Cave slag aggregate high-strength concrete design method, device and equipment and storage medium

Abstract

The invention provides a hole slag aggregate high-strength concrete design method, device and equipment and a storage medium. Relates to the technical field of building materials. The method comprises the following steps: acquiring the length-diameter ratio and circularity of hole slag aggregate, and calculating the fractal dimension of an aggregate contour by adopting a box counting method; generating a grading curve based on the fractal dimension D, and establishing a multivariate accumulation model; the multi-element stacking model takes the aggregate stacking density as an optimization target, iteratively optimizes the proportion of aggregates with different particle sizes through a genetic algorithm, and outputs the proportion of the aggregate with the optimal particle size and the corresponding aggregate stacking density; the aggregate stacking density output by the multivariate stacking model is used as the mass of aggregate in unit cubic meter of concrete; calculating the mass of the slurry according to the mass of the aggregate in the unit cubic meter of concrete and the slurry-to-bone ratio; and solving the mass of the cement, the mass of the water and the mass of the admixture by combining a slurry composition equation, a water-binder ratio formula and an admixture proportion formula.

Description

Technical Field

[0001] This application relates to the field of building materials technology, and in particular to a design method, apparatus, equipment and storage medium for high-strength concrete with slag aggregate. Background Technology

[0002] Traditional quarry slag aggregate, due to its complex particle size and uneven gradation, suffers from low bulk density and insufficient mechanical properties when directly used in high-strength concrete. Existing concrete design codes do not consider the fractal characteristics of aggregate morphology, resulting in unreasonable paste-aggregate ratio and gradation design, manifested as poor fluidity, high porosity, and substandard strength. Summary of the Invention

[0003] This application provides a design method, apparatus, equipment, and storage medium for high-strength concrete using quarry aggregate, to solve at least one of the following technical problems:

[0004] 1. The aggregate from the quarry has many flaky particles and poor particle shape, resulting in low bulk density;

[0005] 2. Traditional gradation design does not quantify aggregate morphology characteristics;

[0006] 3. The relationship between the pulp-to-bone ratio and fluidity is unclear;

[0007] 4. High concrete porosity leads to insufficient strength.

[0008] Firstly, this application provides a design method for high-strength concrete using caving aggregate, comprising:

[0009] The aspect ratio and roundness of the cavitation aggregate were obtained, and the fractal dimension of the aggregate profile was calculated using the box counting method.

[0010] A multivariate packing model is established based on the fractal dimension D to generate a gradation curve. The multivariate packing model takes the aggregate bulk density as the optimization objective and iteratively optimizes the proportion of aggregates of different particle sizes through a genetic algorithm, outputting the proportion of aggregates of the optimal particle size and the corresponding aggregate bulk density.

[0011] The aggregate bulk density output by the multi-element packing model is used as the mass of aggregate in a unit cubic meter of concrete.

[0012] The mass of the paste is calculated based on the mass of aggregate and the paste-aggregate ratio in the concrete per unit cubic meter.

[0013] By combining the slurry composition equation, water-cement ratio formula, and admixture ratio formula, the mass of cement, water, and admixtures can be calculated.

[0014] In one possible design, the fractal dimension of the aggregate profile is calculated using the following formula:

[0015]

[0016] In the formula, D is the fractal dimension, ε is the box side length, and N(ε) is the number of covering boxes.

[0017] In one possible design, the slurry mass is calculated using the following formula:

[0018] M P =M C +M W +M F

[0019] In the formula, M P For the mass of the slurry, M C For cement quality, M W For water quality, M F For the quality of admixtures.

[0020] In one possible design, the water-to-binder ratio formula is expressed as:

[0021]

[0022] In the formula, W / B is the water-to-binder ratio, and M... C For cement quality, M W For water quality, M F For the quality of admixtures.

[0023] In one possible design, the formula for the proportion of the admixture is expressed as:

[0024] M F =α*M C

[0025] In the formula, M F For the quality of the admixture, M C α represents the mass of cement, and α is the mass ratio coefficient of admixtures to cement.

[0026] Secondly, this application provides a design device for high-strength concrete using quarry aggregate, the device comprising:

[0027] The fractal dimension calculation module is configured to obtain the aspect ratio and roundness of the cavitation aggregate and calculate the fractal dimension of the aggregate profile using the box counting method.

[0028] The gradation optimization module is configured to generate gradation curves based on fractal dimension D and establish a multi-element packing model. The multi-element packing model takes aggregate bulk density as the optimization objective and iteratively optimizes the proportion of aggregates of different particle sizes through a genetic algorithm, outputting the proportion of aggregates of the optimal particle size and the corresponding aggregate bulk density.

[0029] The aggregate mass calculation module is configured to use the aggregate bulk density output by the multi-element packing model as the mass of aggregate per cubic meter of concrete.

[0030] The slurry mass calculation module is configured to calculate the slurry mass based on the mass of aggregate and the slurry-aggregate ratio in the unit cubic meter of concrete.

[0031] The mass calculation module is configured to solve for the mass of cement, water, and admixtures by simultaneously solving the slurry composition equation, water-cement ratio formula, and admixture ratio formula.

[0032] Thirdly, embodiments of this application provide an electronic device, including: at least one processor and a memory; the memory stores computer execution instructions; the at least one processor executes the computer execution instructions stored in the memory, causing the at least one processor to execute the design method for high-strength concrete with slag aggregate as described in the first aspect and various possible designs of the first aspect.

[0033] Fourthly, embodiments of this application provide a computer-readable storage medium storing computer-executable instructions. When a processor executes the computer-executable instructions, it implements the design method for high-strength concrete with slag aggregate as described in the first aspect and various possible designs of the first aspect.

[0034] Fifthly, embodiments of this application provide a computer program product, including a computer program that, when executed by a processor, implements the design method for high-strength concrete with slag aggregate as described in the first aspect and various possible designs of the first aspect.

[0035] The design method, apparatus, equipment, and storage medium for high-strength concrete using slag aggregate provided in this application have at least the following beneficial effects:

[0036] 1. Increased strength: C70 concrete reaches a strength of 79.2 MPa after 28 days (compared to 72 MPa using traditional methods);

[0037] 2. Optimized flowability: Slump increased by 9-11 mm;

[0038] 3. Enhanced compactness: Porosity is reduced to 1.2% (1.6% with traditional methods), and the pore size is concentrated below 200μm;

[0039] 4. Improved resource utilization: By using fractal dimension to guide gradation design, the utilization rate of caving muck is increased by 23%. Attached Figure Description

[0040] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this application and, together with the description, serve to explain the principles of this application.

[0041] Figure 1 A detailed flowchart of a design method for high-strength concrete with caving aggregate provided in this application embodiment;

[0042] Figure 2 The gradation curves generated based on the fractal dimension D are provided in the embodiments of this application;

[0043] Figure 3 A flowchart illustrating the application of a design method for high-strength concrete using tunnel slag aggregate in the preparation of C70 tunnel slag high-strength concrete, as provided in this application embodiment;

[0044] Figure 4 The structural diagram of the high-strength concrete design device for caving aggregate provided in the embodiments of this application is shown.

[0045] The accompanying drawings have illustrated specific embodiments of this application, which will be described in more detail below. These drawings and descriptions are not intended to limit the scope of the concept in any way, but rather to illustrate the concept of this application to those skilled in the art through reference to specific embodiments. Detailed Implementation

[0046] Exemplary embodiments will now be described in detail, examples of which are illustrated in the accompanying drawings. When the following description relates to the drawings, unless otherwise indicated, the same numbers in different drawings denote the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with this application. Rather, they are merely examples of apparatuses and methods consistent with some aspects of this application as detailed in the appended claims.

[0047] The collection, storage, use, processing, transmission, provision, and disclosure of financial data or user data involved in the technical solution of this application all comply with the provisions of relevant laws and regulations and do not violate public order and good morals.

[0048] It should be noted that in the embodiments of this application, certain software, components, models and other existing solutions in the industry may be mentioned. These should be regarded as exemplary and are only intended to illustrate the feasibility of implementing the technical solution of this application. However, it does not mean that the applicant has used or necessarily used the solution.

[0049] The technical solution of this application and how it solves the above-mentioned technical problems will be described in detail below with specific embodiments. These specific embodiments can be combined with each other, and the same or similar concepts or processes may not be described again in some embodiments. The embodiments of this application will be described below with reference to the accompanying drawings.

[0050] This application provides a method for designing high-strength concrete using caving aggregate. For example... Figure 1 and Figure 2 As shown, the design method for high-strength concrete using slag aggregate includes the following steps S100-S500.

[0051] S100: Obtain the aspect ratio and roundness of the cavitation aggregate, and calculate the fractal dimension of the aggregate profile using the box counting method.

[0052] In this embodiment, the aspect ratio and roundness of the aggregate can be obtained through two-dimensional image analysis (correlation coefficient with three-dimensional parameters > 0.88), replacing three-dimensional scanning.

[0053] In some embodiments, the fractal dimension D (Equation 1) is calculated using the box counting method, and the roughness is quantified as follows: D for granite / gneiss > D for dolomite / limestone.

[0054]

[0055] In the formula, D is the fractal dimension, ε is the box side length, and N(ε) is the number of covering boxes.

[0056] S200: Based on the fractal dimension D, a gradation curve is generated, and a multivariate packing model is established. The multivariate packing model takes the aggregate packing density as the optimization objective, and iteratively optimizes the proportion of aggregates of different particle sizes through a genetic algorithm, outputting the proportion of the optimal aggregate size and the corresponding aggregate packing density.

[0057] In some embodiments, the gradation curve generated based on the fractal dimension D, such as Figure 2 As shown, the proportion of fine aggregate increases when D increases.

[0058] S300: The aggregate bulk density output by the multi-element packing model is used as the mass of aggregate per cubic meter of concrete.

[0059] In this embodiment, the calculated aggregate bulk density is approximately equivalent to the mass of aggregate per unit cubic meter of concrete. Therefore, the mass of aggregate per unit cubic meter of concrete can be determined by the following formula (2):

[0060] M A =φ·1 (2)

[0061] In the formula, M A It refers to the mass of aggregate in a unit cubic meter of concrete.

[0062] S400: Calculate the mass of the paste based on the mass of aggregate and the paste-aggregate ratio in the concrete per unit cubic meter.

[0063] In some embodiments, the mass of the paste (M) can be calculated after calculating the aggregate mass and the paste-aggregate ratio. P As shown in formula (3):

[0064] M P =M A ·(P / A) (3)

[0065] In the formula, M P For the mass of the slurry, M A P represents the mass of aggregate per cubic meter of concrete, and P / A is the paste-aggregate ratio.

[0066] S500: Combine the slurry composition equation, water-cement ratio formula, and admixture ratio formula to solve for the mass of cement, water, and admixtures.

[0067] The slurry is composed of powder and water, and the powder includes cement and admixtures. Therefore, the composition equation of the slurry is determined as follows:

[0068] M P =M C +M W +M F (4)

[0069] The formula for water-to-binder ratio is:

[0070]

[0071] The admixture is calculated as a percentage of the cement content:

[0072] M F =α*M C (6)

[0073] By combining formulas (8), (9), and (10), the cement mass M can be calculated. C Water quality M W , quality of admixtures M F .

[0074] In an exemplary embodiment, the design method for high-strength concrete using tunnel slag aggregate is applied to the preparation of C70 tunnel slag high-strength concrete, such as... Figure 3 As shown, it is implemented through the following steps 1 to 4.

[0075] Step 1, Aggregate Characterization: Two-dimensional imaging of granite cavitation debris was performed, and D = 2.67 was measured;

[0076] Step 2, Gradation Design: Input the D value into the packing model, and iteratively optimize to obtain a sand ratio of 40% and a coarse aggregate ratio of 244;

[0077] Step 3, Mix Proportion Calculation: Setting the water-cement ratio to 0.27 and the paste-aggregate ratio to 0.42, the calculated cement content is 466 kg / m³. 3 157 kg / m³ of water 3 Fine aggregate 605kg / m 3 Coarse aggregate 1111 kg / m³ 3 Silica fume 57kg / m 3 ;

[0078] Step 4, Performance Verification: Slump 74mm, 28-day strength 79.2MPa, CT scan shows porosity 1.2%.

[0079] It should be noted that step 1 above corresponds to S100 in the aforementioned embodiment, step 2 corresponds to S200, step 3 corresponds to S300-S500, and step 4 is the verification step for the effectiveness of the method.

[0080] This application also provides a design device for high-strength concrete using caving aggregate, such as... Figure 4 As shown, the high-strength concrete design device for the tunnel slag aggregate includes:

[0081] The fractal dimension calculation module 401 is configured to obtain the aspect ratio and roundness of the cavitation aggregate and calculate the fractal dimension of the aggregate profile using the box counting method.

[0082] The gradation optimization module 402 is configured to generate a gradation curve based on the fractal dimension D and establish a multi-element packing model. The multi-element packing model takes the aggregate bulk density as the optimization objective, iteratively optimizes the proportion of aggregates of different particle sizes through a genetic algorithm, and outputs the proportion of aggregates of the optimal particle size and the corresponding aggregate bulk density.

[0083] The aggregate mass calculation module 403 is configured to use the aggregate bulk density output by the multi-element packing model as the mass of aggregate in a unit cubic meter of concrete.

[0084] The slurry mass calculation module 404 is configured to calculate the slurry mass based on the mass of aggregate and the slurry-aggregate ratio in the unit cubic meter of concrete.

[0085] The mass solver module 405 is configured to solve for the mass of cement, water, and admixtures by combining the slurry composition equation, the water-cement ratio formula, and the admixture ratio formula.

[0086] In some embodiments, the fractal dimension calculation module is further configured to calculate the fractal dimension of the aggregate profile using the following formula:

[0087]

[0088] In the formula, D is the fractal dimension, ε is the box side length, and N(ε) is the number of covering boxes.

[0089] In some embodiments, the slurry quality calculation module is further configured to calculate the slurry quality using the following formula:

[0090] M P =M A (P / A)

[0091] In the formula, M P For the mass of the slurry, M AP represents the mass of aggregate per cubic meter of concrete, and P / A is the paste-aggregate ratio.

[0092] In some embodiments, the slurry composition equation is expressed as:

[0093] M P =M C +M W +M F

[0094] In the formula, M P For the mass of the slurry, M C For cement quality, M W For water quality, M F For the quality of admixtures.

[0095] In some embodiments, the water-to-binder ratio formula is expressed as:

[0096]

[0097] In the formula, W / B is the water-to-binder ratio, and M... C For cement quality, M W For water quality, M F For the quality of admixtures.

[0098] In some embodiments, the formula for the proportion of admixtures is expressed as:

[0099] M F =α*M C

[0100] In the formula, M F For the quality of the admixture, M C α represents the mass of cement, and α is the mass ratio coefficient of admixtures to cement.

[0101] This application provides an electronic device. The electronic device may include a processor and a memory, wherein the processor and the memory can communicate; exemplarily, the processor and the memory communicate via a communication bus.

[0102] The processor executes computer execution instructions stored in memory, causing the processor to perform the scheme in the above embodiments. The processor can be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), etc.; it can also be a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components.

[0103] The communication bus can be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus, etc. The system bus can be divided into address bus, data bus, control bus, etc. Transceivers are used to enable communication between database access devices and other computers (e.g., clients, read-write libraries, and read-only libraries). Memory may include random access memory (RAM) and may also include non-volatile memory.

[0104] The electronic device provided in this application embodiment can be the terminal device described in the above embodiments.

[0105] This application also provides a computer-readable storage medium storing computer instructions. When the computer instructions are executed on a computer, the computer performs the technical solution of the above-described method for designing high-strength concrete with slag aggregate.

[0106] This application also provides a computer program product, which includes a computer program stored in a computer-readable storage medium. At least one processor can read the computer program from the computer-readable storage medium. When the at least one processor executes the computer program, it can implement the technical solution of the high-strength concrete design method for slag aggregate in the above embodiments.

[0107] In the several embodiments provided in this application, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are merely illustrative; for instance, the division of modules is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple modules 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 indirect coupling or communication connection through some interfaces, devices, or modules, and may be electrical, mechanical, or other forms.

[0108] The modules described as separate components may or may not be physically separate. The components shown as modules 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 modules can be selected to implement the solution of this embodiment according to actual needs.

[0109] Furthermore, the functional modules in the various embodiments of this application can be integrated into one processing unit, or each module can exist physically separately, or two or more modules can be integrated into one unit. The unit composed of the above modules can be implemented in hardware or in the form of hardware plus software functional units.

[0110] The integrated modules described above, implemented as software functional modules, can be stored in a computer-readable storage medium. These software functional modules, stored in a storage medium, include several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) or processor to execute some steps of the methods of the various embodiments of this application.

[0111] It should be understood that the aforementioned processor can be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), etc. A general-purpose processor can be a microprocessor or any conventional processor. The steps of the method disclosed in this invention can be directly manifested as being executed by a hardware processor, or executed by a combination of hardware and software modules within the processor.

[0112] The memory may include high-speed RAM, and may also include non-volatile storage (NVM), such as at least one disk storage device, and may also be a USB flash drive, external hard drive, read-only memory, disk or optical disc, etc.

[0113] Buses can be Industry Standard Architecture (ISA) buses, Peripheral Component Interconnect (PCI) buses, or Extended Industry Standard Architecture (EISA) buses, etc. Buses can be categorized into address buses, data buses, control buses, etc.

[0114] The aforementioned storage medium can be implemented from any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic storage, flash memory, magnetic disk, or optical disk. The storage medium can be any available medium accessible to general-purpose or special-purpose computers.

[0115] An exemplary storage medium is coupled to a processor, enabling the processor to read information from and write information to the storage medium. Alternatively, the storage medium can be an integral part of the processor. The processor and storage medium can reside in an Application Specific Integrated Circuit (ASIC). Alternatively, the processor and storage medium can exist as discrete components in an electronic control unit or main control device.

[0116] Those skilled in the art will understand that all or part of the steps of the above-described method embodiments can be implemented by hardware related to program instructions. The aforementioned program can be stored in a computer-readable storage medium. When executed, the program performs the steps of the above-described method embodiments; and the aforementioned storage medium includes various media capable of storing program code, such as ROM, RAM, magnetic disks, or optical disks.

[0117] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit them. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some or all of the technical features therein. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of this application.

Claims

1. A design method for high-strength concrete using quarry aggregate, characterized in that, The method includes: The aspect ratio and roundness of the cavitation aggregate were obtained, and the fractal dimension of the aggregate profile was calculated using the box counting method. A multivariate packing model is established based on the fractal dimension D to generate a gradation curve. The multivariate packing model takes the aggregate bulk density as the optimization objective and iteratively optimizes the proportion of aggregates of different particle sizes through a genetic algorithm, outputting the proportion of aggregates of the optimal particle size and the corresponding aggregate bulk density. The aggregate bulk density output by the multi-element packing model is used as the mass of aggregate in a unit cubic meter of concrete. The mass of the paste is calculated based on the mass of aggregate and the paste-aggregate ratio in the concrete per unit cubic meter. By combining the slurry composition equation, water-cement ratio formula, and admixture ratio formula, the mass of cement, water, and admixtures can be calculated.

2. The design method for high-strength concrete using tunnel embankment aggregate according to claim 1, characterized in that, The fractal dimension of the aggregate profile is calculated using the following formula: In the formula, D is the fractal dimension, ε is the box side length, and N(ε) is the number of covering boxes.

3. The design method for high-strength concrete using tunnel embankment aggregate according to claim 1, characterized in that, The mass of the slurry is calculated using the following formula: M P =M A In the formula (P / A), M P For the mass of the slurry, M A P represents the mass of aggregate per cubic meter of concrete, and P / A is the paste-aggregate ratio.

4. The design method for high-strength concrete using tunnel embankment aggregate according to claim 1, characterized in that, The composition equation of the slurry is expressed as follows: M P =M C +M W +M F In the formula, M P For the mass of the slurry, M C For cement quality, M W For water quality, M F For the quality of admixtures.

5. The design method for high-strength concrete using tunnel embankment aggregate according to claim 1, characterized in that, The water-cement ratio formula is expressed as follows: In the formula, W / B is the water-to-binder ratio, and M... C For cement quality, M W For water quality, M F For the quality of admixtures.

6. The design method for high-strength concrete using tunnel embankment aggregate according to claim 1, characterized in that, The formula for the proportion of the admixture is expressed as: M F =α*M C In the formula, M F For the quality of the admixture, M C α represents the mass of cement, and α is the mass ratio coefficient of admixtures to cement.

7. A design device for high-strength concrete using quarry aggregate, characterized in that, The device includes: The fractal dimension calculation module is configured to obtain the aspect ratio and roundness of the cavitation aggregate and calculate the fractal dimension of the aggregate profile using the box counting method. The gradation optimization module is configured to generate gradation curves based on fractal dimension D and establish a multi-element packing model. The multi-element packing model takes aggregate bulk density as the optimization objective and iteratively optimizes the proportion of aggregates of different particle sizes through a genetic algorithm, outputting the proportion of aggregates of the optimal particle size and the corresponding aggregate bulk density. The aggregate mass calculation module is configured to use the aggregate bulk density output by the multi-element packing model as the mass of aggregate per cubic meter of concrete. The slurry mass calculation module is configured to calculate the slurry mass based on the mass of aggregate and the slurry-aggregate ratio in the unit cubic meter of concrete. The mass calculation module is configured to solve for the mass of cement, water, and admixtures by simultaneously solving the slurry composition equation, water-cement ratio formula, and admixture ratio formula.

8. An electronic device, characterized in that, include: A processor, and a memory communicatively connected to the processor; The memory stores computer-executed instructions; The processor executes the computer execution instructions stored in the memory to implement the design method for high-strength concrete with quarry aggregate as described in any one of claims 1-6.

9. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer-executable instructions, which, when executed by a processor, are used to implement the design method for high-strength concrete with caving aggregate as described in any one of claims 1-6.

10. A computer program product, characterized in that, It includes a computer program, which, when executed by a processor, implements the design method for high-strength concrete with caving aggregate as described in any one of claims 1-6.

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