A digital design method and system for asphalt pavement structure under multi-field coupling

Abstract

The present application provides a kind of asphalt pavement structure digital design method and system under the action of multiple field coupling, collects the multiple-source basic data required for asphalt pavement design, constructs the asphalt pavement digital twin virtual model corresponding to actual engineering site one by one, realizes the full coupling dynamic numerical simulation of temperature field, stress field, humidity field and traffic load field based on digital twin virtual model, determines the adaptive design parameters of asphalt pavement structure in combination with full life cycle performance prediction, real-time acquisition of field construction parameters in construction process and feedback to digital twin virtual model, dynamic correction and iterative optimization are carried out on design parameters, finally generate the asphalt pavement structure digital design scheme that meets the requirements of multiple field coupling. By using the scheme of the present application, the real response of pavement under the coupling action of complex environment and traffic load can be accurately simulated, seamless connection of design and construction is realized, the accuracy and durability of asphalt pavement structure design are significantly improved, and the full life cycle cost is reduced.

Description

Technical Field

[0001] This invention relates to the field of digital design technology for road engineering, and in particular to a digital design method and system for asphalt pavement structures under multi-field coupling. Background Technology

[0002] Asphalt pavement is the main pavement form of high-grade highways in my country, and the rationality of its structural design directly determines the service life and driving safety of the pavement. During its service life, asphalt pavement is simultaneously subjected to the coupled effects of multiple factors such as temperature changes, rainwater erosion, and traffic loads. These factors influence and interact with each other, leading to various pavement defects such as fatigue cracking, rutting, and water damage.

[0003] Currently, asphalt pavement structure design mainly employs experience-based and semi-experience-based design methods. These methods typically consider only a single load field or simple two-field coupling effects, failing to accurately simulate the actual pavement response under complex environmental and traffic load conditions. This leads to significant discrepancies between design results and actual engineering conditions. Furthermore, existing design methods are mostly static, unable to dynamically adjust the design based on actual parameter changes during construction, easily resulting in a disconnect between design and construction. In addition, existing design methods lack systematic prediction of the entire life-cycle performance of asphalt pavements, making it difficult to optimize design schemes from a life-cycle perspective, leading to insufficient pavement durability and excessively high life-cycle costs. Therefore, achieving accurate, dynamic, and full-life-cycle digital design of asphalt pavement structures under multi-field coupling effects has become a pressing technical challenge for the industry. Summary of the Invention

[0004] Based on this, the present invention provides a digital design method and system for asphalt pavement structures under multi-field coupling that can accurately simulate multi-field coupling effects, achieve seamless integration of design and construction, and take into account the performance throughout the entire life cycle.

[0005] In a first aspect, the present invention provides a digital design method for asphalt pavement structures under multi-field coupling, comprising the following steps:

[0006] Collect multi-source basic data required for asphalt pavement design;

[0007] Based on the aforementioned multi-source basic data, a digital twin virtual model of asphalt pavement corresponding one-to-one with the actual engineering site is constructed.

[0008] Based on the digital twin virtual model of the asphalt pavement, a fully coupled dynamic numerical simulation of the temperature field, stress field, humidity field and traffic load field is realized to obtain pavement structure response data under multi-field coupling.

[0009] Based on the pavement structure response data, adaptive design parameters for asphalt pavement structures are determined by combining full life cycle performance prediction.

[0010] During construction, on-site construction parameters are collected in real time and fed back to the digital twin virtual model of the asphalt pavement to dynamically correct and iteratively optimize the adaptive design parameters.

[0011] Based on the optimized design parameters, a digital design scheme for asphalt pavement structure that meets the requirements of multi-field coupling is generated.

[0012] As a further improvement to the technical solution of this invention, the collection of multi-source basic data required for asphalt pavement design specifically includes:

[0013] Collect geological survey data of the engineering site, including soil layer distribution, soil modulus, and groundwater level;

[0014] Collect historical meteorological data for the region, including annual extreme temperatures, rainfall, sunshine duration, and wind speed;

[0015] Collect traffic load data, including traffic volume, axle load spectrum, and vehicle speed distribution;

[0016] Collect material performance data for asphalt mixtures, including dynamic modulus, Poisson's ratio, creep parameters, and water stability parameters at different temperatures.

[0017] As a further improvement to the technical solution of this invention, the construction of a digital twin virtual model of asphalt pavement corresponding one-to-one with the actual engineering site specifically includes:

[0018] A three-dimensional geological model of the site is constructed based on the geological survey data, and a three-dimensional geometric model of the asphalt pavement structure is constructed based on the preliminary design scheme.

[0019] The historical meteorological data, traffic load data, and material performance data are mapped to the three-dimensional geometric model, and corresponding attribute parameters are assigned to each component of the model.

[0020] Establish a data interaction interface between the digital twin virtual model and the physical entity to realize the real-time transmission of physical entity data to the virtual model and the feedback of virtual model calculation results to the physical entity.

[0021] As a further improvement to the technical solution of this invention, the fully coupled dynamic numerical simulation of temperature field, stress field, humidity field and traffic load field specifically includes:

[0022] Establish the temperature field control equation, taking into account the effects of solar radiation, air temperature changes, heat conduction, and heat convection on the road surface temperature distribution;

[0023] Establish a humidity field control equation, taking into account the effects of rainfall infiltration, capillary action, and water evaporation on road surface humidity distribution;

[0024] Establish the stress field control equation, taking into account the dynamic load effect of traffic load and the coupling effect of temperature stress and humidity stress;

[0025] The finite element method was used to solve the above governing equations simultaneously, and the pavement structure response data under multi-field coupling at different time steps were obtained, including stress, strain, displacement, and damage evolution.

[0026] As a further improvement to the technical solution of this invention, the adaptive design parameters of the asphalt pavement structure are determined based on the pavement structure response data, in conjunction with full life-cycle performance prediction, specifically including:

[0027] Based on the pavement structure response data, damage mechanics methods are used to predict the evolution of asphalt pavement defects such as fatigue cracking, rutting, and water damage within the design service life.

[0028] With the lowest life-cycle cost and optimal durability as the objective functions, and the pavement structure layer thickness, material mix ratio, and compaction degree as design variables, a multi-objective optimization model is established.

[0029] Solving the multi-objective optimization model yields the adaptive design parameters for the asphalt pavement structure.

[0030] As a further improvement to the technical solution of this invention, the real-time collection of on-site construction parameters during construction and the feedback of these parameters to the digital twin virtual model of the asphalt pavement specifically includes:

[0031] The asphalt mixture paving temperature, compaction temperature, number of compaction passes, compaction degree, and paving thickness are collected in real time through IoT sensors during the construction process.

[0032] The collected on-site construction parameters are transmitted in real time to the data access layer of the digital twin virtual model via a 5G communication network.

[0033] The material property parameters and geometric parameters of the corresponding structural layer in the digital twin virtual model are updated based on the on-site construction parameters.

[0034] As a further improvement to the technical solution of the present invention, the dynamic correction and iterative optimization of the adaptive design parameters specifically includes:

[0035] Based on the updated digital twin virtual model, a multi-field coupled dynamic numerical simulation was performed again to obtain the corrected pavement structure response data.

[0036] Compare the corrected pavement structure response data with the preset performance index requirements. If the requirements are not met, adjust the design variables and perform multi-objective optimization again.

[0037] Repeat the above steps until the corrected pavement structure response data meets the preset performance index requirements, and obtain the optimized design parameters.

[0038] As a further improvement to the technical solution of this invention, the generation of a digital design scheme for asphalt pavement structure that meets the requirements of multi-field coupling specifically includes:

[0039] Based on the optimized design parameters, a design document is generated that includes the pavement structure layer combination, the thickness of each layer, the material mix ratio, and the construction process requirements.

[0040] By linking design documents with digital twin virtual models, interactive 3D digital design results can be generated.

[0041] Output design calculation sheets, construction instructions, and full life cycle performance prediction reports.

[0042] As a further improvement to the technical solution of the present invention, the method further includes:

[0043] During the operation of asphalt pavement, pavement performance monitoring data is continuously collected and fed back to the digital twin virtual model.

[0044] The parameters of the multi-field coupled numerical simulation are updated based on the feedback performance monitoring data, and the remaining service life is re-predicted.

[0045] Based on the predicted remaining service life, a preventative maintenance plan is generated.

[0046] Secondly, the present invention provides a digital design system for asphalt pavement structures under multi-field coupling, comprising:

[0047] The data acquisition module is used to collect multi-source basic data required for asphalt pavement design and on-site construction parameters during the construction process;

[0048] The digital twin construction module is used to construct a digital twin virtual model of asphalt pavement that corresponds one-to-one with the actual engineering site based on the multi-source basic data.

[0049] The multi-field coupling simulation module is used to realize the fully coupled dynamic numerical simulation of temperature field, stress field, humidity field and traffic load field based on the digital twin virtual model of the asphalt pavement, and obtain pavement structure response data under multi-field coupling.

[0050] The design optimization module is used to combine full life cycle performance prediction, determine the adaptive design parameters of the asphalt pavement structure based on the pavement structure response data, and dynamically correct and iteratively optimize the adaptive design parameters according to the on-site construction parameters.

[0051] The output module is used to generate a digital design scheme for asphalt pavement structure that meets the requirements of multi-field coupling based on the optimized design parameters.

[0052] Compared with the prior art, the present invention has the following advantages:

[0053] This invention, by collecting multi-source basic data required for asphalt pavement design and constructing a digital twin virtual model of the asphalt pavement corresponding one-to-one with the actual engineering site, establishes a precise mapping and two-way interactive channel between physical engineering and virtual space. It overcomes the technical bottleneck of traditional asphalt pavement design methods that only consider a single load field or simple two-field coupling, achieving fully coupled dynamic numerical simulation of temperature, stress, humidity, and traffic load fields. This accurately reproduces the real mechanical response and damage evolution of the pavement under the combined action of complex and ever-changing natural environments and dynamic traffic loads, significantly improving the scientific rigor and accuracy of design calculations. Based on this, and combined with full life-cycle performance prediction, adaptive design parameters for the asphalt pavement structure are determined. This system achieves a globally optimal balance between pavement structure durability and the comprehensive costs of construction, maintenance, and operation from a full life-cycle perspective. Simultaneously, by collecting and feeding back on on-site construction parameters in real time and dynamically correcting and iterating design parameters during construction, it effectively addresses the industry pain point of the disconnect between traditional static design and actual construction conditions, ensuring that design schemes can be accurately implemented on-site. The resulting digital design scheme, meeting the requirements of multi-field coupling, realizes integrated digital management and control of asphalt pavement throughout its entire lifecycle from design and construction to operation, significantly extending the service life of asphalt pavement and reducing the comprehensive life-cycle cost. This provides core technological support for the digital transformation and high-quality development of the road engineering field. Attached Figure Description

[0054] Other features, objects, and advantages of the present invention will become more apparent from the following detailed description of non-limiting embodiments with reference to the accompanying drawings:

[0055] Figure 1 This is an exemplary flowchart of a digital design method for asphalt pavement structure under multi-field coupling according to some embodiments of the present invention;

[0056] Figure 2 This is a schematic diagram illustrating the process of constructing a digital twin virtual model of asphalt pavement according to some embodiments of the present invention;

[0057] Figure 3 This is a schematic diagram of a multi-field coupled dynamic numerical simulation process according to some embodiments of the present invention;

[0058] Figure 4 This is a schematic diagram of a digital design system for asphalt pavement structure under multi-field coupling, as shown in some embodiments of the present invention.

[0059] Figure 5 This is a schematic diagram of the structure of a computer device for realizing a digital design method for asphalt pavement structures under multi-field coupling, as shown in some embodiments of the present invention. Detailed Implementation

[0060] The technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative effort are within the scope of protection of the present invention.

[0061] The present invention will be further described in detail below with reference to the accompanying drawings.

[0062] refer to Figure 1 The figure is an exemplary flowchart of a digital design method for asphalt pavement structure under multi-field coupling according to some embodiments of the present invention. This digital design method for asphalt pavement structure under multi-field coupling mainly includes the following steps:

[0063] In step 101, multi-source basic data required for asphalt pavement design are collected.

[0064] In practice, the collection of multi-source basic data required for asphalt pavement design can be achieved in the following ways: First, obtain geological survey data of the engineering site through engineering geological surveys, including soil layer distribution, physical and mechanical parameters of each soil layer (such as soil resilient modulus, cohesion, and internal friction angle), groundwater level depth, and annual variation range; Second, obtain nearly 30 years of regional meteorological historical data from the local meteorological department, including annual maximum temperature, annual minimum temperature, monthly average temperature, annual rainfall, monthly rainfall distribution, and annual sunshine duration. The study first gathers data on duration, average wind speed, and prevailing wind direction. Then, it obtains traffic load data for the project's location through a traffic survey, including average daily traffic volume, vehicle type composition, axle load distribution, vehicle speed distribution, and annual traffic growth rate. Finally, it acquires asphalt mixture material performance data through laboratory tests, including dynamic modulus, Poisson's ratio, creep parameters, splitting strength, and freeze-thaw splitting strength ratio at different temperatures (-10℃, 0℃, 10℃, 20℃, 30℃, 40℃, 50℃, 60℃), among other water stability parameters. All of the above data is standardized and stored in the engineering database for later retrieval.

[0065] In step 102, based on the multi-source basic data, a digital twin virtual model of the asphalt pavement corresponding one-to-one with the actual engineering site is constructed.

[0066] In some embodiments, reference Figure 2As shown in the figure, this is a schematic diagram of the construction process of a digital twin virtual model of asphalt pavement according to some embodiments of the present invention. The construction of a digital twin virtual model of asphalt pavement corresponding one-to-one with the actual engineering site can be achieved by the following steps:

[0067] In step 201, a three-dimensional geological model of the site is constructed based on the geological survey data, and a three-dimensional geometric model of the asphalt pavement structure is constructed based on the preliminary design scheme. Specifically, BIM software (such as Autodesk Civil 3D or Bentley OpenRoads) is used to construct the three-dimensional geological model of the site based on the geological survey borehole data, accurately reflecting the site's topography and soil layer distribution. Simultaneously, a three-dimensional geometric model of the asphalt pavement structure is constructed based on the preliminary design scheme, including the geometry and dimensions of the surface layer, base layer, subbase layer, and subgrade.

[0068] In step 202, the historical meteorological data, traffic load data, and material performance data are mapped to the three-dimensional geometric model, and corresponding attribute parameters are assigned to each component of the model. Specifically, parameters such as temperature and rainfall from the historical meteorological data are assigned to the model as environmental boundary conditions; parameters such as axle load spectrum and driving speed from the traffic load data are assigned to the model as load boundary conditions; and parameters such as dynamic modulus and Poisson's ratio from the material performance data are assigned to the corresponding structural layers in the model, so that each component of the model has physical and mechanical properties consistent with the actual physical entity.

[0069] In step 203, a data interaction interface is established between the digital twin virtual model and the physical entity to enable real-time transmission of physical entity data to the virtual model and feedback of virtual model calculation results to the physical entity. Specifically, a data interaction interface is established based on the OPCUA protocol to support data transmission between physical entities such as IoT sensors, construction equipment, and monitoring equipment and the digital twin virtual model. Simultaneously, a bidirectional data transmission channel is established to enable the uploading of real-time data collected by the physical entity to the virtual model, and the distribution of virtual model calculation results and optimization suggestions to the physical entity.

[0070] It should be noted that the digital twin virtual model of asphalt pavement in this invention refers to a high-fidelity digital model constructed in virtual space that corresponds one-to-one with the actual asphalt pavement engineering entity and maintains real-time data connection. It not only contains the geometric and attribute information of the pavement structure, but also can simulate the behavior and response of the pavement under various working conditions, realizing the virtual-real interaction and synchronous evolution of the physical entity and the virtual model.

[0071] In step 103, based on the digital twin virtual model of the asphalt pavement, a fully coupled dynamic numerical simulation of the temperature field, stress field, humidity field and traffic load field is realized to obtain pavement structure response data under multi-field coupling.

[0072] In some embodiments, reference Figure 3 As shown in the figure, this is a schematic diagram of the multi-field coupled dynamic numerical simulation process according to some embodiments of the present invention. The fully coupled dynamic numerical simulation of temperature field, stress field, humidity field and traffic load field can be achieved by the following steps:

[0073] In step 301, the temperature field control equation is established, considering the influence of solar radiation, air temperature changes, heat conduction, and heat convection on the road surface temperature distribution. In specific implementation, an unsteady-state heat conduction equation is used to describe the temperature distribution inside the road surface structure. Solar radiation and air temperature changes are used as the second type of boundary conditions, and heat convection between the road surface and the air is used as the third type of boundary condition. The changes in thermophysical parameters such as thermal conductivity and specific heat capacity of asphalt pavement materials with temperature are considered.

[0074] In step 302, a humidity field control equation is established, considering the effects of rainfall infiltration, capillary action, and water evaporation on the humidity distribution of the pavement. In specific implementation, the unsaturated soil seepage equation is used to describe the water migration inside the pavement structure, with rainfall as the infiltration boundary condition and water evaporation on the pavement surface as the evaporation boundary condition, taking into account the changes in hydraulic parameters such as the permeability coefficient and saturation of the asphalt mixture with humidity.

[0075] In step 303, the stress field control equation is established, considering the dynamic load effect of traffic load and the coupling effect of temperature stress and humidity stress. In specific implementation, the pavement dynamic response under traffic load is described by the elastic dynamic equation, while considering the temperature stress caused by temperature change and the humidity stress caused by humidity change. The calculation results of the temperature field and humidity field are used as the initial conditions and boundary conditions of the stress field, realizing the full coupling of the three fields with the traffic load field.

[0076] In step 304, the finite element method is used to solve the above-mentioned governing equations simultaneously to obtain pavement structure response data under multi-field coupling at different time steps, including stress, strain, displacement, and damage evolution. Specifically, finite element software (such as ABAQUS or ANSYS) is used to discretize the governing equations and establish a finite element calculation model; the time step is set to 1 hour to simulate the pavement structure response under multi-field coupling over a year; the maximum tensile stress, maximum compressive stress, maximum shear stress, vertical displacement, lateral displacement, and damage variables of each structural layer are output as a function of time.

[0077] It should be noted that the fully coupled dynamic numerical simulation in this invention refers to the coupled simulation of the mutual influence and interaction between the temperature field, humidity field, stress field and traffic load field. That is, changes in the temperature field will affect the humidity field and stress field, changes in the humidity field will affect the temperature field and stress field, and changes in the stress field will in turn affect the temperature field and humidity field. At the same time, the dynamic load of traffic load will have a coupling effect with the above three fields, thereby simulating the real response of the road surface more accurately.

[0078] In step 104, adaptive design parameters for the asphalt pavement structure are determined based on the pavement structure response data, in conjunction with the full life cycle performance prediction.

[0079] In specific implementation, the adaptive design parameters of asphalt pavement structure determined based on the pavement structure response data, combined with full life cycle performance prediction, can be achieved in the following way: First, based on the pavement structure response data obtained from multi-field coupled numerical simulation, an evolution model of asphalt pavement fatigue cracking, rutting, water damage, and other defects is established using the continuous damage mechanics method to predict the development of defects in asphalt pavement within its design service life (e.g., 15 years). Second, a full life cycle cost calculation model is established, including initial construction cost, maintenance cost, operating cost, and user cost. Then, with the minimum full life cycle cost and the minimum cumulative pavement damage as the objective function, and the thickness of the asphalt surface layer, intermediate layer, lower layer, base layer, asphalt mixture mix proportion, and compaction degree as design variables, and pavement structure strength, smoothness, and skid resistance as constraints, a multi-objective optimization model is established. Finally, a genetic algorithm is used to solve the multi-objective optimization model to obtain the Pareto optimal solution set. The optimal solution is selected from this set according to the actual engineering needs, which is the adaptive design parameter of the asphalt pavement structure.

[0080] In step 105, on-site construction parameters are collected in real time during construction, and the on-site construction parameters are fed back to the digital twin virtual model of the asphalt pavement to dynamically correct and iteratively optimize the adaptive design parameters.

[0081] In practice, real-time acquisition of on-site construction parameters during construction can be achieved in the following ways: Temperature and thickness sensors are installed on the asphalt paver to collect the paving temperature and thickness of the asphalt mixture in real time; temperature and vibration sensors are installed on the roller to collect the compaction temperature and number of compaction passes in real time; and a nucleus-free density meter is used to detect the compaction degree of each structural layer of the pavement in real time. All collected on-site construction parameters are transmitted in real time to the data access layer of the digital twin virtual model via a 5G communication network.

[0082] In specific implementation, the dynamic correction and iterative optimization of the adaptive design parameters can be achieved in the following way: After receiving the on-site construction parameters, the digital twin virtual model updates the geometric parameters of the corresponding structural layer in the model according to the actual paving thickness, and updates the material performance parameters (such as dynamic modulus and resilient modulus) of the corresponding structural layer in the model according to the actual compaction degree; based on the updated digital twin virtual model, a multi-field coupled dynamic numerical simulation is performed again to obtain the corrected pavement structure response data; the corrected pavement structure response data is compared with the preset performance index requirements. If the requirements are not met, the design variables are adjusted (such as increasing the thickness of a certain structural layer or optimizing the asphalt mixture mix ratio) and multi-objective optimization is performed again; the above steps are repeated until the corrected pavement structure response data meets the preset performance index requirements, and the optimized design parameters are obtained.

[0083] In step 106, based on the optimized design parameters, a digital design scheme for asphalt pavement structure that meets the requirements of multi-field coupling is generated.

[0084] In practice, generating a digital design scheme for asphalt pavement structure that meets the requirements of multi-field coupling can be achieved in the following way: Based on the optimized design parameters, automatically generate design documents that include pavement structure layer combinations, layer thicknesses, material mix ratios, construction process requirements, and quality acceptance standards; associate the design documents with a digital twin virtual model to generate interactive 3D digital design results, allowing designers, construction personnel, and supervisors to view design details and construction requirements through the 3D model; output detailed design calculation sheets, construction guidelines, and full life cycle performance prediction reports to provide comprehensive technical support for engineering construction and operation management.

[0085] In some embodiments, the method further includes a full life-cycle management step during the operation phase of the asphalt pavement, namely: during the operation phase of the asphalt pavement, continuously collecting pavement performance monitoring data, including pavement smoothness, rut depth, crack length and width, and stress-strain state within the pavement structure, through stress sensors, strain sensors, temperature sensors, humidity sensors, and automatic pavement detection equipment installed inside the pavement; feeding the collected performance monitoring data back to the digital twin virtual model in real time to update the model's material performance parameters and damage state; based on the updated digital twin virtual model, re-performing multi-field coupled numerical simulation to re-predict the remaining service life of the pavement; and generating optimal preventive maintenance recommendations based on the remaining service life prediction results and the development of pavement defects, including maintenance timing, maintenance methods, and maintenance cost estimates, to guide pavement maintenance management.

[0086] Furthermore, in another aspect, in some embodiments, the present invention provides a digital design system for asphalt pavement structures under multi-field coupling, referring to... Figure 4 The figure is a schematic diagram of a digital design system for asphalt pavement structure under multi-field coupling according to some embodiments of the present invention. This digital design system for asphalt pavement structure under multi-field coupling includes: an acquisition module, a digital twin construction module, a multi-field coupling simulation module, a design optimization module, and an output module, which are described below:

[0087] The acquisition module in this invention is mainly used to acquire multi-source basic data required for asphalt pavement design and on-site construction parameters during the construction process;

[0088] The digital twin construction module in this invention is mainly used to construct a digital twin virtual model of asphalt pavement that corresponds one-to-one with the actual engineering site based on the multi-source basic data.

[0089] The multi-field coupling simulation module in this invention is mainly used to realize the fully coupled dynamic numerical simulation of temperature field, stress field, humidity field and traffic load field based on the digital twin virtual model of the asphalt pavement, and obtain pavement structure response data under multi-field coupling.

[0090] The design optimization module in this invention is mainly used to combine full life cycle performance prediction, determine the adaptive design parameters of the asphalt pavement structure based on the pavement structure response data, and dynamically correct and iteratively optimize the adaptive design parameters according to the on-site construction parameters.

[0091] The output module in this invention is mainly used to generate a digital design scheme for asphalt pavement structure that meets the requirements of multi-field coupling based on the optimized design parameters.

[0092] The modules in the digital design system for asphalt pavement structures under the aforementioned multi-field coupling can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in the processor of a computer device in hardware form or independent of it, or stored in the computer device's memory in software form, so that the processor can call and execute the corresponding operations of each module.

[0093] In another embodiment, the present invention provides a computer device, which may be a server, and its internal structure diagram may be as follows: Figure 5As shown, the computer device includes a processor, memory, and network interface connected via a system bus. The processor provides computational and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores the operating system, computer programs, and a database. The internal memory provides the environment for the operation of the operating system and computer programs stored in the non-volatile storage media. The database stores multi-source basic data, digital twin model data, multi-field coupling simulation results, and design scheme data for asphalt pavement design. The network interface communicates with external terminals, sensors, and construction equipment via a network. When executed by the processor, the computer program implements a digital design method for asphalt pavement structures under multi-field coupling.

[0094] Those skilled in the art will understand that Figure 5 The structure shown is merely a block diagram of a portion of the structure related to the present invention and does not constitute a limitation on the computer device to which the present invention is applied. A specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

[0095] In one embodiment, a computer device is also provided, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the steps in the above embodiment of the digital design method for asphalt pavement structure under multi-field coupling.

[0096] In one embodiment, a computer-readable storage medium is provided storing a computer program that, when executed by a processor, implements the steps in the above-described embodiment of the digital design method for asphalt pavement structures under multi-field coupling.

[0097] In one embodiment, a computer program product or computer program is provided, comprising computer instructions stored in a computer-readable storage medium. A processor of a computer device reads the computer instructions from the computer-readable storage medium and executes the computer instructions, causing the computer device to perform the steps described in the embodiment of the digital design method for asphalt pavement structures under multi-field coupling.

[0098] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium, and when executed, it can include the processes of the embodiments of the methods described above. Any references to memory, storage, databases, or other media used in the embodiments provided by this invention can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, or optical storage, etc. Volatile memory can include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM), etc.

[0099] The technical solutions provided by the embodiments disclosed in this invention have the following beneficial effects:

[0100] The digital design method and system for asphalt pavement structures under multi-field coupling provided by this invention firstly collects multi-source basic data required for asphalt pavement design and constructs a digital twin virtual model of the asphalt pavement that corresponds one-to-one with the actual engineering site. This step establishes a precise mapping relationship between the physical engineering and the virtual space, providing a unified digital carrier for subsequent multi-field coupling simulation and dynamic design. Secondly, based on the digital twin virtual model, a fully coupled dynamic numerical simulation of the temperature field, stress field, humidity field, and traffic load field is achieved to obtain pavement structure response data under multi-field coupling. This step overcomes the limitations of traditional single-field or two-field coupling simulation, accurately reproducing the real pavement response under the combined action of complex environments and traffic loads, significantly improving the accuracy of design calculations. Then, combined with full life-cycle performance prediction, based on the pavement... The adaptive design parameters of the asphalt pavement structure are determined by surface structural response data. This step, from a life-cycle perspective, performs multi-objective optimization with the goals of optimal durability and lowest cost, achieving a globally optimal design scheme. Next, during construction, on-site construction parameters are collected in real time and fed back to the digital twin virtual model for dynamic correction and iterative optimization of the design parameters. This step achieves seamless integration between design and construction, effectively solving the problem of disconnect between traditional static design and actual construction, ensuring the accurate implementation of the design scheme in actual construction. Finally, based on the optimized design parameters, a digital design scheme for the asphalt pavement structure that meets the requirements of multi-field coupling is generated. Simultaneously, performance data is continuously fed back and maintenance suggestions are generated during the operation phase, realizing digital management of the entire life-cycle of asphalt pavement from design and construction to operation. In summary, the solution of this invention can accurately simulate pavement response under multi-field coupling, achieve seamless integration between design and construction, significantly improve the accuracy and durability of asphalt pavement structure design, and reduce life-cycle costs.

[0101] The embodiments described above are merely illustrative of several implementations of the present invention, and while the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the invention patent. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of the present invention, and these all fall within the protection scope of the present invention. Therefore, the protection scope of this invention patent should be determined by the appended claims.

Claims

1. A digital design method for asphalt pavement structures under multi-field coupling, characterized in that, Includes the following steps: Collect multi-source basic data required for asphalt pavement design; Based on the aforementioned multi-source basic data, a digital twin virtual model of asphalt pavement corresponding one-to-one with the actual engineering site is constructed. Based on the digital twin virtual model of the asphalt pavement, a fully coupled dynamic numerical simulation of the temperature field, stress field, humidity field and traffic load field is realized to obtain pavement structure response data under multi-field coupling. Based on the pavement structure response data, adaptive design parameters for asphalt pavement structures are determined by combining full life cycle performance prediction. During construction, on-site construction parameters are collected in real time and fed back to the digital twin virtual model of the asphalt pavement to dynamically correct and iteratively optimize the adaptive design parameters. Based on the optimized design parameters, a digital design scheme for asphalt pavement structure that meets the requirements of multi-field coupling is generated.

2. The digital design method for asphalt pavement structure under multi-field coupling as described in claim 1, characterized in that, The collection of multi-source basic data required for asphalt pavement design specifically includes: Collect geological survey data of the engineering site, including soil layer distribution, soil modulus, and groundwater level; Collect historical meteorological data for the region, including annual extreme temperatures, rainfall, sunshine duration, and wind speed; Collect traffic load data, including traffic volume, axle load spectrum, and vehicle speed distribution; Collect material performance data for asphalt mixtures, including dynamic modulus, Poisson's ratio, creep parameters, and water stability parameters at different temperatures.

3. The digital design method for asphalt pavement structure under multi-field coupling as described in claim 2, characterized in that, The construction of a digital twin virtual model of asphalt pavement that corresponds one-to-one with the actual engineering site specifically includes: A three-dimensional geological model of the site is constructed based on the geological survey data, and a three-dimensional geometric model of the asphalt pavement structure is constructed based on the preliminary design scheme. The historical meteorological data, traffic load data, and material performance data are mapped to the three-dimensional geometric model, and corresponding attribute parameters are assigned to each component of the model. Establish a data interaction interface between the digital twin virtual model and the physical entity to realize the real-time transmission of physical entity data to the virtual model and the feedback of virtual model calculation results to the physical entity.

4. The digital design method for asphalt pavement structure under multi-field coupling as described in claim 1, characterized in that, Achieving fully coupled dynamic numerical simulation of temperature, stress, humidity, and traffic load fields specifically includes: Establish the temperature field control equation, taking into account the effects of solar radiation, air temperature changes, heat conduction, and heat convection on the road surface temperature distribution; Establish a humidity field control equation, taking into account the effects of rainfall infiltration, capillary action, and water evaporation on road surface humidity distribution; Establish the stress field control equation, taking into account the dynamic load effect of traffic load and the coupling effect of temperature stress and humidity stress; The finite element method was used to solve the temperature field control equation, humidity field control equation, and stress field control equation simultaneously, and the pavement structure response data under multi-field coupling at different time steps were obtained, including stress, strain, displacement, and damage evolution.

5. The digital design method for asphalt pavement structure under multi-field coupling as described in claim 1, characterized in that, Combining full life-cycle performance prediction, the adaptive design parameters for asphalt pavement structures determined based on the pavement structure response data specifically include: Based on the pavement structure response data, a digital design method for asphalt pavement structure under multi-field coupling of damage mechanics is used to predict the disease evolution of asphalt pavement within its design service life, including fatigue cracking, rutting, and water damage. With the lowest life-cycle cost and optimal durability as the objective functions, and the pavement structure layer thickness, material mix ratio, and compaction degree as design variables, a multi-objective optimization model is established. Solving the multi-objective optimization model yields the adaptive design parameters for the asphalt pavement structure.

6. The digital design method for asphalt pavement structure under multi-field coupling as described in claim 1, characterized in that, The real-time collection of on-site construction parameters during construction and the feedback of these parameters to the digital twin virtual model of the asphalt pavement specifically includes: The asphalt mixture paving temperature, compaction temperature, number of compaction passes, compaction degree, and paving thickness are collected in real time through IoT sensors during the construction process. The collected on-site construction parameters are transmitted in real time to the data access layer of the digital twin virtual model via a 5G communication network. The material property parameters and geometric parameters of the corresponding structural layer in the digital twin virtual model are updated based on the on-site construction parameters.

7. The digital design method for asphalt pavement structure under multi-field coupling as described in claim 6, characterized in that, The dynamic correction and iterative optimization of the adaptive design parameters specifically includes: Step S1: Based on the updated digital twin virtual model, perform a multi-field coupled dynamic numerical simulation again to obtain the corrected pavement structure response data; Step S2: Compare the corrected pavement structure response data with the preset performance index requirements. If the requirements are not met, adjust the design variables and perform multi-objective optimization again. Repeat steps S1 to S2 until the corrected pavement structure response data meets the preset performance index requirements, and obtain the optimized design parameters.

8. The digital design method for asphalt pavement structure under multi-field coupling as described in claim 1, characterized in that, Generating a digital design scheme for asphalt pavement structure that meets the requirements of multi-field coupling specifically includes: Based on the optimized design parameters, a design document is generated that includes the pavement structure layer combination, the thickness of each layer, the material mix ratio, and the construction process requirements. By linking design documents with digital twin virtual models, interactive 3D digital design results can be generated. Output design calculation sheets, construction instructions, and full life cycle performance prediction reports.

9. The digital design method for asphalt pavement structure under multi-field coupling as described in claim 1, characterized in that, The method further includes: During the operation of asphalt pavement, pavement performance monitoring data is continuously collected and fed back to the digital twin virtual model. The parameters of the multi-field coupled numerical simulation are updated based on the feedback performance monitoring data, and the remaining service life is re-predicted. Based on the predicted remaining service life, a preventative maintenance plan is generated.

10. A digital design system for asphalt pavement structures under multi-field coupling, characterized in that, include: The data acquisition module is used to collect multi-source basic data required for asphalt pavement design and on-site construction parameters during the construction process; The digital twin construction module is used to construct a digital twin virtual model of asphalt pavement that corresponds one-to-one with the actual engineering site based on the multi-source basic data. The multi-field coupling simulation module is used to realize the fully coupled dynamic numerical simulation of temperature field, stress field, humidity field and traffic load field based on the digital twin virtual model of the asphalt pavement, and obtain pavement structure response data under multi-field coupling. The design optimization module is used to combine full life cycle performance prediction, determine the adaptive design parameters of the asphalt pavement structure based on the pavement structure response data, and dynamically correct and iteratively optimize the adaptive design parameters according to the on-site construction parameters. The output module is used to generate digital design schemes for asphalt pavement structures that meet the requirements of multi-field coupling based on optimized design parameters.

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