A skeleton dense mixture design method based on aggregate tri-state packing test

Abstract

The embodiment of the specification discloses a skeleton dense mixture design method based on aggregate three-state accumulation test, which comprises the following steps: performing a conventional gradation accumulation density test on skeleton coarse aggregate to obtain a first test result corresponding to the skeleton coarse aggregate; setting a first boundary condition based on the first test result and calculating a plurality of first aggregate sizes and a first passing rate corresponding to the first aggregate sizes; calculating a round smooth gradation based on the first aggregate sizes and the first passing rate corresponding to the first aggregate sizes; and calculating a mineral aggregate gradation based on the round smooth gradation; performing a Marshall experiment on the mineral aggregate gradation satisfying a second boundary condition and a plurality of preset asphalt contents to obtain a judgment result corresponding to each asphalt content; selecting a target asphalt content from the judgment results; performing a road performance test based on the target asphalt content and the mineral aggregate gradation, and adjusting the mineral aggregate gradation until the mineral aggregate gradation passes the road performance test when the road performance test fails.

Description

Technical Field

[0001] This invention relates to the field of mix design technology for asphalt mixtures in road engineering, and in particular to a method, apparatus, electronic device, and storage medium for designing skeleton-compacted mixtures based on aggregate three-state packing tests. Background Technology

[0002] Currently, heavy-load traffic on highways, trunk roads with heavy-load lanes, long longitudinal slopes, and intersections results in road surfaces subjected to high axle loads, repeated compaction, and slow creep over long periods. Rutting, shoving, and bulging are the most significant early-stage defects in these road surfaces. The mainstream design method for dense asphalt mixtures in the industry is the traditional Marshall empirical gradation method, relying solely on the sieve passing rate range specified in the standards for design.

[0003] Existing technologies have the following drawbacks: Traditional Marshall methods rely primarily on the specified sieve aperture range for design, which is highly empirical and lacks mechanistic analysis. They fail to adequately consider material behavior under stress or temperature variations, and cannot accurately simulate the actual requirements of heavy traffic on the technical specifications of the mixture. Furthermore, the drop hammer compaction method used in the Marshall laboratory cannot fully simulate the actual rolling process during road construction. This results in a mixture designed in the laboratory theoretically meeting the interlocking requirements, but after on-site compaction, the actual voids and interlocking effect are significantly reduced. Under heavy loads, the mixture is highly susceptible to skeletal instability and rapid deformation, directly leading to the most significant early-stage road defects such as rutting, shoving, and bulging, severely impacting road service life. Summary of the Invention

[0004] To address the problems existing in the prior art, this specification describes a method, apparatus, electronic device, and storage medium for designing skeleton-dense mixtures based on aggregate three-state packing tests, using one or more embodiments.

[0005] According to the first aspect, a method for designing skeleton-dense mixtures based on aggregate three-state packing tests is provided, the method comprising:

[0006] Collect aggregates and wash and screen them to obtain coarse aggregates for the skeleton and fine aggregates for filling;

[0007] A conventional gradation bulk density test is performed on the skeleton coarse aggregate to obtain a first test result corresponding to the skeleton coarse aggregate. Based on the first test result, a first boundary condition is set and multiple first aggregate sizes and a first throughput corresponding to the first aggregate size are calculated. Based on each first aggregate size and the first throughput corresponding to the first aggregate size, a rounded gradation is calculated. Based on the rounded gradation, the mineral gradation is calculated.

[0008] Based on the bulk density test of the mineral gradation, a second test result corresponding to the mineral gradation is obtained. Based on the second test result, it is determined whether the mineral gradation meets the preset second boundary condition. If the mineral gradation does not meet the second boundary condition, the mineral gradation is adjusted until the adjusted mineral gradation meets the second boundary condition.

[0009] Based on the aggregate gradation that satisfies the second boundary condition and the preset multiple sets of asphalt dosage, a Marshall experiment is conducted to obtain a judgment result corresponding to each of the asphalt dosages, and the target asphalt dosage is selected from each of the judgment results.

[0010] Based on the target asphalt content and the aggregate gradation, a road performance test is conducted. If the road performance test fails, the aggregate gradation is adjusted until it passes the test. Production is then carried out based on the adjusted aggregate gradation.

[0011] Preferably, the step of setting the first boundary conditions based on the first test results and calculating multiple first aggregate sizes and a first throughput corresponding to the first aggregate size includes:

[0012] Select a first gap ratio that satisfies the first boundary condition from the first test results;

[0013] The absolute volume of coarse aggregate and the absolute volume of fine aggregate are calculated based on the first gap ratio.

[0014] The proportions of coarse aggregate and fine aggregate are calculated based on the absolute volumes of the coarse aggregate and the fine aggregate.

[0015] Calculate the passing rate corresponding to the key sieve aperture and the passing rate corresponding to the maximum particle size / 2 based on the coarse aggregate ratio and the fine aggregate ratio;

[0016] Based on the throughput corresponding to the key sieve aperture, the throughput corresponding to the maximum particle size / 2, and the throughput corresponding to the set key sieve aperture, multiple first aggregate sizes and a first throughput corresponding to the first aggregate size are calculated.

[0017] Preferably, the method further includes: calculating the actual loose compaction difference and the actual loose tamping difference, as well as the corresponding average loose compaction difference and the average loose tamping difference, based on the second test results; setting an interference coefficient; and the second boundary condition being that if the actual loose compaction difference is less than the interference coefficient multiplied by the average loose tamping difference, then the aggregate gradation satisfies the second boundary condition.

[0018] Preferably, adjusting the ore gradation until the adjusted ore gradation meets the second boundary condition includes: adjusting the throughput corresponding to the key sieve aperture based on a set adjustment step size.

[0019] Preferably, the adjustment step size is 0.1%.

[0020] Preferably, the road performance tests include high-temperature rutting test, freeze-thaw splitting strength ratio test, immersion Marshall test, and water seepage test.

[0021] Preferably, adjusting the target aggregate gradation when the road performance test fails includes: increasing the proportion of coarse aggregate if the high-temperature rutting test or the water immersion Marshall test fails; and increasing the proportion of fine aggregate if the freeze-thaw splitting strength ratio test or the water permeability test fails.

[0022] According to the second aspect, a skeleton-dense mixture design device based on aggregate three-state packing test is provided, the device comprising:

[0023] The raw material selection and screening module is used to obtain aggregates and wash and screen the aggregates to obtain coarse aggregates for the skeleton and fine aggregates for filling.

[0024] The first gradation module is used to perform a conventional gradation bulk density test on the skeleton coarse aggregate to obtain a first test result corresponding to the skeleton coarse aggregate, set a first boundary condition based on the first test result and calculate a plurality of first aggregate sizes and a first pass rate corresponding to the first aggregate size, calculate a rounded gradation based on each first aggregate size and the first pass rate corresponding to the first aggregate size, and calculate the mineral gradation based on the rounded gradation.

[0025] The second gradation module is used to perform a bulk density test based on the mineral gradation to obtain a second test result corresponding to the mineral gradation, and to determine whether the mineral gradation meets the preset second boundary condition based on the second test result. If the mineral gradation does not meet the second boundary condition, the mineral gradation is adjusted until the adjusted mineral gradation meets the second boundary condition.

[0026] The optimal asphalt dosage determination module is used to perform Marshall experiments based on the aggregate gradation that satisfies the second boundary condition and multiple preset asphalt dosages to obtain a determination result corresponding to each asphalt dosage, and select the target asphalt dosage from each determination result.

[0027] The road performance testing module is used to conduct road performance tests based on the target asphalt content and the aggregate gradation, and to adjust the aggregate gradation until it passes the road performance test if the road performance test fails, and to carry out production based on the adjusted aggregate gradation.

[0028] According to a third aspect, an electronic device is provided, including a processor and a memory;

[0029] The processor is connected to the memory;

[0030] The memory is used to store executable program code;

[0031] The processor runs a program corresponding to the executable program code stored in the memory to perform the steps of the method provided as in the first aspect or any possible implementation thereof.

[0032] According to a fourth aspect, a computer-readable storage medium is provided having a computer program stored thereon, the computer-readable storage medium storing instructions that, when executed on a computer or processor, cause the computer or processor to perform the method provided as in the first aspect or any possible implementation thereof.

[0033] The beneficial effects of this invention are as follows:

[0034] 1. The methods and apparatus provided in the embodiments of this specification, by introducing dynamic indicators and aggregate packing characteristics as dual constraints, achieve a high degree of matching between the evaluation system and the actual heavy-load service conditions of the road surface. Only when the mixture passes the test in terms of structural skeleton and dynamic deformation resistance can it be judged as qualified. This cuts off the possibility of false skeleton and falsely embedded mixture flowing into the construction site from the source, avoids the most important early defects such as rutting, shoving and bulging of the road surface, and improves the service life of the road.

[0035] 2. The method and apparatus provided in the embodiments of this specification, by setting the adjustment step size to 0.1%, can effectively control the minute increment of interference particles, ensuring that the fine aggregate reaches the ideal interlocking state of being filled without being stretched when filling the coarse aggregate skeleton. This fundamentally solves the industry problem of false skeleton and false interlocking. Moreover, the thousand-grade gradation step size makes the transition of the pass rate between each sieve hole smoother, avoiding abrupt changes or humps in the gradation curve, thereby significantly reducing the risk of material segregation during the actual mixing and paving process. Attached Figure Description

[0036] To more clearly illustrate the technical solutions in the embodiments of this application, the accompanying drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0037] Figure 1 This is a flowchart illustrating a skeleton-dense mixture design method based on aggregate three-state packing test in a specific implementation of this specification.

[0038] Figure 2 This is a structural schematic diagram of a skeleton-compacted mixture design device based on aggregate three-state packing test in a specific implementation of this specification;

[0039] Figure 3 This is a schematic diagram of the structure of an electronic device in a specific implementation of this specification;

[0040] Figure 4 This is a detailed flowchart illustrating a skeleton-dense mixture design method based on aggregate three-state packing test in the specific implementation of this specification. Detailed Implementation

[0041] The technical solutions in the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings.

[0042] In the following description, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance. The following description provides multiple embodiments of this application, which can be substituted or combined with each other. Therefore, this application can also be considered to include all possible combinations of the same and / or different embodiments described. Thus, if one embodiment includes features A, B, and C, and another embodiment includes features B and D, then this application should also be considered to include embodiments containing one or more other possible combinations of A, B, C, and D, even if such embodiments are not explicitly described in the following text.

[0043] The following description provides examples and does not limit the scope, applicability, or examples set forth in the claims. Changes may be made to the function and arrangement of the described elements without departing from the scope of this application. Various processes or components may be appropriately omitted, substituted, or added to the examples. For example, the described methods may be performed in a different order than described, and various steps may be added, omitted, or combined. Furthermore, features described with respect to some examples may be combined into other examples.

[0044] See Figure 1 , Figure 1 , Figure 4 This is a flowchart illustrating the skeleton-dense mixture design method based on aggregate three-state packing test provided in this application embodiment. In this application embodiment, the method includes:

[0045] S101. Obtain aggregates and wash and screen the aggregates to obtain skeleton coarse aggregates and filler fine aggregates;

[0046] The entity executing this application may be a cloud server.

[0047] In this embodiment, aggregates are obtained and washed and screened to obtain fine aggregates that can pass through the sieve openings and coarse aggregates that cannot pass through the sieve openings. For example, the aggregates may include coarse aggregates, fine aggregates, mineral powder, and asphalt. The coarse aggregates are limestone aggregates with a crushing value of 17%, and a needle-like / flaky content of 3.5% above 13.2mm and 3.6% below 13.2mm. The fine aggregates are manufactured limestone sand. The mineral powder is ground limestone mineral powder. The asphalt is SBS ID modified asphalt, suitable for heavy traffic and high-temperature conditions. All aggregates are washed and screened according to current road specifications. Using a 4.75mm sieve opening as the boundary, aggregates ≥4.75mm are classified as coarse aggregates, and aggregates <4.75mm are classified as fine aggregates.

[0048] S102. Perform a conventional gradation bulk density test on the skeleton coarse aggregate to obtain a first test result corresponding to the skeleton coarse aggregate. Based on the first test result, set a first boundary condition and calculate a plurality of first aggregate sizes and a first pass rate corresponding to the first aggregate size. Based on each first aggregate size and the first pass rate corresponding to the first aggregate size, calculate a rounded gradation. Based on the rounded gradation, calculate the mineral gradation.

[0049] In this embodiment, a conventional gradation bulk density test was conducted on coarse aggregates with a skeleton size of 4.75mm to 13.2mm. Each test group was tested in parallel three times. After removing abnormal data, the arithmetic mean was taken to obtain the first test result of the conventional gradation bulk density test. The first test result includes multiple groups of loose skeleton gap ratios, the average value of loose skeleton gap ratios, multiple groups of vibrated skeleton gap ratios, the average value of vibrated skeleton gap ratios, multiple groups of tamped skeleton gap ratios, and the average value of tamped skeleton gap ratios. Based on the first test result, a first boundary condition was set and multiple first aggregate sizes and the first pass rate corresponding to each first aggregate size were calculated. The first boundary condition is that the set first gap ratio is greater than or equal to the average value of the tamped skeleton gap ratio and less than or equal to the average value of the loose skeleton gap ratio. Based on each first aggregate size and the first pass rate corresponding to the first aggregate size, a rounded gradation was calculated, and the mineral gradation was calculated based on the rounded gradation.

[0050] In one possible implementation, the process of setting first boundary conditions based on the first test results and calculating multiple first aggregate sizes and the first pass rate corresponding to each first aggregate size is as follows: Select the first gap ratio that satisfies the first boundary conditions based on the first test results, and set the aggregate gap ratio, coarse-to-fine ratio and the pass rate corresponding to the key screen holes. The absolute volume of coarse aggregate = 1 - the first gap ratio, and the absolute volume of fine aggregate = the first gap ratio - the aggregate gap ratio. The relative bulk density of coarse aggregate and the relative bulk density of fine aggregate were calculated using a weighted harmonic average method based on the density of each grade of aggregate and the content of particles above the key sieve opening. The content of particles above the key sieve opening was determined according to the sieve test results of each grade of aggregate obtained from the "Test Procedures for Aggregates in Highway Engineering" (JTG3432-2024 / T0302), where the content of particles above the key sieve opening is calculated as (1 - percentage of mass passing through the key sieve opening). The density of coarse aggregate was measured using the basket method in the "Test Procedures for Aggregates in Highway Engineering" (JTG3432-2024 / T0304), and the density of fine aggregate was measured using the volumetric flask method in the "Test Procedures for Aggregates in Highway Engineering" (JTG3432-2024 / T0328). The weight of coarse aggregate was obtained by multiplying its absolute volume by its relative bulk density, and the weight of fine aggregate was obtained by multiplying its absolute volume by its relative bulk density. The total aggregate weight is obtained by adding the weights of coarse and fine aggregates. The coarse aggregate weight is then compared to the total aggregate weight to obtain the coarse aggregate ratio. Similarly, the fine aggregate weight is compared to the total aggregate weight to obtain the fine aggregate ratio. The fine aggregate ratio represents the passing rate corresponding to the key screen aperture. The passing rate corresponding to the maximum particle size / 2 is calculated. Then, based on the passing rates corresponding to the maximum particle size / 2, key sieve openings, and critical sieve openings, multiple first aggregate sizes and their corresponding first passing rates are calculated. Next, using mathematical interpolation or a gradation curve template, a smooth curve is plotted, and the specific passing rates of other sieve openings such as 16mm, 9.5mm, 2.36mm, and 1.18mm are calculated. The sieving test results of various single-grade aggregates (such as crushed stone, stone chips, and mineral powder) are analyzed to identify the "dominant sieve opening" (i.e., the particle size with the highest residue) for each aggregate. For example, if mineral powder has an absolute advantage in particle sizes <0.075mm, it can be assumed that all particles of that size in the mixture are provided by mineral powder. The preliminary estimated proportions of each aggregate are substituted to calculate the composite gradation. The passing rate of the composite gradation at a certain sieve opening is equal to the sum of the products of the passing rates of each aggregate at that sieve opening and the blending proportion of that aggregate.

[0051] As an example, a configuration is selected with a first void ratio of 40%, an aggregate void ratio of 13%, a coarse-to-fine ratio of 0.55, and a 0.075mm throughput of 6.0%. In a dense skeleton structure, 0.075mm particles and fine aggregates together form "asphalt mastic," which is used to fill the voids in the coarse aggregate skeleton. If the fine aggregates and mineral powder are overfilled, an "interference effect" will occur, causing the coarse aggregate particles to expand and the original load-bearing skeleton composed of coarse aggregates to become suspended. The mixture will directly lose its rutting resistance. The 6.0% throughput, combined with the proportion of other fine aggregates, can accurately match the void volume of the coarse aggregate, achieving the ideal interlocking state of "just filling without expanding." The minimum absolute volume of coarse aggregate (above 4.75mm) was calculated to be 60%, and the absolute volume of fine aggregate was calculated to be 27%. Based on the particle content and density of each grade of aggregate, the relative density of the composite bulk volume of coarse aggregate (above 4.75mm) was calculated to be 2.718, and the relative density of the composite bulk volume of fine aggregate (below 4.75mm) was calculated to be 2.686. Further calculations showed that the weights of coarse and fine aggregates (including fillers) per unit volume of asphalt mixture, mcoarse and mfine, were 163.08 and 72.52, respectively. After simplification, the proportion of coarse aggregate was 69.4%, and the proportion of fine aggregate (including fillers) was 30.6%. Based on the selected coarse-to-fine ratio coefficient, the passing rate of the key sieve with a 4.75mm aperture was calculated to be 30.6%, and the passing rate of the maximum particle size (D / 2) of 13.2mm was 72.9%. Combined with the passing rate of 0.075mm at 6.0%, the rounded gradation and corresponding aggregate gradation were synthesized.

[0052] S103. Based on the mineral gradation, a bulk density test is conducted to obtain a second test result corresponding to the mineral gradation. Based on the second test result, it is determined whether the mineral gradation meets the preset second boundary condition. If the mineral gradation does not meet the second boundary condition, the mineral gradation is adjusted until the adjusted mineral gradation meets the second boundary condition.

[0053] In this embodiment of the application, a bulk density test is conducted based on the mineral gradation to obtain the second test results corresponding to the mineral gradation. The second test results include multiple sets of loose state skeleton gap ratios, the average value of the loose state skeleton gap ratios, multiple sets of vibrated state skeleton gap ratios, the average value of the vibrated state skeleton gap ratios, multiple sets of tamped state skeleton gap ratios, and the average value of the tamped state skeleton gap ratios. Based on the second test results, it is determined whether the mineral gradation meets the preset second boundary condition. If the mineral gradation does not meet the second boundary condition, the mineral gradation is adjusted until the adjusted mineral gradation meets the second boundary condition after a bulk density test.

[0054] In one possible implementation, an interference coefficient is set, specifically, the interference coefficient can be set to 0.8. The actual loose compaction difference and the actual loose tamping difference are calculated based on the gap ratios of multiple sets of loose state skeletons and multiple sets of compacted state skeletons. The average loose compaction difference and the average loose tamping difference are calculated based on the average gap ratios of the loose state skeletons and the average gap ratios of the compacted state skeletons. The second boundary condition is that if the actual loose compaction difference is greater than or equal to the interference coefficient multiplied by the average loose tamping difference, then the aggregate gradation does not meet the second boundary condition; if the actual loose compaction difference is less than the interference coefficient multiplied by the average loose tamping difference, then the aggregate gradation meets the second boundary condition.

[0055] In one possible implementation, as described above, when the second boundary condition is not met, it indicates that the average value of the skeleton void ratio in the vibratory compaction state is close to the average value of the skeleton void ratio in the tamping state. That is, the aggregate has completed most of the void compression during the vibration compaction stage, and the proportion of large-diameter coarse aggregate in the aggregate gradation is too high. Under vibration, the coarse aggregate quickly slides and reorganizes, and the voids are reduced significantly at once. It is necessary to reduce the proportion of coarse aggregate and increase the proportion of fine aggregate. The process of adjusting the aggregate gradation is as follows: the proportion of all the aggregates involved in the synthesis (such as 4 grades of coarse aggregate, 3 grades of fine aggregate, and 1 grade of mineral powder) is adjusted. The adjustment step size is set to 0.1%, adjusting the pass rate corresponding to the key sieve openings in 0.1% increments. In this application, setting the adjustment step size to 0.1% can effectively control the small increment of interfering particles, ensuring that the fine aggregate reaches the ideal interlocking state of being filled without being stretched when filling the coarse aggregate skeleton. This fundamentally solves the industry problem of false skeletons and false interlocking. Moreover, the gradation step size makes the transition of the pass rate between each sieve opening smoother, avoiding abrupt changes or humps in the gradation curve, thereby significantly reducing the risk of material segregation during actual mixing and paving.

[0056] S104. Based on the aggregate gradation that satisfies the second boundary condition and the preset multiple sets of asphalt dosage, a Marshall test is performed to obtain a judgment result corresponding to each set of asphalt dosage, and a target asphalt dosage is selected from each set of judgment results.

[0057] In this embodiment, based on the aggregate gradation that satisfies the second boundary condition obtained above, multiple sets of gradient asphalt dosages are set, and standard Marshall double-sided compaction 75 times is used to form specimens to obtain the test results corresponding to each set of asphalt dosages. The test results include the mixture void ratio corresponding to each set of asphalt dosages. Reference thresholds are set according to the "Technical Specification for Construction of Highway Asphalt Pavement", such as setting the void ratio to be 3%~6%, the stability to be not less than 8kN, and the flow value to be 1.5~4mm. The optimal asphalt dosage is selected from each set of asphalt dosages based on the reference thresholds.

[0058] S105. Conduct road performance tests based on the target asphalt content and the aggregate gradation, and adjust the aggregate gradation until it passes the road performance test if the road performance test fails, and then produce based on the adjusted aggregate gradation.

[0059] In this embodiment of the application, road performance tests are conducted based on the optimal asphalt content and aggregate gradation selected above. If the road performance test fails, the aggregate gradation is adjusted until the adjusted aggregate gradation passes the road performance test, and production is carried out according to the adjusted aggregate gradation.

[0060] In one possible implementation, the road performance tests include a high-temperature rutting test, a freeze-thaw splitting strength ratio test, a water immersion Marshall test, and a water permeability test. The high-temperature rutting test is conducted at an ambient temperature of 60°C, with a test wheel pressure of 0.7 MPa and a total test duration of 60 minutes. The dynamic stability of the mixture and the residual deformation under heavy load over 60 minutes are obtained. If the dynamic stability of the mixture is ≥3000 cycles / mm and the residual deformation under heavy load over 60 minutes is ≤1.5mm, the high-temperature rutting test is considered passed. The freeze-thaw splitting strength ratio test is passed if the mixture's freeze-thaw splitting strength ratio is greater than 80%. The water immersion Marshall test measures the residual Marshall stability; if the residual Marshall stability is ≥85%, the water immersion Marshall test is passed. The water permeability test measures the permeability coefficient; if the permeability coefficient is less than or equal to 120 mL / min, the water permeability test is passed.

[0061] In one possible implementation, if the high-temperature rutting test or the immersion Marshall test fails, it indicates that the pass rate of the key sieve should be reduced and the proportion of coarse aggregate should be increased; if the freeze-thaw splitting strength ratio test or the water seepage test fails, the pass rate of the key sieve should be increased and the proportion of fine aggregate should be increased.

[0062] The following will be combined with the appendix Figure 2 This paper provides a detailed description of the skeleton-compacted mixture design device based on the three-state aggregate packing test provided in the embodiments of this application. It should be noted that the appendix... Figure 2 The skeleton-compacted mixture design device shown is based on the aggregate three-state packing test and is used to implement the present application. Figure 1 The methods shown in the embodiments are for illustrative purposes only, illustrating the parts relevant to the embodiments of this application. For specific technical details not disclosed, please refer to this application. Figure 1 The example shown.

[0063] Please see Figure 2 , Figure 2 This is a schematic diagram of the skeleton-dense mixture design device based on aggregate three-state packing test provided in an embodiment of this application. Figure 2 As shown, the device includes:

[0064] The raw material selection and screening module 201 is used to obtain aggregates and wash and screen the aggregates to obtain coarse aggregates for the skeleton and fine aggregates for filling.

[0065] The first gradation module 202 is used to perform a conventional gradation bulk density test on the skeleton coarse aggregate to obtain a first test result corresponding to the skeleton coarse aggregate, set a first boundary condition based on the first test result and calculate a plurality of first aggregate sizes and a first pass rate corresponding to the first aggregate size, calculate a rounded gradation based on each first aggregate size and the first pass rate corresponding to the first aggregate size, and calculate the mineral gradation based on the rounded gradation.

[0066] The second gradation module 203 is used to perform a bulk density test based on the mineral gradation to obtain a second test result corresponding to the mineral gradation, and to determine whether the mineral gradation meets the preset second boundary condition based on the second test result. If the mineral gradation does not meet the second boundary condition, the mineral gradation is adjusted until the adjusted mineral gradation meets the second boundary condition.

[0067] The optimal asphalt content determination module 204 is used to perform Marshall experiments based on the aggregate gradation that satisfies the second boundary condition and multiple preset asphalt contents to obtain a determination result corresponding to each asphalt content, and select the target asphalt content from each determination result.

[0068] The road performance test module 205 is used to conduct road performance tests based on the target asphalt content and the aggregate gradation, and adjust the aggregate gradation until the aggregate gradation passes the road performance test if the road performance test fails, and carry out production based on the adjusted aggregate gradation.

[0069] In one possible implementation, the first cascading module 202 is specifically used for:

[0070] Select a first gap ratio that satisfies the first boundary condition from the first test results;

[0071] The absolute volume of coarse aggregate and the absolute volume of fine aggregate are calculated based on the first gap ratio.

[0072] The proportions of coarse aggregate and fine aggregate are calculated based on the absolute volumes of the coarse aggregate and the fine aggregate.

[0073] Calculate the passing rate corresponding to the key sieve aperture and the passing rate corresponding to the maximum particle size / 2 based on the coarse aggregate ratio and the fine aggregate ratio;

[0074] Based on the throughput corresponding to the key sieve aperture, the throughput corresponding to the maximum particle size / 2, and the throughput corresponding to the set key sieve aperture, multiple first aggregate sizes and a first throughput corresponding to the first aggregate size are calculated.

[0075] In one possible implementation, the second cascading module 203 is specifically used for:

[0076] Based on the second test results, the actual loose compaction difference and the actual loose tamping difference, as well as the corresponding average loose compaction difference and the average loose tamping difference, are calculated. An interference coefficient is set, and the second boundary condition is that if the actual loose compaction difference is less than the interference coefficient multiplied by the average loose tamping difference, then the aggregate gradation satisfies the second boundary condition.

[0077] In one possible implementation, the second cascading module 203 is specifically used for:

[0078] The throughput of the key sieve aperture is adjusted based on the set adjustment step size.

[0079] In one possible implementation, the second cascading module 203 is specifically used for:

[0080] The adjustment step size is 0.1%.

[0081] In one possible implementation, the road performance testing module 205 is specifically used for:

[0082] The road performance tests include high-temperature rutting test, freeze-thaw splitting strength ratio test, water immersion Marshall test, and water seepage test.

[0083] In one possible implementation, the road performance testing module 205 is specifically used for:

[0084] If the high-temperature rutting test or the immersion Marshall test fails, the proportion of coarse aggregate is increased; if the freeze-thaw splitting strength ratio test or the water permeability test fails, the proportion of fine aggregate is increased.

[0085] Those skilled in the art will clearly understand that the technical solutions of the embodiments of this application can be implemented by means of software and / or hardware. In this specification, "unit" and "module" refer to software and / or hardware that can independently complete or cooperate with other components to complete a specific function, wherein the hardware may be, for example, a field-programmable gate array (FPGA), an integrated circuit (IC), etc.

[0086] Each processing unit and / or module in the embodiments of this application can be implemented by an analog circuit that implements the functions described in the embodiments of this application, or by software that executes the functions described in the embodiments of this application.

[0087] See Figure 3 It shows a schematic diagram of the structure of an electronic device according to an embodiment of this application, which can be used to implement... Figure 1 The method in the illustrated embodiment. (As shown) Figure 3 As shown, the electronic device 300 may include: at least one central processing unit 301, at least one network interface 304, user interface 303, memory 305, and at least one communication bus 302.

[0088] The communication bus 302 is used to enable communication between these components.

[0089] The user interface 303 may include a display screen and a camera. Optionally, the user interface 303 may also include a standard wired interface and a wireless interface.

[0090] The network interface 304 may optionally include a standard wired interface or a wireless interface (such as a Wi-Fi interface).

[0091] The central processing unit 301 may include one or more processing cores. The central processing unit 301 connects to various parts within the electronic device 300 using various interfaces and lines. It executes various functions of the terminal 300 and processes data by running or executing instructions, programs, code sets, or instruction sets stored in the memory 305, and by calling data stored in the memory 305. Optionally, the central processing unit 301 may be implemented using at least one hardware form of Digital Signal Processing (DSP), Field-Programmable Gate Array (FPGA), or Programmable Logic Array (PLA). The central processing unit 301 may integrate one or more of the following: a central processing unit (CPU), a graphics processing unit (GPU), and a modem. The CPU primarily handles the operating system, user interface, and applications; the GPU is responsible for rendering and drawing the content required for display; and the modem handles wireless communication. It is understood that the modem may also be implemented as a separate chip without being integrated into the central processing unit 301.

[0092] The memory 305 may include random access memory (RAM) or read-only memory. Optionally, the memory 305 may include a non-transitory computer-readable storage medium. The memory 305 may be used to store instructions, programs, code, code sets, or instruction sets. The memory 305 may include a program storage area and a data storage area, wherein the program storage area may store instructions for implementing an operating system, instructions for at least one function (such as touch function, sound playback function, image playback function, etc.), instructions for implementing the above-described method embodiments, etc.; the data storage area may store data involved in the above-described method embodiments, etc. Optionally, the memory 305 may also be at least one storage device located remotely from the aforementioned central processing unit 301. Figure 3 As shown, the memory 305, which serves as a computer storage medium, may include an operating system, a network communication module, a user interface module, and program instructions.

[0093] exist Figure 3 In the illustrated electronic device 300, the user interface 303 is mainly used to provide an input interface for the user and to acquire user input data; while the central processing unit 301 can be used to call the application program stored in the memory 305 and specifically perform the following operations:

[0094] S101. Obtain aggregates and wash and screen the aggregates to obtain skeleton coarse aggregates and filler fine aggregates;

[0095] S102. Perform a conventional gradation bulk density test on the skeleton coarse aggregate to obtain a first test result corresponding to the skeleton coarse aggregate. Based on the first test result, set a first boundary condition and calculate a plurality of first aggregate sizes and a first pass rate corresponding to the first aggregate size. Based on each first aggregate size and the first pass rate corresponding to the first aggregate size, calculate a rounded gradation. Based on the rounded gradation, calculate the mineral gradation.

[0096] S103. Based on the mineral gradation, a bulk density test is conducted to obtain a second test result corresponding to the mineral gradation. Based on the second test result, it is determined whether the mineral gradation meets the preset second boundary condition. If the mineral gradation does not meet the second boundary condition, the mineral gradation is adjusted until the adjusted mineral gradation meets the second boundary condition.

[0097] S104. Based on the aggregate gradation that satisfies the second boundary condition and the preset multiple sets of asphalt dosage, a Marshall test is performed to obtain a judgment result corresponding to each set of asphalt dosage, and a target asphalt dosage is selected from each set of judgment results.

[0098] S105. Conduct road performance tests based on the target asphalt content and the aggregate gradation, and adjust the aggregate gradation until it passes the road performance test if the road performance test fails, and then produce based on the adjusted aggregate gradation.

[0099] This application also provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the above-described method. The computer-readable storage medium may include, but is not limited to, any type of disk, including floppy disks, optical disks, DVDs, CD-ROMs, microdrives, as well as magneto-optical disks, ROMs, RAMs, EPROMs, EEPROMs, DRAMs, VRAMs, flash memory devices, magnetic cards or optical cards, nanosystems (including molecular memory ICs), or any type of medium or device suitable for storing instructions and / or data.

[0100] It should be noted that, for the sake of simplicity, the foregoing method embodiments are all described as a series of actions. However, those skilled in the art should understand that this application is not limited to the described order of actions, as some steps may be performed in other orders or simultaneously according to this application. Furthermore, those skilled in the art should also understand that the embodiments described in the specification are preferred embodiments, and the actions and modules involved are not necessarily essential to this application.

[0101] In the above embodiments, the descriptions of each embodiment have different focuses. For parts not described in detail in a certain embodiment, please refer to the relevant descriptions in other embodiments.

[0102] In the several embodiments provided in this application, it should be understood that the disclosed apparatus can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some service interface; the indirect coupling or communication connection between devices or units may be electrical or other forms.

[0103] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0104] Furthermore, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0105] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage device (CMD). Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a memory and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this application. The aforementioned memory includes various media capable of storing program code, such as USB flash drives, read-only memory (ROM), random access memory (RAM), portable hard drives, magnetic disks, or optical disks.

[0106] Those skilled in the art will understand that all or part of the steps in the various methods of the above embodiments can be implemented by a program instructing related hardware. The program can be stored in a computer-readable storage medium, which may include: a flash drive, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk, etc.

[0107] The foregoing description is merely an exemplary embodiment of this disclosure and should not be construed as limiting the scope of this disclosure. Any equivalent changes and modifications made in accordance with the teachings of this disclosure shall still fall within the scope of this disclosure. Those skilled in the art will readily conceive of embodiments of this disclosure upon considering the specification and practicing the disclosure herein. This application is intended to cover any variations, uses, or adaptations of this disclosure that follow the general principles of this disclosure and include common knowledge or customary techniques in the art not described herein. The specification and embodiments are to be considered exemplary only, and the scope and spirit of this disclosure are defined by the claims.

Claims

1. A method for designing skeleton-dense mixtures based on aggregate three-state packing tests, characterized in that, The method includes: Collect aggregates and wash and screen them to obtain coarse aggregates for the skeleton and fine aggregates for filling; A conventional gradation bulk density test is performed on the skeleton coarse aggregate to obtain a first test result corresponding to the skeleton coarse aggregate. Based on the first test result, a first boundary condition is set and multiple first aggregate sizes and a first throughput corresponding to the first aggregate size are calculated. Based on each first aggregate size and the first throughput corresponding to the first aggregate size, a rounded gradation is calculated. Based on the rounded gradation, the mineral gradation is calculated. Based on the bulk density test of the mineral gradation, a second test result corresponding to the mineral gradation is obtained. Based on the second test result, it is determined whether the mineral gradation meets the preset second boundary condition. If the mineral gradation does not meet the second boundary condition, the mineral gradation is adjusted until the adjusted mineral gradation meets the second boundary condition. Based on the aggregate gradation that satisfies the second boundary condition and the preset multiple sets of asphalt dosage, a Marshall experiment is conducted to obtain a judgment result corresponding to each of the asphalt dosages, and a target asphalt dosage is selected from each of the judgment results. Based on the target asphalt content and the aggregate gradation, a road performance test is conducted. If the road performance test fails, the aggregate gradation is adjusted until it passes the test. Production is then carried out based on the adjusted aggregate gradation.

2. The method for designing skeleton-dense mixtures based on aggregate three-state packing tests according to claim 1, characterized in that, The step of setting first boundary conditions based on the first test results and calculating multiple first aggregate sizes and a first pass rate corresponding to the first aggregate size includes: Select a first gap ratio that satisfies the first boundary condition from the first test results; The absolute volume of coarse aggregate and the absolute volume of fine aggregate are calculated based on the first gap ratio. The proportions of coarse aggregate and fine aggregate are calculated based on the absolute volumes of the coarse aggregate and the fine aggregate. Calculate the passing rate corresponding to the key sieve aperture and the passing rate corresponding to the maximum particle size / 2 based on the coarse aggregate ratio and the fine aggregate ratio; Based on the throughput corresponding to the key sieve aperture, the throughput corresponding to the maximum particle size / 2, and the throughput corresponding to the set key sieve aperture, multiple first aggregate sizes and a first throughput corresponding to the first aggregate size are calculated.

3. The method for designing skeleton-dense mixtures based on aggregate three-state packing tests according to claim 2, characterized in that, The method further includes: calculating the actual loose compaction difference and the actual loose tamping difference, as well as the corresponding average loose compaction difference and the average loose tamping difference, based on the second test results; setting an interference coefficient; and the second boundary condition being that if the actual loose compaction difference is less than the interference coefficient multiplied by the average loose tamping difference, then the aggregate gradation satisfies the second boundary condition.

4. The method for designing skeleton-dense mixtures based on aggregate three-state packing tests according to claim 3, characterized in that, The step of adjusting the gradation of the ore until the adjusted gradation of the ore satisfies the second boundary condition includes: adjusting the pass rate corresponding to the key sieve aperture based on a set adjustment step size.

5. The method for designing skeleton-dense mixtures based on aggregate three-state packing tests according to claim 4, characterized in that, The adjustment step size is 0.1%.

6. The method for designing skeleton-dense mixtures based on aggregate three-state packing tests according to claim 1, characterized in that, The road performance tests include high-temperature rutting test, freeze-thaw splitting strength ratio test, water immersion Marshall test, and water seepage test.

7. The method for designing skeleton-dense mixtures based on aggregate three-state packing tests according to claim 6, characterized in that, The adjustment of the target aggregate gradation when the road performance test fails includes: if the high-temperature rutting test or the water immersion Marshall test fails, increasing the proportion of coarse aggregate; if the freeze-thaw splitting strength ratio test or the water permeability test fails, increasing the proportion of fine aggregate.

8. A design device for skeleton-dense mixtures based on aggregate three-state packing test, characterized in that, The device includes: The raw material selection and screening module is used to obtain aggregates and wash and screen the aggregates to obtain coarse aggregates for the skeleton and fine aggregates for filling. The first gradation module is used to perform a conventional gradation bulk density test on the skeleton coarse aggregate to obtain a first test result corresponding to the skeleton coarse aggregate, set a first boundary condition based on the first test result and calculate a plurality of first aggregate sizes and a first pass rate corresponding to the first aggregate size, calculate a rounded gradation based on each first aggregate size and the first pass rate corresponding to the first aggregate size, and calculate the mineral gradation based on the rounded gradation. The second gradation module is used to perform a bulk density test based on the mineral gradation to obtain a second test result corresponding to the mineral gradation, and to determine whether the mineral gradation meets the preset second boundary condition based on the second test result. If the mineral gradation does not meet the second boundary condition, the mineral gradation is adjusted until the adjusted mineral gradation meets the second boundary condition. The optimal asphalt dosage determination module is used to perform Marshall experiments based on the aggregate gradation that satisfies the second boundary condition and multiple preset asphalt dosages to obtain a determination result corresponding to each asphalt dosage, and select the target asphalt dosage from each determination result. The road performance testing module is used to conduct road performance tests based on the target asphalt content and the aggregate gradation, and to adjust the aggregate gradation until it passes the road performance test if the road performance test fails, and to carry out production based on the adjusted aggregate gradation.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the steps of the method as described in any one of claims 1-7.

10. A computer-readable storage medium having a computer program stored thereon, the computer-readable storage medium storing instructions that, when executed on a computer or processor, cause the computer or processor to perform the steps of the method as claimed in any one of claims 1-7.

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