Method for detecting and analyzing physical properties of polymer modified asphalt

By employing a dedicated sampling device and thermal balance control in the testing of polymer-modified asphalt, the problems of sample inhomogeneity and inaccurate temperature control were solved, enabling a comprehensive and accurate evaluation of the performance of polymer-modified asphalt and ensuring the reliability of the test results.

CN120890852AActive Publication Date: 2025-11-04XIANYANG JINGWEI INVESTMENT CO LTD +1

Patent Information

Application Number
CN202511394672.X
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-09-28
Publication Date
2025-11-04
Estimated Expiration
2045-09-28

AI Technical Summary

Technical Problem

Existing technologies for testing the properties of polymer-modified asphalt suffer from problems such as sample inhomogeneity, inaccurate temperature control, and low reliability of test data, making it difficult to comprehensively evaluate its physical properties.

Method used

Multiple asphalt samples were obtained using a dedicated sampling device, and vacuum degassing and multi-angle image monitoring were performed. Uniformity was determined by combining viscosity and density parameters, and penetration was detected by real-time monitoring of thermal equilibrium state to establish the correlation between temperature and penetration.

Benefits of technology

This improves sample uniformity and the reliability of test data, ensuring that test results accurately reflect the true performance of polymer-modified asphalt and providing a reliable basis for road engineering quality.

✦ Generated by Eureka AI based on patent content.

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Patent Text Reader

Abstract

The invention relates to the technical field of asphalt performance analysis, in particular to a method for detecting and analyzing physical properties of polymer modified asphalt. According to the invention, the collected asphalt sample is subjected to pretreatment means of vacuum degassing, multi-angle image bubble monitoring and constant-speed stirring, the uniformity of the asphalt sample is judged according to physical state parameters at different positions, the reliability of subsequent detection data is further improved, and a plurality of uniformly-divided target asphalt samples are respectively placed in the constant-temperature containers; the method comprises the following steps: recording the heat conduction temperature of each target asphalt sample at different monitoring points in a constant-temperature water bath in real time, carrying out penetration detection on each target asphalt sample after the sample reaches heat balance, carrying out penetration index analysis according to the incidence relation between the temperature and the penetration, and evaluating the physical properties of the polymer modified asphalt based on the penetration index. The penetration data under different temperature gradients can be accurately obtained, the physical properties of the polymer modified asphalt can be comprehensively and accurately evaluated, and a reliable basis is provided for engineering quality control.
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Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of asphalt performance analysis, and relates to a method for detecting and analyzing physical performance of polymer modified asphalt. BACKGROUND

[0002] Polymer modified asphalt has become the mainstream binder material for high-grade highway surface layer due to its excellent anti-rutting and anti-cracking performance. Its performance not only depends on the polymer content, but also is affected by the uniformity of dispersion and temperature sensitivity. Currently, the industry mainly evaluates the performance of asphalt through penetration detection combined with temperature parameters, but the detection process needs to go through multiple links. Any operation deviation or control precision deficiency in any link may lead to distorted detection results, making it difficult to accurately reflect the actual performance state of polymer modified asphalt, and further causing hidden dangers to road engineering quality.

[0003] In the prior art, Chinese Patent Publication No. CN118010565A discloses an asphalt penetration detection method, system, intelligent terminal and storage medium. The method obtains asphalt sample preparation completion trigger information, controls the penetration instrument device to detect based on test point information and distribution angle information, rotates the penetration instrument to update the test point according to the distribution angle information after detection is completed, and adds steps such as asphalt sample horizontal angle adjustment and contact depth control based on water depth, thereby improving the detection efficiency of asphalt penetration.

[0004] Chinese Patent Publication No. CN101696970A discloses a method for detecting polymer dosage in modified asphalt based on penetration-temperature curve. The method draws a standard penetration-temperature curve in the range of 10-35℃, then detects the penetration of the test sample in the same temperature range and draws a curve, and determines the polymer dosage of the test sample by comparing the curves.

[0005] However, the prior art has the following problems: 1. The prior art involves sample preparation, but lacks a vacuum degassing-image joint judgment pretreatment means. The residual bubbles in the test sample will increase the subsequent penetration dispersion, making it impossible to reflect the real performance of the asphalt. Moreover, the sample uniformity 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, the penetration and temperature related data will fluctuate dramatically, and the reliability of the detection results will be greatly reduced.

[0006] 2. The prior art sets a detection temperature range, but does not use multi-depth temperature detection and fluctuation adjustment, which cannot ensure the uniformity of the temperature in each area of the water bath, and does not establish a quantitative judgment standard for thermal equilibrium. It is easy to start detection when the sample has not reached the state of thermal equilibrium, which cannot eliminate the interference of temperature on penetration detection and affects the accuracy of the data.

[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) The application solves the problem of severe detection data fluctuation by detecting the physical state parameters of the treated asphalt sample at different positions, determining the uniformity of the asphalt sample based on the physical state parameters at different positions, ensuring that uniformity samples can be used for detection, and further improving the reliability of subsequent detection data.

[0017] (3) The application divides the sample into multiple target asphalt samples, respectively places them in constant temperature containers, records the heat conduction temperature of each target asphalt sample at different monitoring points in the constant temperature water bath in real time, determines whether the sample reaches the heat balance state by combining the heat balance state quantitative judgment standard, thereby accurately controlling the water bath temperature, ensuring that the sample reaches the heat balance 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) The application can accurately obtain penetration data at different temperature gradients, comprehensively and accurately evaluate the physical properties of polymer modified asphalt, and provide reliable basis for engineering quality control by detecting the average penetration of the target asphalt sample under different temperature gradients, and performing penetration index analysis according to the correlation between temperature and penetration, and evaluating the physical properties of polymer modified asphalt based on the penetration index. BRIEF DESCRIPTION OF DRAWINGS

[0019] In order to more clearly illustrate the technical solutions of the embodiments of the application, the following will briefly introduce the drawings needed to be used in the embodiment description. Obviously, the drawings in the following description are only some embodiments of the application, and other drawings can be obtained by those skilled in the art without creative labor.

[0020] Figure 1 The schematic diagram of the method steps of the application.

[0021] Figure 2 The schematic diagram of the process steps for determining the uniformity of the asphalt sample in the application.

[0022] Figure 3 The schematic diagram of the determination step of whether the water bath temperature is at a constant temperature in the application. DETAILED DESCRIPTION

[0023] Various exemplary embodiments of the application will now be described in detail with reference to the accompanying drawings. Note 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 application. At the same time, it should be understood that, in order to facilitate description, the sizes of the various parts shown in the drawings are not drawn in accordance with the actual proportional relationship.

[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 degree set value for the set time, a high-resolution industrial camera is used to take multiple-angle images of the sample to be treated in the vacuum degassing tank, to obtain time sequence state images of the sample to be treated, and if no bubbles appear on the surface in multiple continuous images in the time sequence state images, the sample to be treated is transferred to the stirring device.

[0033] The stirring device is started to set the stirring parameters for uniform stirring of the sample to be treated, to obtain the treated asphalt sample.

[0034] In a specific embodiment, the time sequence state images of the sample to be treated are subjected to bubble identification using a gray scale threshold method. The asphalt is dark, a depth corresponding gray scale threshold is set, for example, the gray scale threshold is 180, the bubble is light, and the area with a gray scale value greater than the set depth corresponding gray scale threshold is determined as a bubble.

[0035] If no bubbles are identified on the surface of the multiple-angle images corresponding to 3 continuous images in the time sequence state images, it is determined that the degassing is qualified, the sample to be treated is transferred to the stirring device, and if bubbles are identified on the surface of the image corresponding to any continuous image at a certain angle, the set time is extended and re-identified until the degassing is qualified, to avoid false degassing leading to an increase in penetration dispersion.

[0036] The present application uses a special sampling device to obtain multiple asphalt samples at different regions of the polymer modified asphalt storage container, and uses the pretreatment means of vacuum degassing, multi-angle image bubble monitoring and uniform stirring on the collected asphalt samples, to solve the problem of non-uniformity of the sample caused by the single sampling region and the lack of pretreatment in the prior art, to improve the representativeness and uniformity of the sample, and to lay an accurate foundation for reflecting the real performance of the asphalt.

[0037] S2, detecting the physical state parameters of the treated asphalt sample at different positions, wherein the physical state parameters include viscosity and density, and determining the uniformity of the asphalt sample based on the physical state parameters at different positions.

[0038] As shown in Figure 2 The process of determining the uniformity of the asphalt sample is as follows: a rotary viscometer is used to adjust the insertion depth to collect the viscosity of the treated asphalt sample at different positions, and a densimeter is used to collect the density of the treated asphalt sample at different positions. The different positions in the asphalt sample can be randomly determined for the whole asphalt sample to ensure that the collected parameters can represent the real state of the whole sample, to avoid misjudgment by taking points instead of surfaces, and to provide spatial representation guarantee for the subsequent detection of sample uniformity.

[0039] The viscosity and density of the asphalt sample at different positions are compared with each other, to obtain the maximum viscosity difference and the maximum density difference between different positions and other positions.

[0040] If the maximum viscosity difference and the maximum density difference between all positions and other positions are within the preset viscosity allowable range and the preset density allowable range respectively, it is determined that the asphalt sample uniformity is qualified, if the maximum viscosity difference between a position and other positions exceeds the preset viscosity allowable range or the maximum density difference exceeds the preset density allowable range, it is determined that the asphalt sample uniformity is unqualified, and the asphalt sample needs to be pretreated again.

[0041] In a specific embodiment, the preset viscosity allowable range is obtained by pre-experiment verification result, for example, the preset viscosity allowable range is If the preset viscosity allowable range is exceeded, it will cause the dispersion of subsequent penetration detection to exceed the upper limit of the industry allowable penetration dispersion error, and the asphalt performance cannot be accurately reflected.

[0042] The preset density allowable range is set with reference to the asphalt industry standard, and the density difference mainly reflects the uniformity of the polymer component, and if the preset density allowable range is exceeded, it will directly affect the anti-rutting and anti-cracking performance of the asphalt.

[0043] The present application solves the problem of severe detection data fluctuation by detecting the physical state parameters of the treated asphalt sample at different positions and determining the asphalt sample uniformity based on the physical state parameters at different positions, ensuring that uniformity samples can be used for detection, and further improving the reliability of subsequent detection data.

[0044] S3, divide the asphalt sample with qualified uniformity into multiple target asphalt samples and place them in constant temperature containers respectively, and adjust different water bath temperatures, determine whether the water bath temperature is at constant temperature based on the real-time monitored water bath temperature change.

[0045] As shown in Figure 3 The way to determine whether the water bath temperature is at constant temperature is to classify the multiple target asphalt samples according to the set temperature gradient number, put the constant temperature containers corresponding to each target asphalt sample in the same temperature gradient into independent water bath tanks, and adjust the water bath temperature in the independent water bath tank to the corresponding temperature gradient. Wherein each temperature gradient corresponds to an independent water bath tank, realizing complete isolation between gradients, ensuring that the temperature of each gradient is only adjusted by its own temperature control system, and at the same time, the uniform speed adjustment of the water bath temperature can effectively avoid the local overheating of the water in the tank caused by too fast speed, forming temporary temperature stratification.

[0046] The temperature sensor arranged at different depth positions in the independent water bath tank collects the water bath temperature at the corresponding depth position, and the water bath temperature at each depth position is analyzed with the temperature gradient of the corresponding independent water bath tank to obtain the temperature fluctuation degree of each independent water bath tank. Wherein the temperature fluctuation degree can be obtained according to the standard deviation of the water bath temperature at each depth position and the temperature gradient of the corresponding independent water bath tank.

[0047] If the temperature fluctuation degree of the independent water bath is less than the preset temperature fluctuation degree, the water bath temperature of the independent water bath is constant, otherwise, the water bath temperature difference is obtained by comparing the water bath temperature of each depth position with the corresponding temperature gradient, the depth position with the water bath temperature difference greater than the preset water bath temperature error value is screened, and the power of the heating element corresponding to the depth position is adjusted until the water bath temperature is constant. Wherein, the inner wall of the independent water bath corresponding to each depth position is provided with independent heating elements in a triangular distribution, so as to provide a uniform heating environment for the sample and improve the accuracy of subsequent sample heat balance judgment.

[0048] In a specific embodiment, the temperature gradient setting mode is combined with the actual engineering application temperature range of the polymer modified asphalt, such as the road asphalt which needs to withstand , the core temperature interval of penetration detection is , the set temperature gradient is interval, and the gradient combination is: 10℃, 15℃, 20℃, 25℃, 30℃, 35℃, 40℃.

[0049] S4, record the heat conduction temperature of each target asphalt sample at different monitoring points in the constant temperature water bath in real time, and judge whether the sample reaches the heat balance state according to the heat balance state quantitative judgment standard.

[0050] It should be noted that the content of judging whether the sample reaches the heat balance state is as follows: comparing the heat conduction temperature of each target asphalt sample at different monitoring points in the constant temperature water bath with the heat balance state quantitative judgment standard, if a target asphalt sample meets the heat balance state quantitative judgment standard at the same time, the target asphalt sample reaches the heat balance state.

[0051] The heat balance state quantitative judgment standard includes: the absolute value of the temperature difference between the asphalt sample at each monitoring point in the constant temperature water bath and the corresponding constant temperature water bath temperature is less than the preset first temperature deviation threshold. Thus, the sample and the water bath temperature are ensured to have no deviation, the penetration error is lower than the industry allowed error, and the temperature consistency guarantee is provided for obtaining real penetration data.

[0052] 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 heat balance temperature difference threshold. Thus, the temperature of the sample is uniformly forced, the temperature environment is consistent during subsequent penetration detection, and the data stability guarantee is provided for subsequent penetration index evaluation performance.

[0053] The difference between the heat conduction temperature of the asphalt sample at each monitoring point in the constant temperature water bath and the heat conduction temperature at the corresponding previous time is less than the preset second temperature deviation threshold. Thus, the sample temperature is long-term stable, the short-term balance trap is avoided, the temperature is consistent during the whole process of penetration detection, and the consistency guarantee in time dimension is provided for comparing the penetration data under different temperature gradients.

[0054] The present application will be divided into several target asphalt samples in constant temperature container, real-time recording each target asphalt sample in constant temperature water bath at different monitoring points of heat conduction temperature, combined with the quantitative judgment standard of heat balance state to judge whether the sample reaches the heat balance state, so as to accurately control the water bath temperature, ensure that the sample reaches the heat balance state, reduce the temperature factor on the penetration detection error, improve the accuracy of the detection data result, make the detection result truly correspond to the physical property under the target temperature.

[0055] S5, after the sample reaches the heat balance, the penetration of each target asphalt sample is detected to obtain the average penetration of the target asphalt sample under different temperature gradients.

[0056] It should be noted that before the penetration of each target asphalt sample is detected, the surface flatness of each target asphalt sample needs to be detected, and if the surface flatness of a target asphalt sample is lower than the set flatness threshold, the surface of the target asphalt sample needs to be scraped flat.

[0057] The initial scraping speed of the film 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 scraping process of the film scraping device, and the scraping effect of the sample surface is identified according to the surface image of the target asphalt sample.

[0058] The initial scraping speed of the film scraping device is adjusted according to the scraping effect of the sample surface.

[0059] The present application adopts surface flatness detection and processing to eliminate the surface morphology interference of the asphalt sample, effectively reduce the penetration deviation caused by the surface morphology interference, and ensure the surface consistency of the asphalt sample.

[0060] In a specific embodiment, a laser surface flatness instrument is used to detect the surface of the target asphalt sample, and the flatness of each point is collected by uniformly distributing multiple points, and the average value is taken as the surface flatness of the target asphalt sample.

[0061] The viscosity of the asphalt sample directly affects the fluidity and surface formability during scraping, when the viscosity is high, the asphalt fluidity is poor, and fast scraping is easy to cause scratches on the surface; when the viscosity is low, the asphalt is easy to flow, and slow scraping is easy to cause surface depression. The sample surface scraping effect under different scraping speeds in different asphalt sample viscosity intervals can be established by pre-experiment, the lowest scraping speed with qualified sample surface scraping effect is screened, the lowest scraping speed corresponding to each different asphalt sample viscosity interval is counted to establish a viscosity-scraping speed correlation model, and the viscosity of the target asphalt sample is substituted into the viscosity-scraping speed correlation model to determine the initial scraping speed of the film scraping device.

[0062] The sample surface scraping effect recognition can process the image by gray difference analysis method to obtain the standard gray value of the asphalt surface flat area, if the bright area with a gray value greater than the standard gray value or the dark area with a gray value less than the standard gray value appears in the image, it is determined that the sample surface scraping effect is unqualified. The bright area is a convex area, and its characteristic is strong light reflection; the dark area is a concave area, and its characteristic is weak light reflection.

[0063] When the convex area is identified, it is determined that the initial scraping speed is lower than the sample viscosity requirement, the initial scraping speed is fine-tuned upwards, and the fine-tuning amplitude is a unit percentage of the initial scraping speed each time, and the fine-tuning is continuously monitored until the convex area disappears.

[0064] When the concave area is identified, it is determined that the initial scraping speed is higher than the sample viscosity requirement, the initial scraping speed is fine-tuned downwards, and the fine-tuning is continuously monitored until the concave area disappears.

[0065] If there is no bright area or dark area on the sample surface, the initial scraping speed is maintained until the whole film scraping process is completed.

[0066] The average penetration of the target asphalt sample under different temperature gradients is specifically as follows: an automatic penetration instrument is used to vertically penetrate different detection points of each target asphalt sample under a preset constant load, the standard needle penetration depth of the automatic penetration instrument is recorded after a preset monitoring time, the penetration depths of different detection points are averaged to obtain the average penetration value, which is used as the penetration of each target asphalt sample. By covering the whole area of the sample with multiple points, accidental deviation of a single point is avoided, and the representativeness of the penetration of a single sample is ensured.

[0067] The penetrations of all target asphalt samples corresponding to different temperature gradients are counted, and the average penetration of the target asphalt sample under different temperature gradients is obtained by mean value analysis.

[0068] The present application reduces accidental errors of single detection by repeated verification of the same sample, makes the average penetration data under different temperature gradients continuous and stable, provides a high-quality data basis for subsequent analysis of the penetration index, and if the average penetration data is discrete, the penetration index calculation will be deviated, resulting in distortion of the asphalt performance evaluation.

[0069] S6, performing penetration index analysis according to the correlation between temperature and penetration, and evaluating the physical properties of the polymer modified asphalt based on the penetration index.

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

[0071] The correlation model is constructed based on the Van der Poel equation, and the linear regression analysis of the correlation data set of temperature and penetration logarithm is performed by using the least square method to calculate the slope and intercept of the regression equation.

[0072] The penetration index evaluation model is constructed based on the slope and intercept of the regression equation, the penetration logarithm in the correlation data set is substituted into the penetration index evaluation model, and the penetration index under each temperature gradient is output.

[0073] In a specific embodiment, the logarithmic form can combine the calculation habit of the penetration index in the prior art, and the common logarithm with the base of 10 is used, because the correlation of the penetration index calculated by the common logarithm and the temperature sensitivity of asphalt is more in line with the engineering practice.

[0074] In the penetration index evaluation model of the embodiment, the corresponding definition formula is: .

[0075] Wherein, is the penetration index, is the penetration logarithm, is the intercept of the regression equation, is the slope of the regression equation, reflecting the temperature sensitivity, the greater the slope, the more sensitive the asphalt to temperature, is a set constant, which can be obtained in combination with the standardized definition of key performance parameters of asphalt in the industry, for example, in the embodiment , is obtained by reverse derivation according to the Van der Poel equation, wherein the Van der Poel equation is: , is the temperature gradient.

[0076] The penetration index evaluation model based on the penetration index is used to evaluate the physical performance of the polymer modified asphalt, specifically including: comparing the penetration indexes under each temperature gradient with each other to screen the maximum difference value of the penetration index, if the maximum difference value of the penetration index is greater than a set penetration index allowable error value, the maximum penetration index and the minimum penetration index under each temperature gradient are removed, the remaining penetration indexes are compared with each other, until the maximum difference value of the penetration index is less than the set penetration index allowable error value, and then the average value of the penetration indexes under each temperature gradient is taken as the penetration index of the polymer modified asphalt. The present application eliminates the interference of data fluctuation on the evaluation result by removing the maximum penetration index and the minimum penetration index under each temperature gradient, and avoids misjudgment caused by data deviation of a certain temperature gradient.

[0077] The penetration index of the polymer modified asphalt is compared with the standard penetration index range of the polymer modified asphalt in the corresponding temperature gradient range, if the penetration index of the polymer modified asphalt is in the standard penetration index range, the physical performance of the polymer modified asphalt meets the requirements.

[0078] The present application can accurately obtain the penetration data under different temperature gradients, comprehensively and accurately evaluate the physical properties of the polymer modified asphalt, and provide a reliable basis for engineering quality control by detecting the average penetration of the target asphalt sample under different temperature gradients, performing penetration index analysis according to the correlation between temperature and penetration, and evaluating the physical properties of the polymer modified asphalt based on the penetration index.

[0079] The above formulas are dimensionless values, and the formulas are obtained by collecting a large amount of data to simulate the most real situation, and the preset parameters in the formulas are set by a person skilled in the art according to the actual situation.

[0080] The above embodiments can be realized wholly or partially by software, hardware, firmware or any combination thereof. When realized by software, the above embodiments can be realized wholly or partially in the form of a computer program product.

[0081] Those skilled in the art can realize that the modules and algorithm steps of the examples described in combination with the embodiments disclosed herein can be realized by electronic hardware or a combination of computer software and electronic hardware. Whether the functions are realized by hardware or software depends on the specific application and design constraints of the technical solutions. Those skilled in the art can use different methods to realize the described functions for each specific application, but such implementation should not be considered beyond the scope of the present application.

[0082] In addition, the functional modules in each embodiment of the present application can be integrated in one processing module, or each module can exist physically alone, or two or more modules can be integrated in one module.

[0083] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art can easily think of changes or replacements within the technical scope disclosed in the present application, which should be covered within the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the protection scope of the claims.

[0084] Finally, the above is only a preferred embodiment of the present application, and is not used to limit the present application. Any modification, equivalent replacement, improvement, etc. made within the spirit and principles of the present application should be included in the protection scope of the present application.

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. 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. 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 1, characterized in that: 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.

7. The method for testing and analyzing the physical properties of polymer-modified asphalt according to claim 1, characterized in that: 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 smoothing effect.

8. 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.

9. The method for testing and analyzing the physical properties of polymer-modified asphalt according to claim 8, 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.

10. The method for testing and analyzing the physical properties of polymer-modified asphalt according to claim 9, 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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