;

[0087] A disease setting module for setting disease factors of track planted bars in the spatial coupling analysis model of longitudinally connected slab ballastless tracks - pins;

[0088] A load and boundary condition setting module for inputting temperature loads and setting reasonable boundary conditions;

[0089] A calculation and analysis module for calculating the temperature effect of the ballastless track;

[0090] A data mining and analysis module for deeply mining and analyzing the calculation data of the longitudinal connection plate ballastless track-pin spatial coupling analysis model to predict the development trend of diseases.

[0091] A rectification plan decision-making module for intelligently adjusting rectification countermeasures and determining rectification plans.

[0092] A construction and monitoring module for carrying out construction preparation, on-site construction, real-time monitoring and rectification effect evaluation according to the rectification plan.

[0093] It can be understood that a longitudinal connection plate ballastless track refined rebar planting modeling and intelligent rectification system provided by the present invention corresponds to a longitudinal connection plate ballastless track refined rebar planting modeling and rectification method provided by the foregoing embodiments. The relevant technical features of a longitudinal connection plate ballastless track refined rebar planting modeling and intelligent rectification system can refer to the relevant technical features of a longitudinal connection plate ballastless track refined rebar planting modeling and rectification method, which will not be elaborated here.

[0094] Therefore, a technical solution for refined rebar planting modeling and intelligent rectification of CRTS II type slab ballastless track provided by the embodiments of the present invention aims to accurately predict and effectively rectify the upward arching deformation problem of the track structure under the influence of temperature load and rebar planting diseases through scientific methods and processes. The refined spatial coupling analysis model of CRTS II type slab ballastless track rebar planting is used to determine the upward arching amount of the track slab under different temperatures and different disease degrees, and then analyzed and processed by the intelligent rectification decision-making system to adjust and generate targeted rectification plans.

[0095] Finally, it should be noted that the above are only the preferred embodiments of the present invention and are not used to limit the present invention. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions recorded in the foregoing embodiments, or perform equivalent replacements for some of the technical features. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A refined rebar planting modeling and rectification method for longitudinal connection plate ballastless track, characterized in that Including: Establish a geometric model of the post - installed bars in the longitudinally - connected slab ballastless track; Set the inter - layer relationship of the track structure and the track - pin interaction relationship in the geometric model of the post - installed bars in the longitudinally - connected slab ballastless track to generate a spatial coupling analysis model of the longitudinally - connected slab ballastless track - pin; Set the disease factors of the track post - installed bars in the spatial coupling analysis model of the longitudinally - connected slab ballastless track - pin; Input the temperature load, apply the temperature load to the spatial coupling analysis model of the longitudinally - connected slab ballastless track - pin in the form of thermal stress, and set the boundary conditions; Calculate the stress and deformation distribution of the spatial coupling analysis model of the longitudinally - connected slab ballastless track - pin under the action of the temperature load; Mine and analyze the calculation data of the spatial coupling analysis model of the longitudinally - connected slab ballastless track - pin, identify the correlation between the disease type and temperature change, evaluate the influence of the temperature load on the disease degree, predict the development trend of the disease, and establish a disease prediction model; Based on the results of in - depth mining and analysis, intelligently adjust the treatment countermeasures and determine the treatment plan; Carry out construction according to the treatment plan, conduct real - time monitoring and evaluation of the treatment effect, and adjust and optimize the treatment plan.

2. The refined rebar planting modeling and rectification method for longitudinally connected slab ballastless track according to claim 1, wherein, Use finite - element analysis software to establish a geometric model of the post - installed bars in the longitudinally - connected slab ballastless track, and accurately simulate the dimensions, material properties and internal steel bar arrangements of each component.

3. The refined modeling and rectification method for post-embedded bars of longitudinally connected slab ballastless track according to claim 1, characterized in that, Setting the inter - layer relationship of the track structure and the track - pin interaction relationship in the geometric model of the post - installed bars in the longitudinally - connected slab ballastless track includes: Use the cohesive - zone model between layers to simulate the bonding relationship between the track slab and the mortar layer, use the non - linear friction contact method to simulate the interaction relationship after debonding, and at the same time use the dense non - linear spring connection method to simulate the interaction relationship between the track structure and the pins.

4. The refined rebar planting modeling and rectification method for longitudinally connected slab ballastless track according to claim 1, characterized in that, The setting of the disease factors of the track post - installed bars in the spatial coupling analysis model of the longitudinally - connected slab ballastless track - pin includes: According to the disease conditions observed on - site, set the corresponding disease factors in the spatial coupling analysis model of the longitudinally - connected slab ballastless track - pin, and use the friction contact method to simulate the interaction relationship between the concrete after the base slab cracks.

5. The refined rebar planting modeling and rectification method for longitudinally connected slab ballastless track according to claim 1, characterized in that, The calculation of the stress and deformation distribution of the spatial coupling analysis model of the longitudinally - connected slab ballastless track - pin under the action of the temperature load includes: Apply the obtained ballastless track temperature load to the spatial coupling analysis model of the longitudinally - connected slab ballastless track - pin, so that each unit in the spatial coupling analysis model of the longitudinally - connected slab ballastless track - pin is given a temperature value, and analyze and calculate the temperature effect of the ballastless track, including: calculating the stress and deformation distribution of the model under the action of the temperature load, especially paying attention to the stress concentration phenomenon in the disease - prone parts, and the influence of temperature deformation on the geometric shape of the track structure.

6. The refined rebar planting modeling and rectification method for longitudinal connected slab ballastless track according to claim 1, characterized in that, The in - depth mining and analysis of the calculation data of the spatial coupling analysis model of the longitudinally - connected slab ballastless track - pin, identifying the correlation between the disease type and temperature change, evaluating the influence of the temperature load on the disease degree, predicting the possible future development trend of the disease, and establishing a disease prediction model includes: Extract the stress, displacement, and damage data of each component under different temperature loads from the longitudinal connection slab ballastless track-pin spatial coupling analysis model. According to the data changes in the set disease area, compare the stress, deformation, and damage distribution of the disease-prone parts under different temperature conditions, and identify the correlation between the disease type and temperature change; Through quantitative analysis, evaluate the influence of temperature load on the disease degree, draw a curve of the disease degree changing with temperature, and combine the long-term temperature monitoring data and the model analysis results to explore the evolution trend of the disease under different temperature conditions; Analyze the influence of the periodic change of temperature on the development of the disease, predict the possible future development trend of the disease, extract the potential laws and patterns between the disease type, disease degree, and temperature condition, and establish a disease prediction model; Compare and verify the analysis results with the on-site monitoring data to clarify the specific influence of temperature load on the disease type and disease degree, and provide a basis for formulating the treatment plan.

7. A refined rebar planting modeling and rectification method for longitudinally connected slab ballastless track according to claim 6, characterized in that, The evaluation of the influence of temperature load on the disease degree, prediction of the disease development trend, and establishment of a disease prediction model include: Apply data mining techniques and machine learning algorithms to extract the potential laws and patterns between the disease type, disease degree, and temperature condition from a large amount of data, and establish a disease prediction model.

8. The refined rebar planting modeling and rectification method for longitudinally connected slab ballastless track according to claim 1, characterized in that, The construction according to the treatment plan, real-time monitoring, and treatment effect evaluation include: According to the in-depth mining analysis results, formulate targeted treatment countermeasures, consider the influence of temperature load on the treatment effect, ensure the best treatment timing, and comprehensively evaluate considering the cost, construction difficulty, and influence on operation of the treatment plan.

9. The refined rebar planting modeling and rectification method for longitudinally connected slab ballastless track according to claim 1, characterized in that The adjustment and optimization of the treatment plan include: First, improve the construction preparation, train the operating personnel to ensure that the construction can be carried out according to the requirements of the treatment plan; Subsequently, ensure the construction quality and safety during on-site construction, conduct real-time monitoring of the track state during the construction process, adjust and optimize the treatment plan until the treatment effect reaches the expected goal; Finally, conduct real-time monitoring of the track structure after the construction is completed, record the implementation effect of the treatment measures, evaluate whether the treatment effect reaches the expected goal, and if the treatment effect is not ideal or there are other problems, take measures to improve in a timely manner.

10. A refined rebar planting modeling and intelligent rectification system for longitudinally connected slab ballastless track, characterized in that Include: A modeling module for establishing a geometric model of the implanted bars in the longitudinal connection slab ballastless track; A relationship setting module for setting the interlayer relationship of the track structure and the track-pin interaction relationship to generate a longitudinal connection slab ballastless track-pin spatial coupling analysis model; A disease setting module for setting the disease factors of the track implanted bars in the longitudinal connection slab ballastless track-pin spatial coupling analysis model; A load and boundary condition setting module for inputting the temperature load and setting reasonable boundary conditions; A calculation and analysis module for calculating the temperature effect of the ballastless track; A data mining and analysis module for deeply mining and analyzing the calculation data of the longitudinal connection slab ballastless track-pin spatial coupling analysis model to predict the development trend of the disease; A treatment plan decision-making module for intelligently adjusting the treatment countermeasures and determining the treatment plan; A construction and monitoring module for constructing according to the treatment plan, conducting real-time monitoring and treatment effect evaluation, and adjusting and optimizing the treatment plan.

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