A method for detecting and analyzing physical properties of polymer modified asphalt

Abstract

The present application relates to the technical field of asphalt performance analysis, and relates to a polymer modified asphalt physical performance detection and analysis method. The collected asphalt sample is subjected to vacuum degassing, multi-angle image bubble monitoring and uniform speed stirring pretreatment means, the uniformity of the asphalt sample is determined according to the physical state parameters at different positions, the reliability of subsequent detection data is further improved, and the sample is evenly divided into multiple target asphalt samples and placed in a constant temperature container, the heat conduction temperature of each target asphalt sample at different monitoring points in the constant temperature water bath is recorded in real time, the penetration of each target asphalt sample is detected after the sample reaches thermal equilibrium, the penetration index analysis is carried out according to the correlation between temperature and penetration, the physical performance of the polymer modified asphalt is evaluated based on the penetration index, the penetration data under different temperature gradients can be accurately obtained, the physical performance of the polymer modified asphalt is comprehensively and accurately evaluated, and reliable basis is provided for engineering quality control.

Description

Technical Field

[0001] This invention relates to the field of asphalt performance analysis technology, and specifically to a method for testing and analyzing the physical properties of polymer-modified asphalt. Background Technology

[0002] Polymer-modified asphalt has become the mainstream cementitious material for high-grade highway surface layers due to its excellent resistance to rutting and cracking. Its performance depends not only on the polymer content but also on dispersion uniformity and temperature sensitivity. Currently, the industry mainly evaluates asphalt performance through penetration testing combined with temperature parameters. However, the testing process involves multiple steps, and operational deviations or insufficient control precision at any stage can lead to distorted test results, making it difficult to accurately reflect the actual performance state of polymer-modified asphalt and thus posing potential risks to road engineering quality.

[0003] In the prior art, Chinese Patent Publication No. CN118010565A discloses a method, system, smart terminal and storage medium for testing the penetration of asphalt. This method obtains the trigger information of the asphalt sample preparation completion, controls the penetration instrument to perform the test based on the test point information and distribution angle information, and rotates the penetration instrument to update the test point according to the distribution angle information after the test is completed. It also adds steps such as adjusting the horizontal angle of the asphalt sample and controlling the contact depth based on water depth, thereby improving the efficiency of asphalt penetration testing.

[0004] Chinese Patent Publication No. CN101696970A discloses a method for detecting polymer dosage in modified asphalt based on penetration-temperature curves. This method involves plotting a standard penetration-temperature curve within the range of 10℃-35℃, then performing penetration tests on the test sample within the same temperature range and plotting the curves. The polymer dosage of the test sample is determined by comparing the curves.

[0005] However, the existing technology has the following problems: 1. Although the existing technology involves sample preparation, it lacks a preprocessing method of vacuum degassing-image joint judgment. Residual air bubbles inside the sample will increase the dispersion of subsequent penetration, resulting in the inability to reflect the true performance of asphalt. Furthermore, the uniformity of the sample is not verified by physical parameters such as viscosity and density. If the sample itself has uneven composition or state, even if the subsequent detection operation is accurate, it will cause the penetration and temperature correlation data to fluctuate drastically, and the reliability of the detection results will be greatly reduced.

[0006] 2. Although the existing technology sets a detection temperature range, it does not adopt multi-depth temperature detection and fluctuation adjustment, which cannot ensure the temperature uniformity of each area of ​​the water bath. Furthermore, it does not establish a quantitative judgment standard for thermal equilibrium, which can easily lead to the situation where the sample does not reach thermal equilibrium before the detection begins. As a result, the interference of temperature on the penetration detection cannot be eliminated, and the accuracy of the data is affected.

[0007] 3. Existing technologies only obtain penetration test data and do not combine temperature gradient for in-depth analysis and quantification. This makes it difficult to comprehensively and accurately evaluate the overall physical properties of polymer-modified asphalt, leading to the selection of unqualified materials in projects and failing to provide a reliable basis for project quality control. Summary of the Invention

[0008] To overcome the shortcomings of existing technologies, this invention provides a method for testing and analyzing the physical properties of polymer-modified asphalt, enabling a one-time quantitative evaluation of uniformity, temperature sensitivity, and comprehensive physical properties.

[0009] The technical solution adopted by the present invention to solve its technical problem is: a method for testing and analyzing the physical properties of polymer-modified asphalt, comprising: using a special sampling device to obtain multiple asphalt samples in different areas of a polymer-modified asphalt storage container, and pre-processing the collected asphalt samples.

[0010] The physical state parameters of the treated asphalt sample at different locations are detected. These physical state parameters include viscosity and density. The homogeneity of the asphalt sample is determined based on the physical state parameters at different locations.

[0011] The uniform asphalt sample was divided into multiple target asphalt samples and placed in constant temperature containers. Different water bath temperatures were adjusted, and the water bath temperature was determined to be constant based on real-time monitoring of the water bath temperature changes.

[0012] The thermal conductivity of each target asphalt sample at different monitoring points in a constant temperature water bath is recorded in real time, and the thermal equilibrium state is quantitatively judged to determine whether the sample has reached thermal equilibrium.

[0013] After the samples reached thermal equilibrium, the penetration of each target asphalt sample was tested to obtain the average penetration of the target asphalt samples under different temperature gradients.

[0014] Penetration index analysis was performed based on the correlation between temperature and penetration, and the physical properties of polymer-modified asphalt were evaluated based on the penetration index.

[0015] Compared with the prior art, the present invention has the following beneficial effects: (1) The present invention uses a special sampling device to obtain multiple asphalt samples in different areas of the polymer modified asphalt storage container, and performs pretreatment methods such as vacuum degassing, multi-angle image bubble monitoring and uniform stirring on the collected asphalt samples, which solves the problem of sample inhomogeneity caused by the single sampling area and lack of pretreatment in the prior art, improves the representativeness and uniformity of the samples, and lays an accurate foundation for reflecting the true performance of asphalt in the future.

[0016] (2) This invention detects the physical state parameters of the processed asphalt sample at different locations, and determines the uniformity of the asphalt sample based on the physical state parameters at different locations, thus solving the problem of drastic fluctuations in the test data, ensuring that uniform samples can be used for testing, and further improving the reliability of subsequent test data.

[0017] (3) The present invention divides the target asphalt samples into multiple samples and places them in constant temperature containers. The heat conduction temperature of each target asphalt sample at different monitoring points in the constant temperature water bath is recorded in real time. The sample is judged to have reached the thermal equilibrium state by combining the quantitative judgment standard of thermal equilibrium state. This enables precise control of the water bath temperature, ensuring that the sample reaches the thermal equilibrium state, reducing the temperature factor on the penetration detection error, improving the accuracy of the detection data results, and making the detection results truly correspond to the physical properties at the target temperature.

[0018] (4) This invention detects the average penetration of target asphalt samples under different temperature gradients, performs penetration index analysis based on the correlation between temperature and penetration, and evaluates the physical properties of polymer-modified asphalt based on the penetration index. It can accurately obtain penetration data under different temperature gradients, comprehensively and accurately evaluate the physical properties of polymer-modified asphalt, and provide a reliable basis for engineering quality control. Attached Figure Description

[0019] To more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0020] Figure 1 This is a schematic diagram showing the connection of the method steps of the present invention.

[0021] Figure 2 This is a schematic diagram of the process steps for determining the homogeneity of an asphalt sample in this invention.

[0022] Figure 3 This is a schematic diagram illustrating the steps for determining whether the water bath temperature is constant in this invention. Detailed Implementation

[0023] Various exemplary embodiments of the present invention will now be described in detail with reference to the accompanying drawings. It should be noted that, unless otherwise specifically stated, the relative arrangement, numerical expressions, and values ​​of the components and steps set forth in these embodiments do not limit the scope of the invention. Furthermore, it should be understood that, for ease of description, the dimensions of the various parts shown in the drawings are not drawn to actual scale.

[0024] The following description of at least one exemplary embodiment is merely illustrative and is in no way intended to limit the invention or its application or use. Techniques, methods, and apparatus known to those skilled in the art may not be discussed in detail, but where appropriate, such techniques, methods, and apparatus should be considered part of the specification.

[0025] In all examples shown and discussed herein, any specific values ​​should be interpreted as merely exemplary and not as limitations. Therefore, other examples of exemplary embodiments may have different values.

[0026] Please see Figure 1 As shown, the present invention provides a method for testing and analyzing the physical properties of polymer-modified asphalt, including: S1, using a special sampling device to obtain multiple asphalt samples in different areas of a polymer-modified asphalt storage container, and pre-processing the collected asphalt samples.

[0027] It should be noted that the special sampling device includes a sampling tube with adjustable sampling depth. The tube wall is provided with multiple sampling holes. During sampling, samples are collected from different depth layers at different locations in the polymer-modified asphalt storage container through the sampling holes, and the sample volume collected from each depth layer is the same as the total sample volume.

[0028] After sampling is completed, samples collected from different depth regions at different locations are merged into the same container to form samples to be processed.

[0029] In one specific embodiment, for a cylindrical asphalt storage container, different positions include radial positions and circumferential positions, wherein the radial position can be the center of the storage container, The radius and the inside of the storage container, the circumferential position can be divided into 4 directions along the circumference of the storage container to ensure full coverage of the storage container and avoid local sample deviation.

[0030] Each depth layer region can be divided into multiple layers according to the actual height of the storage container, ensuring that the sampling height range of each layer is clear and effectively avoiding depth overlap or omission.

[0031] The pretreatment of the collected asphalt samples specifically includes: pouring the sample to be treated into a vacuum degassing container with a sealed lid, and starting a vacuum pump to uniformly evacuate the vacuum degassing container to a set vacuum level. For example, the set value could be... This vacuum level can effectively remove air bubbles dissolved in asphalt without causing the light components in the asphalt to volatilize.

[0032] After maintaining the vacuum setting for a set time, a high-resolution industrial camera is used to take multi-angle pictures of the sample to be processed in the vacuum degassing tank to obtain a time-series image of the sample. If no bubbles appear on the surface in multiple consecutive images of the time-series image, the sample to be processed is transferred to a stirring device.

[0033] Start the mixing device and set the mixing parameters to mix the sample to be treated at a uniform speed to obtain the treated asphalt sample.

[0034] In one specific embodiment, the grayscale threshold method is used to identify bubbles in the time-series image of the sample to be processed. Asphalt is dark in color, and a grayscale threshold is set corresponding to the depth, for example, a grayscale threshold of 180. Bubbles are light in color, and areas with grayscale values ​​greater than the set grayscale threshold are identified as bubbles.

[0035] If no bubbles are detected on the surface of the multi-angle images corresponding to the three consecutive images in the time-series status image, the degassing is deemed qualified, and the sample to be processed is transferred to the stirring device. If bubbles are detected on the surface of the image corresponding to a certain angle in any consecutive image, the duration is extended and the bubbles are re-identified until the degassing is qualified, so as to avoid false degassing that would lead to increased dispersion of subsequent penetration.

[0036] This invention employs a specialized sampling device to obtain multiple asphalt samples from different areas of a polymer-modified asphalt storage container. The collected asphalt samples undergo pretreatment methods such as vacuum degassing, multi-angle image bubble monitoring, and uniform stirring. This solves the problem of sample inhomogeneity caused by the single sampling area and lack of pretreatment in existing technologies, thereby improving the representativeness and uniformity of the samples and laying an accurate foundation for reflecting the true performance of asphalt.

[0037] S2. Detect the physical state parameters of the treated asphalt sample at different locations, including viscosity and density, and determine the homogeneity of the asphalt sample based on the physical state parameters at different locations.

[0038] like Figure 2 As shown, the process for determining the homogeneity of an asphalt sample is as follows: A rotational viscometer is used to adjust the insertion depth to collect viscosity data at different locations within the processed asphalt sample; a densitometer is used to collect density data at different locations within the processed asphalt sample. The different locations within the asphalt sample can be randomly determined for the entire sample, ensuring that the collected parameters represent the true state of the entire sample and avoiding misjudgments based on a single point. This provides spatial representativeness for subsequent sample homogeneity testing.

[0039] By comparing the viscosity and density at different locations in the asphalt sample, the maximum difference in viscosity and the maximum difference in density between different locations and other locations were obtained.

[0040] If the maximum difference in viscosity and the maximum difference in density between all locations and other locations are within the preset allowable ranges for viscosity and density, respectively, then the asphalt sample is deemed to be of acceptable uniformity. If the maximum difference in viscosity or the maximum difference in density between a certain location and other locations exceeds the preset allowable range, then the asphalt sample is deemed to be of unacceptable uniformity and the asphalt sample needs to be re-pretreated.

[0041] In one specific embodiment, the preset viscosity allowable range is obtained through preliminary experimental verification results, for example, the preset viscosity allowable range is... If the viscosity exceeds the preset allowable range, the dispersion of subsequent penetration tests will exceed the industry's allowable upper limit for penetration dispersion error, thus failing to accurately reflect the performance of asphalt.

[0042] The preset density allowable range is set with reference to the asphalt industry standard. Its density difference mainly reflects the uniformity of the distribution of polymer components. If it exceeds the preset density allowable range, it will directly affect the asphalt's resistance to rutting and cracking.

[0043] This invention detects the physical state parameters of the processed asphalt sample at different locations, and determines the homogeneity of the asphalt sample based on the physical state parameters at different locations. This solves the problem of drastic fluctuations in test data, ensures that homogeneous samples can be used for testing, and further improves the reliability of subsequent test data.

[0044] S3. Divide the uniform asphalt sample into multiple target asphalt samples and place them in constant temperature containers. Adjust the water bath temperature to different levels and determine whether the water bath temperature is constant based on the real-time monitoring of the water bath temperature change.

[0045] like Figure 3 As shown, the method for determining whether the water bath temperature is constant is as follows: Multiple target asphalt samples are classified according to a set temperature gradient. The corresponding constant-temperature containers for each target asphalt sample within the same temperature gradient are placed in independent water baths. The water bath temperature in each independent water bath is then uniformly adjusted to the corresponding temperature gradient. Each temperature gradient corresponds to an independent water bath, achieving complete isolation between gradients. This ensures that the temperature of each gradient is regulated only by its own temperature control system. Simultaneously, the uniform adjustment of the water bath temperature effectively avoids excessively rapid temperature changes that could lead to localized overheating of the water within the bath and the formation of temporary temperature stratification.

[0046] Temperature sensors installed at different depths within independent water baths collect water bath temperatures at those depths. Temperature fluctuation analysis is then performed by comparing the water bath temperatures at each depth with the temperature gradient of the corresponding independent water bath to determine the degree of temperature fluctuation in each independent water bath. The degree of temperature fluctuation can be obtained from the standard deviation of the water bath temperature at each depth relative to the temperature gradient of the corresponding independent water bath.

[0047] If the temperature fluctuation of an independent water bath is less than the preset temperature fluctuation range, the water bath temperature is kept constant. Otherwise, the water bath temperature at each depth is compared with the corresponding temperature gradient to obtain the water bath temperature difference. Depths with a water bath temperature difference greater than the preset water bath temperature error value are selected, and the power of the heating element corresponding to that depth is adjusted until the water bath temperature is kept constant. Independent heating elements are arranged in a triangular pattern on the inner wall of the independent water bath at each depth to provide a uniform heating environment for the sample and improve the accuracy of subsequent sample thermal equilibrium determination.

[0048] In one specific embodiment, the temperature gradient setting method is based on the actual engineering application temperature range of polymer-modified asphalt, such as the requirement that road asphalt needs to withstand... The core temperature range for penetration detection is Set the temperature gradient as The intervals, with gradient combinations of 10℃, 15℃, 20℃, 25℃, 30℃, 35℃, and 40℃.

[0049] S4. Record the heat conduction temperature of each target asphalt sample at different monitoring points in a constant temperature water bath in real time, and determine whether the sample has reached the thermal equilibrium state by combining the quantitative judgment standard of thermal equilibrium state.

[0050] It should be noted that the determination of whether a sample has reached thermal equilibrium is as follows: the heat conduction temperature of each target asphalt sample at different monitoring points in a constant temperature water bath is compared with the quantitative judgment standard for thermal equilibrium. If a target asphalt sample meets the quantitative judgment standard for thermal equilibrium at the same time, then the target asphalt sample has reached thermal equilibrium.

[0051] The quantitative judgment criteria for thermal equilibrium include: the absolute value of the temperature difference between each monitoring point of the asphalt sample and the corresponding temperature of the constant temperature water bath is less than the preset first temperature deviation threshold. This ensures that there is no deviation between the sample and the water bath temperature, keeps the penetration error below the industry allowable error, and provides a temperature benchmark consistency guarantee for obtaining true penetration data.

[0052] The absolute value of the temperature difference between any two monitoring points in the asphalt sample within the preset thermal equilibrium temperature difference threshold range is maintained. This forces uniform temperature within the sample, ensuring a consistent temperature environment for subsequent penetration testing and providing data stability assurance for subsequent penetration index performance evaluation.

[0053] The difference between the thermal conductivity temperature at each monitoring point of the asphalt sample in the constant temperature water bath and its corresponding thermal conductivity temperature at the previous time point is less than the preset second temperature deviation threshold. This ensures long-term temperature stability of the sample, avoids short-term equilibrium traps, and maintains consistent temperature throughout the penetration test process, providing a time-dimensional consistency guarantee for comparing penetration data under different temperature gradients.

[0054] This invention divides the asphalt into multiple target samples and places them in constant temperature containers. It records the heat conduction temperature of each target asphalt sample at different monitoring points in a constant temperature water bath in real time. Combined with the quantitative judgment standard of thermal equilibrium state, it judges whether the sample has reached thermal equilibrium state. This allows for precise control of the water bath temperature, ensuring that the sample reaches thermal equilibrium state, reducing the impact of temperature factors on penetration detection errors, improving the accuracy of detection data results, and making the detection results truly correspond to the physical properties at the target temperature.

[0055] S5. After the samples reach thermal equilibrium, the penetration of each target asphalt sample is tested to obtain the average penetration of the target asphalt samples under different temperature gradients.

[0056] It should be noted that before performing penetration testing on each target asphalt sample, the surface smoothness of each target asphalt sample must be tested. If the surface smoothness of a target asphalt sample is lower than the set smoothness threshold, the surface of the target asphalt sample needs to be scraped smooth.

[0057] The initial leveling speed of the scraping device is determined based on the viscosity of the target asphalt sample. The surface image of the target asphalt sample is monitored in real time during the leveling process of the scraping device, and the leveling effect of the sample surface is identified based on the surface image of the target asphalt sample.

[0058] The initial scraping speed of the scraping device is adaptively adjusted based on the sample surface smoothing effect.

[0059] This invention employs surface smoothness detection and processing to eliminate interference from the surface morphology of asphalt samples, effectively reduce penetration deviation caused by surface morphology interference, and ensure the surface consistency of asphalt samples.

[0060] In one specific embodiment, a laser surface smoothness tester is used to measure the surface of the target asphalt sample. The smoothness of each point is collected at multiple points in a uniform distribution, and the average value is taken as the surface smoothness of the target asphalt sample.

[0061] The viscosity of asphalt samples directly affects the flowability and surface shaping properties during scraping. High viscosity results in poor flowability, making rapid scraping prone to surface scratches; low viscosity leads to easy flow, making slow scraping prone to surface depressions. Preliminary experiments can establish the surface scraping effect of different scraping speeds within different viscosity ranges of asphalt samples. The minimum scraping speed required for satisfactory surface scraping can be selected. A viscosity-scraping speed correlation model can be established by statistically analyzing the minimum scraping speeds corresponding to different viscosity ranges of asphalt samples. Substituting the viscosity of the target asphalt sample into this model determines the initial scraping speed of the scraping device.

[0062] The surface smoothing effect of the sample can be identified by processing the image using grayscale difference analysis to obtain the standard grayscale value of the smooth area of ​​the asphalt surface. If a bright area with a grayscale value greater than the standard grayscale value or a dark area with a grayscale value less than the standard grayscale value appears in the image, the surface smoothing effect of the sample is determined to be unqualified. The bright area is a raised area, characterized by strong light reflection; the dark area is a recessed area, characterized by weak light reflection.

[0063] When a raised area is identified, if the initial leveling speed is determined to be lower than the required sample viscosity, the initial leveling speed is slightly adjusted upwards. Each adjustment is a percentage of the initial leveling speed. After the adjustment, monitoring continues until the raised area disappears.

[0064] When a depression is identified, if the initial leveling speed is determined to be higher than the required sample viscosity, the initial leveling speed is slightly adjusted downwards. After the adjustment, monitoring continues until the depression is eliminated.

[0065] If no bright or dark areas appear on the sample surface, maintain the initial scraping speed until the entire scraping process is completed.

[0066] The average penetration of the target asphalt samples under different temperature gradients is specifically described as follows: An automatic penetration tester is used to vertically penetrate different detection points of each target asphalt sample under a preset constant load. After a preset monitoring time, the penetration depth of the standard needle of the automatic penetration tester is recorded. The average penetration value is calculated by averaging the penetration depths at different detection points and is used as the penetration value for each target asphalt sample. By covering the entire sample area at multiple points, random deviations at single points are avoided, ensuring the representativeness of the penetration value of a single sample.

[0067] The penetration of all target asphalt samples corresponding to different temperature gradients was statistically analyzed, and the average penetration of the target asphalt samples under different temperature gradients was obtained by mean analysis.

[0068] This invention reduces random errors in single tests by repeatedly verifying with the same sample, making the average penetration data under different temperature gradients continuous and stable, providing a high-quality data foundation for subsequent analysis of the penetration index. If the average penetration data is discrete, the penetration index calculation will be biased, leading to a distortion in the asphalt performance evaluation.

[0069] S6. Based on the relationship between temperature and penetration, conduct penetration index analysis, and evaluate the physical properties of polymer-modified asphalt based on the penetration index.

[0070] It should be noted that the penetration index analysis based on the correlation between temperature and penetration is performed as follows: the average penetration of the target asphalt sample under different temperature gradients is converted into logarithmic form to obtain the logarithm of penetration under each temperature gradient, and these logarithms are sorted from low to high temperature to form a correlation dataset between temperature and the logarithm of penetration.

[0071] A correlation model was constructed based on the van der Bohr equation. The least squares method was used to perform linear regression analysis on the correlation dataset of temperature and the logarithm of penetration, and the slope and intercept of the regression equation were calculated.

[0072] A penetration index evaluation model is constructed based on the slope and intercept of the regression equation. The logarithm of penetration in the associated dataset is substituted into the penetration index evaluation model to output the penetration index under each temperature gradient.

[0073] In one specific embodiment, the logarithmic form can be combined with the existing technology for calculating the penetration index, and the commonly used logarithm, the base 10 logarithm, can be explicitly adopted, because the correlation between the penetration index calculated by the commonly used logarithm and the temperature sensitivity of asphalt is more in line with engineering practice.

[0074] In this embodiment, the corresponding formula for the penetration index evaluation model is defined as follows: .

[0075] in, The penetration index, The logarithm of the needle depth. The intercept of the regression equation is... The slope of the regression equation reflects temperature sensitivity; the steeper the slope, the more sensitive the asphalt is to temperature. To set constants, these can be obtained by combining industry-standard definitions of key performance parameters for asphalt, such as in this embodiment. , It is derived by reverse engineering from the van der Bohr equation, which is: , For temperature gradient.

[0076] The method for evaluating the physical properties of polymer-modified asphalt based on the penetration index specifically includes: comparing the penetration indices at each temperature gradient and filtering for the largest difference in penetration indices. If the largest difference in penetration indices exceeds a set allowable error value, the largest and smallest penetration indices at each temperature gradient are removed. The remaining penetration indices are then compared and filtered until the largest difference in penetration indices is less than the set allowable error value. Finally, the average penetration index at each temperature gradient is taken as the penetration index of the polymer-modified asphalt. This invention eliminates the interference of data fluctuations on the evaluation results by removing the largest and smallest penetration indices at each temperature gradient, avoiding misjudgments caused by data deviations at a particular temperature gradient.

[0077] The penetration index of polymer-modified asphalt is compared with the standard penetration index range of polymer-modified asphalt within the corresponding temperature gradient range. If the penetration index of polymer-modified asphalt is within the standard penetration index range, then the physical properties of polymer-modified asphalt meet the requirements.

[0078] This invention detects the average penetration of target asphalt samples under different temperature gradients, performs penetration index analysis based on the correlation between temperature and penetration, and evaluates the physical properties of polymer-modified asphalt based on the penetration index. It can accurately obtain penetration data under different temperature gradients, comprehensively and accurately evaluate the physical properties of polymer-modified asphalt, and provide a reliable basis for engineering quality control.

[0079] The above formulas are all dimensionless calculations. The formulas are derived from software simulations based on a large amount of collected data to obtain the most recent real-world results. The preset parameters in the formulas are set by those skilled in the art according to the actual situation.

[0080] The above embodiments can be implemented, in whole or in part, by software, hardware, firmware, or any other combination thereof. When implemented using software, the above embodiments can be implemented, in whole or in part, in the form of a computer program product.

[0081] Those skilled in the art will recognize that the modules and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0082] In addition, the functional modules in the various embodiments of this application can be integrated into one processing module, or each module can exist physically separately, or two or more modules can be integrated into one module.

[0083] The above description is merely a specific embodiment 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.

[0084] Finally, 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, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A method for testing and analyzing the physical properties of polymer-modified asphalt, characterized in that, include: Multiple asphalt samples were obtained from different areas of the polymer-modified asphalt storage container using a dedicated sampling device, and the collected asphalt samples were pretreated. The physical state parameters of the treated asphalt sample at different locations were detected, including viscosity and density. The homogeneity of the asphalt sample was determined based on the physical state parameters at different locations. The uniform asphalt sample was divided into multiple target asphalt samples and placed in constant temperature containers. Different water bath temperatures were adjusted, and the water bath temperature was determined to be constant based on real-time monitoring of the water bath temperature changes. Real-time recording of the heat conduction temperature of each target asphalt sample at different monitoring points in a constant temperature water bath, combined with the quantitative judgment standard of thermal equilibrium state to determine whether the sample has reached thermal equilibrium state. The criteria for determining whether a sample has reached thermal equilibrium are as follows: The thermal conductivity temperature of each target asphalt sample at different monitoring points in a constant temperature water bath is compared with the quantitative judgment standard for thermal equilibrium. If a target asphalt sample meets the quantitative judgment standard for thermal equilibrium at the same time, then the target asphalt sample has reached thermal equilibrium. The quantitative criteria for judging thermal equilibrium include: The absolute value of the temperature difference between each monitoring point of the asphalt sample and the corresponding temperature of the constant temperature water bath is less than the preset first temperature deviation threshold. The absolute value of the temperature difference between any two monitoring points of the asphalt sample in the constant temperature water bath is within the preset thermal equilibrium temperature difference threshold range. The difference between the thermal conductivity temperature of each monitoring point of the asphalt sample in the constant temperature water bath and the corresponding thermal conductivity temperature at the previous time is less than the preset second temperature deviation threshold. After the samples reached thermal equilibrium, the penetration of each target asphalt sample was tested to obtain the average penetration of the target asphalt sample under different temperature gradients. Before performing penetration testing on each target asphalt sample, the surface smoothness of each target asphalt sample needs to be tested. If the surface smoothness of a target asphalt sample is lower than the set smoothness threshold, the surface of the target asphalt sample needs to be scraped smooth. The initial leveling speed of the scraping device is determined based on the viscosity of the target asphalt sample. The surface image of the target asphalt sample is monitored in real time during the leveling process of the scraping device. The leveling effect of the sample surface is identified based on the surface image of the target asphalt sample. The initial scraping speed of the scraping device is adaptively adjusted based on the sample surface scraping effect. The surface smoothing effect of different smoothing speeds under different viscosity ranges of asphalt samples was established through preliminary experiments. The lowest smoothing speed that meets the requirements of the surface smoothing effect was screened. The lowest smoothing speed corresponding to each viscosity range of asphalt samples was statistically analyzed to establish a viscosity-smoothing speed correlation model. The viscosity of the target asphalt sample was substituted into the viscosity-smoothing speed correlation model to determine the initial smoothing speed of the scraping device. The surface smoothing effect of the sample is identified by processing the image using the gray-scale difference analysis method to obtain the standard gray-scale value of the smooth area of ​​the asphalt surface. If a bright area with a gray-scale value greater than the standard gray-scale value or a dark area with a gray-scale value less than the standard gray-scale value appears in the image, the surface smoothing effect of the sample is determined to be unqualified. The bright area is a raised area, characterized by strong light reflection; the dark area is a recessed area, characterized by weak light reflection. When a raised area is identified, if the initial leveling speed is determined to be lower than the required sample viscosity, the initial leveling speed is finely adjusted upwards. Each fine adjustment is a unit percentage of the initial leveling speed. After fine adjustment, monitoring continues until the raised area disappears. When a depression area is identified, if the initial scraping speed is determined to be higher than the sample viscosity requirement, the initial scraping speed is slightly adjusted downwards, and monitoring continues until the depression area is eliminated. If no bright or dark areas appear on the sample surface, maintain the initial scraping speed until the entire scraping process is completed. Penetration index analysis was performed based on the correlation between temperature and penetration, and the physical properties of polymer-modified asphalt were evaluated based on the penetration index.

2. The method for testing and analyzing the physical properties of polymer-modified asphalt according to claim 1, characterized in that: The dedicated sampling device includes a sampling tube with adjustable sampling depth. The tube wall is provided with multiple sampling holes. During sampling, samples are collected from different depth layers at different locations in the polymer-modified asphalt storage container through the sampling holes, and the sample volume collected from each depth layer is the same as the total sample volume. After sampling is completed, samples collected from different depth regions at different locations are merged into the same container to form samples to be processed.

3. The method for testing and analyzing the physical properties of polymer-modified asphalt according to claim 2, characterized in that: The pretreatment of the collected asphalt samples specifically includes: Pour the sample to be processed into a vacuum degassing container with a sealed lid, and start the vacuum pump to evacuate the vacuum degassing container at a constant speed to bring the vacuum level of the vacuum degassing container to the set value. After maintaining the vacuum setting value for a set time, a high-resolution industrial camera is used to take multi-angle pictures of the sample to be processed in the vacuum degassing tank to obtain a time-series image of the sample to be processed. If no bubbles appear on the surface in multiple consecutive images of the time-series image, the sample to be processed is transferred to the stirring device. Start the mixing device and set the mixing parameters to mix the sample to be treated at a uniform speed to obtain the treated asphalt sample.

4. The method for testing and analyzing the physical properties of polymer-modified asphalt according to claim 1, characterized in that: The process for determining the homogeneity of the asphalt sample is as follows: The viscosity of the processed asphalt sample at different locations was collected by adjusting the insertion depth using a rotational viscometer, and the density of the processed asphalt sample at different locations was collected by a densitometer. The viscosity and density at different locations in the asphalt sample were compared to obtain the maximum difference in viscosity and the maximum difference in density between different locations and other locations. If the maximum difference in viscosity and the maximum difference in density between all locations and other locations are within the preset allowable ranges for viscosity and density, respectively, then the asphalt sample is deemed to be of acceptable uniformity. If the maximum difference in viscosity or the maximum difference in density between a certain location and other locations exceeds the preset allowable range, then the asphalt sample is deemed to be of unacceptable uniformity and the asphalt sample needs to be re-pretreated.

5. The method for testing and analyzing the physical properties of polymer-modified asphalt according to claim 1, characterized in that: The method for determining whether the water bath temperature is constant is as follows: Multiple target asphalt samples are classified according to the number of set temperature gradients. The constant temperature containers corresponding to each target asphalt sample in the same temperature gradient are placed in independent water baths, and the water bath temperature in the independent water baths is adjusted to the corresponding temperature gradient at a uniform rate. By collecting the water bath temperature at different depths in the independent water bath, the water bath temperature at each depth is compared with the temperature gradient of the corresponding independent water bath to obtain the degree of temperature fluctuation in each independent water bath. If the temperature fluctuation of an independent water bath is less than the preset temperature fluctuation, the water bath temperature of the independent water bath is constant. Otherwise, the water bath temperature at each depth is compared with the corresponding temperature gradient to obtain the water bath temperature difference. The depth position with the water bath temperature difference greater than the preset water bath temperature error value is selected, and the power of the heating element corresponding to the depth position is adjusted until the water bath temperature is constant.

6. The method for testing and analyzing the physical properties of polymer-modified asphalt according to claim 5, characterized in that: The average penetration of the target asphalt samples under different temperature gradients is detailed below: An automatic needle penetration tester was used to vertically penetrate different detection points of each target asphalt sample under a preset constant load. After the preset monitoring time was reached, the penetration depth of the standard needle of the automatic needle penetration tester was recorded. The average penetration value was calculated by averaging the penetration depths of different detection points and used as the penetration value of each target asphalt sample. The penetration of all target asphalt samples corresponding to different temperature gradients was statistically analyzed, and the average penetration of the target asphalt samples under different temperature gradients was obtained by mean analysis.

7. The method for testing and analyzing the physical properties of polymer-modified asphalt according to claim 6, characterized in that: The penetration index analysis based on the correlation between temperature and penetration is performed as follows: The average penetration of the target asphalt samples under different temperature gradients is converted into logarithmic form to obtain the logarithm of penetration under each temperature gradient. These logarithms are then sorted from low to high temperature to form a dataset relating temperature and logarithm of penetration. A correlation model was constructed based on the van der Bohr equation. The least squares method was used to perform linear regression analysis on the correlation dataset of temperature and the logarithm of penetration, and the slope and intercept of the regression equation were calculated. A penetration index evaluation model is constructed based on the slope and intercept of the regression equation. The logarithm of penetration in the associated dataset is substituted into the penetration index evaluation model to output the penetration index under each temperature gradient.

8. The method for testing and analyzing the physical properties of polymer-modified asphalt according to claim 7, characterized in that: The physical properties of polymer-modified asphalt were evaluated based on the penetration index, specifically including: The penetration index under each temperature gradient is compared and the maximum difference in penetration index is selected. If the maximum difference in penetration index is greater than the set allowable error value for penetration index, the maximum and minimum penetration index under each temperature gradient are removed. The remaining penetration indices are compared and selected until the maximum difference in penetration index is less than the set allowable error value for penetration index. The average penetration index under each temperature gradient is then used as the penetration index of polymer modified asphalt. The penetration index of polymer-modified asphalt is compared with the standard penetration index range of polymer-modified asphalt within the corresponding temperature gradient range. If the penetration index of polymer-modified asphalt is within the standard penetration index range, then the physical properties of polymer-modified asphalt meet the requirements.

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