A roadbed disease repair method based on jet grouting reinforcement

Abstract

The present invention discloses a method for repairing roadbed defects based on jet grouting pile reinforcement, which relates to the technical field of road engineering. The method comprises: obtaining the scope of the target roadbed defect to be repaired, and constructing a three-dimensional model according to its multi-dimensional characteristics. Reading a predetermined reinforcement index to construct a reinforcement space, extracting a first reinforcement strategy, and simulating and processing it in the model to obtain simulation information. Introducing an evaluation function to analyze the simulation information to obtain the reinforcement fitness, and judging whether the limit value is reached. If reached, the strategy is used as the optimal strategy to repair the target range. The technical problems in the existing roadbed defect repair, such as the misjudgment of the scope and characteristics due to the lack of detailed investigation and analysis, the lack of in-depth cause analysis resulting in the lack of scientific basis for the strategy, and the unreasonable allocation of resources resulting in poor repair effects, are solved. By carrying out targeted reinforcement for the roadbed defect, the reinforcement plan is optimized on the basis of ensuring the reinforcement quality, and the technical effect of improving the rationality and scientificity of the reinforcement strategy is achieved.

Description

Technical Field

[0001] The present application relates to the technical field of road engineering, and in particular to a method for repairing roadbed damage based on jet grouting pile reinforcement. Background Art

[0002] In road engineering, the repair of roadbed diseases faces many difficulties. Traditional repair methods often rely on experience, without comprehensive and detailed investigation and analysis of the diseases, which leads to misjudgment of the scope and characteristics of the diseases, and thus the inability to accurately prescribe the right medicine for the repair plan. There has also been no in-depth scientific analysis of the causes of the diseases, making it difficult to accurately know the severity and future direction of the diseases, resulting in a lack of scientific basis for the repair strategy. Moreover, the allocation of repair resources is extremely unreasonable, and they cannot be accurately allocated according to the actual situation of the diseases. As a result, some areas are either over-repaired or some areas are far from adequately repaired.

[0003] At present, there are technical problems in the relevant technologies, such as misjudgment of scope and characteristics due to inaccurate investigation and analysis, lack of in-depth cause analysis resulting in a lack of scientific basis for the strategy, and unreasonable resource allocation leading to poor repair results in the repair of roadbed diseases. Summary of the invention

[0004] The present application provides a method for repairing roadbed defects based on jet grouting pile reinforcement, which obtains the scope of the target roadbed defect to be repaired and constructs a three-dimensional model according to its multi-dimensional characteristics. The predetermined reinforcement index is read to construct the reinforcement space, and the first reinforcement strategy is extracted and simulated in the model to obtain simulation information. An evaluation function is introduced to analyze the simulation information to obtain the reinforcement fitness, and it is determined whether the limit value is reached. If it is reached, the strategy is used as the optimal strategy to repair the target range, thereby achieving targeted reinforcement of roadbed defects, optimizing the reinforcement plan on the basis of ensuring the quality of reinforcement, and achieving the technical effect of improving the rationality and scientificity of the reinforcement strategy.

[0005] The present application provides a method for repairing roadbed damage based on jet grouting pile reinforcement, comprising:

[0006] Obtain a target repair range, wherein the target repair range refers to the range of target roadbed damage to be reinforced and repaired; construct a three-dimensional damage model according to the target multi-dimensional characteristics of the target repair range; read a predetermined reinforcement index, and construct a reinforcement space based on the predetermined index parameter limit of the predetermined reinforcement index; extract a first reinforcement strategy in the reinforcement space, and simulate reinforcement and repair processing of the first reinforcement strategy in the three-dimensional damage model to obtain first simulation information; introduce a predetermined reinforcement and repair quality evaluation function as a reinforcement evaluation index, and analyze the first simulation information based on the reinforcement evaluation index to obtain a first reinforcement fitness; determine whether the first reinforcement fitness reaches a predetermined fitness limit; if so, record the first reinforcement strategy as an optimal reinforcement strategy, and perform repair execution on the target repair range based on the optimal reinforcement strategy.

[0007] In a possible implementation, a three-dimensional disease model is constructed according to the target multi-dimensional features of the target restoration range, and the following processing is performed:

[0008] Obtain target disease characteristic information of the target roadbed disease, wherein the target disease characteristic information includes a target disease type and a target disease degree; randomly obtain target soil samples in the target repair range, and detect and analyze the target soil samples to obtain a target initial silt M value; and construct the target multidimensional feature based on the target disease type, the target disease degree and the target initial silt M value.

[0009] In a possible implementation, a three-dimensional disease model is constructed according to the target multi-dimensional features of the target restoration range, and the following processing is performed:

[0010] Extracting a first disease model from a disease model database, wherein the first disease model has an identifier of a first multidimensional feature; calculating a first feature similarity between the first multidimensional feature and the target multidimensional feature; and when the first feature similarity reaches a predetermined similarity limit, using the first disease model as the three-dimensional disease model.

[0011] In a possible implementation, a predetermined reinforcement index is read, and a reinforcement space is constructed based on a predetermined index parameter limit of the predetermined reinforcement index, and the following processing is performed:

[0012] The predetermined reinforcement indicators include predetermined layout indicators and predetermined material indicators of the jet grouting piles. The predetermined layout indicators include the pile diameter, pile length and pile spacing of the jet grouting piles. The predetermined material indicators include the type of curing agent and construction water of the jet grouting piles.

[0013] In a possible implementation, a predetermined reinforcement and repair quality evaluation function is introduced as a reinforcement evaluation index, and the first simulation information is analyzed based on the reinforcement evaluation index to obtain a first reinforcement fitness, and the following processing is performed:

[0014] Extracting first simulated silt characteristic information from the first simulation information; analyzing the first simulated silt characteristic information based on the predetermined reinforcement and repair quality evaluation function to obtain the first reinforcement fitness, wherein the expression of the predetermined reinforcement and repair quality evaluation function is as follows: ;in, Refers to the first reinforcement strategy The first reinforcement fitness, refers to the target silt density of the target soil sample, refers to the first silt moisture content in the first simulated silt characteristic information, It refers to the first simulated silt feature information Particle content of silt particles , refers to the The weight coefficients of the silt particles are: Powdered soil particles, and and are the first simulation coefficient and the second simulation coefficient respectively, and They refer to the first coefficient and the second coefficient respectively.

[0015] In a possible implementation, if it is reached, after determining whether the first reinforcement fitness reaches a predetermined fitness limit, the following processing is performed:

[0016] Step a: If the first reinforcement fitness does not reach the predetermined fitness limit, extract the second reinforcement strategy in the reinforcement space; Step b: Analyze the second simulation information of the second reinforcement strategy based on the reinforcement evaluation index to obtain the second reinforcement fitness; Step c: Determine the optimal reinforcement strategy by comparing the second reinforcement fitness with the first reinforcement fitness; Step d: Repeat steps a to c until a predetermined number of repetitions is reached, and output the optimal reinforcement strategy at that time.

[0017] In a possible implementation, the target repair range is repaired based on the optimal reinforcement strategy, and the following processing is performed:

[0018] Dynamic monitoring obtains target real-time repair execution information, which includes real-time consolidation body status information and real-time construction control information; analyzing the real-time consolidation body status information to obtain a real-time consolidation body quality index; issuing a construction adjustment instruction when the real-time consolidation body quality index does not meet a predetermined consolidation body quality benchmark; and dynamically adjusting the real-time construction control information based on the construction adjustment instruction.

[0019] In a possible implementation, dynamic monitoring obtains target real-time repair execution information, which includes real-time consolidation body state information and real-time construction control information, and performs the following processing:

[0020] The real-time consolidated body state information at least includes real-time consolidated body density, real-time consolidated body strength and real-time consolidated body bearing capacity.

[0021] In a possible implementation, dynamic monitoring obtains target real-time repair execution information, which includes real-time consolidation body state information and real-time construction control information, and performs the following processing:

[0022] The real-time construction control information at least includes real-time injection pressure, real-time lifting speed, real-time rotation speed and real-time curing agent flow rate.

[0023] The present application proposes a method for repairing roadbed defects based on jet grouting pile reinforcement. First, the scope of the target roadbed defect to be repaired is obtained, and a three-dimensional model is constructed according to its multi-dimensional characteristics. The predetermined reinforcement index is read to construct the reinforcement space, and the first reinforcement strategy is extracted and simulated in the model to obtain simulation information. An evaluation function is introduced to analyze the simulation information to obtain the reinforcement fitness, and it is determined whether the limit value is reached. If it is reached, the strategy is used as the optimal strategy to repair the target range. By carrying out targeted reinforcement for the roadbed defects and ensuring the quality of reinforcement, the reinforcement plan is optimized, thereby achieving the technical effect of improving the rationality and scientificity of the reinforcement strategy. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] In order to more clearly illustrate the technical solution of the embodiment of the present invention, the accompanying drawings of the embodiment of the present invention will be briefly introduced below. A flow chart is used in the present application to illustrate the operations performed by the system according to the embodiment of the present application. It should be understood that the preceding or following operations are not necessarily performed accurately in order. On the contrary, various steps can be processed in reverse order or simultaneously as needed. At the same time, other operations can also be added to these processes, or one or more operations can be removed from these processes.

[0025] Figure 1 A schematic diagram of a process for repairing roadbed damage based on jet grouting reinforcement provided in an embodiment of the present application;

[0026] Figure 2 A schematic flow chart of an output optimal reinforcement strategy for a roadbed damage repair method based on jet grouting pile reinforcement provided in an embodiment of the present application. DETAILED DESCRIPTION

[0027] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented in accordance with the contents of the specification. In order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are listed below.

[0028] In order to make the purpose, technical solutions and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings. The described embodiments should not be regarded as limiting the present application. All other embodiments obtained by ordinary technicians in the field without making creative work are within the scope of protection of this application.

[0029] In the following description, reference is made to "some embodiments", which describe a subset of all possible embodiments, but it is understood that "some embodiments" may be the same subset or different subsets of all possible embodiments, and may be combined with each other without conflict, and the terms "first\second" involved are merely to distinguish similar objects and do not represent a specific ordering of objects. The terms "including" and "having" and any variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product, or server that includes a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or modules that are not clearly listed or inherent to these processes, methods, products, or devices. Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those generally understood by technicians in the technical field of this application. The terms used herein are for the purpose of describing the embodiments of the present application only.

[0030] The present application embodiment provides a method for repairing roadbed damage based on jet grouting pile reinforcement, such as Figure 1 As shown, the method includes:

[0031] Step S100, obtain the target repair range, which refers to the range of the target roadbed disease to be reinforced and repaired. Specifically, a professional survey team is organized, including geological engineers, road inspection experts and other relevant personnel. The survey team uses a variety of detection equipment and technical means, such as geological radar, ultrasonic detectors, high-precision levels, etc., to conduct a comprehensive and detailed inspection of the roadbed. During the inspection process, focus on the cracks, settlement, collapse and other obvious signs of disease on the surface of the roadbed, and deeply explore the structural changes inside the roadbed, such as loose soil, voids, and groundwater distribution. The traffic flow, service life, surrounding environment and other factors of the road will also be recorded and analyzed in detail. These factors are related to the formation and development of the disease. After the inspection is completed, the collected data will be comprehensively analyzed and compared with the normal roadbed. The standard parameters and the data obtained from the test accurately define the area where there are diseases and need to be reinforced and repaired. The determination of the scope should not only consider the diseased areas that have already appeared, but also estimate the surrounding areas that may be potentially affected and may develop into diseases in the future. In order to present the target repair range more clearly, the GIS technology or professional drawing software will be used to draw a detailed map of the diseased area, and the specific location, shape, size and depth of the disease will be clearly marked in the map. The determined target repair range and related detailed data will be compiled into a report as an important basis for the subsequent formulation of repair plans and construction. For example, a section of highway has experienced multiple settlements after long-term use. The survey team first arranged multiple detection points in and around the settlement area, and used geological radar to scan the internal structure of the roadbed. It was found that there were loose soil and cavities under the settlement area, and the soil layer within a certain range around it also showed signs of instability. After comprehensive analysis, the settlement area and the surrounding parts that may be affected were jointly defined as the target repair range, and the boundaries of the range and various detailed parameters were accurately marked in the drawn disease area map.

[0032] Step S200, constructing a three-dimensional disease model according to the target multi-dimensional features of the target repair range. Specifically, after obtaining the target repair range, a three-dimensional disease model is constructed based on its multi-dimensional characteristics. First, a comprehensive and in-depth feature extraction is performed on the diseases within the target repair range. The multi-dimensional characteristics include but are not limited to the type of disease (such as cracks, settlements, landslides, etc.), the degree of the disease (mild, moderate, severe), the distribution pattern of the disease (concentrated or dispersed), the stratum structure (soil layer type, thickness, rock and soil properties), the groundwater level, and the influence of the surrounding environment (such as nearby buildings, rivers, traffic loads, etc.). The extracted multi-dimensional features are digitized using geological modeling software and computer-aided design tools. According to the actual measured data, the geometric shape, size, and location of the disease are input. For parameters such as stratum structure and rock and soil properties, values ​​are assigned through geological survey reports and experimental analysis results. In the modeling process, a hierarchical modeling method is used to clearly display the distribution and characteristics of different strata. For the diseased area, special annotations and renderings are performed to highlight its difference from the normal roadbed. Considering the impact of changes in groundwater levels on the disease, Dynamic simulation is used to reflect its changes under different conditions. In order to make the model more realistic and accurate, mathematical models and physical simulation algorithms are introduced. For example, the finite element analysis method is used to simulate the stress distribution and deformation of the roadbed under different loads, so as to more accurately reflect the development trend of the disease and the possible impact range. After the initial three-dimensional model is constructed, it is necessary to conduct repeated verification and optimization, compare the prediction results of the model with the actual survey data and monitoring data, and continuously adjust the parameters and structure of the model until the model can accurately reflect the actual situation of the roadbed disease within the target repair range. For example, for a roadbed disease with severe settlement, when modeling, the shape, depth, type and thickness of the surrounding soil layer, groundwater level and other characteristics of the settlement area are input in detail. The settlement development under vehicle load is simulated by finite element analysis. It is found that there is a deviation between the model prediction and the actual monitored settlement change trend. After multiple adjustments to the soil layer parameters and load settings, the model can finally accurately predict the development of the disease, providing a reliable basis for subsequent repair plans.

[0033] In a possible implementation, a three-dimensional disease model is constructed according to the target multi-dimensional characteristics of the target repair range, and step S200 further includes step S210, obtaining the target disease characteristic information of the target roadbed disease, and the target disease characteristic information includes the target disease type and the target disease degree. Specifically, the characteristic information of the target roadbed disease is obtained through professional survey and detection means. The survey personnel will conduct a detailed field investigation of the target road section, observe the surface condition of the roadbed, and judge the external manifestation of the disease, so as to determine the target disease type, such as settlement, collapse or landslide, etc. High-precision measuring instruments, such as total stations, levels, etc., are used to measure the range and depth of the disease. For the measurement of the range, the size of the area affected by the disease will be accurately defined, which will determine the layout range and number of the subsequent jet grouting piles. For the measurement of the depth, the depth of the disease must be clarified to affect the design length of the jet grouting piles, and ensure that the pile body can penetrate into the stable soil layer to achieve a good reinforcement effect.

[0034] Step S220, randomly obtain the target soil sample in the target repair range, and test and analyze the target soil sample to obtain the target initial silt M value. Specifically, within the target repair range, randomly select representative soil samples, and the sample selection location will comprehensively consider the different parts of the diseased area and the surrounding areas that may be affected. The collected soil samples will be sent to a professional laboratory for testing and analysis. The laboratory will use various advanced testing equipment and analysis methods, such as particle size analysis, liquid limit test, compression test, etc., to conduct a comprehensive test of the physical and mechanical properties of the soil samples. Through a series of analysis and calculations, the target initial silt M value is finally obtained. This value will provide an important parameter basis for subsequent disease analysis and repair strategy formulation.

[0035] Step S230, the target multi-dimensional features are constructed based on the target disease type, the target disease degree and the target initial silt M value. Specifically, the target disease type, the clear target disease degree and the target initial silt M value obtained through detection and analysis are integrated and comprehensively analyzed. The information is interrelated and complementary to each other, and together constitutes a multi-dimensional feature describing the target roadbed disease. For example, if the disease type is settlement, and the disease range is large and the depth is deep, and the initial silt M value is low, indicating that the soil is relatively soft, then these characteristics can be combined to understand the complex situation of the disease more comprehensively and accurately, providing a solid foundation for formulating a scientific and reasonable repair plan.

[0036] In a possible implementation, a three-dimensional disease model is constructed according to the target multidimensional features of the target repair range, and step S200 further includes step S240, extracting a first disease model in a disease model database, wherein the first disease model has an identifier of a first multidimensional feature. Specifically, the disease model database is accessed, and a large number of stored disease models are effectively organized and managed by using data classification and indexing technology in the database. A sample marked as the first disease model is screened out from the database through a search algorithm based on keywords or specific conditions, such as a search based on key attributes such as disease type, degree, and soil type. The first multidimensional feature identifier of the model is described in detail in the form of a multidimensional vector or feature matrix, including information on the disease type (such as settlement, collapse, landslide, etc. represented by digital coding), the degree of disease (represented by a specific numerical range, such as 0-1 representing a degree from mild to severe), soil properties (described by physical parameters of the soil, such as particle size distribution, water content, porosity, etc.), and other aspects.

[0037] Step S250, calculating the first feature similarity between the first multidimensional feature and the target multidimensional feature. Specifically, after obtaining the multidimensional features of the first disease model and the multidimensional features of the previously determined target disease, a similarity calculation algorithm based on Euclidean distance is used to calculate the square sum of the difference of the feature values ​​of each dimension, and then take the square root to obtain the distance value. The smaller the distance value, the higher the similarity. The similarity values ​​on multiple dimensions are comprehensively considered, and a comprehensive value that can reflect the overall similarity between the two is calculated by weighted average or comprehensive scoring method.

[0038] Step S260, when the first feature similarity reaches a predetermined similarity limit, the first disease model is used as the three-dimensional disease model. Specifically, a threshold indicating a sufficiently high similarity is set in advance according to experience and engineering requirements, that is, a predetermined similarity limit, and the calculated first feature similarity is compared with the limit. If the first feature similarity reaches or exceeds the predetermined limit, it is considered that the first disease model is sufficiently similar to the target disease in terms of features, and it can be used as the basis for building a three-dimensional disease model, making full use of the mature data and structure of the existing model, avoiding the tedious process of modeling from scratch, and at the same time, with the help of the experience and optimization strategy of the existing model in the treatment of similar diseases, more accurately and efficiently simulating and analyzing the situation of the target disease, providing strong support for the subsequent formulation of repair plans, for example, assuming that the multidimensional feature identifier of the first disease model in the database indicates that it is a moderate settlement disease (coded as 2), the affected area is about 20 square meters (value is 20), the depth is 3 meters (value is 3), the soil is silty clay (coded as 1), and its feature vector is expressed as A=[2,20,3,1]. The multidimensional characteristics of the target disease are moderate settlement (coded as 2), impact area of ​​18 square meters (value 18), depth of 2.5 meters (value 2.5), and silty clay (coded as 1). The characteristic vector is expressed as B=[2,18,2.5,1]. The distance calculated by the Euclidean distance algorithm is 2.7. Assuming the preset limit is 3, because 2.7<3, it is considered that the similarity between the two is high enough, and the first disease model can be directly used as the three-dimensional disease model for subsequent analysis and processing.

[0039] Step S300, reading a predetermined reinforcement index, and constructing a reinforcement space based on a predetermined index parameter limit of the predetermined reinforcement index. Specifically, the system reads the predetermined reinforcement indicators from the database or the preset configuration file. The predetermined reinforcement indicators are a series of key parameters determined through the accumulation of previous engineering experience, theoretical research and relevant specifications. The predetermined reinforcement indicators usually include a variety of specific parameters of the rotary jet pile, such as pile diameter, pile length, pile spacing, type and amount of curing agent, requirements for construction water, etc. For each indicator, there is a corresponding predetermined indicator parameter limit. Taking the pile diameter as an example, the limit range may be 0.5 meters to 1.2 meters; the limit of the pile length may be 5 meters to 15 meters; the limit of the pile spacing may be 1 meter to 2 meters. After obtaining these indicators and limits, the reinforcement space is constructed based on the predetermined indicator parameter limits. The reinforcement space is actually a multi-dimensional parameter combination space. For example, assuming that there are 3 possible values ​​for the pile diameter (0.5 meters, 0.8 meters, and 1.2 meters), there are 4 possible values ​​for the pile length (5 meters, 8 meters, 10 meters, and 15 meters), and there are 3 possible values ​​for the pile spacing (1 meter, 1.5 meters, and 2 meters). Then, through permutations and combinations, we can get a variety of different combinations of pile diameters, pile lengths and pile spacings. These combinations together constitute a possible space of reinforcement strategies. In the process of constructing the reinforcement space, the relationship and constraints between different indicators are analyzed. For example, the combination of pile diameter and pile spacing needs to meet certain bearing capacity requirements, and the pile length and the amount of curing agent need to be reasonably matched according to the properties of the soil layer and the degree of disease. Through the construction process, a comprehensive and reasonable reinforcement space is finally formed, which provides rich possibilities and basis for the subsequent selection of the optimal reinforcement strategy.

[0040] In a possible implementation, a predetermined reinforcement index is read, and a reinforcement space is constructed based on a predetermined index parameter limit of the predetermined reinforcement index. Step S300 further includes step S310, wherein the predetermined reinforcement index includes a predetermined layout index and a predetermined material index of the jet grouting pile, wherein the predetermined layout index includes the pile diameter, pile length and pile spacing of the jet grouting pile, and the predetermined material index includes the type of curing agent and construction water of the jet grouting pile. Specifically, two main categories of predetermined reinforcement indexes are defined: predetermined layout index and predetermined material index. For the predetermined layout index, the pile diameter determines the selectable range of the jet grouting pile diameter according to factors such as engineering requirements, the scale and nature of the roadbed disease, and geological conditions. For example, after comprehensive consideration, it is stipulated that the pile diameter can be selected between 0.5 meters and 1.5 meters. A smaller pile diameter is suitable for smaller-scale diseases or areas with limited space, and a larger pile diameter is used for situations with higher bearing requirements or larger disease ranges. The pile length is determined by investigating and analyzing the roadbed soil layer, understanding the properties and bearing capacity of soil layers at different depths, and combining the depth of the disease and the scope of influence to determine the jet grouting pile. The possible range of pile length, for example, according to the survey results, the pile length can be adjusted between 5 meters and 20 meters to ensure that the pile body can penetrate into the stable soil layer and provide sufficient support; the reasonable range of pile spacing is set based on empirical formulas and engineering practice by considering the interaction of jet grouting piles and the overall reinforcement effect. For example, the pile spacing can vary between 1 meter and 3 meters. A smaller pile spacing can provide a more intensive reinforcement effect, but the cost is relatively high. A larger pile spacing can reduce the cost while meeting the reinforcement requirements. For the predetermined material indicators, the type of curing agent can be selected according to factors such as the soil characteristics of the roadbed, the groundwater level, and environmental requirements. It may include cement, lime, chemical slurry, etc. Different curing agents differ in curing effect, strength growth rate, durability, etc., and need to be selected according to specific circumstances; the quality standards of construction water are specified by considering the effects of impurity content, pH value, etc. in the water on the curing reaction; for example, the impurity content in the water is required not to exceed a certain limit, and the pH value should be within a specific range to ensure the mixing effect of the curing agent and water and the quality of reinforcement. The above detailed settings of the predetermined layout indicators and predetermined material indicators of the jet grouting piles provide a specific and clear parameter basis for the subsequent construction of the reinforcement plan, ensuring the scientificity and effectiveness of the reinforcement work.

[0041] Step S400, extract the first reinforcement strategy in the reinforcement space, and simulate the reinforcement and repair process of the first reinforcement strategy in the three-dimensional disease model to obtain the first simulation information. Specifically, a combination is selected from the constructed reinforcement space and defined as the first reinforcement strategy. In this strategy, all parameters of the jet grouting pile are determined. For example, the first pile diameter is selected as 0.8 meters specified in the reinforcement space, the first pile length is selected as 10 meters, the first pile distance is determined as 1.5 meters, the first curing agent is selected as a certain type of cement, and the first construction water meets the preset quality standards. The first reinforcement strategy is applied to the previously constructed three-dimensional disease model. By using simulation software and calculation tools, the repair process of the roadbed disease under this reinforcement strategy is simulated. In the simulation process, many factors will be considered. For example, according to the settings of the first pile diameter, the first pile length and the first pile distance, the arrangement mode and interaction effect of the jet grouting pile in the diseased area are calculated. Combined with the characteristics of the first curing agent and the conditions of the first construction water, the chemical reaction process between the curing agent and the soil and the resulting Strength growth and physical property changes are calculated, and finally detailed information on the implementation effect of the first reinforcement strategy, namely the first simulation information, is obtained. The first simulation information includes data and results from multiple aspects such as changes in the bearing capacity of the roadbed after repair, improvements in settlement, and adjustments to the internal stress distribution of the soil. For example, if the optional values ​​of the pile diameter in the reinforcement space are 0.6 meters, 0.8 meters, and 1 meter, the optional values ​​of the pile length are 8 meters, 10 meters, and 12 meters, the optional values ​​of the pile spacing are 1 meter, 1.5 meters, and 2 meters, the curing agent can be ordinary cement and high-performance cement, and the construction water has different purity levels. It is assumed that the first reinforcement strategy selects a pile diameter of 0.8 meters, a pile length of 10 meters, a pile spacing of 1.5 meters, ordinary cement as the curing agent, and construction water of medium purity. Then, simulation is performed in the three-dimensional disease model to obtain specific first simulation information such as the bearing capacity of the roadbed after repair is increased by 30%, and the settlement is reduced by 50%.

[0042] Step S500: introducing a predetermined reinforcement and repair quality evaluation function as a reinforcement evaluation index, and analyzing the first simulation information based on the reinforcement evaluation index to obtain a first reinforcement fitness. Specifically, a predetermined reinforcement and repair quality evaluation function is determined. The function analyzes multiple key factors that can reflect the reinforcement and repair effect, and combines them with specific mathematical formulas and weights. For example, the evaluation function may include factors such as the increased proportion of the bearing capacity of the roadbed after repair, the reduction in settlement, the increase in soil strength, and the reinforcement cost. Each factor has a corresponding weight coefficient to reflect its importance in the overall evaluation. The first simulation information previously obtained through simulation is input into this predetermined reinforcement and repair quality evaluation function, and various data in the first simulation information are extracted and analyzed, such as the bearing capacity value after repair, the settlement change, the soil strength value, and the calculated reinforcement cost. According to the calculation rules and weights set in the evaluation function, the data are weighted calculated and comprehensively analyzed. Through complex mathematical operations, a value that can quantitatively reflect the effect of the first reinforcement strategy is obtained, which is the first reinforcement fitness. The higher the first reinforcement fitness, the better the reinforcement strategy performs in meeting quality requirements and controlling costs; conversely, if the fitness is low, it means that the strategy may have shortcomings and needs further improvement or selection of other strategies.

[0043] In a possible implementation, a predetermined reinforcement and repair quality evaluation function is introduced as a reinforcement evaluation index, and the first simulation information is analyzed based on the reinforcement evaluation index to obtain a first reinforcement fitness, and step S500 further includes step S510, extracting first simulated silt characteristic information in the first simulation information. Specifically, the first simulation information obtained by simulation is analyzed, and the first simulation information contains a large amount of data on the reinforcement and repair process and results. Using a specific data extraction algorithm and screening conditions, characteristic data related to silt is accurately separated from the information, and it is defined as the first simulated silt characteristic information, and the characteristic information includes key parameters such as density, water content, and content of different particles of silt.

[0044] Step S520: analyzing the first simulated silt characteristic information based on the predetermined reinforcement and repair quality evaluation function to obtain the first reinforcement fitness, wherein the expression of the predetermined reinforcement and repair quality evaluation function is as follows: ;in, Refers to the first reinforcement strategy The first reinforcement fitness, refers to the target silt density of the target soil sample, refers to the first silt moisture content in the first simulated silt characteristic information, It refers to the first simulated silt feature information Particle content of silt particles , refers to the The weight coefficients of the silt particles are: Powdered soil particles, and and are the first simulation coefficient and the second simulation coefficient respectively, and Specifically, the first simulated silt characteristic information is processed using a predetermined reinforcement and repair quality evaluation function, and the expression of the evaluation function is: , in the function Represents the first reinforcement strategy The first reinforcement fitness, represents the target silt density of the target soil sample, and the corresponding silt density value is obtained from the first simulated silt feature information and substituted into the calculation. It refers to the first silt moisture content in the first simulated silt feature information, and the value of this moisture content is also obtained from the extracted feature information. Indicates the first simulated silt feature information Particle content of silt particles ,in It is The weight coefficients of the silt particles are as follows, and the first simulated silt feature information has Powdered soil particles, and and are the first simulation coefficient and the second simulation coefficient respectively, and They refer to the first coefficient and the second coefficient respectively. The coefficients are predetermined based on experience, experimental data or theoretical research, and are used to adjust the weights and influence of different parameters in the evaluation. By substituting the various values ​​extracted from the first simulated silt characteristic information into the evaluation function and performing mathematical operations based on the function, the first reinforcement fitness that can quantitatively evaluate the effect of the first reinforcement strategy is finally obtained. The first reinforcement fitness is used to evaluate the performance and effect of the reinforcement strategy in terms of silt characteristics.

[0045] Step S600, determine whether the first reinforcement fitness reaches the predetermined fitness limit. Specifically, the specific value of the predetermined fitness limit is determined, and the limit is determined based on multiple factors such as engineering requirements, quality standards, cost budgets, and relevant technical specifications. The specific value of the first reinforcement fitness calculated by the predetermined reinforcement and repair quality evaluation function is obtained, and the first reinforcement fitness is directly compared with the predetermined fitness limit. If the first reinforcement fitness is greater than or equal to the predetermined fitness limit, it means that the reinforcement strategy has met the expected requirements in the comprehensive evaluation and is considered to meet the set standards in terms of quality, cost, effect, etc. On the contrary, if the first reinforcement fitness is less than the predetermined fitness limit, it means that the reinforcement strategy may be insufficient in some aspects and fails to fully meet the pre-set requirements.

[0046] Step S700, if achieved, the first reinforcement strategy is recorded as the optimal reinforcement strategy, and the target repair range is repaired and executed based on the optimal reinforcement strategy. Specifically, when it is determined that the first reinforcement fitness reaches the predetermined fitness limit, the first reinforcement strategy is marked as the optimal reinforcement strategy, and the first reinforcement strategy is clearly marked as the optimal solution in the system or related records, which means that after evaluation and comparison, it is determined to be the strategy that best meets the requirements and can achieve the best repair effect under the current conditions. According to the specific parameters and operating steps contained in the optimal reinforcement strategy, the actual repair execution work is carried out on the target repair range. For example, if the optimal reinforcement strategy stipulates that the diameter of the jet grouting pile is a specific value, the pile length is a specific length, the pile spacing is a specific distance, the type and amount of curing agent, and the requirements for construction water, etc., then in In the actual repair construction, the construction team will strictly follow these parameters, prepare jet grouting equipment of corresponding specifications, mix the specified type and amount of curing agent, arrange the jet grouting construction according to the determined pile diameter, pile length and pile spacing, and ensure that the construction water meets the requirements, so as to ensure that the entire reinforcement and repair process is carried out accurately according to the optimal plan. During the construction process, there will be quality monitoring and technical guidance personnel to supervise and inspect each link to ensure that the construction operation strictly follows the requirements of the optimal reinforcement strategy, so as to achieve effective and high-quality reinforcement and repair of the target repair range, achieve the expected repair effect, solve the roadbed disease problem, and ensure the safety and normal use of the road.

[0047] In one possible implementation, Figure 2As shown, if it is reached, the first reinforcement strategy is recorded as the optimal reinforcement strategy, and the target repair range is repaired based on the optimal reinforcement strategy. Step S700 further includes step a: if the first reinforcement fitness does not reach the predetermined fitness limit, the second reinforcement strategy in the reinforcement space is extracted. Specifically, the calculated first reinforcement fitness is compared with the predetermined fitness limit. If it is found that the first reinforcement fitness fails to meet the requirements of the predetermined fitness limit, the reinforcement space constructed previously is returned again, and a new strategy different from the first reinforcement strategy is selected from the reinforcement space using a predetermined extraction rule or algorithm, and it is defined as the second reinforcement strategy.

[0048] Step b: Analyze the second simulation information of the second reinforcement strategy based on the reinforcement evaluation index to obtain the second reinforcement fitness. Specifically, after obtaining the second reinforcement strategy, apply it to the three-dimensional disease model for simulated reinforcement and repair processing, so as to obtain detailed simulation results about the second reinforcement strategy, that is, the second simulation information, and use the previously determined reinforcement evaluation index, that is, the predetermined reinforcement and repair quality assessment function, to conduct in-depth analysis and calculation of the second simulation information, and obtain a quantitative value that can reflect the effect of the second reinforcement strategy through various parameters and calculation rules in the function, that is, the second reinforcement fitness.

[0049] Step c: Determine the optimal reinforcement strategy by comparing the second reinforcement fitness with the first reinforcement fitness. Specifically, compare the obtained second reinforcement fitness with the previous first reinforcement fitness, and compare the numerical values ​​and advantages and disadvantages of the two. If the second reinforcement fitness is better than the first reinforcement fitness, then in the current comparison, the second reinforcement strategy has more advantages; conversely, if the first reinforcement fitness is still better, then the first reinforcement strategy temporarily maintains the lead, and through comparison, determine which of the two strategies performs better.

[0050] Step d: Repeat steps a to c until the predetermined number of repetitions is reached, and output the optimal reinforcement strategy at that time. Specifically, if the second reinforcement strategy does not become the current optimal strategy, continue to repeat the process from steps a to c, continuously extract new reinforcement strategies (such as the third, fourth, etc. reinforcement strategies) from the reinforcement space, simulate, analyze the fitness and compare it with the previous optimal fitness, and continue to cycle until the predetermined number of repetitions is reached. After reaching the predetermined number of repetitions, regardless of the final reinforcement fitness, the current optimal reinforcement strategy will be output as the final strategy for actual repair.

[0051] In a possible implementation, if it is achieved, the first reinforcement strategy is recorded as the optimal reinforcement strategy, and the target repair range is repaired and executed based on the optimal reinforcement strategy. Step S700 further includes step S710, dynamically monitoring to obtain target real-time repair execution information, and the target real-time repair execution information includes real-time consolidation body state information and real-time construction control information. Specifically, the repair execution process is monitored in real time and continuously by various monitoring equipment and sensors arranged at the repair construction site. The monitoring equipment collects information, including real-time consolidation body state information and real-time construction control information. For the real-time consolidation body state information, the density of the consolidation body is obtained through special detection instruments and methods, such as a density measuring instrument, and the strength of the consolidation body is obtained through a compressive strength test. The bearing capacity of the consolidation body is measured by means of dynamic probing, etc. The real-time construction control information covers various parameters in the construction process, such as the injection pressure, lifting speed, rotation speed, and flow rate of the jet grouting pile.

[0052] Step S720: Analyze the real-time consolidation body state information to obtain a real-time consolidation body quality index. Specifically, after collecting the real-time consolidation body state information, use the pre-set analysis algorithm and model to process and calculate the information, comprehensively analyze the indicators of density, strength, bearing capacity and other aspects, and assign corresponding weights according to their importance and influence. Through calculation, the indicators are converted into a quantitative value that can comprehensively reflect the quality of the consolidation body, that is, the real-time consolidation body quality index.

[0053] Step S730: When the real-time consolidation body quality index does not meet the predetermined consolidation body quality benchmark, a construction adjustment instruction is issued. Specifically, the calculated real-time consolidation body quality index is compared with the predetermined consolidation body quality benchmark set in advance. If the real-time consolidation body quality index is lower than the predetermined quality benchmark, it indicates that the current repair effect does not meet the expected requirements. The system will automatically generate and issue a construction adjustment instruction, indicating the aspects that need to be adjusted and improved.

[0054] Step S740, dynamically adjust the real-time construction control information based on the construction adjustment instruction. Specifically, after receiving the construction adjustment instruction, the construction control system will adjust the relevant parameters in the real-time construction control information according to the specific content of the instruction. For example, if the instruction requires to improve the strength of the consolidated body, the flow rate of the curing agent will be increased or the injection pressure of the jet grouting pile will be adjusted. By dynamically adjusting the real-time construction control information, the deviation in the construction process can be corrected in time to ensure that the repair work can meet the predetermined quality standards. For example, if the monitoring finds that the bearing capacity of the real-time consolidated body is lower than the predetermined benchmark, the system will issue a construction adjustment instruction to reduce the lifting speed of the jet grouting pile to increase the density and strength of the consolidated body, thereby improving the bearing capacity.

[0055] In a possible implementation, dynamic monitoring obtains target real-time repair execution information, and the target real-time repair execution information includes real-time consolidation body status information and real-time construction control information. Step S710 further includes step S711, and the real-time consolidation body status information at least includes real-time consolidation body density, real-time consolidation body strength and real-time consolidation body bearing capacity. Specifically, the real-time consolidation body status information is obtained, wherein the real-time consolidation body density monitoring is achieved through professional density detection equipment. The equipment adopts technologies such as X-ray method, sand filling method or nuclear density meter. Taking the sand filling method as an example, representative detection points are selected at the construction site, holes of a certain volume are dug, and then standard sand is poured into the holes. The density of the consolidation body is calculated based on the volume and mass of the poured sand. The real-time consolidation body strength monitoring is usually carried out with the help of compressive strength test equipment. During the construction process, samples of the consolidation body are collected regularly, placed in a pressure testing machine, and pressure is gradually applied until the sample is destroyed. According to the construction, the sample is tested and the pressure is gradually increased. The compressive strength is calculated based on the applied pressure and the size of the sample. For monitoring the real-time bearing capacity of the consolidated body, a commonly used method is dynamic probing, in which a probe of a certain specification is inserted into the consolidated body, the resistance when the probe penetrates is recorded, and the bearing capacity is evaluated based on the size of the resistance. For example, at a certain moment, the real-time density of the consolidated body is 90% as detected by the sand injection method, the real-time strength of the consolidated body is 20MPa as obtained by the compressive strength test, and the real-time bearing capacity of the consolidated body is 180kPa as obtained by dynamic probing. The real-time monitoring data can promptly reflect the status of the consolidated body, providing a direct basis for subsequent construction adjustments and quality assessments.

[0056] In a possible implementation, dynamic monitoring obtains target real-time repair execution information, and the target real-time repair execution information includes real-time consolidated body state information and real-time construction control information. Step S710 further includes step S712, and the real-time construction control information includes at least real-time injection pressure, real-time lifting speed, real-time rotation speed and real-time curing agent flow rate. Specifically, in the construction process of roadbed disease repair, accurate acquisition and effective regulation of real-time construction control information are crucial to ensuring the quality of repair. The real-time monitoring of injection pressure is achieved through a pressure sensor installed on the injection equipment. The sensor can provide real-time feedback on the pressure value of the current injection process. For example, when the injection pressure is found to be lower than the preset reasonable range, it may mean that the injection effect is poor and the curing agent cannot be effectively mixed with the soil. The real-time monitoring of the lifting speed relies on the speed measuring device on the lifting equipment. If the lifting speed is too fast, it may cause uneven reinforcement effect of the rotary jet pile; while too slow speed will affect the construction efficiency. The acquisition of real-time rotation speed is also assisted by the corresponding rotation speed monitoring device. The appropriate rotation speed helps to fully stir and mix the curing agent and the soil to ensure the uniformity and stability of the reinforcement. The real-time monitoring of the curing agent flow is completed through the flow sensor. Accurate control of the flow is of great significance to ensuring the reinforcement effect and cost control. If the curing agent flow is too large, it may cause waste; if the flow is too small, it may not meet the reinforcement requirements. For example, during the construction process, the pressure sensor shows that the real-time injection pressure is 15MPa, which is lower than the preset 18MPa. At this time, the system will automatically issue an adjustment instruction to increase the pressure to the appropriate range. At the same time, the speed measurement device feedback real-time lifting speed of 0.2m / min, exceeding the preset reasonable value of 0.15m / min, the system will reduce the lifting speed accordingly to ensure the quality of reinforcement. Similar real-time monitoring and adjustment will be carried out for the rotation speed and curing agent flow to ensure that the entire construction process is carried out under the optimal parameter control.

[0057] The embodiment of the present application obtains the scope of the target roadbed disease to be repaired and constructs a three-dimensional model based on its multi-dimensional characteristics. The predetermined reinforcement index is read to construct the reinforcement space, and the first reinforcement strategy is extracted and simulated in the model to obtain simulation information. An evaluation function is introduced to analyze the simulation information to obtain the reinforcement fitness, and it is determined whether the limit value is reached. If it is reached, the strategy is used as the optimal strategy to repair the target range, thereby achieving the technical effect of optimizing the reinforcement plan on the basis of ensuring the quality of reinforcement by targeted reinforcement of roadbed diseases, thereby improving the rationality and scientificity of the reinforcement strategy.

[0058] The above specific implementation manner does not constitute a limitation to the protection scope of the present application. It should be understood by those skilled in the art that various modifications, 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 the present application should be included in the protection scope of the present application. In some cases, the actions or steps recorded in the present application can be performed in an order different from that in the embodiment and can still achieve the desired results. In addition, the process depicted in the accompanying drawings does not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

Claims

1. A method for repairing roadbed damage based on jet grouting pile reinforcement, characterized in that: include: Obtaining a target repair range, wherein the target repair range refers to a range of target roadbed damage to be reinforced and repaired; Constructing a three-dimensional disease model according to the target multi-dimensional characteristics of the target restoration range; Reading a predetermined reinforcement indicator, and constructing a reinforcement space based on a predetermined indicator parameter limit of the predetermined reinforcement indicator; Extracting a first reinforcement strategy in the reinforcement space, and performing a simulated reinforcement and repair process on the first reinforcement strategy in the three-dimensional damage model to obtain first simulation information; Introducing a predetermined reinforcement and repair quality evaluation function as a reinforcement evaluation index, and analyzing the first simulation information based on the reinforcement evaluation index to obtain a first reinforcement fitness; determining whether the first reinforcement fitness reaches a predetermined fitness limit; If it is achieved, the first reinforcement strategy is recorded as the optimal reinforcement strategy, and the target repair range is repaired and executed based on the optimal reinforcement strategy; A three-dimensional disease model is constructed based on the target multi-dimensional characteristics of the target restoration range, including: Acquire target disease characteristic information of the target roadbed disease, wherein the target disease characteristic information includes a target disease type and a target disease degree; Randomly obtain a target soil sample in the target restoration range, and perform detection and analysis on the target soil sample to obtain a target initial silt M value; The target multidimensional feature is established based on the target disease type, the target disease degree and the target initial silt M value; A three-dimensional disease model is constructed based on the target multi-dimensional characteristics of the target restoration range, including: Extracting a first disease model from a disease model database, wherein the first disease model has an identification of a first multidimensional feature; Calculating a first feature similarity between the first multidimensional feature and the target multidimensional feature; When the first feature similarity reaches a predetermined similarity limit, using the first disease model as the three-dimensional disease model; The predetermined reinforcement index includes a predetermined layout index and a predetermined material index of the jet grouting pile, wherein the predetermined layout index includes the pile diameter, pile length and pile spacing of the jet grouting pile, and the predetermined material index includes the type of curing agent and construction water of the jet grouting pile; Introducing a predetermined reinforcement and repair quality evaluation function as a reinforcement evaluation index, and analyzing the first simulation information based on the reinforcement evaluation index to obtain a first reinforcement fitness, including: Extracting first simulated silt characteristic information from the first simulation information; The first simulated silt characteristic information is analyzed based on the predetermined reinforcement and repair quality evaluation function to obtain the first reinforcement fitness, wherein the expression of the predetermined reinforcement and repair quality evaluation function is as follows: ； in, Refers to the first reinforcement strategy The first reinforcement fitness, refers to the target silt density of the target soil sample, refers to the first silt moisture content in the first simulated silt characteristic information, It refers to the first simulated silt feature information Particle content of silt particles , refers to the The weight coefficients of the silt particles are: Powdered soil particles, and and are the first simulation coefficient and the second simulation coefficient respectively, and They refer to the first coefficient and the second coefficient respectively.

2. A method for repairing roadbed damage based on jet grouting pile reinforcement according to claim 1, characterized in that: After determining whether the first reinforcement fitness reaches a predetermined fitness limit, the method further includes: Step a: if the first reinforcement fitness does not reach the predetermined fitness limit, extracting a second reinforcement strategy in the reinforcement space; Step b: analyzing the second simulation information of the second reinforcement strategy based on the reinforcement evaluation index to obtain a second reinforcement fitness; Step c: determining the optimal reinforcement strategy by comparing the second reinforcement fitness with the first reinforcement fitness; Step d: Repeat steps a to c until a predetermined number of repetitions is reached, and output the optimal reinforcement strategy at that time.

3. A method for repairing roadbed damage based on jet grouting reinforcement according to claim 1, characterized in that: The target repair range is repaired and executed based on the optimal reinforcement strategy, further comprising: Dynamic monitoring obtains target real-time repair execution information, wherein the target real-time repair execution information includes real-time consolidation body state information and real-time construction control information; Analyzing the real-time consolidated body state information to obtain a real-time consolidated body quality index; When the real-time consolidation body quality index does not meet the predetermined consolidation body quality benchmark, issuing a construction adjustment instruction; The real-time construction control information is dynamically adjusted based on the construction adjustment instruction.

4. A method for repairing roadbed damage based on jet grouting pile reinforcement according to claim 3, characterized in that: The real-time consolidated body state information at least includes real-time consolidated body density, real-time consolidated body strength and real-time consolidated body bearing capacity.

5. A method for repairing roadbed damage based on jet grouting pile reinforcement according to claim 3, characterized in that: The real-time construction control information at least includes real-time injection pressure, real-time lifting speed, real-time rotation speed and real-time curing agent flow rate.

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