Water conservancy project concrete quality monitoring method
By collecting and analyzing vibration data in the concrete rebound meter, correcting the rebound error parameters, and performing uniformity calculation of rebound strength index, the problem of test error of traditional concrete rebound meter is solved, and the accuracy of concrete quality monitoring is improved. reliability.
Patent Information
- Application Number
- CN202411658621.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-11-20
- Publication Date
- 2024-12-20
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
During the test, the traditional concrete rebound instrument has errors in the monitoring of concrete quality due to the vibration of manual holder and spring hammer. The existing technology has failed to effectively consider the impact of vibration and monitor the uniformity of the site, resulting in low accuracy.
By collecting vibration data during the hammer motion of the concrete rebound instrument, calculating the vibration rate and vibration amplitude, correcting the rebound error parameters, and uniformity calculation based on the rebound strength index of multiple monitoring sites, the concrete quality is obtained Monitor indicators and judge the quality of concrete prefabricated parts.
It significantly improves the accuracy of concrete quality monitoring, and can more accurately represent the overall quality uniformity of concrete prefabricated parts, avoiding overall qualification judgment caused by local defects.
Smart Images
Figure CN119164808A_ABST
Abstract
Description
Technical Field
[0001] The invention relates to the technical field of concrete testing, and in particular to a method for monitoring the quality of concrete in a water conservancy project. Background Art
[0002] River slope protection is a hydraulic engineering structure that plays an important role in soil and water conservation by reducing soil erosion, protecting and improving soil structure. It is an indispensable process in hydraulic engineering. In the process of river slope protection, concrete precast parts with suitable materials and shapes are selected according to the river conditions. By reasonably paving the concrete precast parts on the slope, a stable concrete overall structure is formed between the concrete precast parts, thereby improving the anti-scouring ability of the river flow and reducing the probability of adverse phenomena such as soil erosion. Therefore, it is of great significance to monitor the quality of concrete precast parts in the process of river slope protection.
[0003] The quality monitoring of precast concrete parts in existing water conservancy projects is often completed by concrete rebound testers. For batches of precast concrete parts, multiple samples are selected for rebound testing, and multiple monitoring points are set on the concrete surface of each sample. When testing the monitoring points, the concrete rebound tester is perpendicular to the concrete surface, and the internal rebound spring drives the rebound hammer to give the concrete surface a certain kinetic energy, which then rebounds through the concrete surface, causing the rebound hammer to rebound a certain displacement. The larger the displacement, the larger the measured rebound value, which means that the compressive resistance of the concrete is better, and then the strength quality of the concrete is higher.
[0004] However, the traditional concrete rebound tester is manually held during the test, and the spring hammer has a large impact force when hitting the concrete surface, which causes the spring hammer to vibrate during the rebound process. The vibration consumes part of the spring hammer's rebound capacity, reducing the rebound displacement and causing errors in concrete quality monitoring. Therefore, a more accurate method for monitoring the quality of water conservancy projects concrete is needed. Summary of the invention
[0005] In order to solve the above technical problems, the purpose of the present invention is to provide a method for monitoring the quality of concrete in water conservancy projects. In order to achieve the above purpose, the technical solution adopted by the present invention is as follows: In a first aspect, the present application provides a method for monitoring the quality of concrete in a water conservancy project, the method comprising: using a concrete rebound tester to perform rebound quality tests on multiple monitoring sites respectively, and obtaining test data corresponding to each of the monitoring sites, wherein all of the monitoring sites are located on the same precast concrete part, and the test data comprises rebound measurement values and vibration data, and the vibration data is obtained by collecting the movement process of the impact hammer of the concrete rebound tester by a vibration sensor during the rebound quality test; the rebound error parameter corresponding to each monitoring site is calculated based on the vibration rate and vibration amplitude of the vibration data corresponding to each of the monitoring sites; the rebound strength index corresponding to each of the monitoring sites is calculated based on the rebound error parameter and the rebound measurement value corresponding to each of the monitoring sites; the concrete quality monitoring index is obtained by performing uniformity calculation based on all the rebound strength indices; and the quality monitoring result of the precast concrete part is obtained by judging based on the concrete quality monitoring index.
[0006] In combination with the first aspect, in a possible implementation, a rebound error parameter corresponding to each monitoring site is calculated based on the vibration rate and vibration amplitude of the vibration data corresponding to each monitoring site, including: converting the vibration data into a curve according to a time series to obtain a vibration time domain curve; dividing the vibration time domain curve into intervals according to preset time intervals to obtain vibration sub-curves corresponding to at least two time intervals; calculating the vibration error degree corresponding to each time interval based on the difference in vibration rate and vibration amplitude within each time interval; and obtaining a rebound error parameter based on the average calculation of the vibration error degrees corresponding to all the time intervals.
[0007] In combination with the first aspect, in a possible implementation method, the vibration error degree corresponding to each time interval is calculated based on the difference between the vibration sub-curves corresponding to each time interval, including: counting the maximum vibration amplitude in the vibration time domain curve and the arc length of each vibration sub-curve; calculating the vibration rate corresponding to each time interval based on the arc length of each vibration sub-curve and a preset time interval; performing mean calculations on the vibration sub-curves corresponding to each time interval to obtain the vibration amplitude mean corresponding to each time interval; calculating the vibration amplitude evaluation value corresponding to each time interval based on the vibration amplitude mean and the maximum vibration amplitude corresponding to each time interval; and calculating the vibration error degree corresponding to each time interval based on the vibration amplitude evaluation value and the vibration rate corresponding to each time interval.
[0008] In combination with the first aspect, in a possible implementation, the test data also includes displacement data, and the displacement data is obtained by collecting the movement process of the impact hammer of the concrete rebound tester in the rebound quality test by a displacement sensor, and the rebound error parameter corresponding to each monitoring site is calculated based on the vibration rate and vibration amplitude of the vibration data corresponding to each monitoring site, including: converting the vibration data and the displacement data into a vibration time domain curve and a displacement time domain curve according to a time series; dividing the vibration time domain curve and the displacement time domain curve into intervals according to a preset time interval to obtain a vibration sub-curve and a displacement sub-curve corresponding to at least two time intervals; calculating the vibration error degree corresponding to each time interval based on the difference between the vibration sub-curves corresponding to each time interval; calculating the rebound rate corresponding to each time interval based on the displacement sub-curve corresponding to each time interval; using the rebound rate corresponding to each time interval as a weight to correct and update the vibration error degree; and obtaining the rebound error parameter by average calculation based on the vibration error degrees corresponding to all the time intervals.
[0009] In combination with the first aspect, in a possible implementation, the rebound rate corresponding to each time interval is calculated based on the displacement sub-curve corresponding to each time interval, including: calculating the displacement difference based on the displacement sub-curve; and calculating the rebound rate based on the displacement difference and a preset time interval.
[0010] In combination with the first aspect, in a possible implementation, a concrete quality monitoring index is obtained based on uniformity calculation of all the rebound strength indices, including: obtaining a rebound strength index mean by average calculation based on all the rebound strength indices; and obtaining a concrete quality monitoring index by calculating the difference between each rebound strength index and the rebound strength index mean.
[0011] In combination with the first aspect, in a possible implementation method, the quality monitoring result of the precast concrete part is obtained based on the concrete quality monitoring index, including: when the concrete quality monitoring index is less than or equal to a preset value, the quality monitoring result of the precast concrete part is unqualified, otherwise the quality monitoring result of the precast concrete part is qualified.
[0012] In combination with the first aspect, in a possible implementation manner, the preset value is 0.6.
[0013] In combination with the first aspect, in a possible implementation manner, the monitoring sites are obtained by dividing the precast concrete parts using a grid method.
[0014] In the second aspect, the present application provides a method for monitoring the quality of concrete in a water conservancy project, the method comprising: using a concrete rebound tester to perform rebound quality tests on multiple monitoring sites respectively, and obtaining test data corresponding to each of the monitoring sites, all of the monitoring sites are located on the same precast concrete part, the test data comprising rebound measurement values, vibration data and deflection angles, the vibration data being obtained by collecting the movement process of the impact hammer of the concrete rebound tester during the rebound quality test by a vibration sensor, and the deflection angle being obtained by collecting the angle between the impact hammer of the concrete rebound tester and the plane of the precast concrete part when it hits the monitoring site by an electronic angle meter; the rebound error parameter corresponding to each monitoring site is calculated based on the vibration rate and vibration amplitude of the vibration data corresponding to each of the monitoring sites; the rebound error parameter is corrected and updated based on the deflection angle corresponding to each of the monitoring sites; the rebound strength index is calculated based on the rebound error parameter and rebound measurement value corresponding to each of the monitoring sites; the concrete quality monitoring index is obtained by performing uniformity calculation based on all the rebound strength indices; the quality monitoring result of the precast concrete part is obtained by judging based on the concrete quality monitoring index.
[0015] The present invention has the following beneficial effects: The present invention first calculates the rebound error parameter of each monitoring point according to the vibration rate and vibration amplitude characteristics of the vibration data during the rebound process of the impact hammer, and calculates the final quality monitoring index of the concrete based on the uniformity of the rebound strength index of multiple monitoring points. Compared with the prior art method of taking the average of the judgment results of all monitoring points, the present invention can better represent the overall quality uniformity of the concrete precast parts, thereby significantly improving the accuracy of quality monitoring. BRIEF DESCRIPTION OF THE DRAWINGS
[0016] In order to more clearly illustrate the technical solutions and advantages in the embodiments of the present invention or the prior art, the drawings required for use in the embodiments or the prior art descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.
[0017] Figure 1 A schematic flow chart of a method for monitoring concrete quality in a water conservancy project provided in Embodiment 1 of the present invention; Figure 2 A schematic flow chart of step S2 provided in Example 1 of the present invention; Figure 3 A schematic flow chart of step S4 provided in Example 1 of the present invention; Figure 4 A schematic flow chart of a method for monitoring concrete quality in a water conservancy project provided in Embodiment 2 of the present invention; Figure 5 A schematic flow chart of step A2 provided in Embodiment 2 of the present invention; Figure 6 A schematic flow chart of a method for monitoring concrete quality in a water conservancy project provided in Embodiment 3 of the present invention. DETAILED DESCRIPTION
[0018] In order to further explain the technical means and effects adopted by the present invention to achieve the predetermined invention purpose, the following is a detailed description of a method for monitoring the quality of concrete in a water conservancy project proposed by the present invention, its specific implementation method, structure, features and effects, in conjunction with the accompanying drawings and preferred embodiments. In the following description, different "one embodiment" or "another embodiment" does not necessarily refer to the same embodiment. In addition, specific features, structures or characteristics in one or more embodiments may be combined in any suitable form.
[0019] Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.
[0020] First, the application scenario of this article is introduced: River slope protection is a common project in water conservancy projects. The river slope protection project realizes an overall concrete slope protection system with good stability through the effective paving of multiple precast concrete parts. The high-quality precast concrete part structure can improve the slope protection life of the river slope protection. Therefore, it is very necessary to monitor the quality of the precast concrete parts selected in the process of river slope protection.
[0021] At the same time, in the prior art, the quality monitoring of concrete precast parts for river bank protection is often completed by concrete rebound tester. After the production of concrete precast parts is completed, the concrete precast parts are randomly sampled for quality testing. During the test, multiple monitoring sites are set on the concrete test surface. For a single monitoring site, the concrete rebound tester works at an angle perpendicular to the concrete test surface. By stretching the spring, the rebound hammer is given a certain initial kinetic energy, and then the rebound hammer hits the monitoring site. The monitoring site on the concrete surface will give the rebound hammer a certain rebound ability, causing the rebound hammer to rebound, and then the quality is judged according to the rebound displacement of the rebound hammer. The larger the rebound displacement, the greater the rebound ability of the concrete, and the better the surface strength quality of the concrete.
[0022] However, the existing technology does not consider the vibration effect during the rebound process of the impact hammer, and only analyzes the average of the test results of all monitoring points on the concrete surface without analyzing the uniformity of the test results of each monitoring point, resulting in low accuracy of concrete quality monitoring. Therefore, this article analyzes and judges the rebound quality monitoring method of the concrete surface in combination with the scenario. See the following content for details.
[0023] A concrete rebound tester is used to perform rebound quality tests on multiple monitoring sites respectively, and test data corresponding to each monitoring site is obtained, and all the monitoring sites are located on the same concrete precast part. The test data includes rebound measurement value, vibration data, displacement data and deflection angle. The vibration data is obtained by collecting the movement process of the concrete rebound tester's hammer in the rebound quality test by a vibration sensor, the displacement data is obtained by collecting the movement process of the concrete rebound tester's hammer in the rebound quality test by a displacement sensor, and the deflection angle is the angle of the concrete rebound tester's hammer hitting the monitoring site by an electronic angle meter; The specific scheme of the water conservancy project concrete quality monitoring method provided by the present invention is described in detail below in conjunction with the accompanying drawings.
[0024] Embodiment 1: See also Figure 1 , which shows a schematic flow chart of a method for monitoring the quality of concrete in a water conservancy project provided by an embodiment of the present invention, which specifically includes steps S1 to S5.
[0025] S1. Perform rebound quality tests on multiple monitoring sites using a concrete rebound tester to obtain test data corresponding to each monitoring site. All the monitoring sites are located on the same precast concrete part. The test data include rebound measurement values and vibration data. The vibration data is obtained by collecting the movement process of the impact hammer of the concrete rebound tester during the rebound quality test by a vibration sensor.
[0026] In the process of monitoring the precast concrete parts, it is very important to select appropriate monitoring sites. In order to ensure the accuracy and reliability of the monitoring results, this embodiment recommends that multiple monitoring sites be evenly distributed on the surface of the precast concrete parts. The specific location of the monitoring site should be appropriately adjusted according to the size and shape of the precast concrete parts to ensure that each monitoring site can effectively reflect the overall condition of the precast concrete parts.
[0027] To achieve the above goals, the monitoring sites can be divided by grid method or random distribution method. The grid method divides the surface of the precast concrete part into regular grids and sets monitoring sites at each grid intersection to ensure that the monitoring sites are evenly distributed on the entire surface of the precast concrete part and fully cover all parts of the precast concrete part. The random distribution method randomly selects a certain number of points as monitoring sites to ensure the randomness and representativeness of the monitoring points.
[0028] Through the above two methods, we can get Monitoring sites are selected to ensure comprehensiveness and representativeness of the monitoring sites. The selection and distribution of monitoring sites need to be carefully planned and adjusted to ensure the representativeness and integrity of the test data. Only in this way can the quality and performance of prefabricated parts be accurately evaluated through monitoring data, providing reliable data support for subsequent steps.
[0029] S2. Calculate the rebound error parameter corresponding to each monitoring location based on the vibration rate and vibration amplitude of the vibration data corresponding to each monitoring location.
[0030] In the present embodiment, by taking into account that during the process of the concrete rebound quality test on a single monitoring point of a precast concrete part by the concrete rebound instrument, the hammer may vibrate during the rebound process, causing part of the rebound energy to be consumed, thereby making the rebound measurement value of the hammer smaller, this step constructs the vibration time domain curve of the hammer during the rebound process, and then analyzes the vibration time domain curve to obtain the vibration rate and vibration amplitude, thereby calculating the vibration error degree of the hammer during the rebound process.
[0031] In this embodiment, the vibration phenomenon that may occur in the rebound process of the impact hammer is considered when the concrete rebound tester performs a single-point rebound quality test on the sample concrete. This vibration phenomenon will cause the loss of part of the rebound energy, thereby affecting the rebound measurement value of the impact hammer, causing the value to be smaller. In order to accurately evaluate this impact, this embodiment constructs a vibration time domain curve of the impact hammer during the rebound process. Through a detailed analysis of the vibration time domain curve, relevant data on the vibration rate and vibration amplitude are obtained. Based on these data, the degree of vibration error of the impact hammer during the rebound process is further calculated to ensure the accuracy of the rebound quality test results.
[0032] Specifically, see Figure 2 , the figure shows that step S2 also includes steps S21 to S24.
[0033] S21, converting the vibration data into a curve according to a time sequence to obtain a vibration time domain curve.
[0034] Specifically, in this embodiment, the vibration time domain curve is placed in a two-dimensional coordinate system with the horizontal axis being time and the vertical axis being vibration amplitude.
[0035] S22. Divide the vibration time domain curve into intervals according to preset time intervals to obtain vibration sub-curves corresponding to at least two time intervals.
[0036] It should be noted that, in this embodiment, the preset time interval is 1 millisecond. Vibration value within 1 millisecond, where is a positive integer, and its specific value depends on the collection time of the vibration data.
[0037] S23. Calculate the vibration error degree corresponding to each of the time intervals based on the difference in vibration rate and vibration amplitude within each of the time intervals.
[0038] In this embodiment, the change of each vibrator curve during the vibration process is considered to be determined by the fact that the vibration characteristics of the hammer at this time depend on the vibration rate and the vibration amplitude. Therefore, see steps S231 to S235 for details.
[0039] S231, statistical vibration time domain curve of the maximum vibration amplitude and the arc length of each of the oscillator curves.
[0040] S232: Calculate the vibration rate corresponding to each of the time intervals based on the arc length of each of the vibration sub-curves and a preset time interval.
[0041] It should be noted that the method for calculating the rate is a prior art, so it will not be described in detail in this embodiment.
[0042] S233, respectively performing mean calculation on the vibration sub-curve corresponding to each of the time intervals to obtain a mean value of the vibration amplitude corresponding to each of the time intervals.
[0043] S234. Calculate the vibration amplitude evaluation value corresponding to each of the time intervals based on the vibration amplitude mean and the maximum vibration amplitude corresponding to each of the time intervals.
[0044] Specifically, the vibration amplitude evaluation value corresponding to each time interval is calculated as follows: Where: Indicates The vibration amplitude evaluation value of the time interval; Indicates The mean value of the vibration amplitude in the time interval; Indicates the maximum vibration amplitude in the vibration time domain curve, is a positive integer, and .
[0045] In the above calculation formula, the vibration amplitude in each time interval is calculated to obtain the average value, which represents the vibration amplitude of the hammer in the time interval. Then, the average value is compared with the maximum vibration amplitude reached by the hammer during the entire rebound quality test process to obtain the compression ratio of the hammer during the rebound process in the time interval. The compression ratio reflects the dynamic characteristics of the hammer during the rebound process.
[0046] S235. Calculate the vibration error degree corresponding to each of the time intervals based on the vibration amplitude evaluation value and the vibration rate corresponding to each of the time intervals.
[0047] In this embodiment, the two key indicators of vibration amplitude and vibration rate in each time interval are focused on. When the vibration amplitude in a certain time interval is large, it indicates that the vibration intensity in this interval is higher. At the same time, the vibration rate, that is, how fast the vibration changes, is also considered. If the vibration rate is fast, it indicates that the vibration changes rapidly. Combining these two factors can be confirmed: if the vibration amplitude in a certain time interval is large and the vibration rate is fast, the vibration in this interval is very violent. This violent vibration may have a significant impact on the measurement accuracy of the impact hammer, thereby increasing the measurement error. Therefore, by calculating and analyzing the vibration amplitude and vibration rate in each time interval, the degree of vibration error in each time interval can be evaluated, providing a basis for subsequent error correction and optimization. Specifically, the calculation formula for the degree of vibration error corresponding to each time interval is as follows: Where: Indicates the vibration error degree corresponding to the nth time interval; represents the maximum and minimum normalized function; represents the vibration amplitude evaluation value corresponding to the nth time interval; Indicates the vibration rate of the nth interval in the vibration time domain curve.
[0048] S24, performing mean calculation based on the vibration error degrees corresponding to all the time intervals to obtain a rebound error parameter.
[0049] In this embodiment, since the mean value calculation is a prior art, the specific details are not repeated to avoid repetition and redundancy.
[0050] S3. Calculate the rebound strength index corresponding to each monitoring site based on the rebound error parameter and the rebound measurement value corresponding to each monitoring site.
[0051] The rebound strength index calculation formula is as follows: Where: Represents the rebound strength index corresponding to a single monitoring site; Represents the rebound measurement value corresponding to a single monitoring site; Represents the rebound error parameter corresponding to a single monitoring site.
[0052] In the above calculation formula, the rebound measurement value is corrected by integrating the vibration data during the rebound process to ensure that the measurement results of each measuring point are closer to the actual situation.
[0053] S4. Perform uniformity calculation based on all the rebound strength indices to obtain a concrete quality monitoring index.
[0054] See also Figure 3 , the figure shows that this step also includes step S41 and step S42.
[0055] S41. Calculate the average of all the rebound strength indices to obtain the average rebound strength index.
[0056] S42. Calculate a concrete quality monitoring index based on the difference between each of the rebound strength indices and the rebound strength indices average.
[0057] Specifically, the calculation formula of the concrete quality monitoring index in this step is as follows: Where: Indicates the concrete quality monitoring index; represents the maximum and minimum normalized function; Indicates the number of monitoring sites; Indicates The rebound strength index corresponding to each monitoring site; It represents the mean value of the rebound strength index on the concrete precast parts; A non-zero constant that prevents the denominator of the calculation from being zero.
[0058] In the above calculation formula, the final concrete quality monitoring index of the concrete precast is obtained by analyzing and calculating the uniformity of the rebound strength index of multiple monitoring points on the concrete precast. Compared with the existing method of simply taking the average of the measurement results of all monitoring points, it can better represent the overall quality uniformity of the concrete precast and improve the quality monitoring accuracy. It can effectively avoid the situation where the quality is judged as qualified when the local quality is poor.
[0059] In the above calculation formula, the rebound strength index of multiple monitoring sites on the precast concrete parts is analyzed and calculated. These monitoring sites are evenly distributed in different parts of the precast parts to ensure the comprehensiveness and representativeness of the data. Compared with the existing technology, the existing technology usually simply takes an average value of the measurement results of all monitoring sites. Although this method is simple, it often cannot truly reflect the overall quality uniformity of the precast concrete parts and ignores the quality uniformity of each monitoring site on the concrete. If the uniformity is poor, the overall quality of the concrete will also decrease, which will lead to the quality monitoring accuracy of the traditional concrete rebound tester is not high enough. In contrast, the monitoring indicators calculated by uniformity analysis can better represent the overall quality of the precast concrete parts, thereby significantly improving the accuracy of quality monitoring. This method can effectively avoid the situation where the overall quality is judged to be qualified only because of local poor quality, thereby ensuring that the quality of the precast concrete parts is more reliable and consistent.
[0060] S5. Obtaining a quality monitoring result of the precast concrete part based on the concrete quality monitoring index.
[0061] Among them, in this embodiment, when the concrete quality monitoring index is less than or equal to a preset value, the quality monitoring result of the precast concrete part is unqualified, otherwise the quality monitoring result of the precast concrete part is qualified. In this embodiment, the preset value is preferably 0.6. At the same time, for those skilled in the art, other values can also be selected, and no specific limitation is made in this embodiment.
[0062] Embodiment 2: See also Figure 4 , which shows a schematic flow chart of a method for monitoring the quality of concrete in a water conservancy project provided by an embodiment, and specifically includes steps A1 to A5.
[0063] A1. Use a concrete rebound tester to perform rebound quality tests on multiple monitoring locations respectively to obtain test data corresponding to each monitoring location. All the monitoring locations are located on the same precast concrete part. The test data include rebound measurement values and vibration data. The vibration data is obtained by collecting the movement process of the impact hammer of the concrete rebound tester during the rebound quality test by a vibration sensor.
[0064] In the process of monitoring the precast concrete parts, it is very important to select appropriate monitoring sites. In order to ensure the accuracy and reliability of the monitoring results, this embodiment recommends that multiple monitoring sites be evenly distributed on the surface of the precast concrete parts. The specific location of the monitoring site should be appropriately adjusted according to the size and shape of the precast concrete parts to ensure that each monitoring site can effectively reflect the overall condition of the precast concrete parts.
[0065] To achieve the above goals, the monitoring sites can be divided by grid method or random distribution method. The grid method divides the surface of the precast concrete part into regular grids and sets monitoring sites at each grid intersection to ensure that the monitoring sites are evenly distributed on the entire surface of the precast concrete part and fully cover all parts of the precast concrete part. The random distribution method randomly selects a certain number of points as monitoring sites to ensure the randomness and representativeness of the monitoring points.
[0066] Through the above two methods, we can get Monitoring sites are selected to ensure comprehensiveness and representativeness of the monitoring sites. The selection and distribution of monitoring sites need to be carefully planned and adjusted to ensure the representativeness and integrity of the test data. Only in this way can the quality and performance of prefabricated parts be accurately evaluated through monitoring data, providing reliable data support for subsequent steps.
[0067] A2. Calculate the rebound error parameter corresponding to each monitoring location based on the vibration rate and vibration amplitude of the vibration data corresponding to each monitoring location.
[0068] In this implementation, by taking into account that during the process of the concrete rebound tester conducting a rebound quality test on a single monitoring point of the sample concrete, the hammer will vibrate during the rebound process, causing part of the rebound energy to be consumed, thereby making the final rebound displacement of the hammer smaller. Therefore, this step constructs the vibration time domain curve of the hammer during the rebound process, and then analyzes the vibration time domain curve to obtain the vibration rate and vibration amplitude, so as to calculate the vibration error degree of the hammer during the rebound process. At the same time, considering that during the rebound process, the rebound rate of the hammer at different moments is different, and for moments with a faster rebound rate, even a smaller vibration will bring a larger rebound error. Therefore, it is necessary to use the period with a fast rebound rate as a high-frequency analysis period, and correct the vibration error degree in combination with the rebound rate during this period. Specifically, see Figure 5 , the figure shows that step A2 also includes steps A21 to A26.
[0069] In the present embodiment, by taking into account that during the process of the concrete rebound quality test on a single monitoring point of a precast concrete part by the concrete rebound instrument, the hammer may vibrate during the rebound process, causing part of the rebound energy to be consumed, thereby affecting the rebound measurement value of the hammer and causing the value to be too small. Therefore, this step constructs the vibration time domain curve of the hammer during the rebound process, and then analyzes the vibration time domain curve to obtain the vibration rate and vibration amplitude, thereby calculating the degree of vibration error of the hammer during the rebound process.
[0070] In this embodiment, the vibration phenomenon that may occur in the rebound process of the impact hammer is considered when the concrete rebound tester performs a single-point rebound quality test on the sample concrete. This vibration phenomenon will cause the loss of part of the rebound energy, thereby affecting the rebound measurement value of the impact hammer, causing the value to be smaller. In order to accurately evaluate this impact, this embodiment constructs a vibration time domain curve of the impact hammer during the rebound process. Through a detailed analysis of the vibration time domain curve, relevant data on the vibration rate and vibration amplitude are obtained. Based on these data, the degree of vibration error of the impact hammer during the rebound process is further calculated to ensure the accuracy of the rebound quality test results.
[0071] In addition, this embodiment also takes into account that during the rebound process, the rebound rate of the impact hammer at different time points is different. In particular, when the rebound rate is fast, even a small vibration may cause a large rebound error. Therefore, this embodiment focuses on analyzing the time interval with a faster rebound rate. The degree of vibration error is corrected in combination with the rebound rate of these time intervals to ensure the accuracy of the rebound test results. In this way, this embodiment can more accurately evaluate the rebound quality of concrete, thereby improving the detection accuracy and reliability of concrete structures.
[0072] A21. Convert the vibration data and the displacement data into a curve according to a time sequence to obtain a vibration time domain curve and a displacement time domain curve.
[0073] Specifically, in this embodiment, the vibration time domain curve is placed in a two-dimensional coordinate system with the horizontal axis being time and the vertical axis being vibration amplitude. Similarly, the displacement time domain curve is placed in a two-dimensional coordinate system with the horizontal axis being time and the vertical axis being displacement.
[0074] A22. Divide the vibration time domain curve and the displacement time domain curve into intervals according to preset time intervals to obtain vibration sub-curves and displacement sub-curves corresponding to at least two time intervals.
[0075] It should be noted that, in this embodiment, the preset time interval is 1 millisecond. Vibration value within 1 millisecond, where is a positive integer, and its specific value depends on the collection time of the vibration data.
[0076] A23. Calculate the vibration error degree corresponding to each of the time intervals based on the difference in vibration rate and vibration amplitude in each of the time intervals.
[0077] Since the execution process of step A23 of this embodiment is the same as step S2 provided in embodiment 1, this embodiment will not be described in detail.
[0078] A24. Calculate the rebound rate corresponding to each time interval based on the displacement sub-curve corresponding to each time interval.
[0079] Specifically, this step S24 includes step A241 and step A242.
[0080] A241. Calculate the displacement difference based on the displacement sub-curve.
[0081] A242. The rebound rate is calculated based on the displacement difference and the preset time interval.
[0082] A25. Use the rebound rate corresponding to each of the time intervals as a weight to correct and update the vibration error degree.
[0083] In this embodiment, the faster the rebound rate, the greater the measurement error caused by vibration in the same time interval. Therefore, the rebound rate is used as the analysis weight to update the vibration error degree of each time interval. The updating formula of the vibration error degree in a time interval is as follows: Where: Indicates The degree of vibration error after correction in each time interval; Indicates The rebound rate of a time interval; Indicates The vibration error degree corresponding to the time interval.
[0084] A26. Perform mean calculation based on the vibration error degrees corresponding to all the time intervals to obtain a rebound error parameter.
[0085] It should be noted that the mean value calculation is a prior art, so it will not be described in detail in this embodiment.
[0086] A3. Calculate the rebound strength index corresponding to each monitoring site based on the rebound error parameter and the rebound measurement value corresponding to each monitoring site.
[0087] Since the execution process of step A3 of this embodiment is the same as step S3 provided in embodiment 1, this embodiment will not be described in detail.
[0088] A4. Perform uniformity calculation based on all the rebound strength indices to obtain concrete quality monitoring indicators.
[0089] Since the execution process of step A4 of this embodiment is the same as step S4 provided in embodiment 1, this embodiment will not be described in detail.
[0090] A5. Determine and obtain the quality monitoring result of the precast concrete parts based on the concrete quality monitoring index.
[0091] Since the execution process of step A5 of this embodiment is the same as step S5 provided in embodiment 1, this embodiment will not be described in detail.
[0092] Embodiment 3: See also Figure 6 , which shows a schematic flow chart of a method for monitoring the quality of concrete in a water conservancy project provided by an embodiment of the present invention, which specifically includes steps Step 1 to Step 6.
[0093] Step 1: Use a concrete rebound tester to perform rebound quality tests on multiple monitoring sites respectively to obtain test data corresponding to each monitoring site. All the monitoring sites are located on the same prefabricated concrete part. The test data includes rebound measurement values, vibration data and deflection angles. The vibration data is collected by the vibration sensor during the movement of the concrete rebound hammer in the rebound quality test, and the deflection angle The electronic angle meter collects the angle between the impact hammer of the concrete rebound test hammer and the plane of the concrete prefabricated part when it hits the monitoring point.
[0094] In the process of monitoring the precast concrete parts, it is very important to select appropriate monitoring sites. In order to ensure the accuracy and reliability of the monitoring results, this embodiment recommends that multiple monitoring sites be evenly distributed on the surface of the precast concrete parts. The specific location of the monitoring site should be appropriately adjusted according to the size and shape of the precast concrete parts to ensure that each monitoring site can effectively reflect the overall condition of the precast concrete parts.
[0095] To achieve the above goals, the monitoring sites can be divided by grid method or random distribution method. The grid method divides the surface of the precast concrete part into regular grids and sets monitoring sites at each grid intersection to ensure that the monitoring sites are evenly distributed on the entire surface of the precast concrete part and fully cover all parts of the precast concrete part. The random distribution method randomly selects a certain number of points as monitoring sites to ensure the randomness and representativeness of the monitoring points.
[0096] Through the above two methods, we can get Monitoring sites are selected to ensure comprehensiveness and representativeness of the monitoring sites. The selection and distribution of monitoring sites need to be carefully planned and adjusted to ensure the representativeness and integrity of the test data. Only in this way can the quality and performance of prefabricated parts be accurately evaluated through monitoring data, providing reliable data support for subsequent steps.
[0097] Step 2: Calculate the rebound error parameter corresponding to each monitoring point based on the vibration rate and vibration amplitude of the vibration data corresponding to each monitoring point.
[0098] In the present embodiment, by taking into account that during the process of the concrete rebound quality test on a single monitoring point of a precast concrete part by the concrete rebound instrument, the hammer may vibrate during the rebound process, causing part of the rebound energy to be consumed, thereby making the rebound measurement value of the hammer smaller, this step constructs the vibration time domain curve of the hammer during the rebound process, and then analyzes the vibration time domain curve to obtain the vibration rate and vibration amplitude, thereby calculating the vibration error degree of the hammer during the rebound process.
[0099] In this embodiment, the vibration phenomenon that may occur in the rebound process of the impact hammer is considered when the concrete rebound tester performs a single-point rebound quality test on the sample concrete. This vibration phenomenon will cause the loss of part of the rebound energy, thereby affecting the rebound measurement value of the impact hammer, causing the value to be smaller. In order to accurately evaluate this impact, this embodiment constructs a vibration time domain curve of the impact hammer during the rebound process. Through a detailed analysis of the vibration time domain curve, relevant data on the vibration rate and vibration amplitude are obtained. Based on these data, the degree of vibration error of the impact hammer during the rebound process is further calculated to ensure the accuracy of the rebound quality test results.
[0100] Since the execution process of step 2 of this embodiment is the same as step S2 provided in embodiment 1, this embodiment will not be described in detail.
[0101] Step 3: Based on the deflection angle corresponding to each monitoring point The springback error parameter is corrected and updated.
[0102] In this embodiment, the moment when the hammer strikes the monitoring site is taken into consideration. When the hammer deviates in angle during the impact process, the loss of the impact kinetic energy will increase. In other words, if the deviation angle The smaller the vibration error is, the smaller the actual impact kinetic energy is. Therefore, in this case, the rebound measurement value will be underestimated. In addition, the larger the degree of vibration error is, the more rebound energy is lost by vibration during the rebound process, which also leads to an underestimate of the rebound measurement value. Therefore, in order to more accurately evaluate the rebound measurement value, we compare the degree of vibration error with the offset angle. The sine value of is compared, and the vibration error degree is updated according to the comparison result. Specifically, in this step, the vibration error degree correction calculation formula is as follows: in, Indicates the degree of vibration error after correction; represents the maximum and minimum normalized function; Indicates the degree of vibration error before correction; Indicates the offset angle corresponding to a single monitoring site; represents the sine function; A non-zero constant that prevents the denominator of the calculation from being zero.
[0103] Step 4: Calculate the rebound strength index based on the rebound error parameter and the rebound measurement value corresponding to each monitoring point.
[0104] Since the execution process of step 4 of this embodiment is the same as step S3 provided in embodiment 1, this embodiment will not be described in detail.
[0105] Step 5: Perform uniformity calculation based on all the rebound strength indices to obtain concrete quality monitoring indicators.
[0106] Since the execution process of step 5 of this embodiment is the same as step S4 provided in embodiment 1, this embodiment will not be described in detail.
[0107] Step 6: Obtain the quality monitoring result of the precast concrete parts based on the concrete quality monitoring index.
[0108] Since the execution process of step 6 of this embodiment is the same as step S5 provided in embodiment 1, this embodiment will not be described in detail.
[0109] It should be noted that the sequence of the above embodiments of the present invention is only for description and does not represent the advantages and disadvantages of the embodiments. The processes depicted in the accompanying drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.
[0110] The various embodiments in this specification are described in a progressive manner, and the same or similar parts between the various embodiments can be referenced to each other, and each embodiment focuses on the differences from other embodiments.
Claims
1. A method for monitoring the quality of concrete in water conservancy projects. It is characterized in that The method comprises: A concrete rebound tester is used to perform rebound quality tests on multiple monitoring sites respectively, and test data corresponding to each monitoring site is obtained, and all the monitoring sites are located on the same prefabricated concrete part. The test data includes rebound measurement values and vibration data, and the vibration data is obtained by collecting the movement process of the impact hammer of the concrete rebound tester in the rebound quality test by a vibration sensor; The rebound error parameter corresponding to each monitoring point is calculated based on the vibration rate and vibration amplitude of the vibration data corresponding to each monitoring point; The rebound strength index corresponding to each monitoring site is calculated based on the rebound error parameter and the rebound measurement value corresponding to each monitoring site; Perform uniformity calculation based on all the rebound strength indexes to obtain a concrete quality monitoring index; The quality monitoring result of the precast concrete parts is determined based on the concrete quality monitoring index.
2. The method for monitoring the quality of concrete in water conservancy projects according to claim 1, It is characterized in that The rebound error parameter corresponding to each monitoring location is calculated based on the vibration rate and vibration amplitude of the vibration data corresponding to each monitoring location, including: Convert the vibration data into a time-domain curve according to the time series; Dividing the vibration time domain curve into intervals according to preset time intervals to obtain vibration sub-curves corresponding to at least two time intervals; The vibration error degree corresponding to each time interval is calculated based on the difference in vibration rate and vibration amplitude in each time interval; A rebound error parameter is obtained by performing mean calculation based on the vibration error degrees corresponding to all the time intervals.
3. The method for monitoring the quality of concrete in water conservancy projects according to claim 2, It is characterized in that The vibration error degree corresponding to each time interval is calculated based on the difference between the vibration sub-curves corresponding to each time interval, including: Counting the maximum vibration amplitude in the vibration time domain curve and the arc length of each vibration sub-curve; Calculating the vibration rate corresponding to each of the time intervals based on the arc length of each of the vibration sub-curves and a preset time interval; Performing mean calculation on the vibration sub-curve corresponding to each of the time intervals to obtain the mean value of the vibration amplitude corresponding to each of the time intervals; The vibration amplitude evaluation value corresponding to each time interval is calculated based on the vibration amplitude mean value and the maximum vibration amplitude corresponding to each time interval; The vibration error degree corresponding to each time interval is calculated based on the vibration amplitude evaluation value corresponding to each time interval and the vibration rate.
4. The method for monitoring the quality of concrete in water conservancy projects according to claim 1, It is characterized in that The test data also includes displacement data, which is obtained by collecting the movement process of the impact hammer of the concrete rebound tester in the rebound quality test by a displacement sensor, and the rebound error parameters corresponding to each monitoring point are calculated based on the vibration rate and vibration amplitude of the vibration data corresponding to each monitoring point, including: Convert the vibration data and the displacement data into a time-domain curve and a displacement time-domain curve according to a time sequence; Dividing the vibration time domain curve and the displacement time domain curve into intervals according to preset time intervals to obtain vibration sub-curves and displacement sub-curves corresponding to at least two time intervals; The vibration error degree corresponding to each of the time intervals is calculated based on the difference between the vibration sub-curves corresponding to each of the time intervals; The rebound rate corresponding to each time interval is calculated based on the displacement sub-curve corresponding to each time interval; Using the rebound rate corresponding to each of the time intervals as a weight to correct and update the vibration error degree; A rebound error parameter is obtained by performing mean calculation based on the vibration error degrees corresponding to all the time intervals.
5. The method for monitoring the quality of concrete in water conservancy projects according to claim 4, It is characterized in that The rebound rate corresponding to each time interval is calculated based on the displacement sub-curve corresponding to each time interval, including: Calculating a displacement difference based on the displacement sub-curve; The rebound rate is calculated based on the displacement difference and the preset time interval.
6. The method for monitoring the quality of concrete in water conservancy projects according to claim 1, It is characterized in that Based on the uniformity calculation of all the rebound strength indices, the concrete quality monitoring indicators are obtained, including: Performing mean calculation based on all the rebound strength indices to obtain a mean rebound strength index; The concrete quality monitoring index is calculated based on the difference between each of the rebound strength indexes and the rebound strength index mean.
7. The method for monitoring the quality of concrete in water conservancy projects according to claim 1, It is characterized in that The quality monitoring result of the precast concrete parts is obtained based on the concrete quality monitoring index, including: When the concrete quality monitoring index is less than or equal to a preset value, the quality monitoring result of the precast concrete part is unqualified; otherwise, the quality monitoring result of the precast concrete part is qualified.
8. The method for monitoring the quality of concrete in water conservancy projects according to claim 7, It is characterized in that The preset value is 0.
6.
9. The method for monitoring the quality of concrete in water conservancy projects according to claim 1, It is characterized in that The monitoring sites are obtained by dividing the precast concrete parts using a grid method.
10. A method for monitoring the quality of concrete in water conservancy projects. It is characterized in that The method comprises: A concrete rebound tester is used to perform rebound quality tests on multiple monitoring sites respectively, and test data corresponding to each monitoring site is obtained, and all the monitoring sites are located on the same prefabricated concrete part. The test data includes rebound measurement values, vibration data and deflection angles. The vibration data is obtained by collecting the movement process of the impact hammer of the concrete rebound tester in the rebound quality test by a vibration sensor, and the deflection angle is obtained by collecting the angle between the impact hammer of the concrete rebound tester and the plane of the prefabricated concrete part when the impact hammer of the concrete rebound tester hits the monitoring site by an electronic angle meter; The rebound error parameter corresponding to each monitoring point is calculated based on the vibration rate and vibration amplitude of the vibration data corresponding to each monitoring point; Correct and update the rebound error parameter based on the deflection angle corresponding to each monitoring site; The rebound strength index is calculated based on the rebound error parameter and the rebound measurement value corresponding to each monitoring point; Perform uniformity calculation based on all the rebound strength indexes to obtain a concrete quality monitoring index; The quality monitoring result of the precast concrete parts is determined based on the concrete quality monitoring index.