A method, system, and device for evaluating the homogeneity of mechanism sand concrete
Patent Information
- Application Number
- CN202111408316.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2021-11-24
- Publication Date
- 2025-07-22
- Estimated Expiration
- 2041-11-24
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Figure CN114119542B_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the technical field of building materials, and in particular, to a method, a system, and a device for evaluating the homogeneity of manufactured sand concrete. Background Art
[0002] Generally, engineers will use the ratio of the area of the aggregate in the concrete specimen to the entire cross-section as an index to judge the homogeneity of the concrete. However, for different manufactured sand concrete specimens, when engineers still use the ratio of the aggregate area to the entire cross-section as an evaluation of the homogeneity of the concrete, under different working conditions, due to bleeding of the concrete, the aggregate sinks, or the size distribution of the aggregate is uneven, and the ratio of the aggregate area to the entire cross-section area still meets the requirements. At this time, the ratio of the aggregate in the entire cross-section does not indicate that the manufactured sand concrete has good homogeneity, indicating that the ratio of the paste in the entire cross-section cannot reflect the uniformity of the distribution of the aggregate in the concrete. Therefore, in the present invention, the cross-section of the concrete specimen is divided into several equal-area regions. If the area corresponding to the aggregate in different regions is stable, it indicates that the aggregate is evenly distributed in the concrete; if the difference in the area corresponding to the aggregate in different regions is large, it indicates that the homogeneity of the concrete is poor. The ratio of the area of the paste in different regions is used as data for statistical analysis to further judge the homogeneity of the manufactured sand concrete.
[0003] On the other hand, the aggregate particles in the concrete cross-section image are not of equal size, and the difference in particle size is very large. In each small grid divided, there may be very few large coarse aggregates but with a large area, or there may be a very large number of small coarse aggregates but with a small area. Therefore, the quantitative characterization index of the homogeneity of the concrete is related to both the area of the coarse aggregate and the number of the coarse aggregate.
[0004] Due to the fact that the traditional methods for evaluating the homogeneity of concrete are not comprehensive and the calculation methods are not unified, the present invention proposes a method for judging the homogeneity of concrete that is related to both the area of the coarse aggregate and the number of the coarse aggregate. Summary of the Invention
[0005] In order to solve the above problems, the purpose of the present invention is to solve the problems that the traditional methods for evaluating the homogeneity of concrete are not comprehensive and the calculation methods are not unified.
[0006] In order to achieve the above technical objectives, the present application provides a method for evaluating the homogeneity of manufactured sand concrete, including the following steps:
[0007] Based on a manufactured sand concrete specimen, obtain a binary image of the sliced manufactured sand concrete specimen.
[0008] Divide the binary image of the sliced manufactured sand concrete specimen into several regions, and obtain the number and area of the coarse aggregate particles in each region.
[0009] Based on the number of coarse aggregate particles, the expected number, the area, and the expected area within each region, a homogeneity evaluation model is constructed to evaluate the homogeneity of the manufactured sand concrete specimens. Here, the expected number represents the minimum number of coarse aggregate particles under the condition of meeting the homogeneity requirement; the expected area represents the minimum area of coarse aggregate particles under the condition of meeting the homogeneity requirement.
[0010] Preferably, during the process of obtaining the binary image of the concrete specimen slice, the size of the manufactured sand concrete specimen is 150×150×150 mm;
[0011] Based on the manufactured sand concrete specimen, the concrete specimen is cut along the middle part by mechanical cutting to obtain the cross-section of the concrete specimen. The concrete slice image is read using MATLAB software or PS software, and the binary processing is performed on the concrete slice image to obtain the binary image of the concrete specimen slice.
[0012] Preferably, the binary image of the concrete specimen slice is divided into n×m regions of equal size, where n>1 and m>1.
[0013] Preferably, during the process of constructing the homogeneity evaluation model, the expected number is expressed as:
[0014]
[0015] where q represents the expected number and Q represents the total number of coarse aggregate particles.
[0016] Preferably, during the process of constructing the homogeneity evaluation model, according to the area of coarse aggregate particles in a single region and the total area of coarse aggregate particles in the binary image of the concrete specimen slice, the particle area ratio within each region and the expected particle area ratio within each region are obtained;
[0017] According to the number of coarse aggregate particles, the expected number, the particle area ratio, and the expected particle area ratio within each region, a homogeneity evaluation model is constructed.
[0018] Preferably, the particle area ratio is:
[0019]
[0020] The expected particle area ratio is:
[0021]
[0022] where s represents the expected area of coarse aggregate particles, and s i represents the area of coarse aggregate particles.
[0023] Preferably, the homogeneity evaluation model is:
[0024]
[0025] Among them, λ is the weight between T1 and T2, and λ = 0.99.
[0026] Preferably, in the process of constructing the homogeneity evaluation model, the number, expected number, area, and expected area of the coarse aggregate particles in each region are obtained through MATLAB or Image-Pro Plus software.
[0027] A homogeneity evaluation system for manufactured sand concrete includes:
[0028] An image acquisition module, which is used to obtain the concrete specimen slice image of the manufactured sand concrete specimen based on the manufactured sand concrete specimen;
[0029] A data acquisition module, which is used to binarize the concrete specimen slice image, and divide the binarized concrete specimen slice image into several regions, and obtain the number and area of the coarse aggregate particles in each region;
[0030] A homogeneity evaluation module, which is used to construct a homogeneity evaluation model based on the number, expected number, area, and expected area of the coarse aggregate particles in each region, and is used to evaluate the homogeneity of the manufactured sand concrete specimen. Among them, the expected number represents the minimum number of coarse aggregate particles under the condition of meeting the homogeneity condition; the expected area represents the minimum area of the coarse aggregate particles under the condition of meeting the homogeneity condition.
[0031] A homogeneity evaluation device for manufactured sand concrete includes:
[0032] A mechanical cutting device, which is used to cut the manufactured sand concrete specimen along the middle part;
[0033] A digital camera, which is used to vertically photograph the cut part of the concrete and collect the concrete specimen slice image;
[0034] A homogeneity analysis device, which is used to execute the homogeneity evaluation method and judge the homogeneity of the manufactured sand concrete specimen according to the concrete specimen slice image;
[0035] A display device, which is used to display the concrete specimen slice image and display the homogeneity of different regions of the manufactured sand concrete specimen and the overall homogeneity of the manufactured sand concrete specimen at one end or the upper surface of the concrete specimen slice image.
[0036] The present invention discloses the following technical effects:
[0037] The method for evaluating the homogeneity of manufactured sand concrete provided by the present invention ensures the accuracy of the calculation results while being easy to operate and simple to learn. BRIEF DESCRIPTION OF THE DRAWINGS
[0038] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required in the embodiments. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on these drawings.
[0039] Figure 1 It is a binary image of the manufactured sand concrete specimen A according to the present invention;
[0040] Figure 2 It is the 2×2 division of the manufactured sand concrete specimen A according to the present invention;
[0041] Figure 3 It is a binary image of the manufactured sand concrete specimen B according to the present invention;
[0042] Figure 4 It is the 2×2 division of the manufactured sand concrete specimen B according to the present invention;
[0043] Figure 5 It is the flowchart of the method according to the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS
[0044] In order to make the objectives, technical solutions, and advantages of the embodiments of the present application clearer, the following will clearly and completely describe the technical solutions in the embodiments of the present application with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only some, rather than all, embodiments of the present application. Usually, the components of the embodiments of the present application described and illustrated in the drawings here can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present application provided in the drawings is not intended to limit the scope of the present application that is required to be protected, but merely represents the selected embodiments of the present application. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present application without creative efforts fall within the scope of protection of the present application.
[0045] As Figures 1-5 shown, the present invention provides a method for evaluating the homogeneity of manufactured sand concrete, including the following steps:
[0046] Based on the manufactured sand concrete specimen, obtain the binary image of the sliced manufactured sand concrete specimen;
[0047] Divide the binary image of the sliced manufactured sand concrete specimen into several regions, and obtain the number and area of the coarse aggregate particles in each region;
[0048] Based on the number of coarse aggregate particles, the expected number, the area, and the expected area within each region, a homogeneity evaluation model is constructed to evaluate the homogeneity of the manufactured sand concrete specimens. Here, the expected number represents the minimum number of coarse aggregate particles under the condition of meeting the homogeneity requirements; the expected area represents the minimum area of coarse aggregate particles under the condition of meeting the homogeneity requirements.
[0049] Further preferably, during the process of obtaining the binary image of the concrete specimen slice, the size of the manufactured sand concrete specimen is 150×150×150 mm.
[0050] Based on the manufactured sand concrete specimen, the concrete specimen is cut along the middle part by mechanical cutting to obtain the cross-section of the concrete specimen. The concrete slice image is read using MATLAB software or PS software, and the binary processing is performed on the concrete slice image to obtain the binary image of the concrete specimen slice.
[0051] Further preferably, the binary image of the concrete specimen slice is divided into n×m regions of equal size, where n > 1 and m > 1.
[0052] Further preferably, during the process of constructing the homogeneity evaluation model, the expected number is expressed as:
[0053]
[0054] where q represents the expected number and Q represents the total number of coarse aggregate particles.
[0055] Further preferably, during the process of constructing the homogeneity evaluation model, according to the area of coarse aggregate particles in a single region and the total area of coarse aggregate particles in the binary image of the concrete specimen slice, the particle area ratio within each region and the expected particle area ratio within each region are obtained.
[0056] According to the number of coarse aggregate particles, the expected number, the particle area ratio, and the expected particle area ratio within each region, a homogeneity evaluation model is constructed.
[0057] Further preferably, the particle area ratio is:
[0058]
[0059] The expected particle area ratio is:
[0060]
[0061] where s represents the expected area of coarse aggregate particles, and s i represents the area of coarse aggregate particles.
[0062] Further preferably, the homogeneity evaluation model is:
[0063]
[0064] Among them, λ is the weight between T1 and T2, and λ = 0.99.
[0065] Further preferably, in the process of constructing the homogeneity evaluation model, the number, expected number, area, and expected area of coarse aggregate particles in each region are obtained through MATLAB or Image-Pro Plus software.
[0066] Further preferably, the present invention also discloses a homogeneity evaluation system based on manufactured-sand concrete, including:
[0067] An image acquisition module, which is used to obtain a concrete specimen slice image of the manufactured-sand concrete specimen based on the manufactured-sand concrete specimen;
[0068] A data acquisition module, which is used to binarize the concrete specimen slice image, divide the binarized concrete specimen slice image into several regions, and obtain the number and area of coarse aggregate particles in each region;
[0069] A homogeneity evaluation module, which is used to construct a homogeneity evaluation model based on the number, expected number, area, and expected area of coarse aggregate particles in each region, and is used to evaluate the homogeneity of the manufactured-sand concrete specimen. Among them, the expected number represents the minimum number of coarse aggregate particles under the condition of meeting the homogeneity condition; the expected area represents the minimum area of coarse aggregate particles under the condition of meeting the homogeneity condition.
[0070] Further preferably, the present invention also discloses a homogeneity evaluation device based on manufactured-sand concrete, including:
[0071] A mechanical cutting device, which is used to cut the manufactured-sand concrete specimen along the middle part;
[0072] A digital camera, which is used to vertically photograph the cut part of the concrete and collect the concrete specimen slice image;
[0073] A homogeneity analysis device, which is used to execute the homogeneity evaluation method and judge the homogeneity of the manufactured-sand concrete specimen according to the concrete specimen slice image;
[0074] A display device, which is used to display the concrete specimen slice image and display the homogeneity of different regions of the manufactured-sand concrete specimen and the overall homogeneity of the manufactured-sand concrete specimen at one end or the upper surface of the concrete specimen slice image.
[0075] Example 1: A method for evaluating the homogeneity of manufactured-sand concrete includes the following steps:
[0076] (1) Obtain concrete specimen slices. Cut a 150×150×150mm concrete specimen in half along the middle using mechanical cutting, and take a vertical photograph of the cut part of the concrete with a digital camera to obtain an image of the concrete slice. Binarize the cross-sectional image of the concrete specimen. Read the image of the concrete slice using MATLAB software or PS software, and binarize the image of the concrete specimen slice.
[0077] (2) Use computer software to divide the binarized cross-sectional image of the concrete into n×m regions of equal size, where n≥1 and m≥1, and calculate the number and area of coarse aggregate particles in each small grid.
[0078] (3) Divide the processed image into n×m small grids. Let q i represent the number of coarse aggregates in each small grid, Q represent the total number of coarse aggregates, represent the expected number of coarse aggregates in each small grid. Let s i represent the area of coarse aggregates in each small grid, and S represent the total area of coarse aggregates in the entire concrete image, then S = ∑s i , assume the area of each small grid is s, and let p i represent the particle area ratio in each small grid, then The expected area of coarse aggregates in each small grid: Assume the expected area ratio of coarse aggregates in each small grid is p, then
[0079] If the coarse aggregates are uniformly distributed, construct the statistic T
[0080]
[0081] Among them, λ is the weight between T1 and T2, λ = 0.99.
[0082] For the determination of the uniform distribution of concrete, the main basis for determination is: The zero distribution of T1 and T2 asymptotically follows a χ 2 distribution with degrees of freedom (n - 1). If the obtained values of T1 and T2 are less than then it can be considered that the coarse aggregates are uniformly distributed under the confidence level α. When T1 and T2 are less than or equal to that is, a uniform distribution is obtained. When the value of T is smaller, it indicates that the relative uniformity of the distribution of coarse aggregates in the image is better. Theoretically, when T = 0, the distribution of coarse aggregates in the image is absolutely uniform.
[0083] Example 2: (1) Obtain concrete specimen slices A and B. Use MATLAB software to read the image of the concrete slice, and binarize the image of the concrete specimen slice.
[0084] (2) Use computer software to divide the binary cross-sectional images of concrete specimens A and B into 2×2 regions of equal size, and calculate the number and area of coarse aggregate particles in each small grid, as shown in Table 1.
[0085] Table 1 Results of dividing Specimen A into 2×2 (mm 2 )
[0086]
[0087] Table 2 Results of dividing Specimen B into 2×2 (mm 2 )
[0088]
[0089]
[0090] (3) The number and area of coarse aggregates in Specimen A are shown in Table 1. The total number of coarse aggregates Q = 324, s1 = 1903.7, s2 = 1927.5, s3 = 2266.5, s4 = 2271.5, then S = ∑s i = 8369.2. The area of each small grid is 3750 mm 2 , then The expected area of coarse aggregates in each small grid: Let the expected area ratio of coarse aggregates in each small grid be p, then
[0091]
[0092] Substitute into the formula
[0093] (4) The number and area of coarse aggregates in Specimen B are shown in Table 2. The total number of coarse aggregates Q = 94, s1 = 2192.7, s2 = 2212.9, s3 = 2375.2, s4 = 2287.7, then S = ∑s i = 9068.5. The area of each small grid is 3750 mm 2 , then The expected area of coarse aggregates in each small grid: The expected area ratio of coarse aggregates in each small grid is p, then
[0094]
[0095] Substitute into the formula
[0096]
[0097] 0.178 > 0.0307. The uniformity index of Specimen A is greater than that of Specimen B.
[0098] Through calculation and analysis, the uniformity of concrete Specimen B is better than that of Specimen A.
[0099] It should be noted that similar reference numerals and letters refer to similar items in the following figures. Therefore, once an item is defined in one figure, it is not necessary to further define or explain it in subsequent figures. In addition, the terms "first", "second", "third", etc. are used only for descriptive distinction and should not be construed as indicating or implying relative importance.
[0100] Finally, it should be noted that the above-described embodiments are only specific embodiments of the present invention, used to illustrate the technical solutions of the present invention, rather than limiting it. The protection scope of the present invention is not limited thereto. Although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that any person skilled in the art within the technical scope disclosed by the present invention can still modify the technical solutions described in the foregoing embodiments or can easily conceive of changes, or make equivalent replacements for some of the technical features; and these modifications, changes 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 invention. All should be covered by the protection scope of the present invention. Therefore, the protection scope of the present invention should be determined by the protection scope of the claims.
Claims
1. A homogeneity evaluation method for manufactured sand concrete, characterized in that Including the following steps: Based on the manufactured sand concrete specimen, obtain the binary image of the sliced manufactured sand concrete specimen; Divide the binary image of the sliced manufactured sand concrete specimen into several regions, and obtain the number and area of the coarse aggregate particles in each region; Based on the number, expected number, area, and expected area of the coarse aggregate particles in each region, construct a homogeneity evaluation model for evaluating the homogeneity of the manufactured sand concrete specimen, where the expected number represents the minimum number of the coarse aggregate particles under the condition of meeting the homogeneity condition; the expected area represents the minimum area of the coarse aggregate particles under the condition of meeting the homogeneity condition; wherein, obtaining the binary image of the sliced manufactured sand concrete specimen includes mechanically cutting a manufactured sand concrete specimen with a size of 150×150×150 mm along the middle part to obtain a cross-section of the concrete specimen, reading the concrete slice image by using MATLAB or PS software, and performing binary processing on the concrete slice image to obtain the binary image of the sliced manufactured sand concrete specimen. The binary image of the sliced manufactured sand concrete specimen is divided into n×m regions of equal size, where n>1 and m>1; constructing the homogeneity evaluation model includes obtaining the particle area ratio in each region and the expected particle area ratio in each region according to the area of the coarse aggregate in a single region and the total area of the coarse aggregate in the binary image of the sliced manufactured sand concrete specimen; constructing the homogeneity evaluation model according to the number, expected number, particle area ratio, and expected particle area ratio of the coarse aggregate particles in each region; the homogeneity evaluation model is: Among them, λ is the weight between T1 and T2, λ = 0.99, and the expected number is expressed as Q represents the total number of coarse aggregates; q i represents the number of coarse aggregates in each area; the particle area ratio is The expected particle area ratio is: s represents the expected area of the coarse aggregate particles, and s i represents the area of the coarse aggregate particles.
2. The method for evaluating the homogeneity of manufactured sand concrete according to claim 1, wherein: In the process of constructing the homogeneity evaluation model, obtain the number, expected number, area, and expected area of the coarse aggregate particles in each region by using MATLAB or Image-ProPlus software.
3. A homogeneity evaluation system for manufactured-sand concrete, characterized in that, Including: An image acquisition module for obtaining the concrete specimen slice image of the manufactured sand concrete specimen based on the manufactured sand concrete specimen; A data acquisition module for performing binary processing on the concrete specimen slice image, dividing the binary processed binary image of the sliced manufactured sand concrete specimen into several regions, and obtaining the number and area of the coarse aggregate particles in each region; A homogeneity evaluation module is used to construct a homogeneity evaluation model based on the number, expected number, area, and expected area of the coarse aggregate particles in each of the regions, for evaluating the homogeneity of the manufactured sand concrete specimen. Herein, the expected number represents the minimum number of the coarse aggregate particles under the condition of meeting the homogeneity requirement; the expected area represents the minimum area of the coarse aggregate particles under the condition of meeting the homogeneity requirement. Among them, obtaining the binary concrete specimen slice image includes mechanically cutting a manufactured sand concrete specimen with a size of 150×150×150 mm along the middle part to obtain a concrete specimen cross-section, using MATLAB or PS software to read the concrete slice image, and performing binary processing on the concrete slice image to obtain the binary concrete specimen slice image. The binary concrete specimen slice image is divided into n×m regions of equal size, where n>1 and m>1. Constructing the homogeneity evaluation model includes obtaining the particle area ratio in each region and the expected particle area ratio in each region according to the area of the coarse aggregate in a single region and the total area of the coarse aggregate in the binary concrete specimen slice image; constructing the homogeneity evaluation model according to the number, expected number, particle area ratio, and expected particle area ratio of the coarse aggregate particles in each region. The homogeneity evaluation model is: Among them, λ is the weight between T1 and T2, λ = 0.99, and the expected number is expressed as Q represents the total number of coarse aggregates; q i represents the number of coarse aggregates in each area; the particle area ratio is The expected particle area ratio is: s represents the expected area of the coarse aggregate particles, and s i represents the area of the coarse aggregate particles.
4. A device for evaluating the homogeneity of mechanism sand concrete, characterized in that, It includes: A mechanical cutting device for cutting the manufactured sand concrete specimen along the middle part; A digital camera for vertically photographing the cut part of the concrete to collect the concrete specimen slice image; A homogeneity analysis device for executing the method for evaluating the homogeneity of manufactured sand concrete according to any one of claims 1-2, and judging the homogeneity of the manufactured sand concrete specimen according to the concrete specimen slice image; A display device for displaying the concrete specimen slice image and, at one end or the upper surface of the concrete specimen slice image, displaying the homogeneity of different regions of the manufactured sand concrete specimen and the overall homogeneity of the manufactured sand concrete specimen.
Citation Information
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