An asphalt mixture mix proportion whole process dynamic design method

Abstract

The present application relates to a kind of asphalt mixture mix proportion whole process dynamic design method, comprising the following steps: sampling each specification mineral aggregate from quarry, determine the preliminary blending ratio of each specification mineral aggregate, carry out preliminary preparation according to this proportion, while feeding, the screening test is carried out to the mineral aggregate, record and organize each screening result, until 5%-10% of the whole process of asphalt mixture mix proportion of preparation;Carry out the target mix of preliminary preparation period.The effectiveness of the method proposed in the present application to the dynamic design method of target mix is analyzed, it is found that the deviation between the results of traditional mix design and the results of whole process dynamic design mix is large, and the main reason for the deviation of traditional design method is analyzed.The design results of the whole process dynamic design method of target mix are compared, which can effectively avoid the mix deviation caused by the variability of mineral aggregate in different periods, and effectively solve the problems that cannot be solved by traditional static target mix design method.

Description

Technical Field

[0001] This invention relates to the field of building materials technology, and in particular to a dynamic design method for the entire process of asphalt mixture mix proportion. Background Technology

[0002] The target mix design of asphalt mixture is an important part of the asphalt pavement construction process. Its essence is the design of the composition ratio and structure of the internal materials of the asphalt mixture. Its design results need to prove that the mixture using the mix ratio can meet the relevant performance requirements and be used to guide construction, determine the material preparation ratio and quantity, and serve as an important basis for construction quality control.

[0003] In my country, the Marshall test method is mainly used for the target mix design of asphalt mixtures. Currently, many scholars have optimized the target mix design based on this method, considering aspects such as material composition, performance index control, and testing methods. Optimization approaches can be divided into two main categories based on their principles. The first category optimizes the composition and structure of the asphalt mixture by improving the gradation composition through target mix design, thereby enhancing its road performance. The second category considers the construction process, optimizing the target mix design through quality control to reduce the variability of its composition and structure, ensuring that the target mix design truly represents the characteristics of the materials on site, thus achieving the goal of improving its performance.

[0004] When designing the target mix proportion, the proportion and quantity of materials to be prepared need to be initially determined based on the mix proportion. The results of the mix proportion design also need to represent the average compositional characteristics of all materials on site. In the traditional asphalt pavement design and construction process, the target mix proportion is generally designed only once, which can be called a single-stage target mix proportion design method. It mainly uses the aggregates in the early stage of material preparation for design. This design process can only represent the actual situation in the early stage of material preparation and cannot represent the average state of the materials that arrive on site later. Therefore, it cannot represent the entire material preparation process.

[0005] Therefore, it is necessary to propose a dynamic, multi-stage target mix design process based on the target mix design process and in conjunction with the construction process, so that the designed target mix can reflect the actual composition of the prepared mineral materials and provide guidance for the subsequent material preparation ratio and process. Summary of the Invention

[0006] To address the problems of existing technologies, this invention proposes a dynamic design method for the entire process of asphalt mixture proportioning.

[0007] This invention relates to a dynamic design method for asphalt mixture proportions throughout the entire process, comprising the following steps:

[0008] Step 1: Sample various sizes of aggregates from the quarry to determine the initial blending ratio of each size. Prepare materials according to this ratio. While feeding the aggregates, conduct sieving tests, record and organize the results of each sieving test, until the asphalt mixture mix proportion is 5%-10% of the total mix proportion. Design the target mix proportion in the early stage of material preparation. Based on the sieving monitoring results in the early stage of material preparation, design the target mix proportion. Obtain multiple gradation curves using numerical methods. Optimize the gradation based on relevant parameter indicators. Guided by the correlation between the volumetric index of asphalt mixture and the road performance of the mixture, select the gradation with the best road performance. Use the optimal gradation curve as the target mix proportion in the early stage of material preparation.

[0009] Step 2: Determine the feed ratio of each specification of ore in the next stage based on the target mix ratio, until the material preparation reaches 60%-70% of the estimated total process. Following the design process in the early stage of material preparation, obtain the target mix ratio in the middle stage of material preparation. Based on the percentage of ore prepared in the early and middle stages, obtain the comprehensive target mix ratio for the early and middle stages. Use this mix ratio to guide the feed ratio of each specification of ore in the next stage, until the material preparation reaches 100%. Screening monitoring tests are conducted simultaneously with feeding. Finally, conduct dynamic design of the target mix ratio in the later stage of material preparation. Design the target mix ratio based on the screening results. The process is the same as the target mix ratio design process in the middle stage of material preparation, and the target mix ratio design result for the later stage of material preparation is obtained.

[0010] The distinction between the early, middle, and late stages is based on the material preparation process. The early stage ends when the material preparation quality accounts for 5%-10% of the total quality. The middle stage begins when the material preparation quality reaches 60%-70% of the total quality. The late stage begins when the material preparation quality accounts for 70% to 100% of the total quality.

[0011] Step 3: Combine the percentages of material preparation in the early, middle and late stages to calculate the target mix proportion for the entire material preparation process. Use this result as the final target mix proportion design result, and then determine the optimal asphalt content to complete the dynamic design of the target mix proportion throughout the entire process.

[0012] In step two, based on the percentages of the raw materials prepared in the early and middle stages, the overall target mix ratio for the early and middle stages is obtained as f:g:h:i:j:…, where f, g, h, i, and j are the mass percentages of each specification of raw material prepared in the early and middle stages, in percentages (%).

[0013] In step two, the target mix design is carried out based on the screening results, as follows: [a*m / (m+n)+f*n / (m+n)]:[b*m / (m+n)+g*n / (m+n)]:[c*m / (m+n)+h*n / (m+n)]:[d*m / (m+n)+i*n / (m+n)]:[e*m / (m+n)+j*n / (m+n)]; where m and n are the percentages of the mass of the prepared materials at the beginning and the end of the middle stage, respectively, relative to the total mass of the prepared materials; a, b, c, d, and e are the percentages of the mass of each specification of ore after the initial gradation and selection at the beginning of the preparation; and f, g, h, i, and j are the percentages of the mass of each specification of ore in the beginning and middle stages of the preparation.

[0014] In step two, adjustments are made based on the target mix proportion to obtain the target mix proportion design result for the later stage of material preparation, which is v:w:x:y:z:…, where v, w, x, y, z, etc., are the mass percentages of each specification of mineral material after the gradation adjustment in the later stage of material preparation, in %.

[0015] In step three, the target mix proportion for the entire material preparation process is [a*m+f*n+v*(1-mn)]:[b*m+g*n+w*(1-mn)]:[c*m+h*n+x*(1-mn)]:[d*m+i*n+y*(1-mn)]:[e*m+j*n+z*(1-mn)]; where m and n are the percentages of the prepared material mass at the beginning and the end of the middle stages, respectively, relative to the total prepared material mass; a, b, c, d, and e are the percentages of the mass of each specification of ore after the initial gradation and selection in the initial stage of material preparation; and v, w, x, y, and z are the percentages of the mass of each specification of ore after the gradation adjustment in the later stage of material preparation.

[0016] Beneficial effects:

[0017] This invention analyzes the effectiveness of the dynamic design method for target mix proportions, finding a significant deviation between traditional mix proportion design results and the results of dynamic design throughout the entire process. The main reasons for this deviation in the traditional design method are also analyzed. The comparison demonstrates that the design results of the dynamic design method for target mix proportions throughout the entire process can effectively avoid mix proportion deviations caused by the variability of incoming mineral materials at different times, effectively solving problems that traditional static target mix proportion design methods cannot address.

[0018] This invention proposes a method that considers the entire material preparation process, overcoming the problem of previous methods where the target mix proportion for asphalt mixtures was only determined once, resulting in a disconnect between the design results and on-site materials. It proposes a dynamic design methodology and process for the target mix proportion based on the material preparation ratio at each stage. A dynamic design method and material preparation process management mechanism for the entire target mix proportion process are established; by using the target mix proportion design results at each stage of material preparation, the proportion and quantity of aggregate preparation for the next stage can be managed; simultaneously, a method for mitigating gradation variations caused by aggregate variation is proposed, and a method system is presented to ensure that the dynamic design results can effectively represent the actual composition of the incoming aggregate. Attached Figure Description

[0019] Figure 1 This is a flowchart illustrating the dynamic design method for the target mix proportion of asphalt mixtures throughout the entire process, as per the present invention.

[0020] Figure 2 This is a comprehensive target gradation curve diagram of the target mix proportion of asphalt mixture in this invention. Detailed Implementation

[0021] like Figure 1 As shown, the present invention provides a dynamic design method for asphalt mixture mix proportions throughout the entire process, comprising the following steps:

[0022] Step 1: Sample various sizes of aggregates from the quarry to determine the initial blending ratio of each size. Prepare materials according to this ratio. While feeding the aggregates, conduct sieving tests, record and organize the results of each sieving test, until the asphalt mixture mix proportion is 5%-10% of the total mix proportion. Design the target mix proportion in the early stage of material preparation. Based on the sieving monitoring results in the early stage of material preparation, design the target mix proportion. Obtain multiple gradation curves using numerical methods. Optimize the gradation based on relevant parameter indicators. Guided by the correlation between the volumetric index of asphalt mixture and the road performance of the mixture, select the gradation with the best road performance. Use the optimal gradation curve as the target mix proportion in the early stage of material preparation.

[0023] Step Two: Determine the feed ratio of each specification of ore in the next stage based on the target mix ratio, until the material preparation reaches 60%-70% of the estimated total. Following the design process of the early stage of material preparation, obtain the target mix ratio for the middle stage of material preparation. Based on the percentage of ore prepared in the early and middle stages, obtain the comprehensive target mix ratio for both stages. Use this ratio to guide the feed ratio of each specification of ore in the next stage, until the material preparation reaches 100%. Screening monitoring tests are conducted simultaneously with feeding. Finally, conduct dynamic design of the target mix ratio for the later stage of material preparation. Design the target mix ratio based on the screening results, following the same process as the target mix ratio design in the middle stage of material preparation, to obtain the target mix ratio design result for the later stage of material preparation. Based on the screening results, the target mix design is as follows: [a*m / (m+n)+f*n / (m+n)]:[b*m / (m+n)+g*n / (m+n)]:[c*m / (m+n)+h*n / (m+n)]:[d*m / (m+n)+i*n / (m+n)]:[e*m / (m+n)+j*n / (m+n)]; where m and n are the percentages of the mass of the prepared materials at the end of the early and middle stages, respectively, relative to the total mass of the prepared materials; a, b, c, d, and e are the percentages of the mass of each specification of ore after the initial gradation and selection at the beginning of the preparation process; and f, g, h, i, and j are the percentages of the mass of each specification of ore in the early and middle stages of the preparation process. Based on the percentages of the raw materials prepared in the early and middle stages, the overall target mix ratio for the early and middle stages is obtained as f:g:h:i:j:…, where f, g, h, i, and j are the mass percentages of each specification of raw material prepared in the early and middle stages, in percentages (%).

[0024] Adjustments are made based on the target mix proportion to obtain the target mix proportion design result in the later stage of material preparation, which is v:w:x:y:z:…, where parameters v, w, x, y, and z are the mass percentages of each grade of mineral material after the gradation adjustment in the later stage of material preparation, in percentages (%).

[0025] Step 3: Combining the percentages of material preparation in the early, middle, and late stages, calculate the target mix proportion for the entire material preparation process. Use this result as the final target mix proportion design result, and then determine the optimal asphalt content to complete the dynamic design of the target mix proportion throughout the entire process. The target mix proportion for the entire material preparation process is [a*m+f*n+v*(1-mn)]:[b*m+g*n+w*(1-mn)]:[c*m+h*n+x*(1-mn)]:[d*m+i*n+y*(1-mn)]:[e*m+j*n+z*(1-mn)]; where m and n are the percentages of the mass of the prepared material at the end of the early and middle stages, respectively, relative to the total prepared material mass; a, b, c, d, and e are the percentages of the mass of each grade of aggregate after the initial gradation selection in the early stage of material preparation; v, w, x, y, and z are the percentages of the mass of each grade of aggregate after the gradation adjustment in the later stage of material preparation.

[0026] The distinction between the early, middle, and late stages is based on the material preparation process. The early stage ends when the material preparation quality accounts for 5%-10% of the total quality. The middle stage begins when the material preparation quality reaches 60%-70% of the total quality. The late stage begins when the material preparation quality accounts for 70% to 100% of the total quality.

[0027] Example

[0028] The dynamic design method for the target mix proportion of asphalt mixture in this embodiment includes the following steps:

[0029] 1.1 Preliminary Design of Target Mix Proportion

[0030] In order to determine the feeding ratio of each specification of ore in the early stage of material preparation, samples of each specification of ore were taken from quarries suitable as material sources for related projects, and a preliminary design of the target mix ratio was carried out to obtain the blending ratio of each specification of ore. The material preparation was then adjusted according to the ratio.

[0031] 1.2 Target mix design before, during and after material preparation

[0032] Preliminary material preparation is carried out based on the initially determined material preparation ratio until the amount of incoming ore is close to 5%-10% of the estimated total amount of ore. Screening monitoring tests are conducted simultaneously with the arrival of the ore. Based on the screening monitoring results of various ore specifications on site, the target mix design is carried out. Five gradation curves are obtained using numerical methods. The optimal gradation curve is selected as the target mix ratio for the initial material preparation through optimization indicators. At the same time, the blending ratio of each aggregate specification is obtained, and subsequent material preparation is carried out according to this ratio.

[0033] Based on the blending ratios of various mineral materials determined by the dynamic design of the target mix ratio in the early stage of material preparation, intermediate material preparation is carried out, with the quantity of prepared materials accounting for 50%-60% of the estimated total amount of mineral materials. Grading optimization is performed using the same process to obtain the blending ratios of each mineral material specification prepared in the intermediate stage. Then, combining the material preparation percentages from the early and intermediate stages, the comprehensive blending ratios of each mineral material specification in the early and intermediate stages are calculated, and these ratios guide subsequent material preparation.

[0034] Based on the comprehensive blending ratio of various specifications of ore in the early and middle stages of material preparation, the later stage of material preparation is carried out until 100% of the material is prepared, with the amount of material prepared in the later stage accounting for 30%-40% of the estimated total amount of ore. The gradation optimization of the ore prepared in the later stage is carried out according to the same process, and the blending ratio of each specification of ore prepared in the later stage is obtained.

[0035] 1.3 Determination of Dynamic Target Mix Design Results Throughout the Process

[0036] Combining the material preparation percentages and mix proportions before, during, and after the preparation process, the target mix proportion of asphalt mixture is calculated for the entire preparation process. Simultaneously, the blending ratio of each aggregate specification is determined throughout the process. Based on this overall mix proportion design result, the optimal asphalt content is determined. Road performance verification is then conducted. If it passes, subsequent production mix proportion design is based on the target mix proportion design result for the entire asphalt mixture. The technical flow chart of the dynamic design method for the entire target mix proportion process is shown below. Figure 1 As shown.

[0037] This paper analyzes and illustrates the design process of the dynamic design method for the entire process of target mix proportion design by combining it with an engineering project example. Based on a highway construction project, the dynamic design of the target mix proportion throughout the material preparation process was carried out through relevant experiments.

[0038] 2.1 Material preparation process design

[0039] The asphalt concrete surface layer of a highway construction project uses AC-20 gradation, with aggregate sizes of 15-25mm, 10-15mm, 5-10mm, and 0-5mm. Screening tests were conducted on the incoming aggregates at four different stages, with the corresponding percentages for each stage being: preliminary design and early stage of aggregate preparation (10%); mid-stage of aggregate preparation (55%); and late stage of aggregate preparation (35%). By designing and calculating the target mix proportions for the aggregates at each of the four stages according to the process flow, the final target mix proportion can be obtained.

[0040] 2.2 Example Flowchart of the Full-Process Dynamic Design Method

[0041] 2.2.1 Preliminary Design of Target Mix Proportion

[0042] (1) Sampling and screening tests were conducted at the quarry.

[0043] Screening tests were conducted on ore samples taken from the quarry. The average screening pass rate of the ore is shown in the table below:

[0044] Table 1. Average passing rate of quarry sampled ore through screening.

[0045]

[0046]

[0047] (2) Preliminary plan for mineral preparation

[0048] Using the AC-20 median gradation given in the standard as the target gradation, the blending ratio of each aggregate specification was calculated using a numerical solution method. After adjustment, the blending ratios of the four aggregate specifications with mineral powder were obtained as follows:

[0049] 15-25:10-15:5-10:0-5:mineral powder = 25%:16%:28%:25%:6%. Feeding can be guided according to this ratio until the material is prepared to 10% of the estimated total.

[0050] 2.2.2 Target mix design before, during and after material preparation

[0051] (1) Target mix design in the early stage of material preparation

[0052] In the initial stage of material preparation, 10% of the raw materials were prepared. Based on the results of sieve analysis tests, a target mix design was carried out. Five gradation curves were obtained by adjusting the blending ratio for gradation optimization. The optimal gradation curve was selected as the target mix proportion based on relevant indicators. The optimization indicators mainly included optimal asphalt content, void ratio (VV), aggregate void ratio (VMA), effective asphalt saturation (VFA), dynamic stability (MS), and flow value (0.1 mm). Related tests were conducted based on the gradation optimization indicators, and the results are shown in Table 2: Table 2: Test Results of Gradation Optimization Indicators.

[0053]

[0054] Based on the results in the table, a comprehensive optimization was performed, and grade 3 was determined as the optimal target mix ratio for the initial stage of material preparation. The corresponding blending ratio of each grade of ore is 15-25:10-15:5-10:0-5:mineral powder = 17%:15%:23%:40%:5%.

[0055] (2) Determination of the medium-term material preparation plan

[0056] Based on the blending ratios of various ore grades determined in the initial preparation phase, the subsequent intermediate preparation ratios can be determined to address any waste or shortage of ore. The feed rate is adjusted using the initial blending ratios of various ore grades as a reference until the prepared feed reaches 65% of the estimated total for the entire process.

[0057] (3) Mid-term target mix design for material preparation

[0058] The raw materials prepared in the middle stage account for 55% of the entire process. Analogous with the target mix design in the early stage, the numerical solution method is still used to design the target mix and optimize the gradation. The optimal gradation curve is selected as the target mix for the middle stage of raw material preparation. Finally, the optimal blending ratio of 15-25:10-15:5-10:0-5: mineral powder is 25%:16%:25%:28%:6%.

[0059] (4) Determination of the material preparation plan in the later stage

[0060] The initial material preparation accounts for 10% of the estimated total process, and the intermediate material preparation accounts for 55%. Based on the percentages of material preparation in the early and intermediate stages, the comprehensive blending ratio of various specifications of ore in the early and intermediate stages of material preparation is calculated as follows:

[0061] 15-25mm aggregate:

[0062] 10-15mm aggregate:

[0063] 5-10mm aggregate:

[0064] 0-5mm aggregate:

[0065] Mineral powder: I = 100% - XYZH = 5%

[0066] For the final stage of subsequent material preparation, the feed should be adjusted with reference to the ratio of 15-25:10-15:5-10:0-5:mineral powder = 24%:16%:25%:30%:5% until the material preparation reaches 100%.

[0067] (5) Design of target mix proportions in the later stage of material preparation

[0068] The raw materials prepared in the later stage account for 35% of the whole process. The target mix design is carried out using numerical solution method. After gradation optimization, the optimal gradation is selected as the target mix ratio in the later stage of raw material preparation. The optimized ratio of 15-25:10-15:5-10:0-5:mineral powder is 19%:20%:28%:28%:5%.

[0069] (6) Determination of the comprehensive blending ratio of mineral materials throughout the entire process

[0070] The blending ratios of various ore specifications have been obtained for the early, middle, and late stages of material preparation. Based on the percentage of material preparation at each stage (10% for the early stage, 55% for the middle stage, and 35% for the late stage), the overall blending ratio of ore throughout the entire process is calculated.

[0071] 15-25mm aggregate: X = 17% × 0.1 + 25% × 0.55 + 19% × 0.35 = 22%

[0072] 10-15mm aggregate: Y = 15% × 0.1 + 16% × 0.55 + 20% × 0.35 = 17%

[0073] 5-10mm aggregate: Z = 23% × 0.1 + 25% × 0.55 + 28% × 0.35 = 26%

[0074] 0-5mm aggregate: H = 40% × 0.1 + 28% × 0.55 + 28% × 0.35 = 29%

[0075] Mineral powder: I = 100% - XYZH = 6%

[0076] The overall target gradation curve obtained according to this blending ratio is shown below. Figure 2 The target gradation is within the upper and lower limits required by the specification, and thus meets the specification requirements.

[0077] (7) Determination of the optimal asphalt content

[0078] The optimal asphalt content was determined based on the comprehensive target gradation. The asphalt content was estimated based on the optimal gradation determined in the three stages, using 4.5% as the baseline, ±5% and ±10% respectively, resulting in five sets of asphalt contents. Marshall specimens were molded to determine the bulk density, and the void fraction (VV), aggregate void ratio (VMA), and effective asphalt content (VFA) volumetric parameters were calculated.

[15] The Marshall stability and flow value were measured, and the experimental results are summarized below:

[0079] Table 3. Relevant test results for determining the optimal asphalt content.

[0080]

[0081] Based on the test results, the average value of OAC1 and OAC2 was determined to be the optimal asphalt content: 4.8%.

[0082] 2.2.3 Road Performance Verification

[0083] The determined overall target mix proportion is: 15-25:10-15:5-10:0-5; the mineral powder blending ratio is 19%:20%:28%:28%:5%; and the optimal asphalt content is 4.8%. Performance testing of the mixture is required according to specifications. This includes water stability testing, high-temperature stability testing, and water permeability testing. The water stability testing includes the immersion Marshall stability test and freeze-thaw splitting test, while the high-temperature stability test is the rutting test. The test results are summarized below:

[0084] Table 4 Summary of Performance Test Results

[0085]

[0086]

[0087] The mix design results obtained by the dynamic design method of the target mix proportion throughout the whole process, and the test results show that when the optimal asphalt content of AC-20 asphalt mixture is 4.8%, the road performance such as water damage resistance and high temperature stability meet the requirements. The target mix design results can be used for the debugging of production mix proportions.

[0088] The above description is only a preferred embodiment of the present invention and is not intended to limit the implementation of the present invention. Those skilled in the art can easily make corresponding modifications or alterations based on the main concept and spirit of the present invention. Therefore, the scope of protection of the present invention should be determined by the scope of protection claimed in the claims.

Claims

1. A method for dynamic design of asphalt mixture proportioning throughout the whole process, characterized in that, It comprises the following steps: Step one, sampling of each specification of mineral aggregate from quarry, determining the initial blending ratio of each specification of mineral aggregate, carrying out the preliminary preparation of materials according to the ratio, carrying out the screening test on the incoming mineral aggregate at the same time, recording and organizing the screening result of each time until 5%-10% of the whole process of preparation to asphalt mixture proportioning; carrying out the target mixture proportioning design in the preliminary preparation period, carrying out the target mixture proportioning design according to the screening monitoring result in the preliminary preparation period, obtaining a plurality of grading curves according to the numerical solution method, selecting the best road performance according to the correlation between the related parameter index and the road performance of the asphalt mixture, and selecting the optimal grading curve as the target mixture proportioning in the initial preparation period; Step two, determining the feeding ratio of each specification of mineral aggregate in the next stage according to the target mixture proportioning until 60%-70% of the whole process of preparation; obtaining the target mixture proportioning in the middle preparation period according to the design process in the preliminary preparation period, obtaining the comprehensive target mixture proportioning in the preliminary and middle periods according to the percentage of the prepared mineral aggregate in the preliminary and middle periods, and guiding the ratio of each specification of mineral aggregate in the next stage according to the ratio until the preparation is 100%, and carrying out the screening monitoring test at the same time; finally, carrying out the dynamic design of the target mixture proportioning in the later preparation period, carrying out the target mixture proportioning design according to the screening result, and the process is the same as the target mixture proportioning design process in the middle preparation period, and the target mixture proportioning design result in the later preparation period is obtained; Step three, combining the preparation percentages in the preliminary, middle and later preparation periods, calculating the target mixture proportioning in the whole preparation process, taking the result as the final target mixture proportioning design result, determining the optimal asphalt content, and completing the dynamic design of the whole process of target mixture proportioning; In step three, the target mixture proportioning in the whole preparation process is [a*m+f*n+v*(1-m-n)]: [b*m+g*n+w*(1-m-n)]: [c*m+h*n+x*(1-m-n)]: [d*m+i*n+y*(1-m-n)]: [e*m+j*n+z*(1-m-n)]; wherein, m and n are the percentages of the mass of the prepared materials at the end of the preliminary and middle periods to the total mass of the prepared materials; a, b, c, d and e are the mass percentages of each specification of mineral aggregate after the initial grading selection in the initial preparation period; v, w, x, y and z are the mass percentages of each specification of mineral aggregate after the grading adjustment in the later preparation period.

2. The method of claim 1, wherein the method further comprises: In step two, the comprehensive target mixture proportioning in the preliminary and middle periods is f:g:h:i:j:… according to the percentages of the prepared mineral aggregate in the preliminary and middle periods, and f, g, h, i and j are the mass percentages of each specification of mineral aggregate in the preliminary and middle preparation periods, and the unit is %.

3. The method of claim 1, wherein the method further comprises: In step two, the target mix design is determined according to the screening result, which is [a*m / (m+n)+f*n / (m+n)]: [b*m / (m+n)+g*n / (m+n)]: [c*m / (m+n)+h*n / (m+n)]: [d*m / (m+n)+i*n / (m+n)]: [e*m / (m+n)+j*n / (m+n)], wherein m and n are the percentages of the mass of the raw materials at the beginning and at the end of the middle stage, respectively; a, b, c, d, and e are the percentages of the mass of each size of the raw materials at the beginning; and f, g, h, i, and j are the percentages of the mass of each size of the raw materials in the middle stage.

4. The method of claim 1, wherein the method further comprises: In step two, the target mix design is determined according to the screening result, which is [a*m / (m+n)+f*n / (m+n)]: [b*m / (m+n)+g*n / (m+n)]: [c*m / (m+n)+h*n / (m+n)]: [d*m / (m+n)+i*n / (m+n)]: [e*m / (m+n)+j*n / (m+n)], wherein m and n are the percentages of the mass of the raw materials at the beginning and at the end of the middle stage, respectively; a, b, c, d, and e are the percentages of the mass of each size of the raw materials at the beginning; and f, g, h, i, and j are the percentages of the mass of each size of the raw materials in the middle stage.

5. The method of claim 1, wherein the method further comprises: The division of the beginning, middle, and end stages is based on the progress of the raw materials, wherein the beginning stage ends when the mass of the raw materials accounts for 5%-10% of the total mass, the middle stage is from the end of the beginning stage to when the mass of the raw materials accounts for 60%-70% of the total mass, and the end stage is from when the mass of the raw materials accounts for 70% to 100% of the total mass.

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