A method and system for predicting elastic modulus of recycled concrete

Abstract

The present invention belongs to the field of elastic modulus of recycled concrete, and provides a method and system for predicting the elastic modulus of recycled concrete. The method includes, based on the volume fraction, mass fraction and density of recycled aggregate, the volume fraction, mass fraction and density of natural aggregate, and the volume fraction, mass fraction and density of new mortar, using a recycled concrete elastic modulus prediction model to obtain the elastic modulus of recycled concrete; the recycled concrete elastic modulus prediction model is: the product of the volume fraction of recycled aggregate and the elastic modulus of recycled aggregate, the product of the volume fraction of natural aggregate and the elastic modulus of natural aggregate, and the product of the volume fraction of new mortar and the elastic modulus of new mortar, the sum of the three.

Description

Technical Field

[0001] The invention belongs to the field of elastic modulus of recycled concrete, and in particular relates to a prediction method and system for the elastic modulus of recycled concrete. Background Art

[0002] The statements in this section merely provide background information related to the present invention and do not necessarily constitute prior art.

[0003] Crushing, screening and processing the waste concrete in construction waste to make recycled aggregate for making recycled concrete is an important means of resource utilization of construction waste. Whether it is recycled concrete or ordinary concrete, the elastic modulus is one of its important mechanical indicators, which has important guiding significance for engineering construction. Recycled concrete materials can be regarded as composite materials. Composite materials have strong structural characteristics, and their performance and damage laws depend on the properties of their component materials and the mesoscopic structural characteristics. In order to reveal the influence of the mesoscopic characteristics of composite materials on their performance, mesomechanics is very useful. At present, the determination of the elastic modulus of recycled concrete is mainly based on experimental measurement, and there is a lack of a prediction model for the elastic modulus of recycled concrete based on mesomechanics. Summary of the invention

[0004] In order to solve the technical problems existing in the above-mentioned background technology, the present invention provides a method and system for predicting the elastic modulus of recycled concrete, which regards the recycled concrete as a three-phase composite material composed of recycled aggregate, natural aggregate and new mortar, and determines the elastic modulus of the recycled concrete according to the parallel model in micromechanics.

[0005] In order to achieve the above object, the present invention adopts the following technical solution:

[0006] A first aspect of the present invention provides a method for predicting the elastic modulus of recycled concrete.

[0007] A method for predicting elastic modulus of recycled concrete, comprising:

[0008] Based on the volume fraction, mass fraction and density of recycled aggregate, the volume fraction, mass fraction and density of natural aggregate, and the volume fraction, mass fraction and density of new mortar, the elastic modulus of recycled concrete is obtained by using a prediction model of the elastic modulus of recycled concrete;

[0009] The elastic modulus prediction model of recycled concrete is: the sum of the product of the volume fraction of recycled aggregate and the elastic modulus of recycled aggregate, the product of the volume fraction of natural aggregate and the elastic modulus of natural aggregate, and the product of the volume fraction of new mortar and the elastic modulus of new mortar.

[0010] Furthermore, the volume fraction based on recycled aggregate includes: the volume fraction of old stone in the recycled aggregate to the recycled aggregate, the volume fraction of attached mortar in the recycled aggregate to the recycled aggregate, and the volume fraction of recycled aggregate to the recycled concrete.

[0011] Furthermore, the volume fraction of the attached mortar in the recycled aggregate to the recycled aggregate is equal to the mortar attachment rate in the recycled aggregate multiplied by the attached mortar density divided by the recycled aggregate density.

[0012] Furthermore, the sum of the volume fraction of the old stones in the recycled aggregate and the volume fraction of the attached mortar in the recycled aggregate is equal to 1.

[0013] Furthermore, the volume fraction of the natural aggregate includes: the volume fraction of the natural aggregate in the recycled concrete; the volume fraction of the new mortar includes: the volume fraction of the new mortar in the recycled concrete.

[0014] Furthermore, the elastic modulus of the recycled aggregate is determined by the elastic modulus of the attached mortar and the elastic modulus of the old stone.

[0015] Further, the volume fraction of the natural aggregate is obtained by multiplying the density of the natural aggregate by the density of the recycled concrete divided by the density of the natural aggregate;

[0016] The volume fraction of the new mortar is obtained by multiplying the density of the new mortar by the density of the recycled concrete and dividing it by the density of the new mortar.

[0017] A second aspect of the present invention provides a system for predicting the elastic modulus of recycled concrete.

[0018] A prediction system for elastic modulus of recycled concrete, comprising:

[0019] A prediction module is configured to: obtain the elastic modulus of recycled concrete by using a recycled concrete elastic modulus prediction model based on the volume fraction, mass fraction and density of recycled aggregate, the volume fraction, mass fraction and density of natural aggregate, and the volume fraction, mass fraction and density of new mortar;

[0020] The model building module is configured as follows: the product of the volume fraction of recycled aggregate and the elastic modulus of the recycled aggregate, the product of the volume fraction of natural aggregate and the elastic modulus of natural aggregate, and the product of the volume fraction of new mortar and the elastic modulus of new mortar, the sum of the three constitutes a prediction model for the elastic modulus of recycled concrete.

[0021] A third aspect of the present invention provides a computer-readable storage medium.

[0022] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the steps in the method for predicting the elastic modulus of recycled concrete as described in the first aspect above.

[0023] A fourth aspect of the present invention provides a computer device.

[0024] A computer device comprises a memory, a processor and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, the steps in the method for predicting the elastic modulus of recycled concrete as described in the first aspect above are implemented.

[0025] Compared with the prior art, the present invention has the following beneficial effects:

[0026] The invention regards the recycled concrete as a three-phase composite material composed of recycled aggregate, natural aggregate and new mortar, determines the elastic modulus of the recycled concrete according to the parallel model in micromechanics, and improves the speed and accuracy of predicting the elastic modulus of the recycled concrete.

[0027] Advantages of additional aspects of the present invention will be given in part in the following description, and in part will become obvious from the following description, or will be learned through practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] The accompanying drawings in the specification, which constitute a part of the present invention, are used to provide a further understanding of the present invention. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute improper limitations on the present invention.

[0029] Figure 1 is a schematic diagram of the composition of recycled concrete shown in the first embodiment of the present invention;

[0030] Figure 2 It is the experimental specimen shown in the first embodiment of the present invention;

[0031] Figure 3 is a comparison diagram of the predicted value and the experimental value of the elastic modulus of recycled concrete with different recycled coarse aggregate replacement rates shown in the first embodiment of the present invention;

[0032] Figure 4 1 is a flow chart of a method for predicting elastic modulus of recycled concrete shown in the first embodiment of the present invention. DETAILED DESCRIPTION

[0033] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0034] It should be noted that the following detailed descriptions are all illustrative and intended to provide further explanation of the present invention. Unless otherwise specified, all technical and scientific terms used herein have the same meanings as those commonly understood by those skilled in the art to which the present invention belongs.

[0035] It should be noted that the terms used herein are only for describing specific embodiments and are not intended to limit exemplary embodiments according to the present invention. As used herein, unless the context clearly indicates otherwise, the singular form is also intended to include the plural form. In addition, it should be understood that when the terms "comprising" and / or "including" are used in this specification, it indicates the presence of features, steps, operations, devices, components and / or combinations thereof.

[0036] It should be noted that the flowcharts and block diagrams in the accompanying drawings illustrate the possible implementation architecture, functions and operations of the methods and systems according to various embodiments of the present disclosure. It should be noted that each box in the flowchart or block diagram can represent a module, a program segment, or a part of a code, and the module, program segment, or a part of a code may include one or more executable instructions for implementing the logical functions specified in each embodiment. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in an order different from that marked in the accompanying drawings. For example, two boxes represented in succession can actually be executed substantially in parallel, or they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the flowchart and / or block diagram, and the combination of boxes in the flowchart and / or block diagram can be implemented using a dedicated hardware-based system that performs a specified function or operation, or can be implemented using a combination of dedicated hardware and computer instructions.

[0037] Embodiment 1

[0038] like Figure 1 As shown, this embodiment provides a method for predicting the elastic modulus of recycled concrete. This embodiment uses the method applied to a server as an example for illustration. It can be understood that the method can also be applied to a terminal, and can also be applied to a terminal, a server, and a system, and is implemented through the interaction between the terminal and the server. The server can be an independent physical server, or a server cluster or a distributed system composed of multiple physical servers, or a cloud server that provides basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network servers, cloud communications, middleware services, domain name services, security services CDN, and big data and artificial intelligence platforms. The terminal can be a smart phone, a tablet computer, a laptop computer, a desktop computer, a smart speaker, a smart watch, etc., but is not limited to this. The terminal and the server can be directly or indirectly connected via wired or wireless communication, which is not limited in this application. In this embodiment, the method includes the following steps:

[0039] Based on the volume fraction, mass fraction and density of recycled aggregate, the volume fraction, mass fraction and density of natural aggregate, and the volume fraction, mass fraction and density of new mortar, the elastic modulus of recycled concrete is obtained by using a prediction model of the elastic modulus of recycled concrete;

[0040] The elastic modulus prediction model of recycled concrete is: the sum of the product of the volume fraction of recycled aggregate and the elastic modulus of recycled aggregate, the product of the volume fraction of natural aggregate and the elastic modulus of natural aggregate, and the product of the volume fraction of new mortar and the elastic modulus of new mortar.

[0041] The technical solution of this embodiment is described in detail below:

[0042] (1) It is defined that recycled aggregate consists of old stone and attached mortar, and the mortar attachment rate in the recycled aggregate is k. Considering that k is the mass fraction, and the proportion of each component in the prediction model is determined by the volume fraction of each component, k needs to be converted to volume fraction.

[0043] (2) Define the volume fraction of the attached mortar or old stone in the recycled aggregate as γ m , γ n , and γ m +γ n =1,γ m , γ n The calculation formula is as follows:

[0044]

[0045] γ n =1-γ m

[0046] Among them, ρ m , n are the density of attached mortar and the density of recycled aggregate, respectively.

[0047] (3) Definition of elastic modulus E of recycled aggregate 1 The elastic modulus E of the adhesive mortar m and the elastic modulus E of the old stone n and jointly determined.

[0048] The recycled aggregate is regarded as a two-phase composite material consisting of old stone and attached mortar. According to the series model in micromechanics, the elastic modulus E of the recycled aggregate is determined. 1 , the calculation formula of the series model in micromechanics is as follows:

[0049]

[0050] Where C is the volume fraction and i represents different component materials. Then the elastic modulus of recycled aggregate E1 The calculation formula is as follows:

[0051]

[0052] (4) Definition of elastic modulus E of recycled concrete RAC The elastic modulus E of recycled aggregate 1 , elastic modulus of natural aggregate E 2 and elastic modulus of new mortar E 3 Determined jointly.

[0053] Considering recycled concrete as a three-phase composite material consisting of recycled aggregate, natural aggregate and new mortar, the elastic modulus E of recycled concrete is determined according to the parallel model in micromechanics. RAC , the calculation formula of the parallel model in micromechanics is as follows:

[0054]

[0055] Where C is the volume fraction and i represents different component materials. Then the elastic modulus of recycled concrete E RAC The calculation formula is as follows:

[0056]

[0057] Finally, the elastic modulus E of recycled concrete is obtained. RAC The prediction model is as follows:

[0058]

[0059] Considering that the content of recycled coarse aggregate is determined by the replacement rate of recycled coarse aggregate, and the replacement rate of recycled coarse aggregate is a mass fraction, it is necessary to provide a calculation formula for converting the mass fraction into the volume fraction, as shown below:

[0060]

[0061] Among them, ρ RAC is the density of recycled concrete.

[0062] Subscripts 1, 2, and 3 correspond to recycled aggregate, natural aggregate, and new mortar, respectively;

[0063] The subscripts m and n correspond to the attachment mortar in the recycled aggregate and the old stones in the recycled aggregate, respectively;

[0064] E is the elastic modulus (GPa);

[0065] M is mass fraction (%);

[0066] ρ is the density (g / cm 3 );

[0067] γ is the volume fraction (%) of old stone or attached mortar in the recycled aggregate, and γ m +γ n =1;

[0068] is the volume fraction (%) of recycled aggregate or new mortar or natural aggregate in recycled concrete, and has

[0069] Determine the mortar adhesion rate k of recycled aggregate and the density ρ of the mortar attached to the recycled aggregate through experiments or experience m , the density of old stones in recycled aggregate ρ n , elastic modulus E of the mortar attached to the recycled aggregate m , the elastic modulus E of old stone in recycled aggregate n , elastic modulus of natural aggregate E 2 , elastic modulus of new mortar E 3 The elastic modulus E of the recycled aggregate is determined based on the obtained recycled aggregate calculation model. 1 The elastic modulus E of the final recycled concrete is determined based on the obtained prediction model of the elastic modulus of the recycled concrete and the volume fraction of each component material. RAC .

[0070] As one or more implementation modes, the application of this embodiment is:

[0071] (1) Determine the following values ​​through experiments or experience:

[0072] The mortar adhesion rate of recycled aggregate is k = 0.3;

[0073] Density of the attached mortar in the recycled aggregate ρ m =2.0g / cm 3 ;

[0074] Density of old stone in recycled aggregate ρ n =2.6g / cm 3 ;

[0075] The elastic modulus of natural aggregate is determined by the elastic modulus of basalt, E 2 =55GPa;

[0076] Elastic modulus of new mortar E 3 =22.48GPa;

[0077] Considering the deterioration of recycled aggregates caused by service and the impact of damage during crushing and processing, the values ​​of old stones and attached mortar in the recycled aggregates are reduced to determine the following values:

[0078] Elastic modulus E of mortar attached to recycled aggregate m =19.27GPa;

[0079] Elastic modulus E of old stone in recycled aggregate n =0.6E 2 =33GPa.

[0080] (2) Determine the elastic modulus E of the recycled aggregate based on the obtained recycled aggregate calculation model 1 The calculation results are as follows:

[0081]

[0082] (3) Schematic diagram of recycled concrete composition Figure 1 According to the obtained prediction model of elastic modulus of recycled concrete, the specific prediction model E of elastic modulus of recycled concrete is determined. RAC The calculation results are as follows:

[0083]

[0084] (4) The accuracy of the prediction model was verified through experiments. The recycled concrete used in the experiment was designed according to C30 concrete, with a water-cement ratio of 0.38, a sand ratio of 30%, and a recycled coarse aggregate replacement rate of 0, 10%, 20%, ..., 100%, for a total of 11 types. For specific mix ratios, refer to Table 1. According to the "Test Method for Properties of Ordinary Concrete Mixtures" (GB / T 50080-2016), test specimens were made with a size of 100mm×100mm×300mm. Three specimens were made for each replacement rate, and their elastic modulus was measured after 28 days of curing under standard conditions to verify the accuracy of the prediction model. The experimental specimens are shown in Figure 2 .

[0085] (5) According to the experimental mix ratio, the volume fraction of aggregate in recycled concrete (including recycled aggregate and natural aggregate) is 0.4, that is, The final prediction model E of the elastic modulus of recycled concrete is obtained RAC , the calculation results are as follows:

[0086]

[0087] Since the replacement rate of recycled concrete given in the experiment is a mass fraction, the mass fraction M can be converted into a volume fraction according to the following formula.

[0088]

[0089] refer to Figure 3The statistical analysis of the degree of agreement between the predicted values ​​and the experimental values ​​provided in Table 2 shows that the calculation results of the prediction model of this embodiment are in excellent agreement with the experimental results, which also verifies the accuracy of the prediction model of the elastic modulus of recycled concrete based on micromechanics and the establishment method thereof proposed in this embodiment.

[0090] Table 1 Recycled concrete mix ratio

[0091]

[0092] Table 2 Statistical analysis of the agreement between the predicted values ​​and the experimental values

[0093]

[0094] It can be seen that the prediction model of the elastic modulus of recycled concrete reflects the influence trend of the replacement rate of recycled coarse aggregate on the elastic modulus of recycled concrete, and provides a new way to predict the elastic modulus of recycled concrete.

[0095] Embodiment 2

[0096] This embodiment provides a system for predicting the elastic modulus of recycled concrete.

[0097] A prediction system for elastic modulus of recycled concrete, comprising:

[0098] A prediction module is configured to: obtain the elastic modulus of recycled concrete by using a recycled concrete elastic modulus prediction model based on the volume fraction, mass fraction and density of recycled aggregate, the volume fraction, mass fraction and density of natural aggregate, and the volume fraction, mass fraction and density of new mortar;

[0099] The model building module is configured as follows: the product of the volume fraction of recycled aggregate and the elastic modulus of the recycled aggregate, the product of the volume fraction of natural aggregate and the elastic modulus of natural aggregate, and the product of the volume fraction of new mortar and the elastic modulus of new mortar, the sum of the three constitutes a prediction model for the elastic modulus of recycled concrete.

[0100] It should be noted that the above prediction module and model building module are the same as the examples and application scenarios implemented by the steps in Embodiment 1, but are not limited to the contents disclosed in Embodiment 1. It should be noted that the above modules as part of the system can be executed in a computer system such as a set of computer executable instructions.

[0101] Embodiment 3

[0102] This embodiment provides a computer-readable storage medium on which a computer program is stored. When the program is executed by a processor, the steps in the method for predicting the elastic modulus of recycled concrete as described in the first embodiment above are implemented.

[0103] Embodiment 4

[0104] This embodiment provides a computer device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the program, the steps in the method for predicting the elastic modulus of recycled concrete as described in the first embodiment are implemented.

[0105] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of hardware embodiments, software embodiments, or embodiments combining software and hardware. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage and optical storage, etc.) containing computer-usable program code.

[0106] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0107] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0108] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0109] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiments can be implemented by instructing the relevant hardware through a computer program, and the program can be stored in a computer-readable storage medium, and when the program is executed, it can include the processes of the embodiments of the above-mentioned methods. The storage medium can be a disk, an optical disk, a read-only memory (ROM) or a random access memory (RAM), etc.

[0110] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A method for predicting the elastic modulus of recycled concrete, characterized in that: include: Based on the volume fraction, mass fraction and density of recycled aggregate, the volume fraction, mass fraction and density of natural aggregate, and the volume fraction, mass fraction and density of new mortar, the elastic modulus of recycled concrete is obtained by using a prediction model of the elastic modulus of recycled concrete; The elastic modulus prediction model of recycled concrete is: the product of the volume fraction of recycled aggregate and the elastic modulus of recycled aggregate, the product of the volume fraction of natural aggregate and the elastic modulus of natural aggregate, and the product of the volume fraction of new mortar and the elastic modulus of new mortar, the sum of the three; The volume fraction of the recycled aggregate includes: the volume fraction of old stones in the recycled aggregate, the volume fraction of the attached mortar in the recycled aggregate, and the volume fraction of the recycled aggregate in the recycled concrete; The elastic modulus of the recycled aggregate is determined by the elastic modulus of the attached mortar and the elastic modulus of the old stone, and the expression is: Among them, E1 is the elastic modulus of recycled aggregate, γ m is the volume fraction of the attached mortar in the recycled aggregate, γ n is the volume fraction of old stone in the recycled aggregate, E m is the elastic modulus of the adhesive mortar, E n is the elastic modulus of the old stone; The elastic modulus of the recycled concrete is determined by the elastic modulus of the recycled aggregate, the elastic modulus of the natural aggregate and the elastic modulus of the new mortar, and the expression is: Among them, E RAC is the elastic modulus of recycled concrete, E2 is the elastic modulus of natural aggregate, and E3 is the elastic modulus of new mortar. is the volume fraction of recycled aggregate, new mortar or natural aggregate in recycled concrete. The subscripts 1, 2 and 3 correspond to recycled aggregate, natural aggregate and new mortar respectively.

2. The method for predicting the elastic modulus of recycled concrete according to claim 1, characterized in that: The volume fraction of the attached mortar in the recycled aggregate to the recycled aggregate is equal to the mortar attachment rate in the recycled aggregate multiplied by the attached mortar density divided by the recycled aggregate density.

3. The method for predicting elastic modulus of recycled concrete according to claim 1, characterized in that: The sum of the volume fraction of old stones in the recycled aggregate and the volume fraction of attached mortar in the recycled aggregate is equal to 1.

4. The method for predicting elastic modulus of recycled concrete according to claim 1, characterized in that: The volume fraction of the natural aggregate includes: the volume fraction of the natural aggregate in the recycled concrete; the volume fraction of the new mortar includes: the volume fraction of the new mortar in the recycled concrete.

5. The method for predicting elastic modulus of recycled concrete according to claim 1, characterized in that: The volume fraction of the natural aggregate is obtained by multiplying the mass fraction of the natural aggregate by the density of the recycled concrete divided by the density of the natural aggregate; The volume fraction of the new mortar is obtained by multiplying the mass fraction of the new mortar by the density of the recycled concrete and dividing by the density of the new mortar.

6. A prediction system for elastic modulus of recycled concrete, characterized in that: include: A prediction module is configured to: obtain the elastic modulus of recycled concrete by using a recycled concrete elastic modulus prediction model based on the volume fraction, mass fraction and density of recycled aggregate, the volume fraction, mass fraction and density of natural aggregate, and the volume fraction, mass fraction and density of new mortar; A model building module, which is configured as follows: the product of the volume fraction of recycled aggregate and the elastic modulus of the recycled aggregate, the product of the volume fraction of natural aggregate and the elastic modulus of natural aggregate, and the product of the volume fraction of new mortar and the elastic modulus of new mortar, the sum of the three constitutes a prediction model of the elastic modulus of recycled concrete; The volume fraction of the recycled aggregate includes: the volume fraction of old stones in the recycled aggregate, the volume fraction of the attached mortar in the recycled aggregate, and the volume fraction of the recycled aggregate in the recycled concrete; The elastic modulus of the recycled aggregate is determined by the elastic modulus of the attached mortar and the elastic modulus of the old stone, and the expression is: Among them, E1 is the elastic modulus of recycled aggregate, γ m is the volume fraction of the attached mortar in the recycled aggregate, γ n is the volume fraction of old stone in the recycled aggregate, E m is the elastic modulus of the adhesive mortar, E n is the elastic modulus of the old stone; The elastic modulus of the recycled concrete is determined by the elastic modulus of the recycled aggregate, the elastic modulus of the natural aggregate and the elastic modulus of the new mortar, and the expression is: Among them, E RAC is the elastic modulus of recycled concrete, E2 is the elastic modulus of natural aggregate, and E3 is the elastic modulus of new mortar. is the volume fraction of recycled aggregate, new mortar or natural aggregate in recycled concrete. The subscripts 1, 2 and 3 correspond to recycled aggregate, natural aggregate and new mortar respectively.

7. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the steps of the method for predicting the elastic modulus of recycled concrete as described in any one of claims 1 to 5 are implemented.

8. A computer device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the program, the steps in the method for predicting the elastic modulus of recycled concrete according to any one of claims 1 to 5 are implemented.

Images