A device for determining the compressive plastic stage of recycled concrete based on acoustic emission and stress-strain analysis

Abstract

This invention discloses a device for determining the compressive plasticity stage of recycled concrete based on acoustic emission and stress-strain analysis. The device includes: applying axial compressive loads to recycled concrete specimens under different working conditions, simultaneously measuring their acoustic emission signals and compressive stress-strain curves, and outputting an Excel spreadsheet containing the time, cumulative acoustic emission energy value, acoustic emission b-value, stress, and strain. A GUI interface is constructed using MATLAB, creating execution buttons, input boxes, result display areas, and graphical display areas. Callback functions for file selection and monitoring are defined based on the GUI interface. Acoustic emission, b-value, stress, and strain data are extracted from the specified Excel worksheet and interpolated. Functions are called to detect yield strength and the time and strain of complete failure, and the results are output. This invention can quickly detect the plasticity stage of materials by processing acoustic emission and stress-strain data, making data processing and result display more intuitive.

Description

Technical Field

[0001] This invention belongs to the field of acoustic emission detection technology, and particularly relates to a device for identifying the compressive plastic stage of recycled concrete based on acoustic emission and stress-strain analysis. Background Technology

[0002] With the continuous development of building materials, recycled concrete, as a new type of environmentally friendly material, is receiving increasing attention. Traditional testing methods mainly rely on physical experiments to evaluate the mechanical properties of recycled concrete; however, these methods are usually time-consuming and difficult to provide real-time feedback on changes in material properties. Especially during the plastic stage of the material, traditional methods struggle to capture key acoustic emission signals and stress-strain changes, thus affecting the judgment of material properties.

[0003] Currently, although some studies have attempted to use acoustic emission monitoring technology to evaluate material properties, existing technologies often lack efficient data processing and visualization methods, resulting in less intuitive results and an inability to effectively monitor and analyze data in real time. Therefore, it is necessary to develop a novel graphical user interface application that can quickly process acoustic emission data and stress-strain data, and intuitively display the compressive plasticity stage of recycled concrete materials. Summary of the Invention

[0004] This invention proposes a device for identifying the compressive plastic stage of recycled concrete based on acoustic emission and stress-strain analysis, in order to solve the problems existing in the prior art.

[0005] To achieve the above objectives, the present invention provides a device for determining the compressive plastic stage of recycled concrete based on acoustic emission and stress-strain analysis, comprising:

[0006] The data acquisition module is used to apply axial compressive loads to recycled concrete specimens under different working conditions and confining pressures, and simultaneously acquire acoustic emission signals and stress-strain curve data.

[0007] The data preprocessing module is used to preprocess the acquired acoustic emission signals, obtain time, cumulative acoustic emission energy data, amplitude and rise time data, and remove invalid data;

[0008] The data storage module is used to store acoustic emission b-values, processed acoustic emission signals, stress and strain data;

[0009] The graphical user interface module is used for data input, processing initiation, result display, and graphical presentation.

[0010] The data processing module is used to extract stored data and unify different data sources onto the stress-strain time axis through interpolation to obtain unified data.

[0011] The analysis module is used to detect uniform data, obtain the yield strength, time to complete failure and strain of recycled concrete, and determine the start and end points of the plastic stage;

[0012] The results output module is used to output the analysis results to the results display area of ​​the graphical user interface module for display.

[0013] Preferably, the data acquisition module includes:

[0014] Axial compression loading equipment is used to apply axial pressure to recycled concrete specimens under different confining pressures and simultaneously collect stress and strain data;

[0015] The acoustic emission monitoring unit is used to record the occurrence time, acoustic emission energy, rise time, and amplitude information of each acoustic emission signal during different confining pressure loading processes of recycled concrete.

[0016] Preferably, the data preprocessing module includes:

[0017] The data filtering unit is used to remove data on acoustic emission energy and time points with a rise time of 0.

[0018] The data calculation unit is used to calculate the acoustic emission b-value.

[0019] Preferably, the data calculation unit calculates the acoustic emission b-value by:

[0020] Divide the acoustic emission signal into time periods according to a set time step;

[0021] Calculate the magnitude information for each time period;

[0022] The logarithmic function curves of magnitude and frequency were linearly fitted using the Gutenberg-Richter relation, and the b-value was calculated.

[0023] Preferably, the graphical user interface module is built using MATLAB and includes:

[0024] The execute button is used to start data processing;

[0025] The input box is used to enter the Excel file path and worksheet name;

[0026] The results display area is used to show the analysis results;

[0027] The graphical display area is used to visualize stress-strain curves and the relationship between acoustic emission signals and time.

[0028] Preferably, the data processing module includes:

[0029] The file reading unit is used to extract acoustic emission cumulative energy, b-value, stress, and strain data from a specified Excel file using MATLAB's readtable function;

[0030] The interpolation processing unit is used to unify different data sources onto the stress-strain time axis through linear interpolation.

[0031] Preferably, the analysis module includes:

[0032] The yield strength testing unit is used to calculate the yield strength, time to complete failure, and strain of a material.

[0033] The plastic stage determination unit is used to determine the start and end of the plastic stage by the surge in cumulative acoustic emission energy and the significant decrease in the b-value.

[0034] Preferably, the determination method of the plastic stage determination unit includes:

[0035] When the increase in the cumulative acoustic emission energy exceeds 50% of the historical maximum increase, it is determined to be a significant surge in the cumulative acoustic emission energy.

[0036] A decrease in the b-value exceeding 0.2 is considered a significant decrease.

[0037] The event of a surge in cumulative acoustic emission energy or a decrease in the b-value is considered the starting point of the plastic phase.

[0038] The event of a surge in cumulative acoustic emission energy or a decrease in the b-value during the final acoustic emission is considered the end of the plastic phase.

[0039] Compared with the prior art, the present invention has the following advantages and technical effects:

[0040] This invention utilizes the relationship between acoustic emission signals and stress-strain curves to define the key points of the transition from elastic to plasticity in recycled concrete during different confining pressures, based on the surge in cumulative acoustic emission energy and the significant decrease in the b-value. A GUI application device is used to visualize and provide feedback on the non-destructive testing results more intuitively. This device simplifies and intuitively expresses the relationship between acoustic emission signal results and stress-strain curves, and directly calculates the test results using different functions in MATLAB, providing a more convenient and concise computational interface and method, and enabling a direct visualization of the material's plasticity stage. Attached Figure Description

[0041] The accompanying drawings, which form part of this application, are used to provide a further understanding of this application. The illustrative embodiments and descriptions of this application are used to explain this application and do not constitute an undue limitation of this application. In the drawings:

[0042] Figure 1This is a flowchart illustrating the operation of the device according to an embodiment of the present invention;

[0043] Figure 2 This is a graph showing the cumulative acoustic emission energy of a recycled concrete specimen according to an embodiment of the present invention.

[0044] Figure 3 The graph shows the calculated b-value of the recycled concrete specimen in an embodiment of the present invention.

[0045] Figure 4 This is a full curve of compressive stress-strain of recycled concrete according to an embodiment of the present invention;

[0046] Figure 5 This is a schematic diagram of the overall layout of the graphical user interface according to an embodiment of the present invention;

[0047] Figure 6 This is a schematic diagram of the GUI interface for determining the compressive plasticity stage of recycled concrete according to an embodiment of the present invention.

[0048] Figure 7 This is a diagram illustrating the implementation steps of the apparatus according to an embodiment of the present invention. Detailed Implementation

[0049] It should be noted that, unless otherwise specified, the embodiments and features described in this application can be combined with each other. This application will now be described in detail with reference to the accompanying drawings and embodiments.

[0050] It should be noted that the steps shown in the flowchart in the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions, and although a logical order is shown in the flowchart, in some cases the steps shown or described may be executed in a different order than that shown here.

[0051] Example 1

[0052] like Figure 1 As shown, this embodiment provides a device for determining the compressive plastic stage of recycled concrete based on acoustic emission and stress-strain analysis, including:

[0053] The data acquisition module is used to apply axial compressive loads to recycled concrete specimens under different working conditions and simultaneously acquire acoustic emission signals and stress-strain curve data.

[0054] The data preprocessing module is used to preprocess the acquired acoustic emission signals, obtain data on time, acoustic emission energy, amplitude and rise time, and remove invalid data.

[0055] The data storage module is used to store acoustic emission b-values, processed acoustic emission signals, stress and strain data;

[0056] The graphical user interface module is used for data input, processing initiation, result display, and graphical presentation.

[0057] The data processing module is used to extract stored data and unify different data sources onto the stress-strain time axis through interpolation to obtain unified data.

[0058] The analysis module is used to detect uniform data, obtain the yield strength, time to complete failure and strain of recycled concrete, and determine the start and end points of the plastic stage;

[0059] The results output module is used to output the analysis results to the results display area of ​​the graphical user interface module for display.

[0060] Furthermore, the data acquisition module includes:

[0061] Axial compression loading equipment is used to apply axial pressure to recycled concrete specimens and simultaneously collect stress and strain data;

[0062] The acoustic emission monitoring unit is used to record the occurrence time, acoustic emission energy, rise time, and amplitude information of each acoustic emission signal during different confining pressure loading processes of recycled concrete.

[0063] Furthermore, the data preprocessing module includes:

[0064] The data filtering unit is used to remove data on acoustic emission energy and time points with a rise time of 0.

[0065] The data calculation unit is used to calculate the acoustic emission b-value.

[0066] Furthermore, the data calculation unit calculates the acoustic emission b-value including:

[0067] Divide the acoustic emission signal into time periods according to a set time step;

[0068] Calculate the magnitude information for each time period;

[0069] The logarithmic function curves of magnitude and frequency were linearly fitted using the Gutenberg-Richter relation, and the b-value was calculated.

[0070] Furthermore, the graphical user interface module is built using MATLAB and includes:

[0071] The execute button is used to start data processing;

[0072] The input box is used to enter the Excel file path and worksheet name;

[0073] The results display area is used to show the analysis results;

[0074] The graphical display area is used to visualize stress-strain curves and the relationship between acoustic emission signals and time.

[0075] Furthermore, the data processing module includes:

[0076] The file reading unit is used to extract acoustic emission cumulative energy, b-value, stress, and strain data from a specified Excel file using MATLAB's readtable function;

[0077] The interpolation processing unit is used to unify different data sources onto the stress-strain time axis through linear interpolation.

[0078] Furthermore, the analysis module includes:

[0079] The yield strength testing unit is used to calculate the yield strength, time to complete failure, and strain of a material.

[0080] The plastic stage determination unit is used to determine the start and end of the plastic stage by the surge in cumulative acoustic emission energy and the significant decrease in the b-value.

[0081] Furthermore, the method for determining the plastic stage determination unit includes:

[0082] When the increase in the cumulative acoustic emission energy exceeds 50% of the historical maximum increase, it is determined to be a significant surge in the cumulative acoustic emission energy.

[0083] A decrease in the b-value exceeding 0.2 is considered a significant decrease.

[0084] The event of a surge in cumulative acoustic emission energy or a decrease in the b-value is considered the starting point of the plastic phase.

[0085] The event of a surge in cumulative acoustic emission energy or a decrease in the b-value during the final acoustic emission is considered the end of the plastic phase.

[0086] like Figure 7 As shown, the operation of the device in this embodiment includes the following steps:

[0087] Axial compressive loads were applied to recycled concrete specimens under different working conditions, and their acoustic emission signals and compressive stress-strain curves were measured simultaneously.

[0088] Output an Excel spreadsheet containing the measured time, cumulative acoustic emission energy, acoustic emission b-value, stress, and strain.

[0089] The steps for calculating the acoustic emission b-value are as follows:

[0090] An acoustic emission monitoring system was used to record the occurrence time t and amplitude A of each acoustic emission signal during the monotonic loading process of recycled concrete. dB .

[0091] Set the time step T and divide the entire loading process into multiple consecutive time periods. Treat the acoustic emission events of each time period of length T as a set of data, and calculate and statistically analyze their magnitude information M according to the following formula.

[0092] M = A dB / 20;

[0093] For each time period, a magnitude gradient ΔM is set, and the magnitude is divided into (Mmax-Mmin) / ΔM magnitude intervals. The number of acoustic emission frequencies N in each magnitude interval is calculated. In Example 1, A dB The maximum value is 100, so M equals 5, and the sampling frequency is 100. The logarithmic function curves of magnitude and frequency are linearly fitted using the Gutenberg-Richter relation, and the b value is calculated.

[0094] lgN = mn * M;

[0095] In the formula, m and n are constants obtained from linear fitting.

[0096] The least squares method is used to calculate the value of b for each time period step by step, and the evolution relationship between b and loading time is obtained.

[0097] A graphical user interface (GUI) is built using MATLAB, including: an execute button to start data processing; an input box for entering the worksheet name; a results display area for displaying the test results; and a graphical display area for visualizing stress-strain curves and acoustic emission signals.

[0098] Based on the graphical user interface, callback functions for file selection are defined respectively. The file selection callback functions selectFilePathAE(cumulative acoustic emission energy data), selectFilePathb(acoustic emission b value), and selectFilePathStress(stress and strain data) will use the uigetfile function to open the file selection dialog box and display the path of the selected file on the corresponding button.

[0099] Define the callback function for the runDetection file. Select the callback function `runDetection` to read the Excel data file path and worksheet name of the acoustic emission cumulative energy data, b-value data, and stress-strain data input by the user, and display the path on the GUI interface. Ensure that all inputs are valid; otherwise, an error dialog box will pop up.

[0100] The `detect_yield_strength` function is used to calculate the material's yield strength, time to complete failure, and strain, and outputs the results to the result display area. The calculation process includes: calculating the surge in cumulative acoustic emission energy; calculating the decrease in the b-value; finding the index of the first surge in cumulative acoustic emission energy or decrease in the b-value and selecting the earliest occurrence, defining it as the start of the plastic stage; outputting the detection result for the start of the plastic stage; then finding the index of the last surge in cumulative acoustic emission energy or decrease in the b-value and selecting the latest occurrence, defining it as the end of the plastic stage; and outputting the detection result for the end of the plastic stage.

[0101] Specifically, it involves the following steps:

[0102] Step 1: Specimen Preparation and Data Acquisition. Select recycled concrete specimens under different working conditions and apply axial compressive loads to the specimens using an MTS device. During loading, acoustic emission signals are acquired in real time using an acoustic emission sensor, while stress and strain values ​​are recorded simultaneously. This data will be stored in Excel format for subsequent processing and analysis. The acoustic emission signal acquisition data is preprocessed to remove signals with an energy value of 0. This yields... Figure 2 and Figure 3 The curve results were obtained. An acoustic emission monitoring system was used to record the occurrence time t and amplitude information A of each acoustic emission signal during the monotonic loading process of recycled concrete. dB .

[0103] Set the time step T and divide the entire loading process into multiple consecutive time periods. Take the acoustic emission events of each time period of length T as a set of data, and calculate and statistically analyze their magnitude information M according to formula (1).

[0104] M = A dB / 20;

[0105] For each time period, a magnitude gradient ΔM is set, dividing the magnitude into (Mmax-Mmin) / ΔM magnitude intervals. The number of acoustic emission frequencies N in each magnitude interval is calculated. In this embodiment, A dB The maximum value is 100, so M equals 5, and the sampling frequency is 100. The logarithmic function curves of magnitude and frequency are linearly fitted using the Gutenberg-Richter relation, and the b value is calculated.

[0106] lgN = mn * M;

[0107] In the formula, m and n are constants obtained from linear fitting.

[0108] The least squares method is used to calculate the value of b for each time period step by step, and the evolution relationship between b and loading time is obtained.

[0109] Step 2: Graphical User Interface Development. Use MATLAB to build the graphical user interface (GUI). The interface design includes execution buttons, input boxes, result display areas, and graphics display areas, such as... Figure 4 As shown, the user selects a data file through the input box and clicks the execute button to start data processing.

[0110] Step 3: Data Processing and Analysis. After the user selects a data file, the program calls the `readtable` function via a callback function to extract acoustic emission signal, b-value, stress, and strain data from the specified Excel file and worksheet. Interpolation is used to unify the data from different time points onto the stress-strain time axis, ensuring data comparability. `readtable` is used to read Excel data, and linear interpolation is used to unify the time axis:

[0111] ae_energy_interp=interp1(ae_time_unique,ae_energy_unique,stress_strain_time,'linear','extrap');

[0112] b_value_interp=interp1(b_time_unique,b_value_unique,stress_strain_time,'linear','extrap');

[0113] Step 4: Define callback functions for file selection based on the graphical user interface. The callback functions selectFilePathAE (cumulative acoustic emission energy), selectFilePathb (acoustic emission b value), and selectFilePathStress (stress and strain data) will use the uigetfile function to open the file selection dialog box and display the path of the selected file on the corresponding button.

[0114] Formula for calculating the surge value of cumulative acoustic emission energy;

[0115] `energy_diff` = `diff(ae_energy(i+1) - ae_energy(i))`; `ae_energy(i+1)` is the cumulative acoustic emission energy at time `i+1`; `ae_energy(i)` is the cumulative acoustic emission energy at time `i`; and `energy_diff` is the increase in cumulative acoustic emission energy from time `i` to time `i+1` (first-order difference). The code is calculated based on the difference between different times. A significant surge in cumulative acoustic emission energy is defined as the point where the increase in cumulative acoustic emission energy exceeds 1.0 times `energy_diff`. The threshold multiple for this surge is defined as `energy_threshold` = 0.5, meaning that a surge is considered to occur when the energy increment at a certain time exceeds 50% of the historical maximum increment. The specific formula is as follows:

[0116] energy_diff[i]>max(energy_diff)*energy_threshold

[0117] max(energy_diff) represents the historical maximum increment of the cumulative acoustic emission energy.

[0118] Step 5: Define the callback function for the run detection file. Select the callback function `runDetection` to read the Excel data file path and worksheet name of the acoustic emission cumulative energy data, b-value data, and stress-strain data input by the user, and display the path on the GUI interface. Ensure that all inputs are valid; otherwise, an error dialog box will pop up.

[0119] Step 6: Yield Strength and Failure Detection. A specific detection function is called to calculate the material's yield strength, time to complete failure, and strain, and these results are output to the results display area. Simultaneously, the program can generate stress-strain curves and graphs of acoustic emission signals, allowing users to intuitively understand the material's mechanical properties. The `detect_yield_strength` function is used to calculate the material's yield strength, time to complete failure, and strain, and outputs the results to the results display area. The calculation process includes: calculating the surge value of cumulative acoustic emission energy; calculating the decrease in the b-value; finding the index of the first surge in cumulative acoustic emission energy or decrease in the b-value and selecting the earliest event, defining it as the start of the plastic stage; outputting the detection result of the plastic stage start; then finding the index of the last surge in cumulative acoustic emission energy or decrease in the b-value and selecting the earliest event, defining it as the end of the plastic stage; outputting the detection result of the plastic stage end.

[0120] Calculate the decrease in the value of b; b_diff = diff(b_value(i+1) - b_value(i))

[0121] b_value(i+1) is the b value at time i+1; b_value(i) is the b value at time i; and b_diff is the change in b value from time i to time i+1 (first-order difference). A significant decrease in b value is considered to have occurred when b_value decreases by more than 0.2 at a certain point. This is because a decrease in b value is usually associated with a larger fracturing event, possibly corresponding to the yield point. The determination logic is to find the index of the first surge in cumulative acoustic emission energy or a significant decrease in b value and select the earliest occurrence, defining it as the starting point of the plastic phase.

[0122] Step 7: Results Output and Display. The processed results are exported as an Excel spreadsheet, allowing users to view and analyze the data at any time. Furthermore, the graphing area updates in real time, displaying stress-strain curves and acoustic emission signal graphs, enhancing the user experience.

[0123] The above are merely preferred embodiments of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

Claims

1. A device for determining the plastic stage of recycled concrete under compression based on acoustic emission and stress-strain analysis, characterized by, The application relates to a data processing method and device for acoustic emission monitoring of recycled concrete. The application relates to a data processing method and device for acoustic emission monitoring of recycled concrete. The application relates to a data processing method and device for acoustic emission monitoring of recycled concrete. The application relates to a data processing method and device for acoustic emission monitoring of recycled concrete. The application relates to a data processing method and device for acoustic emission monitoring of recycled concrete. The application relates to a data processing method and device for acoustic emission monitoring of recycled concrete. The application relates to a data processing method and device for acoustic emission monitoring of recycled concrete. The application relates to a data processing method and device for acoustic emission monitoring of recycled concrete. The application relates to a data processing method and device for acoustic emission monitoring of recycled concrete. The application relates to a data processing method and device for acoustic emission monitoring of recycled concrete. The application relates to a data processing method and device for acoustic emission monitoring of recycled concrete. The application relates to a data processing method and device for acoustic emission monitoring of recycled concrete. The application relates to a data processing method and device for acoustic emission monitoring of recycled concrete. The application relates to a data processing method and device for acoustic emission monitoring of recycled concrete. The application relates to a data processing method and device for acoustic emission monitoring of recycled concrete. The application relates to a data processing method and device for acoustic emission monitoring of recycled concrete. The application relates to a data processing method and device for acoustic emission monitoring of recycled concrete. The application relates to a data processing method and device for acoustic emission monitoring of recycled concrete. The application relates to a data processing method and device for acoustic emission monitoring of recycled concrete. The application relates to a data processing method and device for acoustic emission monitoring of recycled concrete. The application relates to a data processing method and device for acoustic emission monitoring of recycled concrete. The application relates to a data processing method and device for acoustic emission monitoring of recycled concrete. The application relates to a data processing method and device for acoustic emission monitoring of recycled concrete.

2. The apparatus of claim 1, wherein, The application relates to a data processing method and device for acoustic emission monitoring of recycled concrete. The application relates to a data processing method and device for acoustic emission monitoring of recycled concrete. The application relates to a data processing method and device for acoustic emission monitoring of recycled concrete.

3. The apparatus of claim 1, wherein, The application relates to a data processing method and device for acoustic emission monitoring of recycled concrete. The application relates to a data processing method and device for acoustic emission monitoring of recycled concrete. The application relates to a data processing method and device for acoustic emission monitoring of recycled concrete. The application relates to a data processing method and device for acoustic emission monitoring of recycled concrete. The application relates to a data processing method and device for acoustic emission monitoring of recycled concrete.

4. The apparatus of claim 1, wherein, The application relates to a data processing method and device for acoustic emission monitoring of recycled concrete. The application relates to a data processing method and device for acoustic emission monitoring of recycled concrete. The application relates to a data processing method and device for acoustic emission monitoring of recycled concrete. The application relates to a data processing method and device for acoustic emission monitoring of recycled concrete. The application relates to a data processing method and device for acoustic emission monitoring of recycled concrete. The application relates to a data processing method and device for acoustic emission monitoring of recycled concrete. The application relates to a data processing method and device for acoustic emission monitoring of recycled concrete. The application relates to a data processing method and device for acoustic emission monitoring of recycled concrete. 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The application relates to a data processing method and device for acoustic emission monitoring of recycled concrete. The application relates to a data processing method and device for acoustic emission monitoring of recycled concrete. The application relates to a data processing method and device for acoustic emission monitoring A file reading unit is configured to extract the acoustic emission cumulative energy, b value, stress and strain data from the designated Excel file by using a readtable function of MATLAB; An interpolation processing unit is configured to unify different data sources to the stress-strain time axis by linear interpolation.

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