Method and system for synthesizing and grading concrete whole aggregate

Abstract

The invention belongs to the technical field of concrete mix proportion design, and particularly relates to a concrete all-aggregate synthesis grading method and system. The method comprises the following steps: acquiring a first sample to be detected and a second sample to be detected; performing a screening test and proportion blending on the broken stones in the first to-be-tested sample to obtain accumulated screen residue data of the continuous fraction broken stones, and performing a screening test on the sand in the second to-be-tested sample to obtain accumulated screen residue data of the sand; all aggregates are obtained, grading data fitting is carried out, and the passing rate of the all aggregates is obtained; the whole aggregate is composed of sand and gravel; and drawing a particle size distribution curve according to the passing rate of the whole aggregate to obtain a non-uniformity coefficient and a curvature coefficient. According to the method, the non-uniformity coefficient, the curvature coefficient and the grading formula process characteristic parameters are introduced into concrete whole aggregate grading control to serve as indexes for quantitatively judging the quality of the whole aggregate synthesis grading, so that the evaluation dimension is increased, and the control of the whole aggregate synthesis grading is more standardized and scientific.

Description

Technical Field

[0001] The present invention belongs to the technical field of concrete mix design, and in particular relates to a method and system for synthetic grading of all concrete aggregates. Background Art

[0002] When designing the concrete mix ratio, it is necessary to select all the aggregates (crushed stone + sand) according to the requirements of the standard specifications and design documents for the concrete working performance, mechanical properties and durability of the concrete structure. This selection needs to be implemented according to the specifications, but the method of grading according to the existing specifications has the following deficiencies or defects:

[0003] First, the existing specifications only stipulate the grading indicators of crushed stone and sand separately ("Pebble and crushed stone for construction" (GB / T 14685-2022), "Sand for construction" (GB / T 14684-2022)), but do not define the overall grading as a whole, resulting in insufficient accuracy and scientific rationality in grading evaluation;

[0004] 2. The existing specifications (Article 5.4 of "Ordinary Concrete Mix Design Code" (JGJ 55-2011)) place too much emphasis on the design experience or work experience of the same material mix for the selection of concrete sand ratio. The recommended values ​​of sand ratio given in the specifications are relatively broad. For those who lack historical data or design experience, it is difficult to find a suitable sand ratio in a short period of time. Concrete mixes that do not meet the requirements of the specifications in terms of strength, workability and durability frequently occur. It is necessary to adjust the design many times to find a suitable concrete sand ratio, which wastes manpower and material resources and delays the construction period.

[0005] 3. Even though the final concrete mix ratio meets the requirements of the specifications, the full performance value of the material may not be fully utilized (for example, the skeleton function of aggregates requires that the aggregates have a lower porosity to be fully utilized, and the wrapping, bonding, and flow functions of cementitious materials such as cement and fly ash require that the aggregates have a lower porosity to be utilized), which may lead to potential cost losses. Multiple mix ratio optimizations that may be required in the later stage further increase the workload of the test personnel, resulting in excessive loss of initial labor and time costs.

[0006] In view of this, a design or technical improvement is now proposed to solve the above problems. Summary of the invention

[0007] In view of the above problems, the present disclosure provides a method for synthesizing gradation of all aggregates of concrete, the method comprising repeating the following steps:

[0008] Obtain a first sample to be tested and a second sample to be tested;

[0009] Performing screening tests and proportion blending on the crushed stones in the first sample to be tested to obtain cumulative screening residue data of the crushed stones of continuous particle sizes, and performing screening tests on the sand in the second sample to be tested to obtain cumulative screening residue data of the sand;

[0010] Obtaining whole aggregate, and fitting gradation data to obtain the passing rate of whole aggregate; the whole aggregate is composed of sand and crushed stone;

[0011] According to the passing rate of the whole aggregate, the particle size distribution curve is drawn to obtain the unevenness coefficient and the curvature coefficient, and the gradation equation is fitted by the nonlinear least square method to obtain the first characteristic parameter and the second characteristic parameter of the gradation equation;

[0012] When the unevenness coefficient is greater than the first preset value, the curvature coefficient is within the second preset value range, the first characteristic parameter of the gradation equation is less than the third preset value and the second characteristic parameter of the gradation equation is within the fourth preset value range, the loop ends and the composite gradation of the whole aggregate is determined by the unevenness coefficient, the curvature coefficient, the first characteristic parameter of the gradation equation and the second characteristic parameter of the gradation equation.

[0013] Preferably, the crushed stones in the first sample to be tested are subjected to screening test and proportion blending to obtain the cumulative screening residue data of the crushed stones of continuous particle size, including:

[0014] Perform a screening test on the crushed stones in the first sample to be tested to obtain the cumulative screening residue data of the crushed stones of a single particle size;

[0015] Based on the cumulative screening residue data of single-particle grade crushed stones, multiple single-particle grade crushed stones are proportionally blended to obtain the cumulative screening residue data of continuous-particle grade crushed stones.

[0016] Preferably, based on the accumulated screening residue data of single-particle crushed stones, multiple single-particle crushed stones are proportionally blended to obtain accumulated screening residue data of continuous-particle crushed stones, including:

[0017] Determine the blending ratio of various single-grained crushed stones;

[0018] Calculate the blending ratio of multiple single-particle size crushed stones based on the cumulative residues of crushed stones of consecutive particle sizes on each sieve.

[0019] Preferably, obtaining the whole aggregate and performing gradation data fitting to obtain the passing rate of the whole aggregate includes:

[0020] Determine the sand ratio in the total aggregate;

[0021] Based on the sand ratio, the cumulative screening data of sand and the cumulative screening data of continuous graded crushed stone, the cumulative screening data of all aggregates are obtained;

[0022] Based on the cumulative screening residue data of whole aggregate, the passing rate of whole aggregate is determined.

[0023] Preferably, a particle size distribution curve is drawn according to the passing rate of the whole aggregate to obtain the unevenness coefficient and the curvature coefficient, including:

[0024] Obtaining the particle size value of the third pass rate and the particle size value of the first pass rate on the particle size distribution curve to determine the non-uniformity coefficient;

[0025] The particle size value of the second pass rate, the particle size value of the third pass rate, and the particle size value of the first pass rate of the particle size distribution curve are obtained to determine the curvature coefficient.

[0026] The present disclosure also provides a system for synthetic grading of all aggregates of concrete, the system comprising:

[0027] An acquisition module, used for acquiring a first sample to be tested and a second sample to be tested;

[0028] The test module is used to perform screening test and proportion blending on the gravel in the first sample to be tested to obtain the cumulative screening residue data of the gravel of continuous particle size, and to perform screening test on the sand in the second sample to be tested to obtain the cumulative screening residue data of the sand;

[0029] A data fitting module is used to obtain the whole aggregate and perform gradation data fitting to obtain the passing rate of the whole aggregate; the whole aggregate is composed of sand and crushed stone;

[0030] A module is obtained, which is used to draw a particle size distribution curve according to the passing rate of the whole aggregate, obtain the unevenness coefficient and the curvature coefficient, and perform nonlinear least squares fitting on the gradation equation to obtain the first characteristic parameter of the gradation equation and the second characteristic parameter of the gradation equation;

[0031] A determination module is used to end the loop when the unevenness coefficient is greater than a first preset value, the curvature coefficient is within a second preset value range, the first characteristic parameter of the gradation equation is less than a third preset value, and the second characteristic parameter of the gradation equation is within a fourth preset value range, and determine the synthetic gradation of the whole aggregate through the unevenness coefficient, the curvature coefficient, the first characteristic parameter of the gradation equation, and the second characteristic parameter of the gradation equation.

[0032] Preferably, the test module is used to perform screening test and proportion blending on the gravel in the first sample to be tested to obtain the cumulative screening residue data of the gravel of continuous particle size, including:

[0033] The test module is used to perform a screening test on the gravel in the first sample to be tested, and obtain the cumulative screening residue data of multiple single-grain grade gravel;

[0034] Based on the cumulative screening residue data of single-particle grade crushed stones, multiple single-particle grade crushed stones are proportionally blended to obtain the cumulative screening residue data of continuous-particle grade crushed stones.

[0035] Preferably, based on the accumulated screening residue data of single-particle crushed stones, multiple single-particle crushed stones are proportionally blended to obtain accumulated screening residue data of continuous-particle crushed stones, including:

[0036] Determine the blending ratio of various single-grained crushed stones;

[0037] Calculate the blending ratio of multiple single-particle size crushed stones based on the cumulative residues of crushed stones of consecutive particle sizes on each sieve.

[0038] Preferably, the data fitting module is used to obtain the whole aggregate and perform gradation data fitting to obtain the pass rate of the whole aggregate, including:

[0039] The data fitting module is used to determine the sand ratio in the whole aggregate;

[0040] Based on the sand ratio, the cumulative screening data of sand and the cumulative screening data of continuous graded crushed stone, the cumulative screening data of all aggregates are obtained;

[0041] Based on the cumulative screening residue data of whole aggregate, the passing rate of whole aggregate is determined.

[0042] Preferably, a module is obtained for drawing a particle size distribution curve according to the passing rate of the whole aggregate to obtain the unevenness coefficient and the curvature coefficient, including:

[0043] The obtaining module is used to obtain the particle size value of the third pass rate and the particle size value of the first pass rate on the particle size distribution curve, and determine the non-uniformity coefficient;

[0044] The particle size value of the second pass rate, the particle size value of the third pass rate, and the particle size value of the first pass rate of the particle size distribution curve are obtained to determine the curvature coefficient.

[0045] The present disclosure has the following beneficial effects:

[0046] The present invention introduces the non-uniformity coefficient Cu, the curvature coefficient Cc, and the characteristic parameters a and n of the gradation equation into the gradation control of all aggregates of concrete as indicators for quantitatively judging the quality of the synthetic gradation of all aggregates, thereby increasing the evaluation dimension and making the control of the synthetic gradation of all aggregates more standardized and scientific.

[0047] Other features and advantages of the present disclosure will be described in the following description, and partly become apparent from the description, or be understood by implementing the present disclosure. The purpose and other advantages of the present disclosure can be realized and obtained by the structures indicated in the description and the drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] In order to more clearly illustrate the embodiments of the present disclosure or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present disclosure. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0049] Figure 1 A diagram showing a method for synthesizing gradation of all aggregates of concrete in an embodiment of the present disclosure;

[0050] Figure 2 A system diagram showing the all-aggregate composite gradation of concrete in an embodiment of the present disclosure. DETAILED DESCRIPTION

[0051] Example embodiments will now be described more fully with reference to the accompanying drawings. However, example embodiments can be implemented in a variety of forms and should not be construed as being limited to the examples set forth herein; on the contrary, these embodiments are provided so that the present disclosure will be more comprehensive and complete, and the concepts of the example embodiments are fully conveyed to those skilled in the art. The described features, structures, or characteristics may be combined in one or more embodiments in any suitable manner. In the following description, many specific details are provided to provide a full understanding of the embodiments of the present disclosure. However, those skilled in the art will appreciate that the technical solutions of the present disclosure may be practiced while omitting one or more of the specific details, or other methods, components, devices, steps, etc. may be adopted. In other cases, known technical solutions are not shown or described in detail to avoid obscuring various aspects of the present disclosure.

[0052] In addition, the accompanying drawings are only schematic illustrations of the present disclosure and are not necessarily drawn to scale. The same reference numerals in the figures represent the same or similar parts, and thus their repeated description will be omitted. Some of the block diagrams shown in the accompanying drawings are functional entities and do not necessarily correspond to physically or logically independent entities. These functional entities can be implemented in software form, or implemented in one or more hardware units or integrated circuits, or implemented in different networks and / or processor devices and / or microcontroller devices.

[0053] The flowcharts shown in the accompanying drawings are only exemplary and do not necessarily include all the steps. For example, some steps may be decomposed, while some steps may be combined or partially combined, so the actual execution order may change according to the actual situation.

[0054] The terms "first", "second", etc. in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the terms used in this way can be interchanged where appropriate, so that the embodiments of the present application described herein can be implemented in an order other than those illustrated or described herein, for example.

[0055] In addition, the terms "include" and "have" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product, or apparatus comprising a series of steps or sub-modules is not necessarily limited to those steps or sub-modules explicitly listed, but may include other steps or sub-modules not explicitly listed or inherent to these processes, methods, products, or apparatuses.

[0056] like Figure 1 As shown, the present disclosure provides a method for synthetic grading of all aggregates of concrete, the method comprising repeating the following steps:

[0057] Obtain a first sample to be tested and a second sample to be tested;

[0058] Performing screening tests and proportion blending on the crushed stones in the first sample to be tested to obtain cumulative screening residue data of the crushed stones of continuous particle sizes, and performing screening tests on the sand in the second sample to be tested to obtain cumulative screening residue data of the sand;

[0059] Obtaining whole aggregate, and fitting gradation data to obtain the passing rate of whole aggregate; the whole aggregate is composed of sand and crushed stone;

[0060] According to the passing rate of the whole aggregate, the particle size distribution curve is drawn to obtain the unevenness coefficient and the curvature coefficient, and the gradation equation is fitted by the nonlinear least square method to obtain the first characteristic parameter and the second characteristic parameter of the gradation equation;

[0061] When the unevenness coefficient is greater than the first preset value, the curvature coefficient is within the second preset value range, the first characteristic parameter of the gradation equation is less than the third preset value and the second characteristic parameter of the gradation equation is within the fourth preset value range, the loop ends and the composite gradation of the whole aggregate is determined by the unevenness coefficient, the curvature coefficient, the first characteristic parameter of the gradation equation and the second characteristic parameter of the gradation equation.

[0062] In this embodiment, the first preset value is 5, the second preset value range is 1-3, the third preset value is 7, and the fourth preset range is 0.1-0.5. Each preset value is not unique and can be set according to actual conditions.

[0063] Specifically, the crushed stones in the first sample to be tested are subjected to screening tests and proportion blending to obtain the cumulative screening residue data of the crushed stones of continuous particle sizes, including:

[0064] Perform a screening test on the crushed stones in the first sample to be tested to obtain the cumulative screening residue data of the crushed stones of a single particle size;

[0065] Based on the cumulative screening residue data of single-particle grade crushed stones, multiple single-particle grade crushed stones are proportionally blended to obtain the cumulative screening residue data of continuous-particle grade crushed stones.

[0066] In this embodiment, the screening test of the crushed stone in the first sample to be tested refers to the sampling method in 7.1.2, sample processing in 7.1.3 and test steps in 7.3.2 of "Pebbles and Crushed Stones for Construction" (GB / T 14685-2022), and the result calculation and evaluation are in accordance with 7.3.3, and finally the cumulative screening residue data of single-particle grade crushed stone are obtained;

[0067] The screening test of the sand in the second sample to be tested refers to Section 7.1.2 Sampling Method, 7.1.3 Sample Processing and 7.3.2 Test Procedures of "Construction Sand" (GB / T 14684-2022). The result calculation follows Section 7.3.3, and finally the cumulative sieve residue data of the sand is obtained.

[0068] Specifically, based on the cumulative screening data of single-particle crushed stones, multiple single-particle crushed stones are proportionally blended to obtain the cumulative screening data of continuous-particle crushed stones, including:

[0069] Determine the blending ratio of various single-grained crushed stones;

[0070] Calculate the blending ratio of multiple single-particle size crushed stones based on the cumulative residues of crushed stones of consecutive particle sizes on each sieve.

[0071] In this embodiment, based on the accumulated residual data of single-grain crushed stones, multiple single-grain crushed stones are proportionally blended to obtain accumulated residual data of continuous-grain crushed stones, which specifically includes the following steps:

[0072] Step 1: Assume the blending ratio of each single particle size crushed stone

[0073] Assume that the target continuous particle size of 5-31.5mm crushed stone is composed of three single particle size crushed stones of 5-10mm, 10-20mm and 16-31.5mm. Affected by production and processing, there may be multiple blending ratios of single particle size crushed stones, so that the cumulative screening residue of the continuous particle size of 5-31.5mm crushed stone meets the requirements of the particle size distribution in Table 1. For example, 2:5:3 (i.e., 5-10mm accounts for 20% of the mass after synthesis, 10-20mm accounts for 50% of the mass after synthesis, and 16-31.5mm accounts for 30% of the mass after synthesis), or 2:4:4.

[0074] Step 2: Calculate the cumulative residue of the continuous particle size of each sieve

[0075] The selection of sieves refers to Section 7.3.1 Instruments and Equipment of Pebbles and Crushed Stones for Construction (GB / T 14685-2022). The apertures of the sieves are: 90mm, 75.0mm, 63.0mm, 53.0mm, 37.5mm, 31.5mm, 26.5mm, 19.0mm, 16.0mm, 9.50mm, 4.75mm and 2.36mm.

[0076] Assuming that the synthesis ratio is 2:5:3, and the cumulative residues of 5-10mm, 10-20mm, and 16-31.5mm on a certain sieve are a, b, and c respectively, then the cumulative residue of this sieve is: a*20%+b*50%+c*30%, and the cumulative residues of continuous particle sizes of gravel on other sieves are calculated in turn.

[0077] Table 1

[0078]

[0079] Specifically, obtain the whole aggregate, and perform gradation data fitting to obtain the pass rate of the whole aggregate, including:

[0080] Determine the sand and crushed stone ratios in the total aggregate;

[0081] Based on the sand ratio, crushed stone ratio, the cumulative screening data of sand and the cumulative screening data of continuous particle size crushed stone, the cumulative screening data of all aggregates are obtained;

[0082] Based on the cumulative screening residue data of whole aggregate, the passing rate of whole aggregate is determined.

[0083] In this embodiment, the whole aggregate is obtained, and the gradation data is fitted to obtain the pass rate of the whole aggregate, which specifically includes the following steps:

[0084] Step 1: Assume the sand ratio, such as 36%, 38%, 40%, etc.

[0085] The sand ratio refers to the amount of coarse and fine aggregates in Section 5.5 of "Code for Design of Ordinary Concrete Mix" (JGJ 55-2011). The sand ratio is the percentage of the mass of sand to the total mass of crushed stone and sand.

[0086] Step 2: Calculate the cumulative residue of all aggregate on each sieve (the four sieves of 1.18mm, 0.60mm, 0.30mm and 0.15mm used for the additional sand).

[0087] Assuming the sand ratio is 40%, and the cumulative residues of sand and continuous particle size gravel on a certain sieve are A and B respectively, then the cumulative residue of all aggregates on this sieve is: A*40%+B*60%, and the cumulative residues of other sieves are calculated in turn.

[0088] Step 3: Calculate the pass rate based on the cumulative percentage of residues at each particle size

[0089] Pass rate = 100 - cumulative sieve residue percentage.

[0090] Specifically, the particle size distribution curve is drawn according to the passing rate of the whole aggregate to obtain the unevenness coefficient and curvature coefficient, including:

[0091] Obtaining the particle size value of the third pass rate and the particle size value of the first pass rate on the particle size distribution curve to determine the non-uniformity coefficient;

[0092] The particle size value of the second pass rate, the particle size value of the third pass rate, and the particle size value of the first pass rate of the particle size distribution curve are obtained to determine the curvature coefficient.

[0093] In this embodiment, the particle size distribution curve is drawn with reference to Article 7.2.4 of the "Geotechnical Test Code for Railway Engineering" (TB10102-2023), with the percentage of the mass of samples smaller than a certain particle size in the total mass of the sample as the vertical coordinate and the particle size as the horizontal coordinate, where the horizontal coordinate is a logarithmic coordinate.

[0094] In this embodiment, the first pass rate is 10%, the second pass rate is 30%, and the third pass rate is 60%. The pass rates are not unique and can be set according to actual conditions.

[0095] In this embodiment, the non-uniformity coefficient C u The calculation formula is:

[0096]

[0097] Among them, d 60 Indicates the particle size value at which the passing rate is 60%; d 10 Indicates the particle size value at which the passing rate is 10%;

[0098] Curvature coefficient C c The calculation formula is:

[0099]

[0100] Among them, d 30 Indicates the particle size value at which the passing rate is 30%.

[0101] Obtaining the coefficient of non-uniformity and the coefficient of curvature According to the standard "Engineering Classification Standard for Soil" (GB / T50145-2017), soil includes a mixture of traditional soil, sand, gravel, stone, etc. The standard clearly states that "sand and stone aggregates used in concrete do not belong to the category of soil." However, this disclosure involves a mixture of stone and sand, which can still be used as a reference when conducting gradation analysis. The standard gives the coefficient of non-uniformity C u and the curvature coefficient C c The calculation formula for good gradation is specified: C u >5,1 <Cc <3. The above two indicators are internationally accepted indicators, which can better reflect the shape of gradation curve and the quality of gradation.

[0102] In this embodiment, the calculation formula of the gradation equation is:

[0103]

[0104] Where P is the mass percentage of particles with a particle size less than di; dmax is the maximum particle size under the synthetic gradation; a and n are the characteristic parameters of the gradation equation.

[0105] Through the coefficient of unevenness, the coefficient of curvature, the first characteristic parameter of the gradation equation and the second characteristic parameter of the gradation equation, a mixture of stone and sand in concrete with good density can be obtained. Article 6.2 of the "Standard for Acceptance of Quality of Railway Engineering Construction" (TB 10424-2018) stipulates that the tight void ratio of crushed stone should be ≤40%. The lower tight void ratio can give full play to the skeleton function of the aggregate, which is conducive to improving the mechanical properties and durability. Although too much sand can fill the voids in the crushed stone, it may have a negative effect on the relevant properties of concrete. Therefore, the present disclosure introduces the characteristic parameters of particle gradation and the characteristic parameters of the gradation equation, and aims to obtain a good particle gradation of a mixture of stone and sand by performing reasonable limit control. This kind of particle gradation has the characteristics of reasonable sand ratio, less cement slurry can fill the remaining voids, and the flow properties, mechanical properties and durability of concrete are improved to a considerable extent.

[0106] In this embodiment, a plurality of aggregates meeting the conditional blending ratios are subjected to tight packing density tests respectively, and the group with the largest tight packing density is selected as the optimal blending ratio (only applicable when the prices of sand and stone are relatively low, because the tight packing density is the largest and the amount of sand and stone is also the largest; the concrete mix design in engineering construction needs to comprehensively consider the relevant performance of concrete and the economic cost); the density test refers to the sampling method in 7.1.2, sample processing in 7.1.3 and test steps in "Pebbles and Crushed Stones for Construction" (GB / T 14685-2022) to carry out the tight packing density test of the mixture, and the calculation and evaluation of the results are carried out in accordance with Article 7.14.3.

[0107] like Figure 2 As shown, the present disclosure also proposes a system for synthetic grading of all aggregates of concrete, the system comprising:

[0108] An acquisition module, used for acquiring a first sample to be tested and a second sample to be tested;

[0109] The test module is used to perform screening test and proportion blending on the gravel in the first sample to be tested to obtain the cumulative screening residue data of the gravel of continuous particle size, and to perform screening test on the sand in the second sample to be tested to obtain the cumulative screening residue data of the sand;

[0110] A data fitting module is used to obtain the whole aggregate and perform gradation data fitting to obtain the passing rate of the whole aggregate; the whole aggregate is composed of sand and crushed stone;

[0111] A module is obtained, which is used to draw a particle size distribution curve according to the passing rate of the whole aggregate, obtain the unevenness coefficient and the curvature coefficient, and perform nonlinear least squares fitting on the gradation equation to obtain the first characteristic parameter of the gradation equation and the second characteristic parameter of the gradation equation;

[0112] A determination module is used to end the loop when the unevenness coefficient is greater than a first preset value, the curvature coefficient is within a second preset value range, the first characteristic parameter of the gradation equation is less than a third preset value, and the second characteristic parameter of the gradation equation is within a fourth preset value range, and determine the synthetic gradation of the whole aggregate through the unevenness coefficient, the curvature coefficient, the first characteristic parameter of the gradation equation, and the second characteristic parameter of the gradation equation.

[0113] Those skilled in the art should understand that although the present disclosure is described in detail with reference to the aforementioned embodiments, it is still possible to modify the technical solutions recorded in the aforementioned embodiments, or to make equivalent replacements for some of the technical features therein; and these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present disclosure.

Claims

1. A method for synthesizing gradation of all concrete aggregates, characterized in that: The method comprises repeating the following steps: Obtain a first sample to be tested and a second sample to be tested; Performing screening tests and proportion blending on the crushed stones in the first sample to be tested to obtain cumulative screening residue data of the crushed stones of continuous particle sizes, and performing screening tests on the sand in the second sample to be tested to obtain cumulative screening residue data of the sand; Obtain all aggregates, perform gradation data fitting, and obtain the passing rate of all aggregates; The whole aggregate consists of sand and crushed stone; According to the passing rate of the whole aggregate, the particle size distribution curve is drawn to obtain the unevenness coefficient and the curvature coefficient, and the gradation equation is fitted by the nonlinear least square method to obtain the first characteristic parameter and the second characteristic parameter of the gradation equation; When the unevenness coefficient is greater than the first preset value, the curvature coefficient is within the second preset value range, the first characteristic parameter of the gradation equation is less than the third preset value and the second characteristic parameter of the gradation equation is within the fourth preset value range, the loop ends and the composite gradation of the whole aggregate is determined by the unevenness coefficient, the curvature coefficient, the first characteristic parameter of the gradation equation and the second characteristic parameter of the gradation equation.

2. The method for synthesizing and grading all aggregates of concrete according to claim 1, characterized in that: The crushed stones in the first sample to be tested are subjected to screening tests and proportion blending to obtain the cumulative screening residue data of the crushed stones of continuous particle sizes, including: Perform a screening test on the crushed stones in the first sample to be tested to obtain the cumulative screening residue data of the single-grain grade crushed stones; Based on the cumulative screening residue data of single-particle grade crushed stones, multiple single-particle grade crushed stones are proportionally blended to obtain the cumulative screening residue data of continuous-particle grade crushed stones.

3. The method for synthesizing and grading all aggregates of concrete according to claim 2, characterized in that: Based on the cumulative screening data of single-particle crushed stone, multiple single-particle crushed stones are proportionally blended to obtain the cumulative screening data of continuous-particle crushed stone, including: Determine the blending ratio of various single-grained crushed stones; Calculate the blending ratio of multiple single-particle size crushed stones based on the cumulative residues of crushed stones of consecutive particle sizes on each sieve.

4. The method for synthesizing and grading all aggregates of concrete according to claim 1, characterized in that: Obtain all aggregates and perform gradation data fitting to obtain the passing rate of all aggregates, including: Determine the sand ratio in the total aggregate; Based on the sand ratio, the cumulative screening data of sand and the cumulative screening data of continuous graded crushed stone, the cumulative screening data of all aggregates are obtained; Based on the cumulative screening residue data of whole aggregate, the passing rate of whole aggregate is determined.

5. The method for synthesizing and grading all aggregates of concrete according to claim 1, characterized in that: According to the passing rate of all aggregate, the particle size distribution curve is drawn to obtain the unevenness coefficient and curvature coefficient, including: Obtaining the particle size value of the third pass rate and the particle size value of the first pass rate on the particle size distribution curve to determine the non-uniformity coefficient; The particle size value of the second pass rate, the particle size value of the third pass rate, and the particle size value of the first pass rate of the particle size distribution curve are obtained to determine the curvature coefficient.

6. A system for synthetic grading of all aggregates of concrete, characterized in that: The system comprises: An acquisition module, used for acquiring a first sample to be tested and a second sample to be tested; The test module is used to perform screening test and proportion blending on the gravel in the first sample to be tested to obtain the cumulative screening residue data of the gravel of continuous particle size, and to perform screening test on the sand in the second sample to be tested to obtain the cumulative screening residue data of the sand; A data fitting module is used to obtain the whole aggregate and perform gradation data fitting to obtain the passing rate of the whole aggregate; the whole aggregate is composed of sand and crushed stone; A module is obtained, which is used to draw a particle size distribution curve according to the passing rate of the whole aggregate, obtain the unevenness coefficient and the curvature coefficient, and perform nonlinear least squares fitting on the gradation equation to obtain the first characteristic parameter of the gradation equation and the second characteristic parameter of the gradation equation; A determination module is used to end the loop when the unevenness coefficient is greater than a first preset value, the curvature coefficient is within a second preset value range, the first characteristic parameter of the gradation equation is less than a third preset value, and the second characteristic parameter of the gradation equation is within a fourth preset value range, and determine the synthetic gradation of the whole aggregate through the unevenness coefficient, the curvature coefficient, the first characteristic parameter of the gradation equation, and the second characteristic parameter of the gradation equation.

7. The system for synthetic grading of all aggregates of concrete according to claim 6, characterized in that: The test module is used to perform screening tests and proportion blending on the gravel in the first sample to be tested to obtain the cumulative screening residue data of the gravel of continuous particle size, including: The test module is used to perform a screening test on the crushed stones in the first sample to be tested, and obtain the cumulative screening residue data of the single-grain grade crushed stones; Based on the cumulative screening residue data of single-particle grade crushed stones, multiple single-particle grade crushed stones are proportionally blended to obtain the cumulative screening residue data of continuous-particle grade crushed stones.

8. The system for synthetic grading of all aggregates of concrete according to claim 7, characterized in that: Based on the cumulative screening data of single-grained crushed stone, the single-grained crushed stone is proportionally blended to obtain the cumulative screening data of continuous-grained crushed stone, including: Determine the blending ratio of single-grain crushed stone; Calculate the blending ratio of single-size crushed stone based on the cumulative residues of continuous-size crushed stone on each sieve.

9. The system for synthetic grading of all aggregates of concrete according to claim 6, characterized in that: The data fitting module is used to obtain the whole aggregate and perform gradation data fitting to obtain the pass rate of the whole aggregate, including: The data fitting module is used to determine the sand ratio in the whole aggregate; Based on the sand ratio, the cumulative screening data of sand and the cumulative screening data of continuous graded crushed stone, the cumulative screening data of all aggregates are obtained; Based on the cumulative screening residue data of whole aggregate, the passing rate of whole aggregate is determined.

10. The system for synthetic grading of all aggregates of concrete according to claim 6, characterized in that: Obtaining module, used to draw the particle size distribution curve according to the passing rate of all aggregates, and obtain the unevenness coefficient and curvature coefficient, including: The obtaining module is used to obtain the particle size value of the third pass rate and the particle size value of the first pass rate on the particle size distribution curve, and determine the non-uniformity coefficient; The particle size value of the second pass rate, the particle size value of the third pass rate, and the particle size value of the first pass rate of the particle size distribution curve are obtained to determine the curvature coefficient.

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