Concrete vibration compactness measuring method based on dynamic pressure correction

Abstract

The invention provides a concrete vibration compactness measuring method based on dynamic pressure correction, and belongs to the technical field of concrete vibration. The concrete vibration compactness measuring method comprises the steps of mounting a pressure sensor, collecting basic data, establishing a relation between static pressure ps and compactness eta, establishing a relation between dynamic pressure and static pressure, correcting a dynamic pressure value, establishing a relation between the corrected dynamic pressure value and compactness, and monitoring and controlling in real time. A high-sensitivity pressure sensor is installed on a vibrating device, a dynamic pressure signal in the vibrating process is detected and corrected in real time, and an accurate relation model of the corrected dynamic pressure value and the concrete compactness is established in combination with an SB optimization algorithm and a least square method; according to the method, noise is effectively filtered out, the measurement precision is improved, accurate evaluation of the concrete compactness and automatic vibration control are achieved through real-time monitoring and control, and the construction efficiency and quality are improved.

Description

Technical Field

[0001] The invention relates to the technical field of concrete vibration, and in particular to a method for measuring the compaction degree of concrete vibration based on dynamic pressure correction. Background Art

[0002] In the concrete construction process, the vibration link plays a vital role, which is directly related to the density of concrete and the ultimate strength of the structure. With the advancement of technology, modern construction increasingly uses pressure sensors to monitor the dynamic pressure value during the vibration process in real time, in order to evaluate the density of concrete through this data. However, although this method has the advantages of high efficiency and convenience in theory, it faces many challenges in practical applications.

[0003] As a precision measuring instrument, the performance of the pressure sensor is easily affected by many factors, including linear error, temperature error, zero error, and hysteresis error. These errors make it difficult for the dynamic pressure value directly read to accurately reflect the actual density of concrete, thus bringing uncertainty to the evaluation of construction quality. Therefore, a method is urgently needed to correct the dynamic pressure measurement results to more accurately reflect the actual density of concrete. Summary of the invention

[0004] The purpose of the present invention is to provide a method for measuring the compaction density of concrete by vibration based on dynamic pressure correction, so as to solve the problem of inaccurate compaction state caused by directly using dynamic pressure value to evaluate the density of concrete in the above-mentioned prior art.

[0005] To achieve the above object, the present invention provides the following technical solutions:

[0006] The method for measuring the density of concrete vibration based on dynamic pressure correction includes the following steps:

[0007] S1. Installing a pressure sensor: installing a pressure sensor within the influence range of a vibrating rod of a vibrating device, wherein the vibrating device is provided with a control unit, wherein the control unit comprises a data acquisition module, a data processing unit and a display feedback device, and the pressure sensor is electrically connected to the data acquisition module, the data processing unit and the display feedback device in sequence to form a data processing system;

[0008] S2. Collect basic data: Conduct multiple sets of vibration tests under standard conditions and record the dynamic pressure value p of the concrete measured by the pressure sensor during the vibration process. d And the corresponding concrete density η1, static pressure value p under the same conditions s and the corresponding concrete density η2, and uploading these data to the data processing unit through the data acquisition module;

[0009] S3, establish the relationship between static pressure and density: the data processing unit uses the SB optimization algorithm to calculate the static pressure value p s As input, the concrete density η2 is output, and the model is trained to establish the static pressure value p by combining multiple Sigmoid basis functions. s Mathematical relationship with concrete density η2 η2=f(p s ),

[0010] Among them, f is the SB model mapping function, p s is the input static pressure value, η2 is the output concrete density;

[0011] S4. Establishing the relationship between dynamic pressure and static pressure: The data obtained from the vibration experiment in step S2 is used to establish the dynamic pressure value p using the least squares method. d With static pressure value p s The functional relationship between them is p s = k·p d +c, considering the noise generated by concrete stirring, the Gaussian noise model ε is introduced, and the Gaussian noise probability density function is: where σ is the standard deviation of the noise; therefore p d With p s The final relationship is: s = k·p d +c+ε, where k and c are linear relationship parameters;

[0012] S5. Correction of dynamic pressure value: The dynamic pressure value p measured at each moment d The dynamic pressure signal is obtained by transforming in the frequency domain, and the dynamic pressure signal is subjected to Fourier discrete transform to obtain f(p′ d ), convert it from the time domain to the frequency domain to analyze the frequency components in the signal. In the frequency domain, a low-pass filter is used to filter out high-frequency noise, retain low-frequency signals, and increase the dynamic pressure value p d The signal-to-noise ratio is then increased; the filtered frequency domain signal is then inversely transformed by Fourier to obtain the corrected time domain dynamic pressure signal f(p d ″);

[0013] S6. Establishing a relationship between the corrected dynamic pressure value and the density: The data processing unit analyzes and predicts the dynamic pressure value according to the preset SB optimization algorithm, and establishes the corrected dynamic pressure value p under different working conditions. d Mathematical relationship between η2 and concrete density η2=f(p d ″);

[0014] S7. Real-time monitoring and control: Real-time monitoring of the corrected dynamic pressure value p during the vibration process d″, based on the corrected dynamic pressure value p d ″, set the target density as the control parameter, and evaluate the concrete density in real time according to its mathematical relationship with the density; when the monitored corrected dynamic pressure value p d When the corresponding density reaches the preset target value, the vibrating rod is automatically controlled to stop working or enter the next vibration stage.

[0015] As a preferred embodiment of the present invention, the pressure sensor is a piezoelectric pressure sensor, which utilizes the piezoelectric effect of piezoelectric materials to convert pressure into an electrical signal output; during the concrete vibration process, the piezoelectric sensor can accurately capture the changes in the pressure waveform, provide reliable data for analyzing the mechanical properties and vibration effects of concrete, and has the advantages of high-frequency response, high sensitivity, high resolution and wide dynamic range.

[0016] As a preferred embodiment of the present invention, the display feedback device is a display, which is a device for monitoring and displaying system status or process variables, and displays real-time density information and correction suggestions in an intuitive and easy-to-understand manner, helping construction personnel to adjust vibration parameters in time to ensure construction quality.

[0017] The beneficial effects of the present invention are as follows: by installing a piezoelectric pressure sensor in the vibration device to accurately capture the pressure changes during the vibration process, the data processing system composed of the data acquisition module, the data processing unit and the display in the control unit is used to realize real-time data acquisition, processing and intuitive display. The mathematical model of static pressure and concrete density is established by the SB optimization algorithm, and the functional relationship between dynamic pressure and static pressure is accurately established by combining the least squares method and the Gaussian noise model. The signal-to-noise ratio of the dynamic pressure value is further improved by Fourier transform and low-pass filtering technology, thereby obtaining a more accurate corrected dynamic pressure signal. This method not only improves the measurement accuracy of density during concrete vibration, but also ensures that the concrete reaches the preset density target through real-time monitoring and intelligent control, significantly improving construction efficiency and project quality. At the same time, the display feedback device of the invention provides intuitive and reliable real-time density information and vibration parameter adjustment suggestions for construction personnel, so that construction personnel can respond to and optimize the construction process in a timely manner, further ensuring the high quality standards of construction. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 is a processing flow chart of the density measurement method of the present invention;

[0019] Figure 2 It is a scatter diagram of the relationship between the dynamic pressure value and the static pressure value of the present invention. DETAILED DESCRIPTION

[0020] The specific embodiments of the present invention are described in detail below in conjunction with the accompanying drawings. It should be understood that the specific embodiments given here are only used to illustrate and explain the present invention, and cannot be used to limit the present invention.

[0021] It should be noted that many specific details are set forth in the following description to facilitate a full understanding of the present invention. However, the present invention may also have other implementation modes. Therefore, the protection scope of the present invention is not limited to the specific embodiments disclosed below.

[0022] like Figure 1 As shown in FIG. 1 , the concrete vibration density measurement method based on dynamic pressure correction includes the following steps:

[0023] S1. Installing a pressure sensor: installing a high-sensitivity pressure sensor within the influence range of the vibrating rod of the vibrating device, for real-time detection of the pressure value of concrete during vibration; the vibrating device is provided with a control unit, the control unit includes a data acquisition module, a data processing unit and a display feedback device, the pressure sensor is electrically connected with the data acquisition module, the data processing unit and the display feedback device in sequence to form a data processing system;

[0024] S2. Collect basic data: Conduct multiple sets of vibration tests under standard conditions and record the dynamic pressure value p of the concrete measured by the pressure sensor during the vibration process. d And the corresponding concrete density η1, static pressure value p under the same conditions s And the corresponding concrete density η2, and upload these data to the data processing unit through the data acquisition module; the specific experimental data are as follows:

[0025] Table 1 Dynamic pressure values ​​and static pressure values ​​obtained in vibration test under the same conditions and the corresponding density

[0026] Time t(s) <![CDATA[Dynamic pressure p d (Mpa)]]> <![CDATA[Density η1(%)]]> <![CDATA[Static pressure p s (Mpa)]]> <![CDATA[Density η2(%)]]> 2 3.00 92.17 2.38 91.08 4 3.12 92.21 2.52 91.22 6 3.46 92.69 2.88 91.48 8 3.90 92.72 3.01 91.61 10 4.02 93.03 3.38 91.82 12 4.63 94.28 3.69 93.07 14 4.41 93.80 3.82 92.59 16 4.59 94.73 4.00 93.71 18 4.65 95.41 4.03 94.20 20 4.61 95.34 3.62 94.13 22 4.60 95.32 3.94 94.11 24 4.92 94.10 4.36 92.89 26 5.32 93.69 4.67 92.52 28 5.99 93.42 5.02 92.32 30 5.79 93.28 5.11 92.07

[0027] S3, establish the relationship between static pressure and density: the data processing unit uses the SB optimization algorithm to calculate the static pressure value p s As input, the concrete density η2 is output, and the model is trained to establish the static pressure value p by combining multiple Sigmoid basis functions. s Mathematical relationship with concrete density η2 η2=f(p s ),

[0028] Among them, f is the SB model mapping function, p s is the input static pressure value, η2 is the output concrete density;

[0029] S4. Establishing the relationship between dynamic pressure and static pressure: The data obtained from the vibration experiment in step S2 is used to establish the dynamic pressure value p using the least squares method. d With static pressure value p s The functional relationship between them is p s = k·p d +c, considering the noise generated by concrete stirring, the Gaussian noise model ε is introduced, and the Gaussian noise probability density function is: where σ is the standard deviation of the noise; therefore p d With p s The final relationship is: s = k·p d +c+ε, where k and c are linear relationship parameters;

[0030] S5. Correction of dynamic pressure value: The dynamic pressure value p measured at each moment d The dynamic pressure signal is obtained by transforming in the frequency domain, and the dynamic pressure signal is subjected to Fourier discrete transform to obtain f(p d ′), convert it from the time domain to the frequency domain to analyze the frequency components in the signal. In the frequency domain, a low-pass filter is used to filter out high-frequency noise, retain low-frequency signals, and increase the dynamic pressure value p d The signal-to-noise ratio is then increased; the filtered frequency domain signal is then inversely transformed by Fourier to obtain the corrected time domain dynamic pressure signal f(p d ″);

[0031] S6. Establishing a relationship between the corrected dynamic pressure value and the density: The data processing unit analyzes and predicts the dynamic pressure value according to the preset SB optimization algorithm, and establishes the corrected dynamic pressure value p under different working conditions. d Mathematical relationship between η2 and concrete density η2=f(p d ″), to achieve accurate assessment of concrete density;

[0032] S7. Real-time monitoring and control: Real-time monitoring of the corrected dynamic pressure value p during the vibration process d ″, based on the corrected dynamic pressure value p d ″, set the target density as the control parameter, and evaluate the concrete density in real time according to its mathematical relationship with the density; when the monitored corrected dynamic pressure value p d When the corresponding density reaches the preset target value, the vibrating rod is automatically controlled to stop working or enter the next vibration stage.

[0033] In the preferred implementation manner of this embodiment, the pressure sensor adopts a piezoelectric pressure sensor. During the concrete vibration process, the piezoelectric sensor uses the piezoelectric effect of the piezoelectric material to convert the pressure into an electrical signal output, which can accurately capture the changes in the pressure waveform and provide reliable data for analyzing the mechanical properties of concrete and the vibration effect.

[0034] In a preferred implementation manner of this embodiment, the display feedback device is a display, which displays real-time density information and correction suggestions in an intuitive and easy-to-understand manner, helping construction personnel to adjust vibration parameters in a timely manner to ensure construction quality.

[0035] The embodiments of the present invention are described in detail above with reference to the accompanying drawings, but the present invention is not limited to the described embodiments. For those skilled in the art, various changes, modifications, substitutions and variations of these embodiments are made without departing from the principles and spirit of the present invention, and still fall within the scope of protection of the present invention.

Claims

1. A method for measuring the compaction density of concrete based on dynamic pressure correction, characterized in that: The steps include: S1. Installing a pressure sensor: installing a pressure sensor within the influence range of a vibrating rod of a vibrating device, wherein the vibrating device is provided with a control unit, wherein the control unit comprises a data acquisition module, a data processing unit and a display feedback device, and the pressure sensor is electrically connected to the data acquisition module, the data processing unit and the display feedback device in sequence to form a data processing system; S2. Collect basic data: Conduct multiple sets of vibration tests under standard conditions and record the dynamic pressure value p of the concrete measured by the pressure sensor during the vibration process. d And the corresponding concrete density η1, static pressure value p under the same conditions s and the corresponding concrete density η2, and uploading these data to the data processing unit through the data acquisition module; S3, establish the relationship between static pressure and density: the data processing unit uses the SB optimization algorithm to calculate the static pressure value p s As input, the concrete density η2 is output, and the model is trained to establish the static pressure value p by combining multiple Sigmoid basis functions. s Mathematical relationship with concrete density η2 η2=f(p s ), Among them, f is the SB model mapping function, p s is the input static pressure value, η2 is the output concrete density; S4. Establishing the relationship between dynamic pressure and static pressure: The data obtained from the vibration experiment in step S2 is used to establish the dynamic pressure value p using the least squares method. d With static pressure value p s The functional relationship between them is p s = k·p d +c, considering the noise generated by concrete stirring, the Gaussian noise model ε is introduced, and the Gaussian noise probability density function is: where σ is the standard deviation of the noise; therefore p d With p s The final relationship is: s = k·p d +c+ε, where k and c are linear relationship parameters; S5. Correction of dynamic pressure value: The dynamic pressure value p measured at each moment d The dynamic pressure signal is obtained by transforming in the frequency domain, and the dynamic pressure signal is subjected to Fourier discrete transform to obtain f(p d ′), convert it from the time domain to the frequency domain to analyze the frequency components in the signal. In the frequency domain, a low-pass filter is used to filter out high-frequency noise, retain low-frequency signals, and increase the dynamic pressure value p d The signal-to-noise ratio is then increased; the filtered frequency domain signal is then inversely transformed by Fourier to obtain the corrected time domain dynamic pressure signal f(p d ″); S6. Establishing a relationship between the corrected dynamic pressure value and the density: The data processing unit analyzes and predicts the dynamic pressure value according to the preset SB optimization algorithm, and establishes the corrected dynamic pressure value p under different working conditions. d "and mixed" Mathematical relationship of concrete density η2 η2=f(p d ); ″ S7. Real-time monitoring and control: Real-time monitoring of the corrected dynamic pressure value p during the vibration process d , based on the correction The dynamic pressure value p d , set the target density as the control parameter, and implement it according to the mathematical relationship between it and the density. When the modified dynamic pressure value p is monitored, the concrete density is evaluated; d When the corresponding density reaches the preset target value, the vibrating rod is automatically controlled to stop working or enter the next vibration stage.

2. The method for measuring the density of concrete vibrated based on dynamic pressure correction according to claim 1 is characterized in that: The pressure sensor is a piezoelectric pressure sensor.

3. The method for measuring the density of concrete vibrated based on dynamic pressure correction according to claim 1 is characterized in that: The display feedback device is a display, which is a device used to monitor and display system status or process variables.

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