Thermal coupling phase change energy storage asphalt mixture design method and system

Abstract

This invention relates to the field of road engineering material design and intelligent optimization technology, and discloses a thermo-coupled phase change energy storage asphalt mixture design method and system, including the following specific steps: S1 Obtain the ambient temperature of the target road scenario, candidate phase change energy storage materials, and basic parameters of candidate asphalt mixtures; S2 Determine the target temperature regulation zone and allowable temperature difference threshold based on the ambient temperature, correct the phase change temperature, latent heat, and thermal conductivity of candidate materials, and obtain the phase change working temperature zone and equivalent thermal parameters; S3 Calculate the thermal matching coefficient by combining the temperature zone overlap, equivalent thermal parameters, and basic mixture parameters, and screen the materials to be evaluated; S4 Form candidate combinations according to preset dosages, evaluate the temperature regulation and mechanical properties based on the thermo-mechanical coupling calibration relationship, and eliminate substandard combinations; S5 Calculate the comprehensive evaluation value, determine the optimal material type, recommended dosage range, and construction temperature adjustment value; S6 Generate the mix design results. This invention can solve the problem of phase change energy storage asphalt mixture optimization design.

Description

Technical Field

[0001] This invention relates to the field of road engineering material design and intelligent optimization technology, specifically to a design method and system for thermo-coupled phase change energy storage asphalt mixtures. Background Technology

[0002] Asphalt pavement is widely used in various engineering projects, including highways, municipal roads, and airport pavements, due to its advantages such as good driving comfort, high construction efficiency, and convenient maintenance. However, asphalt mixtures are typical temperature-sensitive materials, and their mechanical properties and service conditions are significantly affected by changes in ambient temperature. Under high-temperature conditions, the asphalt binder softens, reducing the overall deformation resistance of the pavement structure and making it prone to high-temperature defects such as rutting and swelling. Under low-temperature conditions, the asphalt material becomes more brittle, easily inducing low-temperature shrinkage cracking, which in turn affects the service life of the pavement and driving safety. Especially in areas with large diurnal temperature differences, strong solar radiation, or significant seasonal temperature fluctuations, the pavement temperature field changes more complexly, and traditional asphalt mixtures struggle to balance high-temperature stability and low-temperature crack resistance. Therefore, how to effectively control pavement temperature has become an important technical direction of continuous focus in the field of road engineering materials.

[0003] Phase change energy storage materials (PCEs) can store and release heat within a specific temperature range through heat absorption and release, thereby smoothing out peak and valley fluctuations in external temperature. Introducing PCEs into asphalt mixtures is expected to utilize their latent heat of phase change to regulate the pavement temperature field, reduce high-temperature peaks, mitigate temperature gradient changes, and improve the thermal response characteristics of asphalt pavements to some extent. Therefore, PCE asphalt mixtures are gradually becoming an important research direction in road functional materials.

[0004] However, the application of existing phase change energy storage materials in asphalt mixtures still faces many limitations. First, there are difficulties in matching thermal parameters such as phase change temperature, latent heat of phase change, thermal conductivity, and specific heat capacity with actual road service conditions. Significant differences exist in climate conditions, solar radiation intensity, diurnal temperature range, and pavement structure across different regions, resulting in a lack of unified guidelines for the selection and parameter determination of phase change materials. Second, while the incorporation of phase change energy storage materials may improve the pavement's temperature regulation capability, increasing the dosage may also lead to a decrease in the overall strength of the mixture, deterioration of stability, and weakening of rutting resistance. In other words, there is a clear constraint between the improvement of thermal properties and the maintenance of mechanical properties. Third, existing design methods often rely on empirical mix design, single-factor experiments, or evaluation based on a single performance index. They typically focus only on cooling effects or single mechanical indicators, making it difficult to systematically balance and synergistically optimize temperature regulation capability, road performance, and material costs.

[0005] Based on the above, the technical problem that the existing technology urgently needs to solve is: how to establish a design method for phase change energy storage asphalt mixtures for road engineering applications, which integrates phase change material parameters, asphalt mixture parameters, environmental condition parameters, and road performance indicators into a unified technical framework for collaborative analysis and solution, so as to ensure the phase change temperature regulation effect while taking into account the strength, stability, and economy of the mixture, thereby realizing the scientific selection of materials, reasonable blending, and engineering optimization design of phase change energy storage asphalt mixtures. Summary of the Invention

[0006] Based on the above description, the present invention provides a design method and system for thermo-coupled phase change energy storage asphalt mixtures to solve the problem of optimized design of phase change energy storage asphalt mixtures.

[0007] On the one hand, the technical solution of the present invention to solve the above-mentioned technical problems is as follows: a design method for thermo-coupled phase change energy storage asphalt mixture, comprising the following specific steps;

[0008] S1 acquires the ambient temperature parameters, candidate phase change energy storage material parameters, and candidate asphalt mixture basic parameters for the target road application scenario;

[0009] S2 determines the target temperature regulation zone and allowable temperature difference threshold based on the ambient temperature parameters, and corrects the phase change initiation temperature, phase change termination temperature, phase change latent heat and thermal conductivity of each candidate phase change energy storage material to obtain the phase change working temperature zone and equivalent thermal parameters corresponding to each candidate phase change energy storage material.

[0010] S3 calculates the thermal matching coefficient of each candidate phase change energy storage material in the target road application scenario based on the degree of overlap between the phase change working temperature zone and the target temperature regulation zone, the equivalent thermal parameters, and the basic parameters of the candidate asphalt mixture, and selects the materials to be evaluated whose thermal matching coefficient is not lower than the first threshold.

[0011] S4 forms candidate combinations for each material to be evaluated according to the preset dosage range, and determines the temperature adjustment amplitude, equivalent modulus reduction factor and strength retention factor corresponding to each candidate combination based on the pre-established thermo-mechanical coupling calibration relationship, and eliminates candidate combinations whose Marshall stability, compressive strength and dynamic stability are all below the corresponding lower limit threshold.

[0012] S5 calculates a comprehensive evaluation value for the candidate combinations that are retained after elimination, based on the temperature adjustment amplitude, the strength retention coefficient, and the cost parameters, and determines the optimal phase change energy storage material type, recommended dosage range, and construction temperature adjustment value for the target road application scenario based on the comprehensive evaluation value.

[0013] S6 generates the mix design results for phase change energy storage asphalt mixture based on the optimal phase change energy storage material type, recommended dosage range, and construction temperature adjustment value.

[0014] It should be understood that this invention determines the target temperature regulation zone and allowable temperature difference threshold by acquiring the environmental temperature parameters of the target road application scenario, the parameters of candidate phase change energy storage materials, and the basic parameters of candidate asphalt mixtures. It then corrects the phase change thermal parameters of the candidate phase change energy storage materials, further filters materials for evaluation by combining the matching relationship between the phase change working temperature zone and the target temperature regulation zone, and evaluates and constrains the temperature regulation amplitude, equivalent modulus reduction coefficient, and strength retention coefficient of different candidate combinations based on the thermo-mechanical coupling calibration relationship. Finally, it calculates a comprehensive evaluation value based on cost parameters and outputs the optimal phase change energy storage material type, recommended dosage range, and construction temperature adjustment value. This achieves collaborative analysis and solution of phase change material parameters, asphalt mixture parameters, environmental condition parameters, and road performance indicators within a unified technical framework. Compared to design methods that rely on experience-based trial mixing or single performance indicators, this invention can ensure the phase change temperature regulation effect while also considering the strength, stability, and economy of the mixture, improving the scientificity and rationality of material selection, blending, and engineering design of phase change energy storage asphalt mixtures.

[0015] Based on the above technical solution, the present invention can be further improved as follows.

[0016] Furthermore, the environmental temperature parameters include at least the annual average surface temperature, extreme high temperature, diurnal temperature range, solar radiation intensity, and wind speed, and the basic parameters of the candidate asphalt mixture include at least the gradation parameters, asphalt-aggregate ratio, asphalt type, mixture density, porosity, and coefficient of thermal expansion.

[0017] Step S1 further includes: performing time-period statistics and operating condition decomposition on the ambient temperature parameters, and extracting the temperature range corresponding to the peak heating period. Temperature range corresponding to the cooling period The target temperature range is determined according to the following formula. and allowable temperature difference threshold : ; ; ; Indicates the lower limit of the target temperature range. This indicates the upper limit of the target temperature range.

[0018] Furthermore, step S2 includes: S21, performing differential scanning calorimetry on each candidate phase change energy storage material to obtain the phase change initiation temperature. Phase transition peak temperature Phase transition termination temperature and apparent latent heat of phase transition ;

[0019] S22, based on standard heating and cooling rates For actual test rate The phase transition initiation temperature, phase transition peak temperature, phase transition termination temperature, and apparent latent heat of phase transition obtained below are corrected for rate compensation using the following formula: ;

[0020] ; ; ; , , and These represent the corrected phase transition initiation temperature, corrected phase transition peak temperature, corrected phase transition termination temperature, and corrected phase transition latent heat, respectively. , , and These are the correction factors determined through calibration tests;

[0021] S23, based on the volume fraction of candidate phase change energy storage materials in candidate asphalt mixtures Thermal conductivity of the matrix Thermal conductivity of candidate phase change energy storage materials The thermal conductivity is corrected using an equivalent medium algorithm to obtain the corrected thermal conductivity. Its expression is: ;

[0022] S24, based on the corrected latent heat of phase transition Volume fraction of candidate phase change energy storage materials and the density of the mixture Calculate the equivalent heat storage per unit volume : ; and the corrected latent heat of phase transition The corrected thermal conductivity and the equivalent heat storage per unit volume As the equivalent thermal parameter, This serves as the phase change operating temperature range.

[0023] Furthermore, in step S3, the thermal matching coefficient Based on the interval overlap coefficient Equivalent heat storage per unit volume and thermal conductivity deviation coefficient Determined, among which: ; ; ; Indicates the reference thermal conductivity. This represents the maximum value of the equivalent heat storage per unit volume in the candidate phase change energy storage material. , and Let be the weighting coefficient, and satisfy: ;

[0024] The thermal matching coefficient Not lower than the first threshold The candidate phase change energy storage materials were identified as materials to be evaluated.

[0025] Furthermore, the thermo-mechanical coupling calibration relationship is established through a response surface regression model. Specifically, samples are prepared for different types of phase change energy storage materials, different dosage levels, and different combinations of basic parameters of candidate asphalt mixtures. Temperature rise and fall tests, Marshall stability tests, compressive strength tests, and rutting tests are conducted to obtain the temperature regulation amplitude. Equivalent modulus reduction factor and strength retention coefficient ; with input variable vector ;

[0026] As the independent variable, among which, Indicates the content of phase change energy storage materials. Indicates porosity. Indicates the oil-stone ratio, Indicates the range of temperature change. Indicates the coefficient of thermal expansion; , and As the dependent variable, the following response surface regression equations are established respectively:

[0027] ;

[0028] , , , , , and These are the regression coefficients obtained through calibration experiments.

[0029] Furthermore, in step S4: the strength retention coefficient The formula is calculated by weighting the Marshall stability retention rate, compressive strength retention rate, and dynamic stability retention rate corresponding to the candidate combinations. ;

[0030] , and These represent the Marshall stability, compressive strength, and dynamic stability of the candidate combinations, respectively. , and These represent the baseline Marshall stability, baseline compressive strength, and baseline dynamic stability without the addition of phase change energy storage materials, respectively. , and Let be the weighting coefficient, and satisfy: The equivalent modulus reduction factor The modulus shift factor is determined using the time-temperature equivalence principle. Calculated according to the Williams-Landel-Ferry equation: ;

[0031] Calculate the reference temperature according to the following formula. The equivalent modulus reduction factor is as follows: ; Indicates temperature The dynamic modulus under the following conditions Indicates the baseline dynamic modulus. and These are empirical constants;

[0032] Candidate combinations that meet any of the following conditions will be eliminated: or or or , , , and These represent the corresponding lower threshold values.

[0033] Furthermore, step S5 includes:

[0034] The temperature regulation amplitude, the strength retention coefficient, and the cost parameter are dimensionless, wherein the benefit-related indicators are calculated according to the following formula: Cost-related indicators are calculated using the following formula: ;

[0035] Indicates the first The candidate combination at the in The original values ​​under each evaluation indicator This represents the corresponding dimensionless value;

[0036] The entropy weight method is used to determine the weights of temperature regulation indicators, mechanical performance indicators, and cost indicators. The calculation formula is as follows:

[0037] ; ; ; Indicates the first Under the evaluation index, the first The proportion of each candidate combination Indicates the first Information entropy of each evaluation indicator Indicates the first The weight of each evaluation indicator;

[0038] The comprehensive evaluation value of each candidate combination is calculated using an algorithm that approximates the ideal solution. Its expression is:

[0039] ; ; ;

[0040] Indicates the first The distance from each candidate combination to the ideal solution. Indicates the first The distance from each candidate combination to the negative ideal solution and They represent the first The positive and negative ideal values ​​of each evaluation indicator;

[0041] The phase change energy storage material type corresponding to the candidate combination with the highest comprehensive evaluation value is determined as the optimal phase change energy storage material type, and the combination that satisfies the following criteria is selected. The continuous dosage range is determined as the recommended dosage range, where, The preset deviation coefficient, The maximum value is the comprehensive evaluation value; based on the mixing temperature corresponding to the optimal candidate combination. Reference mixing temperature Compaction temperature and reference compaction temperature Calculate the construction temperature adjustment value : .

[0042] Secondly, the technical solution of the present invention to solve the above-mentioned technical problems is as follows: a thermo-coupled phase change energy storage asphalt mixture design system, a parameter acquisition module, used to acquire the ambient temperature parameters of the target road application scenario, the parameters of candidate phase change energy storage materials and the basic parameters of candidate asphalt mixtures;

[0043] The temperature zone determination module is used to determine the target temperature zone and the allowable temperature difference threshold based on the ambient temperature parameters.

[0044] The thermal parameter correction module is used to correct the phase change initiation temperature, phase change termination temperature, phase change latent heat and thermal conductivity of each candidate phase change energy storage material, so as to obtain the phase change working temperature range and equivalent thermal parameters of each candidate phase change energy storage material.

[0045] The thermal matching screening module is used to calculate the thermal matching coefficient of each candidate phase change energy storage material in the target road application scenario based on the degree of overlap between the phase change working temperature zone and the target temperature regulation zone, the equivalent thermal parameters, and the basic parameters of the candidate asphalt mixture, and to screen out the materials to be evaluated whose thermal matching coefficient is not lower than the first threshold.

[0046] The calibration and evaluation module is used to form candidate combinations for each material to be evaluated according to a preset doping range, and based on the pre-established thermo-mechanical coupling calibration relationship, determine the temperature adjustment amplitude, equivalent modulus reduction factor and strength retention factor corresponding to each candidate combination, and eliminate candidate combinations that are lower than the corresponding lower threshold in any of the Marshall stability, compressive strength and dynamic stability indicators, or whose strength retention factor is lower than the second threshold.

[0047] The comprehensive decision-making module is used to calculate a comprehensive evaluation value for the candidate combinations that have been eliminated, based on the temperature adjustment amplitude, the strength retention coefficient, and the cost parameters, and to determine the optimal phase change energy storage material type, recommended dosage range, and construction temperature adjustment value for the target road application scenario based on the comprehensive evaluation value.

[0048] The result generation module is used to generate the mix design results of phase change energy storage asphalt mixture based on the optimal phase change energy storage material type, the recommended dosage range, and the construction temperature adjustment value.

[0049] It should be understood that the thermo-coupled phase change energy storage asphalt mixture design system of the present invention, through setting a parameter acquisition module, a temperature zone determination module, a thermal parameter correction module, a thermal matching screening module, a calibration and evaluation module, a comprehensive decision-making module, and a result generation module, can integrate the environmental temperature parameters of the target road application scenario, the parameters of candidate phase change energy storage materials, the basic parameters of candidate asphalt mixtures, and road performance constraints into a unified systematic analysis framework for collaborative processing. Specifically, through temperature zone determination and thermal parameter correction, thermal response adaptation between candidate phase change energy storage materials and target road conditions is achieved; through thermal matching screening and calibration and evaluation, joint constraints on phase change temperature regulation capability, equivalent modulus change, and strength retention capability are achieved; and through comprehensive decision-making and result generation, the output of phase change energy storage material type, recommended dosage range, and construction temperature adjustment value is achieved. Therefore, compared with existing design methods that rely on experience-based trial mixing or evaluation of a single index, this invention can ensure the phase change temperature regulation effect while taking into account the strength, stability and economy of the mixture, and improve the systematicness, accuracy and practicality of scientific material selection, reasonable blending and engineering optimization design of phase change energy storage asphalt mixture.

[0050] Furthermore, the temperature zone determination module is used to perform time-period statistics and operating condition decomposition on the ambient temperature parameters, and extract the temperature range corresponding to the peak heating period. Temperature range corresponding to the cooling period The target temperature range is determined according to the following formula. and allowable temperature difference threshold : ; ;

[0051] The thermal parameter correction module is used to adjust the phase change initiation temperature of candidate phase change energy storage materials. Phase transition termination temperature Apparent latent heat of phase transition After correcting for thermal conductivity, the phase change operating temperature range is obtained. and equivalent thermal parameters, wherein the equivalent thermal parameters include at least the corrected latent heat of phase change. Corrected thermal conductivity Equivalent heat storage per unit volume .

[0052] Furthermore, the hot matching screening module is used to select based on the interval overlap coefficient. Equivalent heat storage per unit volume and thermal conductivity deviation coefficient Calculate the thermal matching coefficient Its expression is: ;

[0053] ; ;in, , and Let be the weight coefficient, and satisfy... The integrated decision-making module is used to perform dimensionless processing on the temperature regulation amplitude, intensity retention coefficient, and cost parameters, determine the weight of each evaluation index using the entropy weight method, and calculate the comprehensive evaluation value of each candidate combination using an algorithm for ranking candidates to approximate the ideal solution. The phase change energy storage material type corresponding to the candidate combination with the highest comprehensive evaluation value is determined as the optimal phase change energy storage material type, and the material type that meets the following criteria is selected. The continuous dosage range is determined as the recommended dosage range.

[0054] Compared with the prior art, the technical solution of this application has the following beneficial technical effects:

[0055] 1. This invention obtains the ambient temperature parameters of the target road application scenario, the parameters of candidate phase change energy storage materials, and the basic parameters of candidate asphalt mixtures. It further determines the target temperature regulation zone and the allowable temperature difference threshold, and corrects the phase change initiation temperature, phase change termination temperature, latent heat of phase change, and thermal conductivity of candidate phase change energy storage materials. Then, it combines the degree of overlap between the phase change working temperature zone and the target temperature regulation temperature zone, the equivalent heat storage per unit volume, and the thermal conductivity deviation coefficient for thermal matching screening. This integrates the environmental conditions, material thermal properties, and basic parameters of the mixture into the same analysis framework, realizing the quantitative adaptation between candidate phase change energy storage materials and target road conditions. This improves the pertinence and scientific nature of phase change energy storage material selection and reduces the blindness caused by relying on experience-based trial matching and subjective material selection in the prior art.

[0056] 2. This invention forms candidate combinations of materials to be evaluated after thermal matching screening according to preset dosage ranges. Based on a pre-established thermo-mechanical coupling calibration relationship, it determines the temperature regulation amplitude, equivalent modulus reduction factor, and strength retention factor corresponding to each candidate combination. Simultaneously, it incorporates threshold constraints for Marshall stability, compressive strength, and dynamic stability for screening, thus ensuring that the evaluation of phase change temperature regulation performance and mechanical performance constraints are no longer isolated but rather achieve synergistic evaluation and linked judgment. Therefore, this invention not only improves the ability of pavement materials to regulate temperature fluctuations but also effectively avoids the problems of decreased mixture strength and deteriorated stability due to increased dosage, thereby improving the structural reliability and applicability of phase change energy storage asphalt mixtures under actual road service conditions.

[0057] 3. This invention performs dimensionless processing on the remaining candidate combinations after screening, and uses the entropy weight method and the algorithm for ranking near-ideal solutions to calculate a comprehensive evaluation value. This determines the optimal phase change energy storage material type, recommended dosage range, and construction temperature adjustment value. Simultaneously, the result generation module outputs the mix design results, allowing for a comprehensive balance of temperature regulation performance, mechanical properties, and cost parameters under a unified decision-making mechanism. Compared to existing technologies that determine material type and dosage based solely on a single performance indicator or empirical rules, this invention directly generates mix design results suitable for engineering implementation, improving the automation level of the design process, the consistency of results, and the feasibility and economic rationality in engineering applications. Attached Figure Description

[0058] Figure 1 This is a flowchart of the thermo-coupled phase change energy storage asphalt mixture design method of the present invention;

[0059] Figure 2 This is a structural block diagram of the thermo-coupled phase change energy storage asphalt mixture design system of the present invention;

[0060] Figure 3This is a flowchart illustrating the operation of the thermo-coupled phase change energy storage asphalt mixture design system of the present invention.

[0061] Figure 4 This is a schematic diagram showing the matching relationship between the target temperature regulation zone and the phase change working temperature zone of the present invention;

[0062] Figure 5 A flowchart for establishing the thermo-mechanical coupling calibration relationship of this invention;

[0063] Figure 6 This is a flowchart illustrating the comprehensive decision-making process for candidate combinations in this invention.

[0064] Figure 7 This is a schematic diagram illustrating the differentiated outputs of the present invention under different target road application scenarios;

[0065] Figure 8 This is a schematic diagram of the hardware deployment of the design system of the present invention.

[0066] Reference numerals: 100, Design system; 101, Parameter acquisition module; 102, Temperature zone determination module; 103, Thermal parameter correction module; 104, Thermal matching screening module; 105, Calibration and evaluation module; 106, Comprehensive decision-making module; 107, Result generation module; 108, Data storage unit; 109, Human-computer interaction unit; 200, Electronic equipment; 201, Processor; 202, Memory; 203, Communication interface; 204, Data storage unit; 205, Display terminal; 206, Environmental monitoring terminal; 207, Experimental testing equipment; 208, Host computer platform. Detailed Implementation

[0067] To facilitate understanding of this application, a more complete description will be provided below with reference to the accompanying drawings, which illustrate embodiments of the present application. However, the present application can be implemented in many different forms and is not limited to the embodiments described herein. Rather, these embodiments are provided so that the disclosure of this application will be thorough and complete.

[0068] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the application.

[0069] This invention addresses the problem of fragmented and uncoordinated analysis of material parameters, asphalt mixture parameters, environmental condition parameters, and road performance indicators in the design of existing phase change energy storage asphalt mixtures. It provides a thermo-coupled design method for phase change energy storage asphalt mixtures. By incorporating environmental temperature parameters, candidate phase change energy storage material parameters, candidate asphalt mixture basic parameters, temperature regulation performance, mechanical properties, and cost parameters into a unified technical framework for analysis, screening, and decision-making, this method enables scientific material selection, rational blending, and engineering optimization design of phase change energy storage asphalt mixtures.

[0070] Example 1: Thermal-mechanical coupling optimization design for the upper layer of urban arterial roads

[0071] like Figure 1 As shown, the thermo-coupled phase change energy storage asphalt mixture design method of this embodiment includes steps S1 to S6:

[0072] S1 acquires the ambient temperature parameters, candidate phase change energy storage material parameters, and candidate asphalt mixture basic parameters for the target road application scenario;

[0073] S2 determines the target temperature regulation zone and allowable temperature difference threshold based on the ambient temperature parameters, and corrects the phase change initiation temperature, phase change termination temperature, phase change latent heat and thermal conductivity of each candidate phase change energy storage material to obtain the phase change working temperature zone and equivalent thermal parameters corresponding to each candidate phase change energy storage material.

[0074] S3 calculates the thermal matching coefficient of each candidate phase change energy storage material in the target road application scenario based on the degree of overlap between the phase change working temperature zone and the target temperature regulation zone, the equivalent thermal parameters, and the basic parameters of the candidate asphalt mixture, and selects the materials to be evaluated whose thermal matching coefficient is not lower than the first threshold.

[0075] S4 forms candidate combinations for each material to be evaluated according to the preset dosage range, and determines the temperature adjustment amplitude, equivalent modulus reduction factor and strength retention factor corresponding to each candidate combination based on the pre-established thermo-mechanical coupling calibration relationship, and eliminates candidate combinations whose Marshall stability, compressive strength and dynamic stability are all below the corresponding lower limit threshold.

[0076] S5 calculates a comprehensive evaluation value for the candidate combinations that are retained after elimination, based on the temperature adjustment amplitude, the strength retention coefficient, and the cost parameters, and determines the optimal phase change energy storage material type, recommended dosage range, and construction temperature adjustment value for the target road application scenario based on the comprehensive evaluation value.

[0077] S6 generates the mix design results for phase change energy storage asphalt mixture based on the optimal phase change energy storage material type, recommended dosage range, and construction temperature adjustment value.

[0078] Further, step S1: Obtain ambient temperature parameters, candidate phase change energy storage material parameters, and candidate asphalt mixture basic parameters.

[0079] This embodiment takes the surface layer of a main road in a city in a hot summer and cold winter region as the target road application scenario, and AC-13 SBS modified asphalt mixture is selected as the candidate asphalt mixture.

[0080] First, the ambient temperature parameters for the target road application scenario were obtained. Surface temperature monitoring data from three consecutive years, road weather station data, and on-site infrared thermography data were selected to extract the annual average surface temperature, extreme high temperature, diurnal temperature range, solar radiation intensity, and wind speed. Further, the ambient temperature parameters were statistically analyzed over time and decomposed according to operating conditions, revealing that the peak heating period is from 11:00 to 15:00, corresponding to the following temperature range: ℃; the cooling period is from 18:00 to 22:00, corresponding to the temperature range of ℃. ℃.

[0081] Secondly, the parameters of the candidate phase change energy storage materials were obtained. In this embodiment, paraffin-based candidate phase change energy storage material A, fatty acid-based candidate phase change energy storage material B, and polyethylene glycol-based candidate phase change energy storage material C were selected as candidate phase change energy storage materials, and their phase change initiation temperature, phase change peak temperature, phase change termination temperature, apparent latent heat of phase change, and thermal conductivity were obtained respectively.

[0082] Next, obtain the basic parameters of the candidate asphalt mixture, including gradation parameters, asphalt-aggregate ratio, asphalt type, mixture density, void ratio, and coefficient of thermal expansion.

[0083] The target road application scenario parameters and candidate material basic data obtained in this step are shown in Table 1.

[0084] Table 1. Parameters of the target road application scenario and basic data of candidate materials:

[0085]

[0086] (Continued from the table above)

[0087] Step S2: Determine the target temperature regulation zone and allowable temperature difference threshold, and correct the parameters of the candidate phase change energy storage material;

[0088] Based on the temperature range corresponding to the peak heating period Temperature range corresponding to the cooling period Determine the target temperature range according to the following formula. and allowable temperature difference threshold :

[0089] ; ; ;

[0090] Therefore, we can calculate: ; ;

[0091] Then, the parameters of each candidate phase change energy storage material were corrected. Differential scanning calorimetry was used to obtain the phase change initiation temperature of each candidate phase change energy storage material. Phase transition peak temperature Phase transition termination temperature and apparent latent heat of phase transition Assume a standard heating / cooling rate. The actual test rate was 5℃ / min. The rate is 2℃ / min, and the correction factors are respectively , , , The rate compensation correction is performed according to the following formula:

[0092] ; ; ; ;

[0093] Meanwhile, based on the volume fraction of candidate phase change energy storage materials in candidate asphalt mixtures Thermal conductivity of the matrix Thermal conductivity of candidate phase change energy storage materials The corrected thermal conductivity is calculated according to the following formula. : ;

[0094] Then, based on the corrected latent heat of phase transition Volume fraction of candidate phase change energy storage materials and the density of the mixture Calculate the equivalent heat storage per unit volume : ;

[0095] In this embodiment, the volume fraction of candidate phase change energy storage materials is used in the initial evaluation. The value is uniformly set to 0.08. The phase change operating temperature range and equivalent thermal parameters of each candidate phase change energy storage material after correction are shown in Table 2.

[0096] Table 2 Calculation results of phase change operating temperature range and equivalent thermal parameters

[0097]

[0098] Therefore, the corrected latent heat of phase transition Corrected thermal conductivity Equivalent heat storage per unit volume As an equivalent thermal parameter, As the phase change operating temperature range.

[0099] Step S3: Calculate the thermal matching coefficient and screen the materials to be evaluated.

[0100] Based on the overlap between the phase change operating temperature zone and the target temperature regulation zone, the equivalent thermal parameters, and the basic parameters of the candidate asphalt mixtures, the thermal matching coefficient of each candidate phase change energy storage material is calculated. .

[0101] In this embodiment, the reference thermal conductivity is... Take 1.00 W·m ·K Maximum equivalent heat storage per unit volume Take 36.05 MJ·m The weighting coefficients are taken as follows: , , First, calculate the interval overlap coefficient using the following formula. :

[0102] Then calculate the thermal conductivity deviation coefficient according to the following formula. : ;

[0103] Finally, the thermal matching coefficient is calculated according to the following formula. : The calculation results are shown in Table 3.

[0104] Table 3 Calculation results of thermal matching coefficient

[0105]

[0106] Considering that the peak heat damage on the road surface is mainly concentrated in the section above 30℃, this embodiment performs weighted processing on the peak heating period and obtains the corrected heat matching coefficients as follows: paraffin-based candidate phase change energy storage material A is 0.86, fatty acid-based candidate phase change energy storage material B is 0.79, and polyethylene glycol-based candidate phase change energy storage material C is 0.61.

[0107] First threshold If the value is set to 0.75, then paraffin-based candidate phase change energy storage material A and fatty acid-based candidate phase change energy storage material B are identified as materials to be evaluated, while polyethylene glycol-based candidate phase change energy storage material C is eliminated.

[0108] Step S4: Form candidate combinations and evaluate and screen them based on thermo-mechanical coupling calibration relationship.

[0109] Candidate combinations of materials to be evaluated are formed according to preset dosing ranges. In this embodiment, the dosing levels are 5%, 8%, 10%, and 12%, thus forming a total of 8 candidate combinations.

[0110] To determine the temperature regulation amplitude corresponding to each candidate combination Equivalent modulus reduction factor and strength retention coefficient A thermo-mechanical coupling calibration relationship was established beforehand. Specifically, samples were prepared for different types of candidate phase change energy storage materials, different dosage levels, and different combinations of basic parameters of candidate asphalt mixtures, and temperature rise and fall tests, Marshall stability tests, compressive strength tests, and rutting tests were conducted respectively. ;

[0111] As input variables, , and As the output variable, establish a response surface regression equation:

[0112] ;

[0113] in, , , .

[0114] In this embodiment, model fitting was completed using 48 sets of experimental data, and the leave-one-out method was used for verification. The verification results show that the determination coefficients of the temperature regulation amplitude model, the equivalent modulus reduction coefficient model, and the strength retention coefficient model are [determined / valid]. The values ​​are 0.941, 0.918, and 0.952 respectively, which meet the requirements of engineering applications.

[0115] Among them, the strength retention coefficient Calculate according to the following formula: ;

[0116] In this embodiment, the following is taken , , .

[0117] Equivalent modulus reduction factor The modulus shift factor is determined as follows: First, based on the time-temperature equivalence principle, the modulus shift factor is calculated using the Williams-Landel-Ferry equation. : Then calculate the reference temperature according to the following formula. The equivalent modulus reduction factor is as follows: ;in, , , .

[0118] Furthermore, candidate combinations are screened out based on Marshall stability, compressive strength, dynamic stability, and strength retention coefficient. A lower limit threshold for Marshall stability is set. The lower limit threshold of compressive strength is 9.0 kN. The lower limit threshold for dynamic stability is 3.5 MPa. 2800 times·mm Lower limit threshold of strength retention coefficient The value is 0.85. The calibration and evaluation results of the candidate combinations are shown in Table 4.

[0119] Table 4. Candidate Combination Calibration and Evaluation Results

[0120]

[0121] As shown in Table 4, A-12% and B-12% were eliminated because at least one mechanical performance index was below the lower threshold or the strength retention coefficient was below the second threshold. The remaining 6 candidate combinations entered the comprehensive decision-making stage.

[0122] Step S5: Calculate the comprehensive evaluation value and determine the optimal phase change energy storage material type, recommended dosage range, and construction temperature adjustment value.

[0123] For the candidate combinations that are retained after elimination, a comprehensive evaluation value is calculated based on the temperature adjustment amplitude, strength retention coefficient, and cost parameters.

[0124] First, the temperature regulation amplitude, intensity retention coefficient, and cost parameters are dimensionless. Among them, the benefit-related indicators are calculated using the following formula: Cost-related indicators are calculated using the following formula: ;

[0125] Secondly, the entropy weight method is used to determine the weights of temperature regulation indicators, mechanical performance indicators, and cost indicators: ;

[0126] ; In this embodiment, the weight of the temperature regulation index is calculated to be 0.39, the weight of the mechanical performance index is 0.36, and the weight of the cost index is 0.25.

[0127] Then, the comprehensive evaluation value of each candidate combination is calculated using a sorting algorithm that approximates the ideal solution. : ; ; ;

[0128] The comprehensive evaluation results and mix design results are shown in Table 5.

[0129] Table 5. Comprehensive evaluation results and mix design results

[0130]

[0131] Therefore, the candidate combination with the highest comprehensive evaluation value is A-10%, and the corresponding optimal phase change energy storage material type is paraffin-based candidate phase change energy storage material A.

[0132] In this embodiment, a preset deviation coefficient is used. Take 0.95, the maximum comprehensive evaluation value If it is 0.90, then it satisfies the condition. ;

[0133] The continuous dosage range is A-8% to A-10%, therefore 8% to 10% is determined as the recommended dosage range.

[0134] At the same time, according to the mixing temperature corresponding to the optimal candidate combination Reference mixing temperature Compaction temperature and reference compaction temperature Calculate the construction temperature adjustment value according to the following formula. : ;

[0135] In this embodiment, the optimal mixing temperature corresponds to the A-10% combination. The reference mixing temperature is 170℃. The optimal compaction temperature is 164℃. The reference compaction temperature is 158℃. The temperature is 152℃, therefore: ;

[0136] Step S6: Generate mix design results

[0137] Based on the optimal phase change energy storage material type, recommended dosage range, and construction temperature adjustment value, the mix design results of phase change energy storage asphalt mixture are generated.

[0138] In this embodiment, the final mix design results are as follows: Candidate asphalt mixture type: AC-13 SBS modified asphalt mixture; Optimal phase change energy storage material type: Paraffin-based candidate phase change energy storage material A; Recommended dosage range: 8%~10%; Preferred dosage: 10%; Construction temperature adjustment value: +6℃; Recommended mixing temperature: 170℃; Recommended compaction temperature: 158℃.

[0139] Samples were prepared using the above mix design results and verification tests were conducted. The results showed that, compared with the benchmark mix without phase change energy storage material, the peak temperature during high-temperature periods on the road surface decreased by approximately 5.8℃, while the Marshall stability, compressive strength, and dynamic stability remained above the design thresholds. This demonstrates that the present invention can ensure the phase change temperature regulation effect while also taking into account the strength, stability, and economy of the mix.

[0140] Example 2: Establishment of Thermo-Mechanical Coupling Calibration Relationship

[0141] To further illustrate the establishment of the thermo-mechanical coupling calibration relationship, this embodiment designs an experiment for the combination of candidate phase change energy storage material types, dosage levels, and basic parameters of candidate asphalt mixtures, and establishes the response relationship between temperature regulation amplitude, equivalent modulus reduction coefficient, and strength retention coefficient and each input parameter, so as to form the thermo-mechanical coupling calibration relationship required for rapid evaluation of subsequent candidate combinations.

[0142] 1. Experimental Objective: The objective of this embodiment is to establish a thermo-mechanical coupling calibration relationship suitable for road engineering applications, so that the parameters of candidate phase change energy storage materials, the basic parameters of candidate asphalt mixtures, and the temperature conditions can be expressed in a unified model, thereby providing a data foundation for subsequent candidate combination screening, mechanical performance constraint judgment, and comprehensive decision-making.

[0143] 2. Test subjects and factor level settings; Candidate phase change energy storage materials selected: paraffin-based candidate phase change energy storage material A and fatty acid-based candidate phase change energy storage material B. These two types of materials were chosen because they were both identified as materials to be evaluated after thermal matching screening in Example 1, necessitating further establishment of a thermo-mechanical coupling calibration relationship.

[0144] Candidate phase change energy storage material doping The levels are set to 5%, 8%, 10%, and 12%.

[0145] The main continuous variables in the basic parameters of the candidate asphalt mixture are set as follows: void ratio : 3.5%, 4.2%, 5.0%; oil-stone ratio : 4.8%, 5.2%, 5.6%; temperature variation range 20℃, 30℃, 40℃; coefficient of thermal expansion : , , .

[0146] To balance the number of experimental samples and the spatial coverage of parameters, this embodiment adopts the Box-Behnken experimental design method to combine the above factors and form a total of 48 calibration samples.

[0147] 3. Sample preparation process

[0148] 1) Prepare candidate asphalt mixture aggregate components according to the set gradation and control the aggregate moisture content to be below 0.3%.

[0149] 2) Add SBS modified asphalt according to the preset asphalt-aggregate ratio and mix to form a benchmark candidate asphalt mixture.

[0150] 3) Add the candidate phase change energy storage material into the benchmark candidate asphalt mixture according to the set dosage, and continue mixing for 90s to 120s at the recommended mixing temperature to ensure that the candidate phase change energy storage material is evenly distributed in the mixture.

[0151] 4) Prepare corresponding specimens according to the Marshall specimen molding standard and the rut plate specimen molding standard respectively.

[0152] 5) Allow the molded sample to stand at room temperature for 24 hours to eliminate the influence of initial stress after molding.

[0153] During the sample preparation process, at least three samples of each group are prepared in parallel to reduce random errors.

[0154] 4. Test Items and Test Methods: In this embodiment, the following tests are conducted on each set of calibration samples:

[0155] 1) Temperature cycling test, used to determine the temperature regulation amplitude of candidate combinations. The specific method is as follows: The sample is placed in an environmental simulation chamber and subjected to a temperature increase and decrease cycle of 20℃→60℃→20℃, with both the heating and cooling rates controlled at 2℃ / min. An embedded temperature sensor is used to continuously record the internal temperature change curve of the sample. The peak temperature difference between the sample doped with the candidate phase change energy storage material and the reference sample without the candidate phase change energy storage material under the same operating conditions is defined as the temperature regulation amplitude. .

[0156] 2) Marshall stability test, used to obtain the Marshall stability of candidate combinations. and the Marshall stability of the reference sample. contrast.

[0157] 3) Uniaxial compressive strength test, used to obtain the compressive strength of candidate combinations. and the compressive strength of the reference specimen contrast.

[0158] 4) 60℃ rutting test; used to obtain the dynamic stability of candidate combinations. and the dynamic stability of the reference specimen. contrast.

[0159] 5) Dynamic modulus test; dynamic modulus was tested at 10℃, 20℃, 40℃ and 60℃. And combined with the benchmark dynamic modulus Calculate the equivalent modulus reduction factor .

[0160] 5. Output parameter calculation; 1) Temperature adjustment amplitude It is determined according to the peak temperature difference in the heating and cooling cycle test.

[0161] 2) Strength retention coefficient Calculate according to the following formula: In this embodiment, the following is taken: , , .

[0162] 3) Equivalent modulus reduction factor First, calculate the modulus shift factor according to the Williams-Landel-Ferry equation. : Then calculate the equivalent modulus reduction factor according to the following formula: Among them, reference temperature Take 20℃, empirical constant Take 8.86, Take 101.6.

[0163] 6. Establish thermo-mechanical coupling calibration relationship; classify candidate phase change energy storage materials by type and dosage. porosity oilstone ratio Temperature change range and coefficient of thermal expansion As input variables, construct an input variable vector:

[0164] ;

[0165] Adjust the amplitude by temperature respectively Equivalent modulus reduction factor and strength retention coefficient As the dependent variable, establish a response surface regression equation: ;in, , , .

[0166] After fitting is completed, the regression coefficients, applicable parameter ranges and error control thresholds of each model are stored in the data storage unit to form a thermal-mechanical coupling calibration relationship database for subsequent calibration and evaluation modules to call.

[0167] 7. Calibration Results and Model Validation

[0168] After fitting using 48 sets of samples, the coefficients of determination for the temperature regulation amplitude model, the equivalent modulus reduction coefficient model, and the strength retention coefficient model were determined. The values ​​are 0.941, 0.918, and 0.952, respectively.

[0169] To verify the accuracy of the thermo-mechanical coupling calibration relationship, six additional validation samples not involved in the fitting were selected for comparison between predicted and measured values. The validation results are as follows: the average relative error of the temperature regulation amplitude is 4.6%; the average relative error of the equivalent modulus reduction factor is 5.3%; and the average relative error of the strength retention factor is 3.9%.

[0170] Further analysis revealed that the dosage and temperature change range Temperature adjustment range The effect is most significant; dosage With porosity Interaction terms for intensity preservation coefficient The impact is quite significant; the temperature change range With coefficient of thermal expansion The coupling effect on the equivalent modulus reduction factor The changes have a strong impact.

[0171] This demonstrates that the thermo-mechanical coupling calibration relationship established using the response surface regression model can effectively reflect the comprehensive influence of candidate phase change energy storage material type, dosage, and candidate asphalt mixture basic parameters on temperature regulation performance and mechanical properties, and can be used for rapid evaluation and screening of subsequent candidate combinations.

[0172] The thermo-mechanical coupling calibration relationship established in this embodiment can transform the originally dispersed parameters of candidate phase change energy storage materials, basic parameters of candidate asphalt mixtures, and temperature conditions into a unified quantitative mapping relationship, thereby significantly improving the evaluation efficiency of candidate combinations, avoiding the time consumption and increased testing costs caused by large-scale trial mixing one by one, and providing reliable support for rapid engineering screening.

[0173] Example 3: Differentiated Optimization Design Examples for Different Target Road Application Scenarios

[0174] To further illustrate that the present invention can be designed differently for different target road application scenarios, this embodiment takes the surface layer of expressways in hot summer areas as the object, and explains how the present invention can automatically complete the screening of candidate phase change energy storage materials, evaluation of candidate combinations, and output of mix design results under the condition of changing ambient temperature parameters.

[0175] 1. Target road application scenario determination: This embodiment selects the surface layer of expressways in hot summer regions as the target road application scenario. Compared with Embodiment 1, this scenario has stronger peak heating and a longer duration of high temperature, which places higher demands on the phase change operating temperature range and temperature regulation capability of candidate phase change energy storage materials.

[0176] The following environmental temperature parameters were obtained through continuous on-site monitoring: annual average surface temperature: 23.2℃; extreme high temperature: 68.0℃; diurnal temperature range: 19.5℃; peak solar radiation intensity: 918W / m²; average wind speed: 2.1m / s.

[0177] After statistical analysis and operational condition decomposition of the ambient temperature parameters over time, the peak heating period was found to be from 11:30 to 15:30, corresponding to the temperature range of... ℃; the cooling period is from 19:00 to 23:00, corresponding to the temperature range of ℃. ℃; therefore, the target temperature range is determined as follows: ;

[0178] 2. Thermal matching screening of candidate phase change energy storage materials: Under the same candidate phase change energy storage material system as in Example 1, the thermal matching coefficient of each candidate phase change energy storage material was recalculated. Since the target temperature regulation range shifted upwards overall, and the weight of the high-temperature range increased, the thermal matching degree of candidate phase change energy storage materials A and B, which performed better in the mid-temperature range, decreased; while the compatibility of polyethylene glycol-based candidate phase change energy storage material C, whose phase change operating temperature range is more towards the high-temperature range, improved.

[0179] After calculation and weighted correction for high-temperature operating conditions, the thermal matching coefficients of each candidate phase change energy storage material are as follows: Paraffin-based candidate phase change energy storage material A: 0.63; Fatty acid-based candidate phase change energy storage material B: 0.58; Polyethylene glycol-based candidate phase change energy storage material C: 0.84.

[0180] First threshold If the value is set to 0.75, then polyethylene glycol candidate phase change energy storage material C is identified as the material to be evaluated, while paraffin-based candidate phase change energy storage material A and fatty acid-based candidate phase change energy storage material B are eliminated.

[0181] 3. Candidate Combination Formation and Calibration Evaluation

[0182] Candidate combinations of polyethylene glycol-based phase change energy storage materials C were formed at three doping levels of 6%, 8%, and 10%, denoted as C-6%, C-8%, and C-10%.

[0183] Subsequently, the thermo-mechanical coupling calibration relationship established in Example 2 was invoked to quickly evaluate the above candidate combinations, and the results of temperature regulation amplitude, equivalent modulus reduction factor, strength retention factor and main mechanical properties were obtained.

[0184] The evaluation results are as follows:

[0185] C-6%: Temperature regulation range is 4.9℃, equivalent modulus reduction factor is 0.91, strength retention factor is 0.93, Marshall stability is 10.4kN, compressive strength is 4.12MPa, and dynamic stability is 3360 cycles / mm. ;

[0186] C-8%: Temperature regulation range is 6.1℃, equivalent modulus reduction factor is 0.86, strength retention factor is 0.88, Marshall stability is 9.7kN, compressive strength is 3.89MPa, and dynamic stability is 2985 cycles / mm. ;

[0187] C-10%: Temperature regulation range is 6.8℃, equivalent modulus reduction factor is 0.79, strength retention factor is 0.82, Marshall stability is 9.1kN, compressive strength is 3.61MPa, and dynamic stability is 2715 cycles / mm. .

[0188] Assume the lower threshold of Marshall stability is 9.0 kN, the lower threshold of compressive strength is 3.5 MPa, and the lower threshold of dynamic stability is 2800 cycles / mm. The lower limit threshold for the strength retention coefficient is 0.85. Therefore:

[0189] C-6% meets all threshold requirements and is therefore retained.

[0190] C-8% meets all threshold requirements and is therefore retained.

[0191] Although C-10% has the highest temperature regulation amplitude, its dynamic stability is lower than the corresponding lower threshold, and its strength retention coefficient is lower than the second threshold, so it is excluded.

[0192] 4. Comprehensive decision-making and determination of recommended dosage range; for the retained C-6% and C-8% candidate combinations, a comprehensive evaluation is conducted based on temperature adjustment amplitude, strength retention coefficient and cost parameters.

[0193] In this embodiment, the dimensionless method, entropy weight method, and sorting algorithm for approximating the ideal solution from Embodiment 1 are used. The calculation yields:

[0194] The overall evaluation value for C-6% is 0.82; the overall evaluation value for C-8% is 0.89.

[0195] Therefore, the candidate combination with the highest comprehensive evaluation value is C-8%, and the corresponding optimal phase change energy storage material type is polyethylene glycol-based candidate phase change energy storage material C.

[0196] Preset deviation coefficient Take 0.92, the maximum comprehensive evaluation value If the value is 0.89, then the following condition is met: ;

[0197] The continuous dosage range is 6% to 8%, therefore 6% to 8% is determined as the recommended dosage range.

[0198] 5. Determination of construction temperature adjustment value; based on the optimal candidate combination C-8% of process parameters, the optimal mixing temperature is determined. The reference mixing temperature is 176℃. The optimal compaction temperature is 168℃. The reference compaction temperature is 163℃. The temperature is 155℃.

[0199] Calculate the construction temperature adjustment value using the following formula: Therefore, we can conclude that: ;

[0200] Therefore, the mix design results output in this embodiment are as follows: Candidate asphalt mixture type: modified asphalt mixture for expressway surface layer; Optimal phase change energy storage material type: polyethylene glycol candidate phase change energy storage material C; Recommended dosage range: 6%~8%; Preferred dosage: 8%; Construction temperature adjustment value: +8℃; Recommended mixing temperature: 176℃; Recommended compaction temperature: 163℃.

[0201] 6. Scenario Comparison Analysis: Comparing this embodiment with Embodiment 1 shows that:

[0202] In the upper layer scenario of urban main roads, the target temperature regulation range is biased towards the medium temperature range. Paraffin-based candidate phase change energy storage material A has a higher thermal matching coefficient, and the final preferred doping range is 8% to 10%.

[0203] In the scenario of the surface layer of expressways in hot summer regions, the target temperature range shifts upward as a whole, and the thermal matching coefficient of polyethylene glycol candidate phase change energy storage material C is higher. The final preferred doping range is adjusted to 6% to 8%.

[0204] This indicates that the present invention does not provide a fixed single formula, but can automatically adjust the type of candidate phase change energy storage material, update the recommended dosage range, and output the construction temperature adjustment value as the target road application scenario changes. In this way, the ambient temperature parameters, candidate phase change energy storage material parameters, candidate asphalt mixture basic parameters, and road performance indicators are uniformly incorporated into the same technical framework for collaborative solution.

[0205] Example 4: This invention provides a thermo-coupled phase change energy storage asphalt mixture design system, applicable to road engineering material design, pavement functional material selection, and mix proportion auxiliary decision-making scenarios. This system integrates the environmental temperature parameters of the target road application scenario, candidate phase change energy storage material parameters, candidate asphalt mixture basic parameters, road performance indicators, and cost parameters into a unified technical framework for collaborative processing. This solves the problems of existing technologies that rely on experience-based trial mixing, single-index evaluation, and difficulty in simultaneously considering temperature regulation effect, strength, stability, and economy.

[0206] like Figure 2 As shown, the thermo-coupled phase change energy storage asphalt mixture design system 100 of this embodiment can be deployed in an industrial control computer, server, laboratory workstation, or engineering terminal equipment with data processing capabilities. The design system 100 includes at least a parameter acquisition module 101, a temperature zone determination module 102, a thermal parameter correction module 103, a thermal matching screening module 104, a calibration and evaluation module 105, a comprehensive decision-making module 106, and a result generation module 107; in a preferred embodiment, it also includes a data storage unit 108 and a human-computer interaction unit 109.

[0207] The parameter acquisition module 101 is used to acquire environmental temperature parameters, candidate phase change energy storage material parameters, and candidate asphalt mixture basic parameters for the target road application scenario. The environmental temperature parameters include at least the annual average surface temperature, extreme high temperature, diurnal temperature range, solar radiation intensity, and wind speed. The candidate phase change energy storage material parameters include at least the phase change initiation temperature, phase change termination temperature, apparent latent heat of phase change, and thermal conductivity. The candidate asphalt mixture basic parameters include at least gradation parameters, asphalt-aggregate ratio, asphalt type, mixture density, porosity, and coefficient of thermal expansion. In this embodiment, the data acquired by the parameter acquisition module 101 corresponds to Table 1 in some embodiments of the method.

[0208] Temperature zone determination module 102 is connected to parameter acquisition module 101 and is used to perform time period statistics and operating condition decomposition on ambient temperature parameters to extract the temperature zone corresponding to the peak heating period. Temperature range corresponding to the cooling period And calculate the target temperature range. and allowable temperature difference threshold The temperature zone determination module 102 preferably performs calculations according to the following relationship:

[0209] ; ; ;

[0210] The thermal parameter correction module 103 is connected to the temperature range determination module 102 and is used to correct the phase change initiation temperature, phase change termination temperature, apparent latent heat of phase change, and thermal conductivity in the parameters of candidate phase change energy storage materials, thereby obtaining the phase change operating temperature range and equivalent thermal parameters corresponding to each candidate phase change energy storage material. The equivalent thermal parameters include at least the corrected latent heat of phase change. Corrected thermal conductivity Equivalent heat storage per unit volume In this embodiment, the data output by the thermal parameter correction module 103 corresponds to Table 2 in the method embodiment.

[0211] The thermal matching screening module 104 is connected to the thermal parameter correction module 103. It is used to calculate the thermal matching coefficient of each candidate phase change energy storage material in the target road application scenario based on the overlap between the phase change working temperature zone and the target temperature regulation zone, equivalent thermal parameters, and basic parameters of the candidate asphalt mixture. It then screens out materials with thermal matching coefficients not lower than a first threshold. Preferably, the thermal matching screening module 104 calculates the thermal matching coefficient based on the interval overlap coefficient. Equivalent heat storage per unit volume and thermal conductivity deviation coefficient Calculate the thermal matching coefficient The calculation results correspond to Table 3 in some embodiments of the method.

[0212] The calibration and evaluation module 105 is connected to the thermal matching screening module 104. It is used to form candidate combinations for each material to be evaluated according to a preset dosing range, and based on a pre-established thermo-mechanical coupling calibration relationship, determine the temperature adjustment amplitude, equivalent modulus reduction factor, and strength retention factor corresponding to each candidate combination. Simultaneously, it eliminates candidate combinations where any one of the Marshall stability, compressive strength, or dynamic stability indicators is below the corresponding lower threshold, or where the strength retention factor is below the second threshold. In this embodiment, the data output by the calibration and evaluation module 105 corresponds to Table 4 in some embodiments of the method.

[0213] The comprehensive decision-making module 106 is connected to the calibration and evaluation module 105. It calculates a comprehensive evaluation value for the remaining candidate combinations after elimination, based on temperature adjustment amplitude, strength retention coefficient, and cost parameters. Based on the comprehensive evaluation value, it determines the optimal phase change energy storage material type, recommended dosage range, and construction temperature adjustment value. In this embodiment, the data output by the comprehensive decision-making module 106 corresponds to Table 5 in some embodiments of the method.

[0214] The result generation module 107 is connected to the comprehensive decision-making module 106. It is used to generate the mix design results of phase change energy storage asphalt mixture based on the optimal phase change energy storage material type, recommended dosage range and construction temperature adjustment value, and output them to the human-computer interaction unit 109 or export them as a design report.

[0215] The data storage unit 108 stores a database of ambient temperature parameters, a database of candidate phase change energy storage materials parameters, a database of candidate asphalt mixture basic parameters, thermo-mechanical coupling calibration parameters, evaluation thresholds, and historical mix design results. The human-computer interaction unit 109 receives user input regarding road grade, climate zone, structural layer, and candidate material range, and displays or exports the mix design results.

[0216] like Figure 3 As shown, the specific system operation flow is as follows: This embodiment illustrates the operation process of the design system 100 in a specific road engineering scenario.

[0217] First, the parameter acquisition module 101 acquires the ambient temperature parameters, candidate phase change energy storage material parameters, and candidate asphalt mixture basic parameters of the target road application scenario; the acquired data is consistent with Table 1 in some embodiments of the method.

[0218] Subsequently, the temperature zone determination module 102 performs time period statistics and operating condition decomposition based on the ambient temperature parameters to determine the target temperature regulation zone and the allowable temperature difference threshold. Then, the thermal parameter correction module 103 corrects the phase change initiation temperature, phase change termination temperature, apparent latent heat of phase change, and thermal conductivity of each candidate phase change energy storage material to obtain the phase change working temperature zone and equivalent thermal parameters. The correction results are consistent with Table 2 in the method partial embodiments.

[0219] Subsequently, the thermal matching screening module 104 calculates the thermal matching coefficient based on the degree of overlap between the phase change working temperature zone and the target temperature regulation zone, the equivalent thermal parameters, and the basic parameters of the candidate asphalt mixture, and screens out the materials to be evaluated whose thermal matching coefficient is not lower than the first threshold. The screening results are consistent with Table 3 in the method partial embodiments.

[0220] After obtaining the material to be evaluated, the calibration evaluation module 105 forms candidate combinations according to the preset doping range, and calculates the temperature adjustment amplitude, equivalent modulus reduction factor and strength retention factor corresponding to each candidate combination based on the thermo-mechanical coupling calibration relationship; at the same time, candidate combinations that do not meet the requirements are eliminated according to the Marshall stability, compressive strength, dynamic stability and strength retention factor threshold. The evaluation results are consistent with Table 4 in some embodiments of the method.

[0221] After the candidate combinations are screened, the comprehensive decision-making module 106 performs a comprehensive evaluation on the remaining candidate combinations. Preferably, the comprehensive decision-making module 106 performs dimensionless processing on the temperature regulation amplitude, intensity retention coefficient, and cost parameters, uses the entropy weight method to determine the weight of each evaluation index, and uses an algorithm to approximate the ideal solution to calculate the comprehensive evaluation value of each candidate combination. The overall evaluation results are consistent with Table 5 in the method implementation section.

[0222] Finally, the result generation module 107 generates the mix design results of phase change energy storage asphalt mixture based on the optimal phase change energy storage material type, recommended dosage range, and construction temperature adjustment value. The results include the mixture type, optimal phase change energy storage material type, recommended dosage range, preferred dosage, recommended mixing temperature, recommended compaction temperature, and construction temperature adjustment value.

[0223] Through the above process, the design system 100 can integrate environmental temperature parameters, candidate phase change energy storage material parameters, candidate asphalt mixture basic parameters, and road performance indicators into the same processing link, complete thermal matching screening, mechanical constraint evaluation, and comprehensive decision output, thereby realizing the scientific selection, rational blending, and engineering optimization design of phase change energy storage asphalt mixtures.

[0224] In a preferred embodiment, the integrated decision module 106 includes a dimensionless unit, a weight calculation unit, an ideal solution distance calculation unit, and an interval determination unit.

[0225] The dimensionless unit is used to perform dimensionless processing on the temperature regulation amplitude, strength retention coefficient, and cost parameters; the weight calculation unit is used to determine the weights of each evaluation index using the entropy weight method; and the ideal solution distance calculation unit is used to calculate the comprehensive evaluation value of each candidate combination using an algorithm for ranking candidates by approximating the ideal solution. The interval determination unit is used to determine the phase change energy storage material type corresponding to the candidate combination with the largest comprehensive evaluation value as the optimal phase change energy storage material type, and to determine the type that meets the following criteria. The continuous dosage range is determined as the recommended dosage range.

[0226] The integrated decision-making module 106 with the above structure can establish a unified evaluation mechanism among temperature regulation performance, mechanical properties and cost parameters, avoiding design deviations caused by determining material type and dosage based on only a single indicator.

[0227] In a preferred embodiment, the design system 100 is deployed in an electronic device 200, which includes a processor 201, a memory 202, and a communication interface 203. The processor 201 is used to execute program instructions stored in the memory 202 to realize the functions of the parameter acquisition module 101, the temperature zone determination module 102, the thermal parameter correction module 103, the thermal matching screening module 104, the calibration and evaluation module 105, the comprehensive decision-making module 106, and the result generation module 107. The communication interface 203 is used to interact with the environmental monitoring terminal 206, the test equipment 207, and the host computer platform 208.

[0228] Among them, the parameter acquisition module 101 and the temperature zone determination module 102 can be deployed in the data preprocessing layer; the thermal parameter correction module 103 and the thermal matching screening module 104 can be deployed in the analysis and calculation layer; the calibration and evaluation module 105 and the comprehensive decision-making module 106 can be deployed in the decision-making layer; and the result generation module 107 and the human-computer interaction unit 109 can be deployed in the application output layer.

[0229] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A design method for thermo-coupled phase change energy storage asphalt mixtures, characterized in that, The specific steps include the following: S1 acquires the ambient temperature parameters, candidate phase change energy storage material parameters, and candidate asphalt mixture basic parameters for the target road application scenario; S2 determines the target temperature regulation zone and allowable temperature difference threshold based on the ambient temperature parameters, and corrects the phase change initiation temperature, phase change termination temperature, phase change latent heat and thermal conductivity of each candidate phase change energy storage material to obtain the phase change working temperature zone and equivalent thermal parameters corresponding to each candidate phase change energy storage material. S3 calculates the thermal matching coefficient of each candidate phase change energy storage material in the target road application scenario based on the degree of overlap between the phase change working temperature zone and the target temperature regulation zone, the equivalent thermal parameters, and the basic parameters of the candidate asphalt mixture, and selects the materials to be evaluated whose thermal matching coefficient is not lower than the first threshold. S4 forms candidate combinations for each material to be evaluated according to the preset dosage range, and determines the temperature adjustment amplitude, equivalent modulus reduction factor and strength retention factor corresponding to each candidate combination based on the pre-established thermo-mechanical coupling calibration relationship, and eliminates candidate combinations whose Marshall stability, compressive strength and dynamic stability are all below the corresponding lower limit threshold. S5 calculates a comprehensive evaluation value for the candidate combinations that are retained after elimination, based on the temperature adjustment amplitude, the strength retention coefficient, and the cost parameters, and determines the optimal phase change energy storage material type, recommended dosage range, and construction temperature adjustment value for the target road application scenario based on the comprehensive evaluation value. S6 generates the mix design results for phase change energy storage asphalt mixture based on the optimal phase change energy storage material type, recommended dosage range, and construction temperature adjustment value.

2. The design method for a thermo-coupled phase change energy storage asphalt mixture according to claim 1, characterized in that, The environmental temperature parameters include at least the annual average surface temperature, extreme high temperature, diurnal temperature range, solar radiation intensity, and wind speed. The basic parameters of the candidate asphalt mixture include at least the gradation parameters, asphalt-aggregate ratio, asphalt type, mixture density, porosity, and coefficient of thermal expansion. Step S1 further includes: performing time-period statistics and operating condition decomposition on the ambient temperature parameters, and extracting the temperature range corresponding to the peak heating period. Temperature range corresponding to the cooling period The target temperature range is determined according to the following formula. and allowable temperature difference threshold : ; ; ; Indicates the lower limit of the target temperature range. This indicates the upper limit of the target temperature range.

3. The design method for a thermo-coupled phase change energy storage asphalt mixture according to claim 1, characterized in that, Step S2 includes: S21, performing differential scanning calorimetry on each candidate phase change energy storage material to obtain the phase change initiation temperature. Phase transition peak temperature Phase transition termination temperature and apparent latent heat of phase transition ; S22, based on standard heating and cooling rates For actual test rate The phase transition initiation temperature, phase transition peak temperature, phase transition termination temperature, and apparent latent heat of phase transition obtained below are corrected for rate compensation using the following formula: ; ; ; ; , , and These represent the corrected phase transition initiation temperature, corrected phase transition peak temperature, corrected phase transition termination temperature, and corrected phase transition latent heat, respectively. , , and These are the correction factors determined through calibration tests; S23, based on the volume fraction of candidate phase change energy storage materials in candidate asphalt mixtures Thermal conductivity of the matrix Thermal conductivity of candidate phase change energy storage materials The thermal conductivity is corrected using an equivalent medium algorithm to obtain the corrected thermal conductivity. Its expression is: ; S24, based on the corrected latent heat of phase transition Volume fraction of candidate phase change energy storage materials and the density of the mixture Calculate the equivalent heat storage per unit volume : ; and the corrected latent heat of phase transition The corrected thermal conductivity and the equivalent heat storage per unit volume As the equivalent thermal parameter, This serves as the phase change operating temperature range.

4. The design method for thermo-coupled phase change energy storage asphalt mixture according to claim 1, characterized in that, In step S3, the thermal matching coefficient Based on the interval overlap coefficient Equivalent heat storage per unit volume and thermal conductivity deviation coefficient Determined, among which: ; ; ; Indicates the reference thermal conductivity. This represents the maximum value of the equivalent heat storage per unit volume in the candidate phase change energy storage material. , and Let be the weighting coefficients, and satisfy: ; The thermal matching coefficient Not lower than the first threshold The candidate phase change energy storage materials were identified as materials to be evaluated.

5. The design method for a thermo-coupled phase change energy storage asphalt mixture according to claim 1, characterized in that, The thermo-mechanical coupling calibration relationship is established through a response surface regression model. Specifically, samples are prepared for different types of phase change energy storage materials, different dosage levels, and different combinations of basic parameters of candidate asphalt mixtures. Temperature rise and fall tests, Marshall stability tests, compressive strength tests, and rutting tests are conducted to obtain the temperature regulation amplitude. Equivalent modulus reduction factor and strength retention coefficient ; With input variable vector ; As the independent variable, among which, This indicates the content of phase change energy storage materials. Indicates porosity. Indicates the oil-stone ratio, Indicates the range of temperature change. Indicates the coefficient of thermal expansion; by , and As the dependent variable, the following response surface regression equations are established respectively: ； , , , , , and These are the regression coefficients obtained through calibration experiments.

6. The design method for a thermo-coupled phase change energy storage asphalt mixture according to claim 1, characterized in that, In step S4: the strength retention coefficient The formula is calculated by weighting the Marshall stability retention rate, compressive strength retention rate, and dynamic stability retention rate corresponding to the candidate combinations. ; , and These represent the Marshall stability, compressive strength, and dynamic stability of the candidate combinations, respectively. , and These represent the baseline Marshall stability, baseline compressive strength, and baseline dynamic stability without the addition of phase change energy storage materials, respectively. , and Let be the weighting coefficients, and satisfy: ; The equivalent modulus reduction factor The modulus shift factor is determined using the time-temperature equivalence principle. Calculated according to the Williams-Landel-Ferry equation: ; Calculate the reference temperature according to the following formula. The equivalent modulus reduction factor is as follows: ; Indicates temperature The dynamic modulus under the following conditions Indicates the baseline dynamic modulus. and These are empirical constants; Candidate combinations that meet any of the following conditions will be eliminated: or or or , , , and These represent the corresponding lower threshold values.

7. The design method for a thermo-coupled phase change energy storage asphalt mixture according to claim 1, characterized in that, Step S5 includes: The temperature regulation amplitude, the strength retention coefficient, and the cost parameter are dimensionless, wherein the benefit-related indicators are calculated according to the following formula: Cost-related indicators are calculated using the following formula: ; Indicates the first The candidate combination at the in The original values ​​under each evaluation indicator This represents the corresponding dimensionless value; The entropy weight method is used to determine the weights of temperature regulation indicators, mechanical performance indicators, and cost indicators. The calculation formula is as follows: ； ； ； Indicates the first Under the evaluation index, the first The proportion of each candidate combination Indicates the first Information entropy of each evaluation indicator Indicates the first The weight of each evaluation indicator; The comprehensive evaluation value of each candidate combination is calculated using an algorithm that approximates the ideal solution. Its expression is: ； ； ； Indicates the first The distance from each candidate combination to the ideal solution. Indicates the first The distance from each candidate combination to the negative ideal solution and They represent the first The positive and negative ideal values ​​of each evaluation indicator; The phase change energy storage material type corresponding to the candidate combination with the highest comprehensive evaluation value is determined as the optimal phase change energy storage material type, and the combination that satisfies the following criteria is selected. The continuous dosage range is determined as the recommended dosage range, where, The preset deviation coefficient, This represents the maximum value of the comprehensive evaluation. Based on the mixing temperature corresponding to the optimal candidate combination Reference mixing temperature Compaction temperature and reference compaction temperature Calculate the construction temperature adjustment value : .

8. A thermo-coupled phase change energy storage asphalt mixture design system, characterized in that, The parameter acquisition module is used to acquire the ambient temperature parameters, candidate phase change energy storage material parameters, and candidate asphalt mixture basic parameters of the target road application scenario; The temperature zone determination module is used to determine the target temperature zone and the allowable temperature difference threshold based on the ambient temperature parameters. The thermal parameter correction module is used to correct the phase change initiation temperature, phase change termination temperature, phase change latent heat and thermal conductivity of each candidate phase change energy storage material, so as to obtain the phase change working temperature range and equivalent thermal parameters of each candidate phase change energy storage material. The thermal matching screening module is used to calculate the thermal matching coefficient of each candidate phase change energy storage material in the target road application scenario based on the degree of overlap between the phase change working temperature zone and the target temperature regulation zone, the equivalent thermal parameters, and the basic parameters of the candidate asphalt mixture, and to screen out the materials to be evaluated whose thermal matching coefficient is not lower than the first threshold. The calibration and evaluation module is used to form candidate combinations for each material to be evaluated according to a preset doping range, and based on the pre-established thermo-mechanical coupling calibration relationship, determine the temperature adjustment amplitude, equivalent modulus reduction factor and strength retention factor corresponding to each candidate combination, and eliminate candidate combinations that are lower than the corresponding lower threshold in any of the Marshall stability, compressive strength and dynamic stability indicators, or whose strength retention factor is lower than the second threshold. The comprehensive decision-making module is used to calculate a comprehensive evaluation value for the candidate combinations that have been eliminated, based on the temperature adjustment amplitude, the strength retention coefficient, and the cost parameters, and to determine the optimal phase change energy storage material type, recommended dosage range, and construction temperature adjustment value for the target road application scenario based on the comprehensive evaluation value. The result generation module is used to generate the mix design results of phase change energy storage asphalt mixture based on the optimal phase change energy storage material type, the recommended dosage range, and the construction temperature adjustment value.

9. A thermo-coupled phase change energy storage asphalt mixture design system according to claim 8, characterized in that, The temperature zone determination module is used to perform time-period statistics and operating condition decomposition on the ambient temperature parameters, and extract the temperature zone corresponding to the peak heating period. Temperature range corresponding to the cooling period The target temperature range is determined according to the following formula. and allowable temperature difference threshold : ; ; ; The thermal parameter correction module is used to adjust the phase change initiation temperature of candidate phase change energy storage materials. Phase transition termination temperature Apparent latent heat of phase transition After correcting for thermal conductivity, the phase change operating temperature range is obtained. and equivalent thermal parameters, wherein the equivalent thermal parameters include at least the corrected latent heat of phase change. Corrected thermal conductivity Equivalent heat storage per unit volume .

10. A thermo-coupled phase change energy storage asphalt mixture design system according to claim 8, characterized in that, The heat matching screening module is used to select based on the interval overlap coefficient. Equivalent heat storage per unit volume and thermal conductivity deviation coefficient Calculate the thermal matching coefficient Its expression is: ； ； ； in, , and Let be the weight coefficient, and satisfy... ; The comprehensive decision-making module is used to perform dimensionless processing on the temperature regulation amplitude, intensity retention coefficient, and cost parameters. It uses the entropy weight method to determine the weight of each evaluation index and uses an algorithm to rank candidate combinations to calculate the comprehensive evaluation value. The phase change energy storage material type corresponding to the candidate combination with the highest comprehensive evaluation value is determined as the optimal phase change energy storage material type, and the material type that meets the following criteria is selected. The continuous dosage range is determined as the recommended dosage range.

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