Prediction method, equipment, medium and product for settlement of high-fluctuation terrain roadbed

Abstract

The invention provides a method, equipment, medium and product for predicting settlement of a high-relief terrain roadbed, and relates to the technical field of roadbed engineering settlement prediction.The method comprises the steps that target detection is conducted on the geological environment of the high-relief terrain; carrying out a target test on the high-fluctuation terrain according to the geological environment, and determining the filler characteristics of the main roadbed and the physical and mechanical indexes of the lower foundation soil; obtaining roadbed settlement influence factors output by simulation of the whole process of roadbed construction performed by the preset finite element model on the geological environment, the filler characteristics and the physical and mechanical indexes; performing multi-field coupling modeling on the geological environment, the filler characteristics and the roadbed settlement influence factors to obtain a target three-dimensional coupling model; and obtaining a settlement deformation characteristic result output by the target three-dimensional coupling model through target paving test analysis according to the preset foundation type. The technical problem of low prediction accuracy of high-relief terrain roadbed settlement in related technologies is solved, and the technical effect of improving the prediction accuracy of the high-relief terrain roadbed settlement is achieved.

Description

Technical Field

[0001] The present application relates to the technical field of roadbed engineering settlement prediction, and in particular to a method, equipment, medium and product for predicting roadbed settlement in high-elevation terrain. Background Art

[0002] In related technologies, basic geological information is collected through on-site geological surveys. Combined with engineers' experience and historical settlement data, empirical formulas or analogies are used to preliminarily estimate the roadbed settlement. Settlement monitoring points are set up at certain key locations on the roadbed, and settlement data used to assess the roadbed's settlement trends and stability is regularly measured and recorded. Long-term roadbed settlement is then predicted based on the settlement data from limited-point monitoring and empirical formulas. However, this limited-point monitoring method often only provides localized settlement information and cannot fully reflect the overall settlement of the roadbed. Furthermore, when faced with dynamic factors such as changes in foundation soil properties and construction processes, the aforementioned prediction methods make it difficult to accurately capture and assess the impact of these dynamic changes on roadbed settlement in real time, which can lead to significant deviations between the predicted results and the actual settlement.

[0003] However, when using the above method to predict roadbed settlement in high-elevation terrain, due to the large terrain undulations and complex geological conditions, the settlement data and empirical formulas monitored at limited points are difficult to fully and accurately reflect the overall picture and dynamic changes of roadbed settlement, which leads to a low prediction accuracy of roadbed settlement in high-elevation terrain in related technologies. Summary of the Invention

[0004] The present application provides a method, equipment, medium and product for predicting roadbed settlement in high-undulating terrain, which are used to improve the prediction accuracy of roadbed settlement in high-undulating terrain.

[0005] In the first aspect, the present application provides a method for predicting the settlement of roadbed in high-elevation terrain, which is applied to the above-mentioned electronic equipment, and the method comprises: performing target detection on high-elevation terrain to determine the geological characteristics, topographical characteristics, geological structural characteristics, and roadbed characteristics of the high-elevation terrain; performing target testing on high-elevation terrain based on the geological characteristics, topographical characteristics, geological structural characteristics, and roadbed characteristics to determine the filling characteristics of the main roadbed in the high-elevation terrain and the physical and mechanical indicators of the underlying foundation soil; obtaining the output of the roadbed settlement after simulating and analyzing the entire process of roadbed construction using a preset finite element model for the geological characteristics, topographical characteristics, geological structural characteristics, roadbed characteristics, filling characteristics, and physical and mechanical indicators. Factors affecting subgrade settlement, among which factors affecting subgrade settlement include deformation modulus of foundation soil, filler index, subgrade filling height, compaction degree, and filling time; multi-field coupling modeling is performed on geological characteristics, topographic and geomorphological characteristics, geological structural characteristics, subgrade characteristics, filler characteristics, foundation soil deformation modulus, filler index, subgrade filling height, compaction degree, and filling time to obtain a target three-dimensional coupling model of stress field-seepage field-time effect; the preset foundation type is input into the target three-dimensional coupling model to obtain the settlement deformation characteristic results output by the target three-dimensional coupling model after the target paving test analysis of subgrade settlement during construction period and post-construction subgrade settlement on high undulating terrain according to the preset foundation type.

[0006] By adopting the above technical solution, detailed characteristic information of high-relief terrain is obtained through target detection and target testing, and the main influencing factors of roadbed settlement are determined through finite element model simulation and analysis. Through multi-field coupling modeling, a precise target three-dimensional coupling model of stress field, seepage field, and time effect is established by comprehensively considering multiple aspects such as geology, topography, roadbed characteristics, and construction parameters. By inputting the preset foundation type into the target three-dimensional coupling model for experimental analysis, it is possible to accurately predict the settlement of roadbeds in high-relief terrain, thereby providing a scientific basis for roadbed design and construction. This solves the technical problem of low prediction accuracy of roadbed settlement in high-relief terrain in related technologies, achieving the technical effect of improving the prediction accuracy of roadbed settlement in high-relief terrain.

[0007] Optionally, the geological characteristics, topographic and geomorphic characteristics, geological structural characteristics, roadbed characteristics, filler characteristics, foundation soil deformation modulus, filler index, roadbed filling height, compaction degree, and filling time are subjected to multi-field coupling modeling to obtain a target three-dimensional coupling model of stress field-seepage field-time effect, specifically including: determining the foundation soil lithology, foundation soil distribution, foundation soil thickness, and foundation soil physical and mechanical properties according to the geological characteristics, and establishing a three-dimensional geological model according to the foundation soil lithology, foundation soil distribution, foundation soil thickness, foundation soil physical and mechanical properties and geological structural characteristics; determining the foundation soil lithology, foundation soil distribution, foundation soil thickness, foundation soil physical and mechanical properties and geological structural characteristics according to the topographic and geomorphic ...; determining the foundation soil lithology, foundation soil distribution, foundation soil thickness, foundation soil physical and mechanical properties and geological structural characteristics according to the topographic and geomorphic characteristics; determining the foundation soil lithology, foundation soil distribution, foundation soil thickness, foundation soil physical and mechanical properties and geological structural characteristics; determining the foundation soil lithology, foundation soil distribution, foundation soil thickness, foundation soil physical and mechanical properties and geological structural characteristics; determining the foundation soil lithology, foundation soil distribution, foundation soil thickness, foundation soil physical and mechanical properties and geological The terrain undulation characteristics, terrain slope characteristics, and terrain slope direction characteristics are determined, and a three-dimensional terrain model is established based on the terrain undulation characteristics, terrain slope characteristics, and terrain slope direction characteristics; the roadbed width, roadbed height, roadbed cross-sectional form, and filler physical and mechanical properties are determined according to the roadbed characteristics and filler characteristics, and a three-dimensional roadbed model is established based on the roadbed width, roadbed height, roadbed cross-sectional form, and filler physical and mechanical properties; multi-field coupling modeling is performed based on the three-dimensional geological model, three-dimensional terrain model, and three-dimensional roadbed model to obtain a target three-dimensional coupling model of stress field-seepage field-time effect.

[0008] By employing these technical solutions, a 3D geological model, a 3D terrain model, and a 3D roadbed model were established based on geological characteristics, topographic and geomorphological features, and roadbed properties, respectively. This provided the foundation for subsequent multi-field coupled modeling. These three models comprehensively consider the physical and mechanical properties of the foundation soil, the terrain undulations and slope characteristics, and the width, height, and cross-sectional form of the roadbed, ensuring their accuracy and comprehensiveness. Multi-field coupled modeling further considers the interactions of multiple physical fields, such as stress fields, seepage fields, and time effects, improving the model's predictive accuracy.

[0009] Optionally, multi-field coupling modeling is performed based on the three-dimensional geological model, the three-dimensional terrain model, and the three-dimensional roadbed model to obtain a target three-dimensional coupling model of stress field-seepage field-time effect, specifically including: analyzing the stress distribution of the target roadbed under load based on the three-dimensional geological model, the three-dimensional roadbed model, the deformation modulus of the foundation soil, the physical and mechanical properties of the filler, the roadbed filling height, and the compaction degree to generate a stress field model, wherein the target roadbed includes the main roadbed and the lower foundation soil; determining the foundation soil seepage field based on the foundation soil lithology, foundation soil distribution, foundation soil thickness, foundation soil physical and mechanical properties, and geological structural characteristics. The permeability and groundwater level of the target roadbed are analyzed, and the flow of groundwater in the target roadbed is analyzed based on the three-dimensional geological model, the three-dimensional terrain model, the permeability of the foundation soil, and the groundwater level to generate a seepage field model; the creep time and relaxation time of the civil engineering materials are determined according to the physical and mechanical properties of the foundation soil, the physical and mechanical properties of the filler, the geological structure characteristics, and the topography and landform characteristics, and the settlement of the target roadbed under time changes is analyzed based on the three-dimensional roadbed model, the creep time, and the relaxation time to generate a time effect model; the stress field model, the seepage field model, and the time effect model are coupled and analyzed to obtain the target three-dimensional coupling model.

[0010] By employing the above technical solution, a stress field model, a seepage field model, and a time-effect model are generated based on the 3D geological model, 3D terrain model, 3D roadbed model, and related parameters. These models consider various aspects of the target roadbed, including stress distribution under load, groundwater flow, and settlement over time. By coupling these three models and analyzing the interaction and influence of multiple physical fields, a more accurate and comprehensive 3D coupled model of the target is generated, providing a more reliable and accurate model foundation for subsequent settlement prediction.

[0011] Optionally, before inputting the preset foundation type into the target three-dimensional coupling model to obtain the settlement deformation characteristic results output by the target three-dimensional coupling model after performing a target paving test analysis on the construction period roadbed settlement and post-construction roadbed settlement of high-undulating terrain according to the preset foundation type, the above method also includes: real-time monitoring of the high-undulating terrain to obtain real-time monitoring results; inputting geological characteristics, topographic and geomorphological characteristics, geological structural characteristics, roadbed characteristics, filler characteristics and physical and mechanical indicators into the target three-dimensional coupling model to perform settlement simulation analysis to obtain settlement simulation results; comparing the real-time monitoring results with the settlement simulation results to obtain comparative analysis results; and adjusting the target three-dimensional coupling model according to the real-time monitoring results when it is determined according to the comparative analysis results that the matching degree between the real-time monitoring results and the settlement simulation results is less than or equal to a preset matching threshold.

[0012] By employing this technical solution, actual settlement conditions in high-relief terrain are monitored in real time and compared with the settlement simulation results of the target 3D coupling model. If the matching degree does not meet the preset matching threshold, the target 3D coupling model is adjusted based on the real-time monitoring results to improve the prediction accuracy and reliability of the target 3D coupling model. This not only ensures the accuracy and reliability of the prediction results, but also provides strong support for subsequent settlement control and roadbed design.

[0013] Optionally, the preset foundation type is input into the target three-dimensional coupling model to obtain the settlement and deformation characteristic results output by the target three-dimensional coupling model after the target paving test analysis of the roadbed settlement during construction and the roadbed settlement after construction on high-undulating terrain according to the preset foundation type. Specifically, the following operations are included: the preset foundation type is input into the target three-dimensional coupling model, and the target three-dimensional coupling model is controlled to perform the following operations: the target three-dimensional coupling model performs type detection on the received preset foundation type; when the target three-dimensional coupling model detects that the preset foundation type includes multiple foundation types, the hybrid foundation coupling analysis module is started to perform target paving test analysis according to the multiple foundation types; and the settlement and deformation characteristic results output by the target three-dimensional coupling model, obtained by the hybrid foundation coupling analysis module after the target paving test analysis according to the multiple foundation types, are obtained.

[0014] By employing this technical solution, the target 3D coupling model automatically detects the pre-set foundation type and performs appropriate processing after inputting it. For situations involving multiple foundation types, the target 3D coupling model activates the mixed foundation coupling analysis module to perform target paving test analysis, resulting in more comprehensive and accurate settlement and deformation characteristics. This not only improves the target 3D coupling model's adaptability to complex foundation types, but also enhances the accuracy of subgrade settlement predictions for multiple foundation types.

[0015] Optionally, when the target three-dimensional coupling model detects that the preset foundation type includes multiple foundation types, the hybrid foundation coupling analysis module is started to perform a target paving test analysis based on the multiple foundation types, specifically including: the hybrid foundation coupling analysis module determines the corresponding key indicators according to each foundation type in the multiple foundation types to obtain multiple key indicator sets; the hybrid foundation coupling analysis module maps each key indicator set in the multiple key indicator sets with the corresponding material properties to generate a foundation database, wherein the hybrid foundation coupling analysis module includes material properties; the hybrid foundation coupling analysis module determines the rolling equipment combination and construction parameters according to the foundation database; the hybrid foundation coupling analysis module performs a target paving test analysis on the subgrade settlement during construction and the subgrade settlement after construction on high-undulating terrain according to the rolling equipment combination and construction parameters.

[0016] By adopting the above technical solution, the hybrid foundation coupling analysis module enables detailed analysis and processing of multiple foundation types. Key indicators are determined for each foundation type, and multiple key indicator sets are generated. These key indicator sets are mapped to the corresponding material properties to generate a foundation database. Based on the foundation database, the rolling equipment combination and construction parameters are determined. Targeted paving tests are conducted to analyze the construction period and post-construction roadbed settlement on high-undulating terrain based on the rolling equipment combination and construction parameters. This ensures that the target three-dimensional coupling model accurately analyzes and processes multiple foundation types, providing strong support for roadbed engineering practice.

[0017] Optionally, the preset foundation type is input into the target three-dimensional coupling model to obtain the settlement deformation characteristic results output by the target three-dimensional coupling model after the target paving test analysis of the roadbed settlement during construction and the roadbed settlement after construction on high-undulating terrain according to the preset foundation type. The above method also includes: classifying and arranging the obtained settlement deformation characteristic results to determine the geological characteristic differences, topographic and geomorphic characteristic differences, geological structure characteristic differences, roadbed characteristic differences and filler characteristic differences between each foundation type included in the multiple foundation types; establishing a first settlement control index subset based on the geological characteristic differences, establishing a second settlement control index subset based on the topographic and geomorphic characteristic differences, and classifying and arranging the settlement deformation characteristic results based on the ground structure differences. A third subset of settlement control indicators is established based on the differences in geological and structural characteristics, a fourth subset of settlement control indicators is established based on the differences in roadbed characteristics, and a fifth subset of settlement control indicators is established based on the differences in filler characteristics. Among them, the first, second, third, fourth and fifth subsets of settlement control indicators have different control priorities for roadbed settlement during construction and roadbed settlement after construction on high-undulating terrain; the first, second, third, fourth and fifth subsets of settlement control indicators are integrated to generate a differentiated settlement control indicator database.

[0018] By adopting the above technical solution, a settlement control indicator database based on characteristic differences can be constructed to achieve the integration and coordination of settlement control indicators. This not only improves the accuracy and flexibility of settlement control for roadbeds on high-elevation terrain, but also provides strong data support for subsequent settlement prediction and engineering optimization. This enables the development of more scientific and reasonable settlement control strategies based on the specific characteristics of the foundation type, thereby ensuring the safety and stability of the project. The establishment of a differentiated settlement control indicator database makes indicator query and use more convenient and efficient, significantly improving the efficiency and accuracy of engineering practice.

[0019] In a second aspect, an embodiment of the present application provides an electronic device, comprising: one or more processors and a memory; the memory is coupled to the one or more processors, the memory is used to store computer program code, the computer program code includes computer instructions, and the one or more processors call the computer instructions to enable the electronic device to execute the method described in the first aspect and any possible implementation method of the first aspect.

[0020] In a third aspect, an embodiment of the present application provides a computer program product comprising instructions, which, when the computer program product is run on an electronic device, enables the electronic device to execute the method described in the first aspect and any possible implementation of the first aspect.

[0021] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium comprising instructions. When the instructions are executed on an electronic device, the electronic device executes the method described in the first aspect and any possible implementation of the first aspect.

[0022] One or more technical solutions provided in the embodiments of this application have at least the following technical effects or advantages: 1. The method for predicting subgrade settlement in high-relief terrain provided in this application obtains detailed characteristic information of high-relief terrain through target detection and target testing, and uses finite element model simulation analysis to derive the main influencing factors of subgrade settlement. Through multi-field coupling modeling, a precise target three-dimensional coupling model of stress field-seepage field-time effect is established by comprehensively considering multiple aspects such as geology, topography, subgrade characteristics and construction parameters. By inputting the preset foundation type into the target three-dimensional coupling model for experimental analysis, it is possible to accurately predict the subgrade settlement in high-relief terrain, thereby providing a scientific basis for subgrade design and construction.

[0023] 2. The prediction method for roadbed settlement in high-elevation terrain provided in this application establishes a three-dimensional geological model, a three-dimensional terrain model, and a three-dimensional roadbed model based on geological characteristics, topographic and geomorphological characteristics, and roadbed characteristics, thereby providing a basis for subsequent multi-field coupling modeling. These three models comprehensively consider the physical and mechanical properties of the foundation soil, the terrain undulation and slope characteristics, and the width, height, and cross-sectional form of the roadbed to ensure the accuracy and comprehensiveness of the model. Through multi-field coupling modeling, the interaction of multiple physical fields such as stress field, seepage field, and time effect is further considered to improve the prediction accuracy of the model.

[0024] 3. The method for predicting the settlement of roadbed in high-undulating terrain provided in this application generates a stress field model, a seepage field model and a time effect model based on the three-dimensional geological model, the three-dimensional terrain model, the three-dimensional roadbed model and related parameters. The stress field model, the seepage field model and the time effect model respectively consider multiple aspects such as the stress distribution of the target roadbed under load, the flow of groundwater and the settlement under time changes. By coupling and analyzing the stress field model, the seepage field model and the time effect model, and integrating the interactions and influences of multiple physical fields, a more accurate and comprehensive target three-dimensional coupling model is obtained, providing a more reliable and accurate model basis for subsequent settlement predictions. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] Figure 1 This is a flow chart of a method for predicting roadbed settlement in high-undulating terrain according to an embodiment of the present application; Figure 2 This is a schematic diagram of a physical device structure of an electronic device in an embodiment of the present application. DETAILED DESCRIPTION

[0026] The terms used in the following examples of the present application are only for the purpose of describing specific embodiments and are not intended to limit the present application. As used in the specification and appended claims of this application, the singular expressions "a," "an," "said," "above," "the," and "this" are intended to include plural expressions as well, unless the context clearly indicates otherwise. It should also be understood that the term "and / or" used in this application refers to any or all possible combinations comprising one or more of the listed items.

[0027] In the following, the terms "first" and "second" are used for descriptive purposes only and should not be understood to imply or suggest relative importance or implicitly indicate the number of the technical features indicated. Therefore, the features defined as "first" and "second" may explicitly or implicitly include one or more of the features. In the description of the embodiments of this application, unless otherwise specified, "plurality" means two or more.

[0028] This application provides a method for predicting roadbed settlement in high-elevation terrain. Figure 1 , Figure 1 The following is a flow chart of a method for predicting subgrade settlement on high-undulating terrain according to an embodiment of the present application, comprising the following steps: Step S101, performing target detection on the high-undulating terrain to determine the geological characteristics, topographical characteristics, geological structure characteristics, and roadbed characteristics of the high-undulating terrain; In the above embodiment, high relief refers to terrain features characterized by uneven ground and significant topographic variations. Target detection refers to the use of specific technologies (e.g., radar detection, geological exploration instruments, etc.) to conduct detailed surveys and measurements of a specific area to obtain relevant information about the specific area (corresponding to the aforementioned geological characteristics, topographic and geomorphic features, geological structural characteristics, and roadbed characteristics). Geological characteristics represent the properties, distribution, and interrelationships of materials such as rocks, soil, and minerals on the Earth's surface. They refer to geological conditions that affect foundation stability and roadbed bearing capacity, such as rock layer type and soil type. Topographic and geomorphic features refer to natural geographical features such as the shape, height, undulation, and slope of the ground, such as mountains, hills, and plains. They are used to indicate the impact of surface morphology on transportation route layout, roadbed design, and foundation treatment. Geological structural characteristics refer to various structural features formed within the Earth's crust due to crustal movement, such as folds and faults, and are geological structural factors that affect roadbed stability and bearing capacity. Roadbed characteristics refer to the physical, mechanical and chemical properties of the road foundation, including but not limited to the bearing capacity, stability, permeability, etc. of the soil, which can indicate the performance of the roadbed material under load.

[0029] In the above embodiments, in scenarios such as geological exploration, road planning and design, it is necessary to conduct detailed surveys of high-undulating terrain to determine its geological characteristics, topographical features, geological structural characteristics, and roadbed characteristics, thereby providing a scientific basis for subsequent road construction, geological disaster prevention, and other work. In some embodiments, target detection on high-undulating terrain can be achieved through a variety of methods: Optionally, use drones equipped with high-resolution cameras for aerial photography to obtain high-definition image data of the rugged terrain; use geological radar to conduct underground detection in specific areas to obtain distribution information of underground rocks and soil layers; combine the actual surveys of the ground exploration team to conduct comprehensive analysis and interpretation of the acquired data to determine the various characteristics of the rugged terrain.

[0030] Optionally, satellite remote sensing technology can be used to conduct large-scale, high-precision monitoring of high-elevation terrain; secondly, ground drilling sampling can be used to conduct laboratory analysis of underground rocks and soil; combined with geological structure theory, a comprehensive analysis of drilling data and remote sensing data can be conducted to reveal the geological structure characteristics and roadbed characteristics of the high-elevation terrain.

[0031] It is understandable that other methods can also be used to achieve target detection in high-elevation terrain, for example, using a three-dimensional laser scanner to quickly measure the topography, or combining geophysical exploration methods (for example, gravity exploration, magnetic exploration, etc.) to conduct deeper geological exploration, which is not limited here.

[0032] Step S102, conducting a target test on the high-undulating terrain based on geological characteristics, topographical characteristics, geological structural characteristics, and roadbed characteristics to determine the filler characteristics of the main roadbed on the high-undulating terrain and the physical and mechanical indicators of the underlying foundation soil; In the above embodiment, the target test refers to a specific test or specific experiment conducted on high-undulating terrain, which is used here to determine the roadbed filling characteristics and physical and mechanical indicators of the foundation soil in high-undulating terrain. Before constructing a transportation line on high-undulating terrain, it is necessary to evaluate the stability of the foundation and roadbed to ensure the safety and efficiency of subsequent construction. Geological characteristics, topographical characteristics, geological structural characteristics and roadbed characteristics are key factors affecting roadbed stability and foundation bearing capacity. Therefore, it is necessary to determine the main roadbed filling characteristics (for example, particle composition, water content, compactability, etc., which are not limited here) and the physical and mechanical indicators of the underlying foundation soil (for example, shear strength, compression modulus, bearing capacity, etc., which are not limited here) of high-undulating terrain through target testing. In some embodiments, target testing can be implemented in a variety of ways to determine the main roadbed filling characteristics and physical and mechanical indicators of the underlying foundation soil in high-undulating terrain: Optionally, use remote sensing technology and geographic information systems to conduct spatial analysis of high-elevation terrain to preliminarily determine the geological characteristics and topographic features; conduct on-site drilling and sampling to obtain more detailed geological and soil information; and determine the characteristics of roadbed fillers and the physical and mechanical indicators of foundation soil through a combination of indoor and field tests.

[0033] It is understandable that other methods can also be used to achieve the target test, which is not limited here. The specific method should be selected according to the actual situation and test requirements.

[0034] Step S103, obtaining the influencing factors of roadbed settlement outputted by a preset finite element model after simulating and analyzing the entire roadbed construction process based on geological characteristics, topographical features, geological structural characteristics, roadbed characteristics, filler characteristics, and physical and mechanical indicators, wherein the influencing factors of roadbed settlement include deformation modulus of foundation soil, filler index, roadbed filling height, compaction degree, and filling time; In the above embodiment, the preset finite element model is a pre-established and set mathematical model, which can be used to simulate and analyze the behavior of complex structures or systems based on the finite element analysis theory. In the field of roadbed construction, the preset finite element model can comprehensively consider multiple factors such as geological characteristics, topographical characteristics, geological structural characteristics, roadbed characteristics, filler characteristics and physical and mechanical indicators to conduct a simulation analysis of the entire process. Filler characteristics refer to the properties of the material used to fill the roadbed, such as particle size, particle shape, particle density, particle composition, water content, compaction, etc., which have a direct impact on the settlement behavior of the roadbed. Physical and mechanical indicators are quantitative parameters used to describe the physical and mechanical properties of materials, such as foundation soil deformation modulus, filler index, compaction degree, etc. Factors affecting roadbed settlement refer to various factors that affect the roadbed settlement behavior during the roadbed construction process, including but not limited to the deformation modulus of the foundation soil (reflecting the stiffness of the foundation soil), filler index (reflecting the properties of the filler), roadbed filling height (affecting the roadbed's own weight and settlement), compaction degree (affecting the density and settlement performance of the roadbed), filling time (affecting the consolidation and settlement process of the roadbed), etc.

[0035] In the above-mentioned embodiments, roadbed construction is a complex process involving the interaction and influence of multiple factors. To accurately predict and assess roadbed settlement behavior, a comprehensive simulation analysis of geological characteristics, topographical features, geological structural characteristics, roadbed properties, filler characteristics, and physical and mechanical parameters using a pre-set finite element model is required before or during construction to ensure the safety and economic efficiency of subsequent construction. This simulation analysis can identify factors influencing roadbed settlement, providing an important basis for subsequent settlement prediction and control.

[0036] In the above embodiment, based on the actual engineering conditions and geological survey data, an accurate preset finite element model is established, and reasonable boundary conditions and loading methods are set; geological characteristics, topographical features, geological structural characteristics, etc. are input into the preset finite element model for simulation analysis; based on the simulation results, key parameters such as foundation soil deformation modulus, filler index, and roadbed filling height are extracted; combined with construction factors such as compaction degree and filling time, a comprehensive analysis is conducted to derive the factors affecting roadbed settlement.

[0037] Step S104, performing multi-field coupling modeling on geological characteristics, topographical characteristics, geological structural characteristics, roadbed characteristics, filler characteristics, foundation soil deformation modulus, filler index, roadbed filling height, compaction degree, and filling time to obtain a target three-dimensional coupling model of stress field-seepage field-time effect; In the above embodiment, the deformation modulus of the foundation soil refers to the stress required for the foundation soil to undergo unit deformation after being subjected to force, which can reflect the stiffness of the foundation soil. Filling indicators are a series of parameters used to describe the properties of fillers, such as California bearing ratio, rebound modulus, etc. These indicators can reflect the bearing capacity and deformation characteristics of the filler. The roadbed filling height refers to the height after the roadbed filling is completed. The roadbed filling height can determine the deadweight and settlement of the roadbed. The compaction degree refers to the density of the roadbed filling material after compaction, which is an important indicator for evaluating the stability and settlement performance of the roadbed. The filling time refers to the duration of the roadbed filling project, which affects the consolidation and settlement process of the roadbed. Multi-field coupling modeling refers to the comprehensive simulation of the interactions and influences between multiple physical fields (for example, stress field, seepage field, etc.). The target three-dimensional coupling model refers to a three-dimensional model obtained by multi-field coupling modeling, which can reflect the interaction between the stress field, seepage field and time effect.

[0038] In the above-mentioned embodiments, during the roadbed design and construction process, in order to accurately predict and evaluate the roadbed's settlement, deformation, and stability, it is necessary to comprehensively consider factors such as geological characteristics, topographical features, geological structural characteristics, roadbed characteristics, filler characteristics, foundation soil deformation modulus, filler index, roadbed fill height, compaction degree, and fill time. These factors interact and influence each other in a complex manner, necessitating the integration of these factors into a unified three-dimensional model through multi-field coupled modeling. This three-dimensional model can simulate the deformation and settlement process of the roadbed under the influence of force, seepage, and time effects, providing an important reference for roadbed design and construction.

[0039] In the above embodiment, geological survey data, topographic data, filler test data, etc. are collected, and these data are sorted and analyzed to obtain the basic data required for modeling; appropriate modeling software and tools are selected, such as finite element analysis software, geological modeling software, etc., to establish a preliminary three-dimensional geological model based on the basic data; parameters such as filler properties, foundation soil deformation modulus, filler index, etc. are input into the model, and corresponding boundary conditions and initial conditions are set; the model is solved and calculated to obtain the coupling results of stress field, seepage field and time effect; the simulation results are analyzed and visualized to intuitively display the deformation and settlement process of the roadbed; the simulation results are analyzed and verified to ensure the accuracy and reliability of the model; the design and construction of the roadbed are adjusted and optimized according to the simulation results.

[0040] In step S105, the preset foundation type is input into the target three-dimensional coupling model to obtain settlement deformation characteristic results output by the target three-dimensional coupling model after performing target paving test analysis on the subgrade settlement during construction and the subgrade settlement after construction on high-undulating terrain according to the preset foundation type.

[0041] In the above-mentioned embodiments, the preset foundation type refers to the foundation soil type or geological structure type predetermined before roadbed design and construction based on geological survey data, topographic features, and engineering experience. This may include soft soil foundation, hard soil foundation, karst foundation, collapsible loess foundation, frozen soil foundation, and other types. Construction-period roadbed settlement refers to roadbed settlement caused by factors such as the consolidation of the foundation soil and the compaction of the filler during the roadbed construction process. This settlement is temporary and will gradually stabilize as construction progresses. Post-construction roadbed settlement refers to roadbed settlement caused by factors such as the long-term consolidation of the foundation soil and the creep of the roadbed material after the roadbed construction is completed. This settlement is long-term and has a significant impact on the service life and safety of the road. Target paving test analysis refers to the prediction and analysis of roadbed settlement and deformation by simulating the actual paving process within the target three-dimensional coupling model. This simulation can simulate roadbed settlement and deformation under different foundation types, different fillers, and different construction processes, providing guidance for actual construction. The settlement and deformation characteristic results refer to the results output by the target three-dimensional coupling model after conducting target paving test analysis on the subgrade settlement during construction and the subgrade settlement after construction on high-undulating terrain based on the preset foundation type, including but not limited to information such as settlement amount, settlement rate, and deformation morphology.

[0042] In the above-mentioned embodiment, during the roadbed design and construction process, in order to accurately predict and evaluate the settlement and deformation characteristics of the roadbed under high-undulating terrain, it is necessary to input the preset foundation type into the target 3D coupling model for targeted paving test analysis to ensure the safety and economy of subsequent construction. By inputting the preset foundation type into the model, the model can simulate the roadbed settlement and deformation under different foundation conditions and output corresponding settlement and deformation characteristics. These settlement and deformation characteristics provide an important reference for roadbed design and construction, helping to optimize roadbed design, select appropriate fillers and construction techniques, and so on.

[0043] In the above embodiment, the preset foundation type and its related parameters (for example, the deformation modulus and shear strength of the foundation soil, which are not limited here) are determined based on geological survey data and topographic features; the preset foundation type and its related parameters are input into the target three-dimensional coupling model; the boundary conditions and initial conditions of the target three-dimensional coupling model are set according to the actual project conditions and needs; the target three-dimensional coupling model is run to perform target paving test analysis to simulate the roadbed settlement and deformation during and after construction; the settlement and deformation characteristics results are output, and the results are analyzed and evaluated.

[0044] Through the above steps, detailed characteristic information of high-relief terrain is obtained through target detection and target testing, and the main influencing factors of roadbed settlement are determined through finite element model simulation and analysis. Through multi-field coupling modeling, a precise target three-dimensional coupling model of stress field, seepage field, and time effect is established by comprehensively considering multiple aspects such as geology, topography, roadbed characteristics, and construction parameters. By inputting the preset foundation type into the target three-dimensional coupling model for experimental analysis, accurate prediction of roadbed settlement in high-relief terrain can be achieved, thus providing a scientific basis for roadbed design and construction. This solves the technical problem of low prediction accuracy of roadbed settlement in high-relief terrain in related technologies, achieving the technical effect of improving the prediction accuracy of roadbed settlement in high-relief terrain.

[0045] Among them, the execution entity of the above steps can be a system with the ability to predict the settlement of roadbed in high-undulation terrain, or a device with the ability to predict the settlement of roadbed in high-undulation terrain, or a controller or processor in the device or system, or a separate controller or processor, or other processing devices or processing units with similar processing functions, etc., but not limited to these.

[0046] In an optional embodiment, multi-field coupling modeling is performed based on a three-dimensional geological model, a three-dimensional terrain model, and a three-dimensional roadbed model to obtain a target three-dimensional coupling model of stress field-seepage field-time effect, specifically including: analyzing the stress distribution of the target roadbed under load based on the three-dimensional geological model, the three-dimensional roadbed model, the deformation modulus of the foundation soil, the physical and mechanical properties of the filler, the roadbed filling height, and the compaction degree to generate a stress field model, wherein the target roadbed includes the main roadbed and the lower foundation soil; determining the ground pressure according to the lithology of the foundation soil, the distribution of the foundation soil, the thickness of the foundation soil, the physical and mechanical properties of the foundation soil, and the geological structure characteristics. The permeability of the foundation soil and the groundwater level are determined, and the flow of groundwater in the target roadbed is analyzed based on the three-dimensional geological model, the three-dimensional terrain model, the permeability of the foundation soil, and the groundwater level to generate a seepage field model; the creep time and relaxation time of the civil engineering materials are determined based on the physical and mechanical properties of the foundation soil, the physical and mechanical properties of the filler, the geological structure characteristics, and the topography and geomorphology characteristics, and the settlement of the target roadbed under time changes is analyzed based on the three-dimensional roadbed model, the creep time, and the relaxation time to generate a time effect model; the stress field model, the seepage field model, and the time effect model are coupled and analyzed to obtain the target three-dimensional coupling model.

[0047] In the above embodiments, a three-dimensional geological model refers to a digital representation of the internal structure and lithology of the earth's crust constructed using geological survey data. The three-dimensional geological model can reflect information such as the lithology, distribution, and thickness of the foundation soil. A three-dimensional terrain model is a three-dimensional digital representation of the terrain surface constructed based on topographic survey data, including but not limited to landform features such as mountains, hills, and plains. A three-dimensional roadbed model refers to a three-dimensional digital model of the roadbed structure (including information such as the material composition and geometric shape of the roadbed) constructed based on roadbed design parameters (e.g., width, height, slope, etc.). The deformation modulus of the foundation soil is a measure of the stress required for the foundation soil to undergo unit deformation under load. The physical and mechanical properties of the filler refer to the physical and mechanical properties of the material used to fill the roadbed, such as density, compressive strength, and rebound modulus. Geological structural characteristics refer to the structural state of the rock strata within the earth's crust, such as folds, faults, and joints.

[0048] In the above example, a highway construction project in a mountainous area requires traversing a complex geological region where the foundation soil primarily consists of interbedded soft soil and sandstone, the terrain is highly undulating, and groundwater is abundant. To ensure the stability and safety of the roadbed, the multi-field coupled modeling method described in this example is employed for analysis: a three-dimensional geological model and a three-dimensional terrain model are constructed based on geological survey data and topographic survey data, respectively. Simultaneously, a three-dimensional roadbed model is constructed based on the roadbed design parameters. Considering the differences in deformation moduli of the foundation soil, which consists of interbedded soft soil and sandstone, as well as the physical and mechanical properties of the filler, the stress distribution of the roadbed under vehicle load is analyzed to generate a stress field model. Based on the permeability differences between soft soil and sandstone, combined with groundwater level information, the flow path and velocity of groundwater in the roadbed are analyzed to generate a seepage field model. Considering the creep characteristics of soft soil and the relaxation characteristics of sandstone, as well as the influence of topography on drainage conditions, the settlement of the roadbed under long-term load is analyzed to generate a time-effect model. By coupling the stress field model, seepage field model, and time effect model, a target three-dimensional coupling model is derived, comprehensively considering the combined effects of stress, seepage, and time on the roadbed. This target three-dimensional coupling model can predict the settlement and deformation characteristics of the roadbed under different working conditions, providing a scientific basis for roadbed design and construction.

[0049] In an optional embodiment, before inputting the preset foundation type into the target three-dimensional coupling model to obtain the settlement deformation characteristic results output by the target three-dimensional coupling model after performing a target paving test analysis on the construction period roadbed settlement and post-construction roadbed settlement of high-undulating terrain according to the preset foundation type, the above method also includes: real-time monitoring of the high-undulating terrain to obtain real-time monitoring results; inputting geological characteristics, topographic and geomorphological characteristics, geological structural characteristics, roadbed characteristics, filler characteristics and physical and mechanical indicators into the target three-dimensional coupling model to perform settlement simulation analysis to obtain settlement simulation results; comparing the real-time monitoring results with the settlement simulation results to obtain comparative analysis results; and adjusting the target three-dimensional coupling model according to the real-time monitoring results when it is determined according to the comparative analysis results that the matching degree between the real-time monitoring results and the settlement simulation results is less than or equal to a preset matching threshold.

[0050] In the above-mentioned embodiments, real-time monitoring refers to the continuous, real-time monitoring and data collection of geological, topographic, and meteorological parameters of high-elevation terrain using sensors, remote sensing, and other technologies. Settlement simulation analysis refers to the use of a target three-dimensional coupling model to simulate, calculate, and analyze the settlement of the roadbed based on input parameters such as geological characteristics, topographic and geomorphic characteristics, geological structural characteristics, roadbed characteristics, filler characteristics, and physical and mechanical indicators. The preset matching threshold is a pre-set judgment standard. When comparing and analyzing the real-time monitoring results with the settlement simulation results, if the degree of matching between the two (e.g., correlation coefficient, mean square error, etc., not limited here) is less than or equal to the preset matching threshold, it is considered that the settlement simulation results deviate significantly from the actual situation, and the target three-dimensional coupling model needs to be adjusted.

[0051] In the above example, a highway construction project in a mountainous area requires traversing a high-altitude terrain region with complex geological conditions, significant topography, and potential geological disaster risks. To ensure the stability and safety of the roadbed, the method described in this example is used for preprocessing: geological monitoring stations, topographic survey equipment, and meteorological monitoring stations are deployed in the high-altitude terrain region to conduct real-time monitoring of geological activities (e.g., earthquakes, landslides), topographic changes (e.g., subsidence, collapse), and meteorological conditions (e.g., rainfall, temperature, etc.). The collected data includes seismic wave data, terrain elevation data, and rainfall data. Geological characteristics (e.g., rock layer distribution, fault strike, etc.), topographic and geomorphological characteristics (e.g., slope, aspect, etc.), geological structural characteristics (e.g., rock layer strength, fault zones, etc.), roadbed characteristics (e.g., width, height, material composition, etc.), filler characteristics (e.g., density, compressive strength, etc.), and physical and mechanical indicators (e.g., elastic modulus, Poisson's ratio, etc.) are input into the target three-dimensional coupled model to perform settlement simulation analysis. The simulation results include the amount of subgrade settlement and settlement rate during and after construction. The terrain elevation change data obtained from real-time monitoring is compared with the settlement simulation results to calculate the degree of match between the two. If the degree of match is found to be lower than the preset matching threshold (for example, the correlation coefficient is less than the preset matching threshold of 0.8, although the preset matching threshold can also be 0.5, 0.6, 0.9, etc., which are not limited here), the settlement simulation results are considered to deviate significantly from the actual situation. The target three-dimensional coupling model is adjusted based on the real-time monitoring results. For example, the parameters of geological structure characteristics are modified based on seismic wave data, and the input of topographic and geomorphological features are adjusted based on terrain elevation change data to improve the accuracy and applicability of the model. After adjustment, the settlement simulation analysis is repeated, and the comparative analysis steps are repeated until the degree of match meets the preset matching threshold.

[0052] In an optional embodiment, a preset foundation type is input into a target three-dimensional coupling model to obtain the settlement and deformation characteristic results output by the target three-dimensional coupling model after a target paving test analysis is performed on the roadbed settlement during construction and the roadbed settlement after construction on high-undulating terrain according to the preset foundation type. Specifically, the following operations are performed: the preset foundation type is input into the target three-dimensional coupling model, and the target three-dimensional coupling model is controlled to perform the following operations: the target three-dimensional coupling model performs type detection on the received preset foundation type; when the target three-dimensional coupling model detects that the preset foundation type includes multiple foundation types, the hybrid foundation coupling analysis module is started to perform a target paving test analysis according to the multiple foundation types; and the settlement and deformation characteristic results output by the target three-dimensional coupling model, obtained by the hybrid foundation coupling analysis module after the target paving test analysis is performed according to the multiple foundation types.

[0053] In the above embodiment, the preset foundation type refers to the foundation type that is pre-set before the actual project begins, based on geological survey reports, engineering experience, etc. These foundation types may include soft soil, hard soil, rock, stone fill and other types. The target three-dimensional coupling model refers to a three-dimensional model that integrates multiple factors such as geology, topography, roadbed, time effect, etc., which can simulate and analyze the settlement and deformation characteristics of the roadbed under different conditions. The mixed foundation coupling analysis module refers to a module in the target three-dimensional coupling model that is specifically used to deal with the coexistence of multiple foundation types. This module can consider the interaction between different foundation types and perform more accurate settlement and deformation analysis. The settlement and deformation characteristic results refer to the results output by the target three-dimensional coupling model after the target paving test analysis of the roadbed settlement during the construction period and the roadbed settlement after construction on high-undulating terrain according to the preset foundation type, including but not limited to key information such as settlement amount, settlement rate, and settlement distribution.

[0054] In the above embodiment, it is assumed that in a certain mountain highway construction project, it is necessary to cross an area with high undulating terrain. The foundation types in this area are complex, including soft soil, hard soil, rock and other types. In order to ensure the stability and safety of the roadbed, the method described in this embodiment is used to perform settlement and deformation analysis: based on the geological survey report and engineering experience, the preset foundation types such as soft soil, hard soil and rock are input into the target three-dimensional coupling model. The target three-dimensional coupling model performs type detection on the received preset foundation types and finds that it contains multiple foundation types. The target three-dimensional coupling model automatically starts the mixed foundation coupling analysis module and performs a more detailed settlement and deformation analysis based on the physical and mechanical properties and distribution of soft soil, hard soil and rock. The mixed foundation coupling analysis module simulates the roadbed settlement during the actual construction process, considers the interaction between different foundation types, and performs target paving test analysis. The target three-dimensional coupling model outputs settlement and deformation characteristic results, including key indicators such as roadbed settlement during construction, roadbed settlement after construction, and settlement rate.

[0055] In an optional embodiment, when the target three-dimensional coupling model detects that the preset foundation type includes multiple foundation types, the hybrid foundation coupling analysis module is activated to perform a target paving test analysis based on the multiple foundation types, specifically including: the hybrid foundation coupling analysis module determines the corresponding key indicators according to each foundation type in the multiple foundation types to obtain multiple key indicator sets; the hybrid foundation coupling analysis module maps each key indicator set in the multiple key indicator sets with the corresponding material properties to generate a foundation database, wherein the hybrid foundation coupling analysis module includes material properties; the hybrid foundation coupling analysis module determines the rolling equipment combination and construction parameters based on the foundation database; the hybrid foundation coupling analysis module performs a target paving test analysis on the subgrade settlement during construction and the subgrade settlement after construction on high-undulating terrain based on the rolling equipment combination and construction parameters.

[0056] In the above embodiment, key indicators refer to important parameters that reflect the characteristics of the foundation type, such as foundation bearing capacity, compression modulus, shear strength, etc. The foundation database refers to a database that stores key indicators of various foundation types and their corresponding material properties. This database provides the necessary data support for the hybrid foundation coupling analysis module.

[0057] In the above embodiment, assume that a highway construction project in a mountainous area requires traversing a high-elevation terrain region with complex subgrade types, including soft soil, hard soil, and rock. To ensure the stability and safety of the roadbed, a settlement and deformation analysis is performed using the method described in this embodiment: the hybrid subgrade coupling analysis module determines key indicators for each subgrade type, such as subgrade bearing capacity, compression modulus, and shear strength, based on the characteristics of the soft soil, hard soil, and rock subgrade types. The hybrid subgrade coupling analysis module maps the key indicators for each subgrade type with its corresponding material properties (e.g., soil type, moisture content, density, etc.), generating a subgrade database containing detailed information on various subgrade types and providing data support for subsequent analysis. Based on the information in the subgrade database, combined with engineering experience and actual requirements, the hybrid subgrade coupling analysis module determines the appropriate rolling equipment combination and construction parameters for the region. For example, for soft soil areas, a vibratory roller is selected with a lower rolling speed and higher rolling frequency; for hard soil and rock areas, a static roller is selected with a higher rolling speed and lower rolling frequency, and so on. The hybrid foundation coupling analysis module conducted a targeted paving test analysis of the subgrade settlement during construction and after construction on high-undulating terrain based on the determined rolling equipment combination and construction parameters. The analysis results show that the subgrade settlement under different foundation types shows obvious differences. By comparing the settlement under different rolling equipment combinations and construction parameters, the optimal construction plan was obtained. The method described in this embodiment can more accurately simulate and analyze the settlement and deformation characteristics of multiple foundation types when they coexist, providing a scientific basis for subgrade design and construction under complex foundation conditions.

[0058] In an optional embodiment, a preset foundation type is input into a target three-dimensional coupling model to obtain settlement deformation characteristic results output by the target three-dimensional coupling model after performing a target paving test analysis on the subgrade settlement during construction and the subgrade settlement after construction on high-undulating terrain according to the preset foundation type. The above method further includes: classifying and arranging the obtained settlement deformation characteristic results to determine the geological characteristic differences, topographic and geomorphic characteristic differences, geological structural characteristic differences, subgrade characteristic differences and filler characteristic differences between each foundation type included in the multiple foundation types; establishing a first settlement control index subset based on the geological characteristic differences, and establishing a second settlement control index subset based on the topographic and geomorphic characteristic differences. , a third subset of settlement control indicators is established according to the differences in geological structure characteristics, a fourth subset of settlement control indicators is established according to the differences in roadbed characteristics, and a fifth subset of settlement control indicators is established according to the differences in filler characteristics. Among them, the first subset of settlement control indicators, the second subset of settlement control indicators, the third subset of settlement control indicators, the fourth subset of settlement control indicators, and the fifth subset of settlement control indicators have different control priorities for roadbed settlement during construction and roadbed settlement after construction on high-undulating terrain; the first subset of settlement control indicators, the second subset of settlement control indicators, the third subset of settlement control indicators, the fourth subset of settlement control indicators, and the fifth subset of settlement control indicators are integrated to generate a differentiated settlement control indicator database.

[0059] In the above embodiments, geological characteristic differences refer to the differences between different foundation types in terms of geological structure, rock type, soil layer distribution, etc. Topographic and geomorphic characteristic differences refer to the topographic and geomorphic characteristics of different foundation types, such as slope, aspect, altitude, water system distribution, etc. Geological structural characteristic differences refer to the differences in geological structure of different foundation types, such as faults, folds, joints, etc. Roadbed characteristic differences refer to the differences in structural characteristics, material composition, compaction degree, etc. of roadbeds on different foundation types. Filler characteristic differences refer to the differences in the characteristics of the materials used for roadbed filling, such as particle size, density, strength, permeability, etc. The settlement control indicator subset refers to a collection of settlement control indicators established based on specific differences (such as geological characteristic differences, topographic and geomorphic characteristic differences, etc.), which are used to guide settlement control during construction.

[0060] In the above example, a highway construction project in a mountainous area requires traversing a highly rugged terrain region with a complex mix of subgrade types, including soft soil, hard soil, rock, and fill. To ensure the stability and safety of the roadbed, a settlement control index system (i.e., a differentiated settlement control index database) is established using the method described in this example. By classifying and organizing the settlement and deformation characteristics output by the target three-dimensional coupling model, it is found that soft soil areas experience large settlements and rapid settlement rates, while hard soil and rock areas experience relatively small settlements and slower settlement rates. Furthermore, different subgrade types exhibit significant differences in geological characteristics, topographical features, geological structural characteristics, subgrade properties, and filler properties. The first subset of settlement control indicators targets soft soil areas and focuses on geological characteristics such as subgrade bearing capacity and compression modulus, as well as filler characteristics such as the compaction and permeability of the fill material. The second subset of settlement control indicators targets areas with significant topographical features and focuses on topographical features such as slope and aspect, as well as subgrade characteristics such as lateral stability and longitudinal settlement uniformity. The third subset of settlement control indicators targets areas with complex geological structures, focusing on geological structural characteristic indicators such as faults and folds, as well as roadbed characteristic indicators such as shear strength and stability of the roadbed. The fourth subset of settlement control indicators targets areas with significant differences in roadbed characteristics, focusing on roadbed characteristic indicators such as structural form, material composition and compaction process of the roadbed. The fifth subset of settlement control indicators targets areas with significant differences in filler characteristics, focusing on filler characteristic indicators such as particle size, density and strength of the filling material. The five subsets of settlement control indicators are integrated to generate a differentiated settlement control indicator database. The database contains settlement control indicators for different foundation types and different difference factors, providing a comprehensive scientific basis for subsequent construction control and settlement prediction. Through the method described in this embodiment, a settlement control indicator system can be established more scientifically, providing strong technical support for roadbed design and construction under complex foundation conditions.

[0061] Through the embodiments of the present application, the settlement mechanism of fill roadbed under complex geological conditions is revealed, the lower foundation conditions are taken into consideration, its deformation characteristics and deformation laws are analyzed, a roadbed settlement prediction method under complex geological conditions is established, the influencing factors affecting roadbed settlement and the influencing effects of each factor are analyzed, and theoretical support is provided for roadbed settlement control. Based on the study of the factors affecting settlement, the optimal construction plan for controlling roadbed settlement is studied through the simulation of the target three-dimensional coupling model of stress field-seepage field-time effect, field tests and other means, providing practical guidance for engineering problems.

[0062] The electronic device in the embodiment of the present invention is described below from the perspective of hardware processing. Figure 2 , Figure 2 This is a schematic diagram of a physical device structure of an electronic device in an embodiment of the present application.

[0063] It should be noted that Figure 2 The structure of the electronic device shown is only an example and should not limit the functions and scope of use of the embodiments of the present invention.

[0064] like Figure 2 As shown, the electronic device includes a central processing unit (CPU) 201, which can perform various appropriate actions and processes according to the program stored in the read-only memory (ROM) 202 or the program loaded from the storage part 208 to the random access memory (RAM) 203, such as executing the method described in the above embodiment. In the RAM 203, There are various programs and data required for system operation. The CPU 201 , the ROM 202 , and the RAM 203 are connected to each other via a bus 204 . An input / output (I / O) interface 205 is also connected to the bus 204 .

[0065] The following components are connected to the I / O interface 205: an input section 206 including an audio input device, push button switches, and the like; an output section 207 including a liquid crystal display (LCD), an audio output device, indicator lights, and the like; a storage section 208 including a hard disk and the like; and a communication section 209 including a network interface card such as a LAN (Local Area Network) card or a modem. The communication section 209 performs communication processing via a network such as the Internet. A drive 210 is also connected to the I / O interface 205 as needed. Removable media 211, such as a magnetic disk, an optical disk, a magneto-optical disk, or a semiconductor memory, is installed in the drive 210 as needed, so that computer programs read from the removable media can be installed in the storage section 208 as needed.

[0066] In particular, according to embodiments of the present invention, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, embodiments of the present invention include a computer program product comprising a computer program carried on a computer-readable medium, the computer program including a computer program for executing the methods illustrated in the flowcharts. In such embodiments, the computer program can be downloaded and installed from a network via the communication section 209 and / or installed from removable media 211. When executed by the central processing unit (CPU) 201, the computer program performs the various functions defined in the present invention.

[0067] It should be noted that specific examples of computer-readable storage media may include, but are not limited to, an electrical connection having one or more conductors, a portable computer disk, a hard disk, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM), flash memory, optical fiber, portable compact disc read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination thereof. In the present invention, a computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, apparatus, or device.

[0068] The flowcharts and block diagrams in the accompanying drawings illustrate the possible architecture, functions and operations of the systems, methods and computer program products according to various embodiments of the present invention. Each box in the flowchart or block diagram can represent a module, program segment, or part of the code, and the above-mentioned module, program segment, or part of the code contains one or more executable instructions for implementing the specified logical functions. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in an order different from that marked in the accompanying drawings.

[0069] Specifically, the electronic device of this embodiment includes a processor and a memory. The memory stores a computer program. When the computer program is executed by the processor, the method for predicting settlement of a roadbed on high-elevation terrain provided by the above embodiment is implemented.

[0070] As another aspect, the present invention further provides a computer-readable storage medium, which may be included in the electronic device described in the above embodiments, or may exist independently and not incorporated into the electronic device. The storage medium carries one or more computer programs, which, when executed by a processor of the electronic device, enable the electronic device to implement the method for predicting roadbed settlement in high-relief terrain provided in the above embodiments.

[0071] As described above, the above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the above embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the above embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present application.

[0072] Those skilled in the art will appreciate that all or part of the process steps in the above-described method embodiments can be implemented by a computer program instructing the relevant hardware. The program can be stored in a computer-readable storage medium, and when executed, the program can include the process steps in the above-described method embodiments. The aforementioned storage medium includes various media capable of storing program code, such as ROM or random access memory (RAM), magnetic disks, or optical disks.

Claims

1. A method for predicting roadbed settlement in high-undulation terrain, characterized in that: include: Conducting target detection on high-undulating terrain to determine the geological characteristics, topographical features, geological structural characteristics, and roadbed characteristics of the high-undulating terrain; Conducting a targeted test on the high-undulating terrain based on the geological characteristics, the topographical characteristics, the geological structural characteristics, and the roadbed characteristics to determine the filler characteristics of the main roadbed on the high-undulating terrain and the physical and mechanical indicators of the underlying foundation soil; Obtaining the roadbed settlement influencing factors outputted after simulating and analyzing the entire roadbed construction process using a preset finite element model on the geological characteristics, the topographical and geomorphic characteristics, the geological structural characteristics, the roadbed characteristics, the filler characteristics, and the physical and mechanical indicators, wherein the roadbed settlement influencing factors include the deformation modulus of foundation soil, filler index, roadbed filling height, compaction degree, and filling time; The geological characteristics, the topographical characteristics, the geological structural characteristics, the roadbed characteristics, the filler characteristics, the foundation soil deformation modulus, the filler index, the roadbed filling height, the compaction degree, and the filling time are subjected to multi-field coupling modeling to obtain a target three-dimensional coupling model of stress field-seepage field-time effect; The preset foundation type is input into the target three-dimensional coupling model to obtain the settlement deformation characteristic results output by the target three-dimensional coupling model after performing a target paving test analysis on the subgrade settlement during construction and the subgrade settlement after construction on the high-undulating terrain according to the preset foundation type.

2. The method according to claim 1, characterized in that The multi-field coupling modeling of the geological characteristics, the topographic and geomorphic characteristics, the geological structural characteristics, the roadbed characteristics, the filler characteristics, the foundation soil deformation modulus, the filler index, the roadbed filling height, the compaction degree, and the filling time is performed to obtain a target three-dimensional coupling model of stress field-seepage field-time effect, specifically including: Determining the lithology, distribution, thickness, and physical and mechanical properties of the foundation soil according to the geological characteristics, and establishing a three-dimensional geological model based on the lithology, distribution, thickness, and physical and mechanical properties of the foundation soil and the geological structural characteristics; Determining terrain relief features, terrain slope features, and terrain aspect features based on the terrain and geomorphic features, and establishing a three-dimensional terrain model based on the terrain relief features, the terrain slope features, and the terrain aspect features; Determining the roadbed width, roadbed height, roadbed cross-sectional form, and filler physical and mechanical properties according to the roadbed characteristics and the filler characteristics, and establishing a three-dimensional roadbed model according to the roadbed width, the roadbed height, the roadbed cross-sectional form, and the filler physical and mechanical properties; The multi-field coupling modeling is performed based on the three-dimensional geological model, the three-dimensional terrain model, and the three-dimensional roadbed model to obtain the target three-dimensional coupling model of stress field-seepage field-time effect.

3. The method according to claim 2, characterized in that The multi-field coupling modeling is performed based on the three-dimensional geological model, the three-dimensional terrain model, and the three-dimensional roadbed model to obtain the target three-dimensional coupling model of stress field-seepage field-time effect, specifically including: Analyzing the stress distribution of a target roadbed under load based on the three-dimensional geological model, the three-dimensional roadbed model, the deformation modulus of the foundation soil, the physical and mechanical properties of the filler, the roadbed filling height, and the compaction degree to generate a stress field model, wherein the target roadbed includes the main roadbed and the lower foundation soil; determining the permeability of the foundation soil and the groundwater level based on the lithology of the foundation soil, the distribution of the foundation soil, the thickness of the foundation soil, the physical and mechanical properties of the foundation soil, and the geological structural characteristics, and analyzing the flow of groundwater in the target roadbed based on the three-dimensional geological model, the three-dimensional terrain model, the permeability of the foundation soil, and the groundwater level to generate a seepage field model; Determining creep time and relaxation time of civil engineering materials based on the physical and mechanical properties of the foundation soil, the physical and mechanical properties of the filler, the geological structure characteristics, and the topographic and geomorphic features, and analyzing the settlement of the target roadbed under time changes based on the three-dimensional roadbed model, the creep time, and the relaxation time to generate a time effect model; The stress field model, the seepage field model and the time effect model are coupled and analyzed to obtain the target three-dimensional coupling model.

4. The method according to claim 1, wherein Before inputting the preset foundation type into the target three-dimensional coupling model to obtain the settlement deformation characteristic results output by the target three-dimensional coupling model after performing a target paving test analysis on the subgrade settlement during construction and the subgrade settlement after construction on the high-undulating terrain according to the preset foundation type, the method further includes: Performing real-time monitoring on the high-undulation terrain to obtain real-time monitoring results; Inputting the geological characteristics, the topographical characteristics, the geological structural characteristics, the roadbed characteristics, the filler characteristics and the physical and mechanical indicators into the target three-dimensional coupling model to perform settlement simulation analysis to obtain settlement simulation results; Comparing and analyzing the real-time monitoring results with the settlement simulation results to obtain comparative analysis results; When it is determined according to the comparative analysis result that the matching degree between the real-time monitoring result and the settlement simulation result is less than or equal to a preset matching threshold, the target three-dimensional coupling model is adjusted according to the real-time monitoring result.

5. The method according to claim 1, wherein Inputting the preset foundation type into the target three-dimensional coupling model to obtain the settlement deformation characteristic results output by the target three-dimensional coupling model after performing a target paving test analysis on the roadbed settlement during construction and the roadbed settlement after construction on the high-undulating terrain according to the preset foundation type specifically includes: The preset foundation type is input into the target three-dimensional coupling model, and the target three-dimensional coupling model is controlled to perform the following operations: the target three-dimensional coupling model performs type detection on the received preset foundation type; when the target three-dimensional coupling model detects that the preset foundation type includes multiple foundation types, the mixed foundation coupling analysis module is activated to perform the target paving test analysis according to the multiple foundation types; The settlement deformation characteristic result output by the target three-dimensional coupling model and obtained by the hybrid foundation coupling analysis module after performing the target paving test analysis according to the multiple foundation types is obtained.

6. The method according to claim 5, characterized in that When the target three-dimensional coupling model detects that the preset foundation type includes multiple foundation types, starting the mixed foundation coupling analysis module to perform the target paving test analysis according to the multiple foundation types, specifically including: The hybrid foundation coupling analysis module determines a corresponding key indicator according to each of the multiple foundation types to obtain multiple key indicator sets; The hybrid foundation coupling analysis module maps each key indicator set in the plurality of key indicator sets to a corresponding material property to generate a foundation database, wherein the hybrid foundation coupling analysis module includes the material property; The hybrid foundation coupling analysis module determines the rolling tool combination and construction parameters according to the foundation database; The hybrid foundation coupling analysis module performs the target paving test analysis on the roadbed settlement during construction and the roadbed settlement after construction on the high-undulating terrain according to the rolling machine combination and the construction parameters.

7. The method according to claim 1, characterized in that After inputting the preset foundation type into the target three-dimensional coupling model to obtain settlement deformation characteristic results output by the target three-dimensional coupling model after performing a target paving test analysis on the subgrade settlement during construction and the subgrade settlement after construction on the high-undulating terrain according to the preset foundation type, the method further includes: Classifying and arranging the obtained settlement and deformation characteristic results to determine differences in geological characteristics, topographic and geomorphic characteristics, geological structural characteristics, roadbed characteristics, and filler characteristics between each foundation type included in the multiple foundation types; A first settlement control index subset is established based on the differences in geological characteristics, a second settlement control index subset is established based on the differences in topographic and geomorphic characteristics, a third settlement control index subset is established based on the differences in geological structural characteristics, a fourth settlement control index subset is established based on the differences in roadbed characteristics, and a fifth settlement control index subset is established based on the differences in filler characteristics, wherein the first settlement control index subset, the second settlement control index subset, the third settlement control index subset, the fourth settlement control index subset, and the fifth settlement control index subset have different control priorities for the roadbed settlement during construction and the roadbed settlement after construction on the high-undulating terrain; The first settlement control index subset, the second settlement control index subset, the third settlement control index subset, the fourth settlement control index subset, and the fifth settlement control index subset are integrated to generate a differentiated settlement control index database.

8. An electronic device, characterized in that: The electronic device includes: one or more processors and a memory; the memory is coupled to the one or more processors, the memory is used to store computer program code, the computer program code includes computer instructions, and the one or more processors call the computer instructions to enable the electronic device to execute the method as described in any one of claims 1-7.

9. A computer-readable storage medium comprising instructions, characterized in that: When the instructions are executed on an electronic device, the electronic device is caused to execute the method according to any one of claims 1 to 7.

10. A computer program product, characterized in that When the computer program product is run on an electronic device, the electronic device is enabled to perform the method according to any one of claims 1 to 7.

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