Base layer and lower surface layer self-contained micro-slip test system and method

Abstract

The invention discloses a base layer and lower surface layer self-contained micro-slip test system and method, and relates to the technical field of road detection. The loading system is used for detecting the infinitesimal displacement between the base layer and the lower surface layer in real time; the data acquisition system is used for recording data generated in a testing process; the data processing system is used for processing and analyzing the acquired data; and the data analysis system is used for acquiring slippage and other related parameters. According to the specific test method, filtering, smoothing and de-noising processing is carried out on collected data, and the accuracy of the data is improved; calculating the micro slip amount between the base layer and the lower layer according to the processed data, and generating related statistical data; a graphical interface is provided, a slip curve and a load and displacement relation graph are displayed, and a user is helped to visually understand a test result; and automatically generating a test report including test conditions, data analysis results and suggested improvement measures.

Description

Technical Field

[0001] The invention relates to the technical field of road detection, and in particular to a system and method for testing micro-slippage between a base layer and an underlying layer. Background Art

[0002] The micro-slip phenomenon between the base layer and the underlying layer of asphalt pavement directly affects the durability and performance of the pavement. Micro-slip refers to the tiny relative displacement between the base layer and the underlying layer under the action of external force. In the existing technology, although there are some methods to detect macro-slip, the accurate measurement of micro-slip phenomenon is still challenging. Existing testing methods often lack the ability to detect tiny displacements with high resolution. Summary of the invention

[0003] The purpose of the present invention is to overcome the above-mentioned deficiencies in the prior art and to provide a system and method for testing micro-slippage between the base layer and the underlying layer. Through precise testing system and detailed testing method, the micro-slippage phenomenon can be effectively detected and quantified, thereby improving the scientific nature of pavement design and maintenance.

[0004] In order to achieve the above-mentioned object of the invention, the present invention provides the following technical solutions:

[0005] In one aspect, the present invention provides a system for testing micro-slippage between a base layer and an underlying layer, comprising:

[0006] Loading system, used to simulate the external forces in actual use and applied to the asphalt pavement base and underlying layers;

[0007] Slip measurement system for real-time detection of minute displacements between the base layer and the layer below;

[0008] Data acquisition system, used to record the data generated during the test;

[0009] The data analysis system is used to process and analyze the collected data to obtain the slip amount and other related parameters.

[0010] Furthermore, the loading system comprises:

[0011] The loading device is composed of an electro-hydraulic servo system; wherein the hydraulic cylinder is used to apply the load; and the servo controller adjusts the working state of the hydraulic cylinder to achieve precise control of the loading force;

[0012] A loading plate, which is connected to the loading device and is responsible for applying the shear force evenly to the specimen;

[0013] Load sensors are used to measure the applied load in real time and transmit the data to the data acquisition system.

[0014] Further, the slip measurement system comprises:

[0015] A micro-slip sensor, wherein the micro-slip sensor uses a high-precision displacement sensor, such as a laser displacement sensor or a photoelectric sensor, which can measure tiny displacement changes;

[0016] An optical measuring device, comprising a high-definition camera and an optical microscope, for capturing image data during the sliding process;

[0017] An image processing module processes and analyzes the collected image data and calculates the micro-slip amount.

[0018] Furthermore, the data acquisition system includes:

[0019] Data logger: Receive and record real-time data from the slip measurement system and loading system;

[0020] Storage device: used to save raw data for subsequent analysis and processing;

[0021] Interface module: used to connect the data logger to the computer control system to realize data transmission.

[0022] Furthermore, the data analysis system includes:

[0023] Data processing module: filter, smooth and denoise the collected data to improve the accuracy of the data;

[0024] Slip calculation module: calculates the micro-slip between the base layer and the underlying layer based on the processed data and generates relevant statistical data;

[0025] Result visualization module: provides a graphical interface to display slip curves and load-displacement relationship diagrams to help users intuitively understand the test results;

[0026] Report generation module: Automatically generate test reports including test conditions, data analysis results and suggested improvement measures.

[0027] Another aspect of the present invention provides a method for testing the micro-slippage of a base layer and a lower layer, which is applied to the above-mentioned system for testing the micro-slippage of a base layer and a lower layer, and comprises the following steps:

[0028] Sample preparation: Prepare the asphalt pavement base and lower layer into standard size samples and install them on the test platform;

[0029] Loading settings: Set the working parameters of the loading device, such as the applied shear force and loading rate;

[0030] Data acquisition: Start the data acquisition system to record the displacement data and load data of the sample during the loading process;

[0031] Data analysis: Use the data analysis system to process the collected data, calculate the micro-slip amount, and generate a test report.

[0032] Furthermore,

[0033] In the data analysis, the following steps are used to calculate the microslip:

[0034] S1. Data preprocessing:

[0035] Denoising, applying Kalman filtering or median filtering algorithms to remove noise from sensor data;

[0036] Smoothing, using sliding average or other smoothing algorithms to reduce data fluctuations;

[0037] S2. Displacement calculation:

[0038] Sensor data conversion,The electrical signal output by the micro-slip sensor is converted into displacement data. Assuming that the sensitivity of the sensor is S and the output voltage is V, the displacement d can be expressed as: d = v / s;

[0039] Image data analysis: The image captured by the optical measuring device is processed and the displacement is calculated using image matching technology. Assuming that the image resolution is R pixels / mm and the pixel change on the displacement image is △p, the displacement d can be expressed as: d = △p / R;

[0040] S3, micro slip calculation:

[0041] Slip calculation,The micro-slip is calculated by integrating the sensor data and the image processing results.,Assuming that the displacement measured by the sensor is s(sensor) and the displacement obtained by image processing is d(image), the micro-slip d(micro) can be expressed as: d(micro) =s(sensor) / 2+d(image) / 2;

[0042] S4. Data fitting:

[0043] Regression analysis: Use linear regression or polynomial regression model to fit the micro-slip data to obtain the relationship between slip and load. Solve the regression equation by least square method to obtain the mathematical model of micro-slip.

[0044] S5. Result analysis:

[0045] Slip curve, that is, drawing a curve of slip amount versus load to analyze slip performance;

[0046] Statistical analysis, that is, calculating the mean, standard deviation and other statistical indicators of slip to evaluate the slip characteristics of the material.

[0047] Furthermore, a curing period is reserved for the specimens during sample preparation: non-modified asphalt mixture is placed for 2d to 3d; modified asphalt mixture is placed for 3d to 5d, high-viscosity modified asphalt mixture is placed for 5d to 10d, and high-polymer modified asphalt mixture is placed for 10d to 15d.

[0048] Compared with the prior art, the present invention has the following advantages and beneficial effects:

[0049] The present invention realizes accurate detection of micro-slip phenomenon through high-precision loading and measurement technology. The system and method can provide important data support for the design, construction and maintenance of asphalt pavement, and improve the quality and safety of road engineering. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] Figure 1 It is a schematic diagram of the main process of the testing method of the present invention. DETAILED DESCRIPTION

[0051] The present invention is further described in detail below in conjunction with test examples and specific implementation methods. However, this should not be understood as the scope of the above subject matter of the present invention being limited to the following embodiments, and all technologies realized based on the content of the present invention belong to the scope of the present invention.

[0052] In one aspect, the present invention provides a system for testing micro-slippage between a base layer and an underlying layer, comprising:

[0053] Loading system, used to simulate the external forces in actual use and applied to the asphalt pavement base and underlying layers;

[0054] Slip measurement system for real-time detection of minute displacements between the base layer and the layer below;

[0055] Data acquisition system, used to record the data generated during the test;

[0056] The data analysis system is used to process and analyze the collected data to obtain the slip amount and other related parameters.

[0057] Further optimizing the above embodiment, the loading system includes:

[0058] The loading device is composed of an electro-hydraulic servo system; wherein the hydraulic cylinder is used to apply the load; and the servo controller adjusts the working state of the hydraulic cylinder to achieve precise control of the loading force;

[0059] A loading plate, which is connected to the loading device and is responsible for applying the shear force evenly to the specimen;

[0060] Load sensors are used to measure the applied load in real time and transmit the data to the data acquisition system.

[0061] The above embodiment is further optimized, and the slip measurement system includes:

[0062] A micro-slip sensor, wherein the micro-slip sensor uses a high-precision displacement sensor, such as a laser displacement sensor or a photoelectric sensor, which can measure tiny displacement changes;

[0063] An optical measuring device, comprising a high-definition camera and an optical microscope, for capturing image data during the sliding process;

[0064] An image processing module processes and analyzes the collected image data and calculates the micro-slip amount.

[0065] Further optimizing the above embodiment, the data acquisition system includes:

[0066] Data logger: Receive and record real-time data from the slip measurement system and loading system;

[0067] Storage device: used to save raw data for subsequent analysis and processing;

[0068] Interface module: used to connect the data logger to the computer control system to realize data transmission.

[0069] Further optimizing the above embodiment, the data analysis system includes:

[0070] Data processing module: filter, smooth and denoise the collected data to improve the accuracy of the data;

[0071] Slip calculation module: calculates the micro-slip between the base layer and the underlying layer based on the processed data and generates relevant statistical data;

[0072] Result visualization module: provides a graphical interface to display slip curves and load-displacement relationship diagrams to help users intuitively understand the test results;

[0073] Report generation module: Automatically generate test reports including test conditions, data analysis results and suggested improvement measures.

[0074] Another aspect of the present invention provides a method for testing the micro-slippage of a base layer and a lower layer, which is applied to the above-mentioned system for testing the micro-slippage of a base layer and a lower layer, and comprises the following steps:

[0075] Sample preparation: Prepare the asphalt pavement base and lower layer into standard size samples and install them on the test platform;

[0076] Loading settings: Set the working parameters of the loading device, such as the applied shear force and loading rate;

[0077] Data acquisition: Start the data acquisition system to record the displacement data and load data of the sample during the loading process;

[0078] Data analysis: Use the data analysis system to process the collected data, calculate the micro-slip amount, and generate a test report.

[0079] Further optimize the above embodiment,

[0080] In the data analysis, the following steps are used to calculate the microslip:

[0081] S1. Data preprocessing:

[0082] Denoising, applying Kalman filtering or median filtering algorithms to remove noise from sensor data;

[0083] Smoothing, using sliding average or other smoothing algorithms to reduce data fluctuations;

[0084] S2. Displacement calculation:

[0085] Sensor data conversion,The electrical signal output by the micro-slip sensor is converted into displacement data. Assuming that the sensitivity of the sensor is S and the output voltage is V, the displacement d can be expressed as: d = v / s;

[0086] Image data analysis: The image captured by the optical measuring device is processed and the displacement is calculated using image matching technology. Assuming that the image resolution is R pixels / mm and the pixel change on the displacement image is △p, the displacement d can be expressed as: d = △p / R;

[0087] S3, micro slip calculation:

[0088] Slip calculation,The micro-slip is calculated by integrating the sensor data and the image processing results.,Assuming that the displacement measured by the sensor is s(sensor) and the displacement obtained by image processing is d(image), the micro-slip d(micro) can be expressed as: d(micro) =s(sensor) / 2+d(image) / 2;

[0089] S4. Data fitting:

[0090] Regression analysis: use linear regression or polynomial regression model to fit the micro-slip data to obtain the relationship between slip and load, and solve the regression equation by least square method to obtain the mathematical model of micro-slip;

[0091] S5. Result analysis:

[0092] Slip curve, that is, drawing a curve of slip amount versus load to analyze slip performance;

[0093] Statistical analysis, that is, calculating the mean, standard deviation and other statistical indicators of slip to evaluate the slip characteristics of the material.

[0094] The above embodiment is further optimized by reserving a curing period for the specimens during sample preparation: the non-modified asphalt mixture is placed for 2 to 3 days; the modified asphalt mixture is placed for 3 to 5 days, the high-viscosity modified asphalt mixture is placed for 5 to 10 days, and the high-polymer modified asphalt mixture is placed for 10 to 15 days.

[0095] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A micro-slip test system for a base layer and a lower layer, characterized in that: include: Loading system, used to simulate the external forces in actual use and applied to the asphalt pavement base and underlying layers; Slip measurement system for real-time detection of minute displacements between the base layer and the layer below; Data acquisition system, used to record the data generated during the test; The data analysis system is used to process and analyze the collected data to obtain the slip amount and other related parameters.

2. A base layer and underlying layer self-slip test system according to claim 1, characterized in that: The loading system comprises: The loading device is composed of an electro-hydraulic servo system; wherein the hydraulic cylinder is used to apply the load; and the servo controller adjusts the working state of the hydraulic cylinder to achieve precise control of the loading force; A loading plate, which is connected to the loading device and is responsible for applying the shear force evenly to the specimen; Load sensors are used to measure the applied load in real time and transmit the data to the data acquisition system.

3. A base layer and underlying layer self-slip test system according to claim 2, characterized in that: The slip measurement system consists of: A micro-slip sensor, wherein the micro-slip sensor uses a high-precision displacement sensor, such as a laser displacement sensor or a photoelectric sensor, which can measure tiny displacement changes; An optical measuring device, comprising a high-definition camera and an optical microscope, for capturing image data during the sliding process; An image processing module processes and analyzes the collected image data and calculates the micro-slip amount.

4. A base layer and underlying layer self-slip test system according to claim 3, characterized in that: The data acquisition system includes: Data logger, receiving and recording real-time data from the slip measurement system and loading system; Storage devices, used to save raw data for subsequent analysis and processing; Interface module, used to connect the data logger to the computer control system to achieve data transmission.

5. A micro-slip test system for a base layer and an underlying layer according to claim 3, characterized in that: The data analysis system includes: The data processing module filters, smoothes and removes noise from the collected data to improve the accuracy of the data; The slip calculation module calculates the micro slip between the base layer and the underlying layer based on the processed data and generates relevant statistical data; The result visualization module provides a graphical interface to display the slip curve and load-displacement relationship diagram to help users intuitively understand the test results; The report generation module automatically generates test reports, including test conditions, data analysis results and suggested improvement measures.

6. The method for testing the micro-slip of a base layer and a lower layer according to claim 1 is applied to the system for testing the micro-slip of a base layer and a lower layer according to any one of claims 1 to 5, characterized in that: The steps include: Sample preparation: Prepare the asphalt pavement base and lower layer into standard size samples and install them on the test platform; Loading settings: Set the working parameters of the loading device, such as the applied shear force and loading rate; Data acquisition: Start the data acquisition system to record the displacement data and load data of the sample during the loading process; Data analysis: Use the data analysis system to process the collected data, calculate the micro-slip amount, and generate a test report.

7. A method for testing the micro-slip between a base layer and an underlying layer according to claim 1, characterized in that: In the data analysis, the following steps are used to calculate the microslip: S1. Data preprocessing: Denoising, applying Kalman filtering or median filtering algorithms to remove noise from sensor data; Smoothing, using sliding average or other smoothing algorithms to reduce data fluctuations; S2. Displacement calculation: Sensor data conversion,The electrical signal output by the micro-slip sensor is converted into displacement data. Assuming that the sensitivity of the sensor is S and the output voltage is V, the displacement d can be expressed as: d = v / s; Image data analysis, the image captured by the optical measuring device is processed, and the displacement is calculated using image matching technology. Assuming that the image resolution is R pixels / mm and the pixel change on the displacement image is △p, the displacement d can be expressed as: d = △p / R; S3, micro slip calculation: Slip calculation,The micro slip is calculated by integrating the sensor data and the image processing results.,Assuming that the displacement measured by the sensor is s(sensor) and the displacement obtained by image processing is d(image), the micro slip d(micro) can be expressed as: d(micro) = s(sensor) / 2+d(image) / 2; S4. Data fitting: Regression analysis: use linear regression or polynomial regression model to fit the micro-slip data to obtain the relationship between slip and load, and solve the regression equation by least square method to obtain the mathematical model of micro-slip; S5. Result analysis: Slip curve, that is, drawing a curve of slip amount versus load to analyze slip performance; Statistical analysis, that is, calculating the mean, standard deviation and other statistical indicators of slip to evaluate the slip characteristics of the material.

8. A method for testing micro-slip between a base layer and an underlying layer according to claim 1, characterized in that: During sample preparation, a curing period is reserved for the specimens: non-modified asphalt mixture is placed for 2d to 3d; modified asphalt mixture is placed for 3d to 5d, high-viscosity modified asphalt mixture is placed for 5d to 10d, and high-polymer modified asphalt mixture is placed for 10d to 15d.

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