A method, apparatus, medium, and product for determining preparation parameters using a topsis-based concrete self-healing performance evaluation technique

Abstract

The application discloses a method, device, medium and product for determining preparation parameters by using a TOPSIS-based concrete self-healing performance evaluation technology, and relates to the technical field of self-healing recovery analysis. The method comprises the following steps: preparing multiple groups of test samples; performing performance tests on the test sample groups respectively, obtaining the normalized water absorption rate change degree, crack width change degree and strength recovery degree of the test sample groups, and determining the water absorption rate recovery weight and crack width healing weight, so as to determine the weighted water absorption rate change degree and the weighted crack width change degree; using a TOPSIS comprehensive analysis method, determining the similarity coefficient of each test sample group based on the weighted water absorption rate change degree and the weighted crack width change degree of all the test sample groups; determining the preparation parameters of the test sample group with the largest similarity coefficient as target parameters, and determining the target parameters as the preparation parameters in concrete production. The self-healing performance of the prepared concrete is improved.

Description

Technical Field

[0001] The present application relates to the field of self-healing recovery analysis technology, and in particular to a method, device, medium and product for determining preparation parameters using TOPSIS-based concrete self-healing performance evaluation technology. Background Art

[0002] In terms of evaluating the self-healing performance of concrete, traditional evaluation methods include surface crack width healing degree evaluation, water absorption and permeability change degree evaluation, ultrasonic testing and CT scanning analysis. These methods have different focuses. For example, the surface crack width healing degree evaluation method judges the self-healing effect by regularly measuring the degree of change in the width of concrete surface cracks. This method is simple and intuitive, and is also the most widely used method in current research and engineering practice. The degree of change in water absorption and permeability is determined by measuring the amount of water absorbed by the concrete in a fixed time before and after self-healing, or the time required for a certain amount of water to pass through, to judge the degree of closure of the micro-crack pores inside the concrete. The common characterization parameter unit is g / s 0.5 . Ultrasonic testing is based on the correlation between the propagation speed of ultrasonic waves in concrete and the compressive strength. The strength and internal defects of concrete are judged by analyzing acoustic parameters. The unit of the common characterization parameter wave velocity is m / s. Ultrasonic waves propagate quickly in intact concrete structures. In unclosed internal defects such as cracks and pores, the sudden change of the medium interface will cause the reflection and refraction of sound waves, thereby reducing the propagation speed of ultrasonic waves. Based on this comparative analysis of the wave velocity, the internal healing condition of the concrete can be roughly judged. CT scanning analysis can provide overall information of the concrete structure through three-dimensional reconstruction of images, including a digital model of its internal pores, cracks and surface defects. According to the statistical algorithm, the degree of internal structural changes of the concrete before and after self-healing can be accurately obtained, and the details of the structural changes before and after self-healing can also be intuitively compared and analyzed through the reconstructed model image.

[0003] However, although the surface crack width healing degree test is the simplest and most intuitive assessment method and is widely used, it only focuses on the surface healing and cannot deeply reflect the healing effect of the concrete interior. The water absorption and permeability change assessment method can judge the internal pore and crack conditions of concrete based on the difficulty of the pore water migration path, thereby comparing the healing effect of concrete before and after, but it ignores the healing of open pores and cracks on the surface of concrete. Although ultrasonic testing can also reflect the healing of internal pores and cracks in concrete, the ultrasonic reflection and refraction path it is based on is based on the shortest distance short-range straight line segment, which cannot reflect the complete internal pore and crack conditions, nor can it reflect the healing of the concrete surface. Although CT scanning can provide more detailed and comprehensive information on the internal and external structures of concrete through three-dimensional reconstruction, its operation is complicated, the cost is high, and there are certain requirements for the test conditions of the concrete test object, which greatly limits its application in engineering practice.

[0004] In summary, traditional methods are unable to comprehensively evaluate the self-healing properties of concrete. In particular, they fail to comprehensively consider the differences and correlations between internal and surface healing during the concrete self-healing process and their impact on the overall performance, resulting in poor self-healing properties of the prepared concrete. Summary of the Invention

[0005] The purpose of this application is to provide a method, device, medium and product for determining preparation parameters using TOPSIS-based concrete self-healing performance evaluation technology, so as to solve the problem that the self-healing performance of concrete cannot be fully evaluated and the self-healing performance of the prepared concrete is poor.

[0006] To achieve the above objectives, this application provides the following solutions:

[0007] In a first aspect, the present application provides a method for determining preparation parameters using a TOPSIS-based concrete self-healing performance evaluation technology, comprising:

[0008] Prepare multiple groups of specimens; the specimens include: precast cracked concrete specimens and non-precast cracked concrete specimens; the precast cracked concrete specimens are concrete specimens with cracks, and the non-precast cracked concrete specimens are concrete specimens without cracks; the preparation parameters of the concrete specimens in different groups of specimens are different, while the preparation parameters of the precast cracked concrete specimens and non-precast cracked concrete specimens in the same group are the same; the preparation parameters include: the type of materials constituting the concrete specimens and the mix ratio of the materials;

[0009] Performing performance tests on each sample group, and obtaining the normalized water absorption rate change, the normalized crack width change, and the normalized strength recovery of each sample group;

[0010] Based on the normalized water absorption rate change, normalized crack width change, and normalized strength recovery of all sample groups, the water absorption rate recovery weight and crack width healing weight are determined;

[0011] Determining a weighted water absorption change degree for each sample group based on the normalized water absorption change degree and the water absorption recovery weight of each sample group, and determining a weighted crack width change degree for each sample group based on the normalized crack width change degree and the crack width healing weight of each sample group;

[0012] Using the TOPSIS comprehensive analysis method, the similarity coefficient of each sample group is determined based on the weighted changes in water absorption and crack width of all sample groups; the similarity coefficient is used to characterize the self-healing performance;

[0013] The preparation parameters of the sample group with the largest similarity coefficient are determined as target parameters, and the target parameters are determined as preparation parameters when producing concrete.

[0014] Optionally, a performance test is performed on each sample group, and the normalized water absorption rate change, the normalized crack width change, and the normalized strength recovery of each sample group are obtained, including:

[0015] The precast cracked concrete specimens in each specimen group are subjected to performance tests. During the performance tests, performance parameters of each precast cracked concrete specimen are collected. The performance parameters of the precast cracked concrete specimens include: a first load, a first crack width, a first water absorption rate, a second crack width, a second water absorption rate, and a second load.

[0016] The performance test is performed on each unprecast cracked concrete sample in each sample group. During the performance test, the performance parameters of each unprecast cracked concrete sample are collected. The performance parameters of the unprecast cracked concrete sample include: the third water absorption rate and the fourth water absorption rate;

[0017] Calculating the change in the original water absorption of each sample group based on the first water absorption, the second water absorption, the third water absorption, and the fourth water absorption in each sample group, and performing maximum and minimum normalization processing on the change in the original water absorption of each sample group to obtain the normalized change in water absorption of each sample group;

[0018] Calculating the original crack width change degree of each sample group based on the first crack width and the second crack width in each sample group, and performing maximum and minimum normalization processing on the original crack width change degree of each sample group to obtain the normalized crack width change degree of each sample group;

[0019] The original strength recovery degree of each sample group is calculated according to the first load and the second load in each sample group, and the original strength recovery degree of each sample group is normalized to the maximum and minimum to obtain the normalized strength recovery degree of each sample group.

[0020] Optionally, the calculation formula for the degree of change in original water absorption includes:

[0021] Δw=(w1-w2)-(w3-w4);

[0022] Among them, Δw is the degree of change of the original water absorption rate; w1 is the first water absorption rate; w2 is the second water absorption rate; w3 is the third water absorption rate; and w4 is the fourth water absorption rate.

[0023] Optionally, the calculation formula for the degree of change in the original crack width includes:

[0024]

[0025] Wherein, Δc is the degree of change of the original crack width; c1 is the first crack width; and c2 is the second crack width.

[0026] Optionally, based on the normalized water absorption change, the normalized crack width change, and the normalized strength recovery of all sample groups, a water absorption recovery weight and a crack width healing weight are determined, including:

[0027] Based on the normalized water absorption change and the normalized strength recovery of all sample groups, the correlation coefficient between the water absorption change and the strength recovery was calculated to obtain the water absorption recovery correlation coefficient.

[0028] Based on the normalized crack width change and strength recovery of all sample groups, the correlation coefficient between the crack width change and strength recovery was calculated to obtain the crack width healing correlation coefficient.

[0029] The water absorption recovery weight and the crack width healing weight are calculated based on the water absorption recovery correlation coefficient and the crack width healing correlation coefficient.

[0030] Optionally, the TOPSIS comprehensive analysis method is used to determine the similarity coefficient of each sample group based on the weighted water absorption rate change degree and the weighted crack width change degree of all sample groups, including:

[0031] The maximum value among all weighted water absorption rate changes is determined as the positive ideal solution of water absorption rate, the minimum value among all weighted water absorption rate changes is determined as the negative ideal solution of water absorption rate, the maximum value among all weighted crack width changes is determined as the positive ideal solution of crack width, and the minimum value among all weighted crack width changes is determined as the negative ideal solution of crack width;

[0032] The similarity coefficient of each sample group is determined based on the weighted water absorption rate change degree and the weighted crack width change degree of each sample group, as well as the positive ideal solution of water absorption rate, the negative ideal solution of water absorption rate, the positive ideal solution of crack width and the negative ideal solution of crack width.

[0033] Optionally, determining the similarity coefficient of each sample group based on the weighted water absorption change degree and the weighted crack width change degree of each sample group and the positive ideal water absorption solution, the negative ideal water absorption solution, the positive ideal crack width solution, and the negative ideal crack width solution, respectively, includes:

[0034] Determine any sample group as the current sample group;

[0035] Calculating the positive ideal distance of the current sample group according to the positive ideal solution for water absorption, the positive ideal solution for crack width, and the weighted degree of change in water absorption and the weighted degree of change in crack width of the current sample group;

[0036] Calculating the negative ideal distance of the current sample group according to the negative ideal solution of water absorption, the negative ideal solution of crack width, and the weighted degree of change of water absorption and the weighted degree of change of crack width of the current sample group;

[0037] The similarity coefficient of the current sample group is calculated based on the positive ideal distance and the negative ideal distance of the current sample group.

[0038] In a second aspect, the present application provides a computer device comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement any of the above-described methods for determining preparation parameters using the TOPSIS-based concrete self-healing performance evaluation technology.

[0039] In a third aspect, the present application provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements any of the above-mentioned methods for determining preparation parameters using the TOPSIS-based concrete self-healing performance evaluation technology.

[0040] In a fourth aspect, the present application provides a computer program product, comprising a computer program, which, when executed by a processor, implements any of the above-mentioned methods for determining preparation parameters using the TOPSIS-based concrete self-healing performance evaluation technology.

[0041] According to the specific embodiments provided in this application, this application discloses the following technical effects:

[0042] The present application discloses a method, device, medium and product for determining preparation parameters using a TOPSIS-based concrete self-healing performance evaluation technology. First, multiple groups of sample groups are prepared; then, performance tests are performed on each sample group, and the normalized water absorption rate change degree, normalized crack width change degree and normalized strength recovery degree of each sample group are obtained; secondly, based on the normalized water absorption rate change degree, normalized crack width change degree and normalized strength recovery degree of all sample groups, the water absorption rate recovery weight and the crack width healing weight are determined; then, based on the normalized water absorption rate change degree, normalized crack width change degree and normalized strength recovery degree of each sample group, the water absorption rate recovery weight and the crack width healing weight are determined; The normalized water absorption change degree and water absorption recovery weight of each sample group are used to determine the weighted water absorption change degree of each sample group, and the weighted crack width change degree of each sample group is determined based on the normalized crack width change degree and crack width healing weight of each sample group; again, the TOPSIS comprehensive analysis method is used to determine the similarity coefficient of each sample group based on the weighted water absorption change degree and weighted crack width change degree of all sample groups; finally, the preparation parameters of the sample group with the largest similarity coefficient are determined as the target parameters, and the target parameters are determined as the preparation parameters for concrete production. The similarity coefficient determined by the TOPSIS comprehensive analysis method in this application can be used to characterize the self-healing performance. The closer the similarity coefficient is to 1, the greater the self-healing performance is, which achieves a comprehensive evaluation of the self-healing performance of concrete and improves the self-healing performance of the prepared concrete. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] In order to more clearly illustrate the technical solutions in the embodiments of the present application or related technologies, the following briefly introduces the drawings required for use in the embodiments. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0044] Figure 1 A flow chart of a method for determining preparation parameters using TOPSIS-based concrete self-healing performance evaluation technology provided in one embodiment of the present application;

[0045] Figure 2 Schematic diagram of the results of the normalized water absorption rate change, the normalized crack width change, and the normalized strength recovery degree;

[0046] Figure 3 is the correlation coefficient heat map;

[0047] Figure 4 Schematic diagram of the difference between TOPSIS and strength recovery;

[0048] Figure 5 A schematic diagram of the structure of a computer device provided in one embodiment of the present application. DETAILED DESCRIPTION

[0049] The following will be combined with the drawings in the embodiments of this application to clearly and completely describe the technical solutions in the embodiments of this application. Obviously, the embodiments described are only part of the embodiments of this application, not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of this application.

[0050] The purpose of this application is to provide a method, device, medium and product for determining preparation parameters using TOPSIS-based concrete self-healing performance evaluation technology, aiming to achieve a comprehensive evaluation of concrete self-healing performance.

[0051] In order to make the above-mentioned purposes, features and advantages of the present application more obvious and easy to understand, the present application is further described in detail below with reference to the accompanying drawings and specific implementation methods.

[0052] In an exemplary embodiment, Figure 1 As shown, a method for determining preparation parameters using a TOPSIS-based concrete self-healing performance evaluation technology is provided, including:

[0053] Step 1: Prepare multiple groups of test samples.

[0054] The sample groups include precast cracked concrete samples and non-precast cracked concrete samples. Precast cracked concrete samples are concrete samples with cracks, while non-precast cracked concrete samples are concrete samples without cracks. The preparation parameters of the concrete samples in different sample groups are different, while the preparation parameters of the precast cracked concrete samples and non-precast cracked concrete samples in the same group are the same. The preparation parameters include the type of materials constituting the concrete samples and the mix ratio of the materials.

[0055] Step 2: Perform performance tests on each sample group separately, and obtain the normalized water absorption rate change, normalized crack width change, and normalized strength recovery degree of each sample group.

[0056] As an optional implementation, step 2 includes:

[0057] Step 21: Perform performance tests on the precast cracked concrete specimens in each specimen group. During the performance test, collect performance parameters of each precast cracked concrete specimen. The performance parameters of the precast cracked concrete specimen include: first load, first crack width, first water absorption rate, second crack width, second water absorption rate, and second load.

[0058] Specifically, a performance test is performed on any precast cracked concrete specimen. During the performance test, performance parameters of the precast cracked concrete specimen are collected, including:

[0059] Step 211: collecting the load of a uniaxial hydraulic press for preparing a precast cracked concrete sample to obtain a first load; collecting the initial crack width of the precast cracked concrete sample after preparation to obtain a first crack width.

[0060] Step 212: Perform the first water absorption test on the precast cracked concrete specimen. Regularly weigh and record the mass change of the precast cracked concrete specimen after water absorption, with the unit accurate to 0.01g. After obtaining the mass change, convert the mass into water absorption height according to the equivalent cross-sectional area of ​​the precast cracked concrete specimen. Finally, the recorded water absorption height and time s are used to calculate the water absorption height. 0.5 The ratio of represents the water absorption rate during the period, and the first water absorption rate is obtained.

[0061] Step 213: Waiting for a set period to allow the crack of the prefabricated cracked concrete sample to automatically become smaller, and collecting the crack width after the set period to obtain a second crack width.

[0062] Step 214: performing a second water absorption test on the precast cracked concrete specimen, and collecting the water absorption rate during the second water absorption test to obtain a second water absorption rate.

[0063] Step 215: Use a uniaxial hydraulic press to load the prefabricated cracked concrete specimen at an appropriate speed to expand the crack width to a preset target width that is larger than the previous first crack width, and collect the load of the uniaxial hydraulic press when the crack width reaches the preset target width to obtain a second load.

[0064] Step 22: Performing performance tests on the non-precast cracked concrete specimens in each specimen group. During the performance test, collecting performance parameters of each non-precast cracked concrete specimen; the performance parameters of the non-precast cracked concrete specimen include: a third water absorption rate and a fourth water absorption rate.

[0065] Specifically, a performance test is performed on any unprefabricated cracked concrete specimen. During the performance test, performance parameters of the unprefabricated cracked concrete specimen are collected, including:

[0066] Step 221: performing a first water absorption test on the non-precast cracked concrete sample, and collecting the water absorption rate during the first water absorption test to obtain a third water absorption rate.

[0067] Step 222: After the first water absorption performance test of the non-prefabricated cracked concrete sample is completed, it is taken out of the water, and after waiting for a set period, the second water absorption performance test of the non-prefabricated cracked concrete sample is performed, and the water absorption rate during the second water absorption performance test is collected to obtain a fourth water absorption rate.

[0068] Step 23: Calculate the degree of change in the original water absorption of each sample group based on the first water absorption rate, the second water absorption rate, the third water absorption rate, and the fourth water absorption rate in each sample group, and perform maximum and minimum normalization processing on the degree of change in the original water absorption of each sample group to obtain the normalized degree of change in water absorption of each sample group.

[0069] As an optional implementation, the calculation formula for the degree of change in the original water absorption rate includes:

[0070] Δw=(w1-w2)-(w3-w4).

[0071] Among them, Δw is the degree of change of the original water absorption rate; w1 is the first water absorption rate; w2 is the second water absorption rate; w3 is the third water absorption rate; and w4 is the fourth water absorption rate.

[0072] Step 24: Calculate the original crack width change degree of each sample group based on the first crack width and the second crack width in each sample group, and perform maximum and minimum normalization processing on the original crack width change degree of each sample group to obtain the normalized crack width change degree of each sample group.

[0073] As an optional implementation, the calculation formula for the degree of change in the original crack width includes:

[0074]

[0075] Wherein, Δc is the degree of change of the original crack width; c1 is the first crack width; and c2 is the second crack width.

[0076] Step 25: Calculate the original strength recovery degree of each sample group according to the first load and the second load in each sample group, and perform maximum and minimum normalization processing on the original strength recovery degree of each sample group to obtain the normalized strength recovery degree of each sample group.

[0077] Specifically, the calculation formula for the degree of recovery of original strength includes:

[0078]

[0079] Wherein, Δs is the degree of recovery of the original strength; s1 is the first load; and s2 is the second load.

[0080] Step 3: Determine the water absorption recovery weight and crack width healing weight based on the normalized water absorption change, normalized crack width change, and normalized strength recovery of all sample groups.

[0081] As an optional implementation, step 3 includes:

[0082] Step 31: Based on the normalized water absorption change and the normalized strength recovery of all sample groups, the correlation coefficient between the water absorption change and the strength recovery is calculated to obtain the water absorption recovery correlation coefficient.

[0083] Specifically, the calculation formula of the water absorption recovery correlation coefficient includes:

[0084]

[0085] Among them, r w is the water absorption recovery correlation coefficient; n is the total number of sample groups; W i (c) is the normalized water absorption change of the i-th sample group; is the mean of the normalized water absorption rate change of all sample groups; S i (c) is the normalized strength recovery degree of the i-th group of samples; is the mean of the normalized strength recovery degree of all sample groups.

[0086] Step 32: Based on the normalized crack width change degree and the normalized strength recovery degree of all sample groups, the correlation coefficient between the crack width change degree and the strength recovery degree is calculated to obtain the crack width healing correlation coefficient.

[0087] Specifically, the calculation formula of the crack width healing correlation coefficient includes:

[0088]

[0089] Among them, r c is the crack width healing correlation coefficient; C i (c) is the normalized crack width variation of the i-th group of specimens; is the mean of the normalized crack width variation of all sample groups.

[0090] Step 33: Calculate the water absorption recovery weight and the crack width healing weight based on the water absorption recovery correlation coefficient and the crack width healing correlation coefficient.

[0091] Specifically, the calculation formula for the water absorption recovery weight includes:

[0092]

[0093] Among them, α is the water absorption recovery weight; |r w | for r w The absolute value of r c | is the absolute value of .

[0094] The calculation formula of the crack width healing weight includes:

[0095]

[0096] Among them, β is the crack width healing weight.

[0097] Step 4: Determine the weighted water absorption change degree of each sample group based on the normalized water absorption change degree and water absorption recovery weight of each sample group, and determine the weighted crack width change degree of each sample group based on the normalized crack width change degree and crack width healing weight of each sample group.

[0098] Specifically, the calculation formula for the weighted water absorption change degree includes:

[0099] v wi =α·W i (c).

[0100] Among them, v wi is the weighted water absorption change of the i-th group of samples.

[0101] The calculation formula for the weighted crack width change degree includes:

[0102] v ci =β·C i (c).

[0103] Among them, v ci is the weighted crack width change of the i-th group of samples.

[0104] Step 5: Using the TOPSIS comprehensive analysis method, determine the similarity coefficient of each sample group based on the weighted changes in water absorption and crack width of all sample groups; the similarity coefficient is used to characterize the self-healing performance.

[0105] As an optional implementation, step 5 includes:

[0106] Step 51: Determine the maximum value among all weighted water absorption rate changes as the positive ideal solution of water absorption rate, determine the minimum value among all weighted water absorption rate changes as the negative ideal solution of water absorption rate, determine the maximum value among all weighted crack width changes as the positive ideal solution of crack width, and determine the minimum value among all weighted crack width changes as the negative ideal solution of crack width.

[0107] Step 52: Determine the similarity coefficient of each sample group based on the weighted water absorption rate change degree and the weighted crack width change degree of each sample group, as well as the positive ideal solution of water absorption rate, the negative ideal solution of water absorption rate, the positive ideal solution of crack width, and the negative ideal solution of crack width.

[0108] As an optional implementation, step 52 includes:

[0109] Step 521: Determine any sample group as the current sample group.

[0110] Step 522: Calculate the positive ideal distance of the current sample group based on the positive ideal solution of water absorption, the positive ideal solution of crack width, and the weighted water absorption change degree and weighted crack width change degree of the current sample group.

[0111] Specifically, the calculation formula for the positive ideal distance includes:

[0112]

[0113] in, is the positive ideal distance of the i-th group of samples; v wmax is the ideal solution for water absorption; v cmax is the ideal solution for the crack width.

[0114] Step 523: Calculate the negative ideal distance of the current sample group based on the negative ideal solution of water absorption, the negative ideal solution of crack width, and the weighted water absorption change degree and weighted crack width change degree of the current sample group.

[0115] Specifically, the calculation formula for the negative ideal distance includes:

[0116]

[0117] in, is the negative ideal distance of the i-th group of samples; v wmin is the negative ideal solution of water absorption; v cmin is the negative ideal solution for the crack width.

[0118] Step 524: Calculate the similarity coefficient of the current sample group according to the positive ideal distance and the negative ideal distance of the current sample group.

[0119] Specifically, the calculation formula of the similarity coefficient includes:

[0120]

[0121] Among them, F i is the similarity coefficient of the i-th sample group.

[0122] Step 6: Determine the preparation parameters of the sample group with the largest similarity coefficient as the target parameters, and determine the target parameters as the preparation parameters for concrete production.

[0123] After step 6, the Bland-Altman analysis method was used to evaluate the consistency between the similarity coefficients of each sample group and the normalized strength recovery degree, thereby verifying the accuracy of the method for determining the preparation parameters using the TOPSIS-based concrete self-healing performance evaluation technology.

[0124] In Bland-Altman analysis, the average of a data pair represents the general trend of the two data sets, while the difference reflects the deviation between the two data sets. Using a scatter plot, the average of the data pairs consisting of the similarity coefficient and the normalized intensity recovery degree of each sample group is plotted on the x-axis, and the difference is plotted on the y-axis. Consistency limits are set to determine whether the difference is within a reasonable range. The upper and lower limits are determined by the following formula:

[0125]

[0126] d i =F i -S i (c).

[0127] in, is the mean of the difference between the similarity coefficient of all sample groups and the normalized strength recovery degree; σ d is the standard deviation of the difference between the similarity coefficient of all sample groups and the normalized intensity recovery degree; d i is the difference between the similarity coefficient of the i-th group of samples and the normalized intensity recovery degree.

[0128] Through data analysis of the calculation results, if the majority of the different data points are within the consistency limits (upper and lower limits), it indicates that there is good consistency between the similarity coefficients of each sample group and the normalized strength recovery degree. If there are many data points outside the consistency limits, it indicates that there is a significant deviation between the similarity coefficients of each sample group and the normalized strength recovery degree.

[0129] Furthermore, relevant experiments were conducted using the method of the present application, and the method of the present application was explained by taking the self-healing test of concrete with different amounts of calcium nitrate, sodium silicate and crystalline admixture Xypex as an example.

[0130] 1. Experimental preparation and data collection.

[0131] In this test, CEM 52.5N Portland cement was used as the primary binder, with 20% of the cement replaced by slag powder. The maximum coarse aggregate size was 10 mm, and river sand was used as the fine aggregate. The water-cement ratio was set at 0.39, and a high-efficiency water reducer was used to maintain the consistency within 150 ± 30 mm. Aside from the high-efficiency water reducer, no other admixtures were added to the reference concrete (Ref). Concrete in the other test groups was prepared according to the mix design in Table 1, with the addition of various admixtures: calcium nitrate (CN-2, CN-3, CN-4, CN-6), water glass (SS-2, SS-4), and crystallizing admixtures (CA-3, CA-4, CA-6).

[0132] Ten sets of 100mm cubic specimens were cast according to the mix proportions in Table 1. The concrete specimens in each set were demolded one day after casting and cured for 28 days in a curing room at a temperature of 28°C ± 2°C and a humidity of 100%. After curing, the concrete specimens were tested for performance.

[0133] Table 1 Concrete test mix ratio

[0134]

[0135] First, crack width healing tests were conducted on precast cracked concrete specimens. After 28 days of curing, the specimens were loaded on a uniaxial hydraulic press at a rate of 0.01 mm / min to 0.05 mm / min, inducing cracks of 150 μm ± 50 μm. Three or more crack locations were calibrated using an electron microscope and recorded as the initial crack width test value.

[0136] Following the initial crack width healing test of precast cracked concrete specimens, water absorption tests were immediately conducted on both precast and unprecast cracked concrete specimens. Two sets of 100mm cubic specimens were polished smooth on the top and bottom surfaces, dried in a 50°C oven for three days, and then cured in a container at 28°C for 15 days. The sides of the specimens were then sealed with epoxy resin and the tops covered with plastic film, leaving a 2±1mm area at the bottom exposed to water. The changes in water absorption were then measured for the different specimen groups.

[0137] After completing the water absorption performance test of the two groups of specimens, all concrete specimens were placed in a water immersion environment to continue curing and healing, and the crack healing conditions of the same positions of the prefabricated cracked concrete specimens were observed and recorded weekly until the end of the new healing period of 28 days.

[0138] After the healing period, the crack width of the precast cracked concrete specimens was tested a second time using the same procedures as above. Following this second crack width test, the same water absorption test was performed on the precast cracked concrete specimens and the non-precast cracked concrete specimens to measure the change in water absorption between the specimen groups. The precast cracked concrete specimens were then tested for strength recovery.

[0139] During the concrete strength recovery test, a uniaxial hydraulic press was used to apply load at a rate of 0.01 mm / min to 0.05 mm / min until the existing crack in the center of the specimen expanded to approximately 300 μm ± 50 μm. The load at which the prefabricated crack reached the target width was used to determine the strength recovery of the concrete specimen. The experimental data obtained from the performance test are shown in Table 2.

[0140] Table 2 Test value table

[0141]

[0142] 2. Data normalization processing.

[0143] The normalized water absorption rate change, the normalized crack width change and the normalized strength recovery are shown in Figure 2. Figure 2 shown. Figure 2 In the figure, the larger the values ​​of the normalized water absorption rate change, the normalized crack width change, and the normalized strength recovery are, the closer they are to 1, indicating that the performance recovery degree of this group of samples is higher and the self-healing performance is stronger.

[0144] 3. To comprehensively analyze the performance characteristics of water absorption recovery and crack width recovery, the correlation coefficients are calculated based on the normalized water absorption change, the normalized crack width change, and the normalized strength recovery. Figure 3 The correlation coefficient heatmap is shown. Using the strength recovery degree as a reference, the water absorption recovery weight α and the crack width healing weight β were calculated: α = 0.63, β = 0.37. The water absorption recovery weight and the crack width healing weight differ significantly, nearly doubling. The greater water absorption recovery weight indicates a higher degree of healing of the concrete's internal crack damage.

[0145] 4. Based on the normalized water absorption change and the water absorption recovery weight, a weighted water absorption change was determined. Based on the normalized crack width change and the crack width healing weight, a weighted crack width change was determined. Using the TOPSIS comprehensive analysis method, similarity coefficients were determined for each sample group based on the weighted water absorption change and weighted crack width change for all sample groups. Finally, the similarity coefficients were used as TOPSIS scores for ranking. The closer the TOPSIS score is to 1, the better the self-healing performance of that sample group. The results are shown in Table 3. As shown in Table 3, CN-6 achieved the highest TOPSIS score, reaching 1, indicating self-healing performance far superior to other concretes under the other environmental conditions. Compared to the control group of ordinary concrete, CN-6's comprehensive score for both internal and external self-healing performance improved by more than three times.

[0146] Table 3 TOPSIS scores and rankings

[0147] Positive ideal distance Negative ideal distance TOPSIS score Ranking Ref 0.635 0.292 0.315 8 CN-2 0.558 0.269 0.325 6 CN-3 0.365 0.369 0.502 3 CN-4 0.634 0.299 0.320 7 CN-6 0 0.731 1 1 SS-2 0.474 0.334 0.413 4 SS-4 0.454 0.278 0.380 5 CA-3 0.563 0.249 0.307 9 CA-4 0.224 0.513 0.696 2 CA-6 0.666 0.068 0.092 10

[0148] 5. To verify the accuracy of the above analysis, the Bland-Altman method was used to compare and analyze the relationship between the TOPSIS score and the normalized strength recovery degree. The results are shown in the figure below. Figure 4 As shown. Figure 4 It can be seen that the average difference between the TOPSIS comprehensive score and the normalized strength recovery degree is -0.39, indicating that the TOPSIS score is slightly lower than the normalized strength recovery degree, and there is no obvious systematic deviation between the two overall. Its data consistency limits are 0.48 and -1.26. Except for one data point that is very close to the lower limit, the remaining points are between the upper and lower limits, indicating that the difference between the TOPSIS score and the normalized strength recovery degree is not serious. This shows that there is good consistency between the TOPSIS-based concrete self-healing ability comprehensive score and the normalized strength recovery degree, and also reflects that the method of this application is relatively accurate.

[0149] In an exemplary embodiment, a computer device is provided, comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement a method for determining preparation parameters using a TOPSIS-based concrete self-healing performance evaluation technique.

[0150] In an exemplary embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, a method for determining preparation parameters using a TOPSIS-based concrete self-healing performance evaluation technique is implemented.

[0151] In an exemplary embodiment, a computer program product is provided, comprising a computer program, which, when executed by a processor, implements a method for determining preparation parameters using a TOPSIS-based concrete self-healing performance evaluation technique.

[0152] In an exemplary embodiment, a computer device is provided. The computer device may be a server or a terminal. The internal structure diagram thereof may be as follows: Figure 5 As shown. The computer device includes a processor, a memory, an input / output interface (Input / Output, abbreviated as I / O) and a communication interface. The processor, the memory and the input / output interface are connected through a system bus, and the communication interface is connected to the system bus through the input / output interface. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The input / output interface of the computer device is used to exchange information between the processor and an external device. The communication interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a method for determining preparation parameters using a concrete self-healing performance evaluation technology based on TOPSIS is implemented.

[0153] Those skilled in the art will understand that Figure 5 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than shown in the figure, or combine certain components, or have a different component arrangement.

[0154] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with relevant regulations.

[0155] Those skilled in the art will understand that all or part of the processes in the above-mentioned embodiment methods can be implemented by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, database or other media used in the embodiments provided in this application may include at least one of non-volatile and volatile memory. Non-volatile memory may include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory may include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM may be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM).

[0156] The databases involved in the various embodiments provided herein may include at least one of a relational database and a non-relational database. Non-relational databases may include, but are not limited to, distributed databases based on blockchains. The processors involved in the various embodiments provided herein may include, but are not limited to, general-purpose processors, central processing units, graphics processing units, digital signal processors, programmable logic units, data processing logic units based on quantum computing, and the like.

[0157] The technical features of the above embodiments can be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0158] This document uses specific examples to illustrate the principles and implementation methods of this application. The above examples are only to help understand the method and core concept of this application. For those skilled in the art, based on the concept of this application, there may be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as limiting this application.

Claims

1. A method for determining preparation parameters using TOPSIS-based concrete self-healing performance evaluation technology, characterized in that: The method for determining preparation parameters using the TOPSIS-based concrete self-healing performance evaluation technology includes: Prepare multiple groups of specimens; the specimens include: precast cracked concrete specimens and non-precast cracked concrete specimens; the precast cracked concrete specimens are concrete specimens with cracks, and the non-precast cracked concrete specimens are concrete specimens without cracks; the preparation parameters of the concrete specimens in different groups of specimens are different, while the preparation parameters of the precast cracked concrete specimens and non-precast cracked concrete specimens in the same group are the same; the preparation parameters include: the type of materials constituting the concrete specimens and the mix ratio of the materials; Performing performance tests on each sample group, and obtaining the normalized water absorption rate change, the normalized crack width change, and the normalized strength recovery of each sample group; Based on the normalized water absorption rate change, normalized crack width change, and normalized strength recovery of all sample groups, the water absorption rate recovery weight and crack width healing weight are determined; Determining a weighted water absorption change degree for each sample group based on the normalized water absorption change degree and the water absorption recovery weight of each sample group, and determining a weighted crack width change degree for each sample group based on the normalized crack width change degree and the crack width healing weight of each sample group; Using the TOPSIS comprehensive analysis method, the similarity coefficient of each sample group is determined based on the weighted changes in water absorption and crack width of all sample groups; the similarity coefficient is used to characterize the self-healing performance; The preparation parameters of the sample group with the largest similarity coefficient are determined as target parameters, and the target parameters are determined as preparation parameters when producing concrete.

2. The method for determining preparation parameters using TOPSIS-based concrete self-healing performance evaluation technology according to claim 1, characterized in that: The performance tests are performed on each sample group respectively, and the normalized water absorption rate change, the normalized crack width change, and the normalized strength recovery of each sample group are obtained, including: The precast cracked concrete specimens in each specimen group are subjected to performance tests. During the performance tests, performance parameters of each precast cracked concrete specimen are collected. The performance parameters of the precast cracked concrete specimens include: a first load, a first crack width, a first water absorption rate, a second crack width, a second water absorption rate, and a second load. The performance test is performed on each unprecast cracked concrete sample in each sample group. During the performance test, the performance parameters of each unprecast cracked concrete sample are collected. The performance parameters of the unprecast cracked concrete sample include: the third water absorption rate and the fourth water absorption rate; Calculating the change in the original water absorption of each sample group based on the first water absorption, the second water absorption, the third water absorption, and the fourth water absorption in each sample group, and performing maximum and minimum normalization processing on the change in the original water absorption of each sample group to obtain the normalized change in water absorption of each sample group; Calculating the original crack width change degree of each sample group based on the first crack width and the second crack width in each sample group, and performing maximum and minimum normalization processing on the original crack width change degree of each sample group to obtain the normalized crack width change degree of each sample group; The original strength recovery degree of each sample group is calculated according to the first load and the second load in each sample group, and the original strength recovery degree of each sample group is normalized to the maximum and minimum to obtain the normalized strength recovery degree of each sample group.

3. The method for determining preparation parameters using TOPSIS-based concrete self-healing performance evaluation technology according to claim 2, characterized in that: The calculation formula for the degree of change in original water absorption includes: Δw=(w1-w2)-(w3-w4); Among them, Δw is the degree of change of the original water absorption rate; w1 is the first water absorption rate; w2 is the second water absorption rate; w3 is the third water absorption rate; and w4 is the fourth water absorption rate.

4. The method for determining preparation parameters using TOPSIS-based concrete self-healing performance evaluation technology according to claim 2, characterized in that: The calculation formula for the degree of change in the original crack width includes: Wherein, Δc is the degree of change of the original crack width; c1 is the first crack width; and c2 is the second crack width.

5. The method for determining preparation parameters using TOPSIS-based concrete self-healing performance evaluation technology according to claim 1, characterized in that: Based on the normalized water absorption change, normalized crack width change, and normalized strength recovery of all sample groups, the water absorption recovery weight and crack width healing weight are determined, including: Based on the normalized water absorption change and the normalized strength recovery of all sample groups, the correlation coefficient between the water absorption change and the strength recovery was calculated to obtain the water absorption recovery correlation coefficient. Based on the normalized crack width change and strength recovery of all sample groups, the correlation coefficient between the crack width change and strength recovery was calculated to obtain the crack width healing correlation coefficient. The water absorption recovery weight and the crack width healing weight are calculated based on the water absorption recovery correlation coefficient and the crack width healing correlation coefficient.

6. The method for determining preparation parameters using TOPSIS-based concrete self-healing performance evaluation technology according to claim 1, characterized in that: Using the TOPSIS comprehensive analysis method, the similarity coefficient of each sample group is determined based on the weighted water absorption rate change and weighted crack width change of all sample groups, including: The maximum value among all weighted water absorption rate changes is determined as the positive ideal solution of water absorption rate, the minimum value among all weighted water absorption rate changes is determined as the negative ideal solution of water absorption rate, the maximum value among all weighted crack width changes is determined as the positive ideal solution of crack width, and the minimum value among all weighted crack width changes is determined as the negative ideal solution of crack width; The similarity coefficient of each sample group is determined based on the weighted water absorption rate change degree and the weighted crack width change degree of each sample group, as well as the positive ideal solution of water absorption rate, the negative ideal solution of water absorption rate, the positive ideal solution of crack width and the negative ideal solution of crack width.

7. The method for determining preparation parameters using TOPSIS-based concrete self-healing performance evaluation technology according to claim 6, characterized in that: Determining the similarity coefficient of each sample group based on the weighted water absorption change degree and the weighted crack width change degree of each sample group, as well as the positive ideal water absorption solution, the negative ideal water absorption solution, the positive ideal crack width solution, and the negative ideal crack width solution, including: Determine any sample group as the current sample group; Calculating the positive ideal distance of the current sample group according to the positive ideal solution for water absorption, the positive ideal solution for crack width, and the weighted degree of change in water absorption and the weighted degree of change in crack width of the current sample group; Calculating the negative ideal distance of the current sample group according to the negative ideal solution of water absorption, the negative ideal solution of crack width, and the weighted degree of change of water absorption and the weighted degree of change of crack width of the current sample group; The similarity coefficient of the current sample group is calculated based on the positive ideal distance and the negative ideal distance of the current sample group.

8. A computer device comprising: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the method for determining preparation parameters using the TOPSIS-based concrete self-healing performance evaluation technology as described in any one of claims 1 to 7.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the method for determining preparation parameters by using the TOPSIS-based concrete self-healing performance evaluation technology as described in any one of claims 1 to 7 is implemented.

10. A computer program product comprising a computer program, characterized in that When the computer program is executed by a processor, the method for determining preparation parameters by using the TOPSIS-based concrete self-healing performance evaluation technology as described in any one of claims 1 to 7 is implemented.

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