A rapid detection and evaluation method for self-healing microcapsules of asphalt pavement

Abstract

The application discloses a kind of asphalt pavement self-healing microcapsule rapid detection and evaluation method, it is related to asphalt repair material technical field, the method includes: the asphalt sample is placed in heating device, is elevated to certain temperature, by mechanical device to sample is applied repeated pressure load, simulate the heavy pressure of wheel on pavement, by optical imaging system, the expansion condition of crack is monitored in real time;After a period of thermal excitation and stress excitation, stop heating and press, turn to use precision sensor and carry out crack closure monitoring;Establish self-healing effect comprehensive evaluation mechanism, the monitoring data will the influence result of thermal excitation and stress excitation is integrated, and comprehensive self-healing effect evaluation report is formed.The application is by the way of thermal excitation and stress excitation, using optical imaging system and precision sensor realizes the real-time monitoring of crack state, can quickly obtain crack expansion, closure condition and other data, improve the accuracy and timeliness of evaluation.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of asphalt repair materials, and in particular to a rapid detection and evaluation method for asphalt pavement self-healing microcapsules. BACKGROUND

[0002] In modern transportation infrastructure, the durability and self-healing ability of asphalt pavement are crucial for ensuring road safety and extending service life. With the acceleration of urbanization, traffic flow has increased dramatically, and vehicle load has increased, resulting in frequent environmental factors such as high temperature and heavy pressure affecting asphalt pavement, leading to the formation of cracks. These cracks not only affect the flatness of the road and driving safety, but also can cause more serious structural damage, and even lead to traffic accidents.

[0003] Current repair techniques mainly rely on traditional methods such as filling cracks or repaving the road, which are usually time-consuming and costly, and difficult to address the need for automatic repair of small cracks. Therefore, it is particularly urgent to develop an asphalt material that can automatically repair cracks after they occur.

[0004] However, the detection of self-healing effect on asphalt pavement in the prior art often relies on long-term laboratory tests, which cannot meet the demand for rapid feedback in practical applications. This results in the inability to assess the repair effect of self-healing materials in a timely manner after cracks occur; and the current evaluation methods for self-healing effect are mostly based on experience, lacking uniform standards and systematic processes, resulting in poor reliability and consistency of the detection results. SUMMARY

[0005] The purpose of this section is to summarize some aspects of the embodiments of the present application and briefly introduce some preferred embodiments. Some simplifications or omissions may be made in this section and the abstract and title of the specification to avoid obscuring the purpose of this section, abstract and title, and such simplifications or omissions cannot be used to limit the scope of the present application.

[0006] In view of the above problems of the prior art, the present application is proposed.

[0007] To solve the above technical problems, the present application provides the following technical solutions:

[0008] A rapid detection and evaluation method for asphalt pavement self-healing microcapsules, characterized in that it comprises:

[0009] Step one: place the asphalt sample in a heating device, raise it to a certain temperature, simulate the hot environment of the asphalt pavement in summer, when the temperature rises to the target value, then apply repeated pressure load to the sample through mechanical device, simulate the heavy pressure of the wheels on the pavement; with the change of temperature and pressure, the microcapsule in the asphalt will break at the crack and release the repair material;

[0010] Step two: through the optical imaging system, the crack propagation is monitored in real time while the heat and stress excitation are applied;

[0011] Step three: after a period of heat and stress excitation, stop heating and pressure, and turn to use precision sensor for crack closure monitoring;

[0012] Step four: establish a comprehensive evaluation mechanism of self-healing effect, integrate the monitoring data of heat and stress excitation, and form a comprehensive self-healing effect evaluation report.

[0013] As a preferred scheme of the rapid detection and evaluation method of the asphalt pavement self-healing microcapsule, the crack closure monitoring comprises width change monitoring and temperature change monitoring;

[0014] The width change monitoring is to detect the width change of crack closure through the precision sensor, evaluate the repair effect of self-healing material, then re-apply a small stress load, and observe whether the crack is reopened;

[0015] The temperature change detection is to analyze the heat distribution of the crack area by using the thermal imager, and further judge the repair effect.

[0016] As a preferred scheme of the rapid detection and evaluation method of the asphalt pavement self-healing microcapsule, the comprehensive evaluation mechanism of self-healing effect comprises:

[0017] S401: in the evaluation period, the width change, temperature and applied pressure of the crack are monitored in real time;

[0018] S402: establish a crack closure rate function C(t), and calculate the crack closure rate function C(t) according to the crack width change;

[0019] S403: establish a heat excitation effect function H(T(t)), and calculate the heat excitation effect function H(T(t)) using temperature data;

[0020] S404: establish a stress excitation effect function S(P(t)), and calculate the stress excitation effect function using the applied pressure;

[0021] S405: integrate the calculation results of the above functions, use integration to consider various factors in time, and provide a dynamic, self-healing effect comprehensive evaluation value E.

[0022] As a preferred scheme of the rapid detection and evaluation method of the asphalt pavement self-healing microcapsule, in the formula of the crack closure rate function C(t):

[0023]

[0024] Wherein, W0 is the initial crack width, W t is the crack width at time t;

[0025] The expression formula of the thermal excitation effect function H(T(t)) is:

[0026]

[0027] Wherein, T opt is the optimal repair temperature, and a is an adjustment coefficient for adjusting the thermal excitation effect function, which controls the influence degree of temperature on the performance of the self-healing material;

[0028] The expression formula of the stress excitation effect function S(P(t)) is:

[0029]

[0030] Wherein, P i (t) is a component of different applied pressures, and β is an adjustment coefficient for adjusting the stress excitation effect function, which controls the influence degree of the applied pressure on the performance of the self-healing material.

[0031] As a preferred scheme of the rapid detection and evaluation method of the asphalt pavement self-healing microcapsule, in the formula of the comprehensive evaluation value E of the self-healing effect:

[0032]

[0033] Wherein, t0, t f respectively represent the starting and ending time of the evaluation time, E∈[0,1], 0 represents the worst self-healing effect, and the crack is not closed, and 1 represents the best self-healing effect, and the crack is completely closed.

[0034] As a preferred scheme of the rapid detection and evaluation method of the asphalt pavement self-healing microcapsule, wherein the credibility C

[0035]

[0036] Wherein, Emax is the maximum self-healing effect value that can be achieved in the evaluation, F is a factor affecting the reliability;

[0037] If the reliability C of the self-healing effect evaluation model is greater than the first threshold C1, it is determined that the self-healing effect evaluation result is reliable, and corresponding construction decisions can be made;

[0038] If the reliability C is less than the second threshold C2, it is determined that the evaluation result is unreliable, and the self-healing effect evaluation needs to be performed again;

[0039] If the reliability C is greater than or equal to the second threshold C2 and less than or equal to the first threshold C1, it is determined that the reliability of the evaluation result is general, and careful decisions need to be made.

[0040] As a preferred scheme of the rapid detection and evaluation method of the asphalt pavement self-healing microcapsule, if the reliability C is greater than the first threshold C1 for N consecutive times, it is determined that the accuracy of the self-healing effect evaluation result is high, and the weight of the related prediction result can be considered to be increased;

[0041] If the reliability C is less than the second threshold C2 for N consecutive times, it is determined that the accuracy of the self-healing effect evaluation result is low, and the adjustment weight of the confidence index needs to be improved.

[0042] An evaluation system of the rapid detection and evaluation method of the asphalt pavement self-healing microcapsule is applied, and the system comprises:

[0043] A heating and stress excitation module simulates a high-temperature environment in summer and a heavy pressure of a road wheel, provides thermal excitation and stress excitation, and a real-time monitoring and imaging module is used for real-time capture of crack expansion and analysis of crack changes through an optical imaging system;

[0044] A data analysis module analyzes and processes collected data, calculates crack closure rate, thermal excitation effect, and stress excitation effect, and a self-healing effect evaluation module is used for integrating data analysis results to generate a comprehensive self-healing effect evaluation value;

[0045] A report generation module automatically generates a detailed self-healing effect evaluation report according to analysis results.

[0046] A computer device comprises a memory and a processor, and the memory stores a computer program, characterized in that the processor implements the steps of the rapid detection and evaluation method of the asphalt pavement self-healing microcapsule when executing the computer program.

[0047] A computer-readable storage medium stores a computer program, characterized in that the computer program is executed by a processor to implement the steps of the rapid detection and evaluation method of the asphalt pavement self-healing microcapsule.

[0048] Advantages of the present application:

[0049] 1、The method combines thermal excitation and stress excitation, uses an optical imaging system and a precision sensor to realize real-time monitoring of the crack state, can quickly obtain crack expansion, closure and other data, and improves the accuracy and timeliness of evaluation.

[0050] 2、The method performs performance evaluation under high temperature and heavy load conditions, ensures the effectiveness of self-healing materials in various environments, improves the overall safety and durability of the road, establishes a comprehensive evaluation mechanism for self-healing effects, promotes the intelligentization and systematization of material research and development, lays a foundation for future intelligent material applications, and promotes the innovation and progress of related technologies. BRIEF DESCRIPTION OF DRAWINGS

[0051] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings needed in the embodiment description will be briefly introduced as follows. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative labor. Among them:

[0052] Figure 1 The overall structure diagram of a rapid detection and evaluation method of asphalt pavement self-healing microcapsules proposed by the present application;

[0053] Figure 2 The simulation experiment data graph of a rapid detection and evaluation method of asphalt pavement self-healing microcapsules proposed by the present application. DETAILED DESCRIPTION

[0054] In order to make the above-mentioned purposes, features and advantages of the present application more apparent and easy to understand, the specific embodiments of the present application will be described in detail below with reference to the drawings of the specification.

[0055] In the following description, many specific details are set forth in order to provide a thorough understanding of the present application, but the present application can also be implemented in other ways different from those described herein, and those skilled in the art can make similar generalizations without departing from the connotation of the present application, therefore the present application is not limited to the specific embodiments disclosed below.

[0056] Secondly, the "one embodiment" or "embodiment" referred to herein means that the specific features, structures or characteristics can be included in at least one implementation of the present application. In this specification, "in one embodiment" does not mean the same embodiment, nor is it an independent or alternative embodiment that excludes other embodiments.

[0057] Reference Figure 1For an embodiment of the present application, a rapid detection and evaluation method of asphalt pavement self-healing microcapsules is provided, which comprises the following steps:

[0058] Step one: place the asphalt sample in a heating device, raise it to a certain temperature to simulate the heat environment of the asphalt pavement in summer, and when the temperature rises to the target value, apply repeated pressure load to the sample through a mechanical device to simulate the heavy pressure of the wheels on the pavement; with the changes of temperature and pressure, the microcapsules in the asphalt will break at the crack and release the repair material; to simulate the crack formation and self-healing process of the actual asphalt pavement under high temperature and heavy pressure, heat excitation (heating) and stress excitation (pressure) are used to accelerate the generation and expansion of cracks.

[0059] Step two: use an optical imaging system to monitor the expansion of the cracks in real time while applying heat excitation and stress excitation; through this real-time monitoring, the different effects of heat excitation and stress excitation on the crack expansion speed and the specific time of microcapsule repair material release can be observed, so as to verify whether the self-healing process is effectively triggered.

[0060] Step three: after a period of heat excitation and stress excitation, stop heating and pressure, and switch to precise sensor for crack closure monitoring;

[0061] Specifically, crack closure monitoring includes: width change monitoring, and temperature change monitoring;

[0062] Width change monitoring, i.e. through precise sensor to detect the width change of crack closure, to evaluate the repair effect of self-healing material; then, reapply a small stress load, and observe whether the crack is reopened;

[0063] Temperature change detection, i.e. using a thermal imager to analyze the heat distribution of the crack area to further judge the repair effect.

[0064] Step four: establish a comprehensive evaluation mechanism for self-healing effect, integrate the monitoring data of heat excitation and stress excitation, and form a comprehensive evaluation report of self-healing effect.

[0065] Specifically, the comprehensive evaluation mechanism for self-healing effect comprises:

[0066] S401: monitor the width change of the crack, the temperature and the applied pressure in real time within the evaluation period;

[0067] S402: establish a crack closure rate function C(t), and calculate the crack closure rate function C(t) according to the crack width change;

[0068] The expression formula of the crack closure rate function C(t) is:

[0069]

[0070] wherein W0 is the initial crack width, W t is the crack width at time t.

[0071] S403: Establishing a thermal excitation effect function H(T(t)), using temperature data to calculate the thermal excitation effect function H(T(t));

[0072]

[0073] wherein T opt is the optimal repair temperature, and a is an adjustment coefficient for adjusting the thermal excitation effect function, which functions to control the degree of influence of temperature on the performance of the self-healing material.

[0074] S404: Establishing a stress excitation effect function S(P(t)), using applied pressure to calculate the stress excitation effect function;

[0075] The expression formula of the stress excitation effect function S(P(t)) is:

[0076]

[0077] wherein P i (t) is a component of different applied pressures, and β is an adjustment coefficient for adjusting the stress excitation effect function, which functions to control the degree of influence of applied pressure on the performance of the self-healing material.

[0078] S405: Integrating the calculation results of the above functions, using integration to consider various factors over time, and providing a dynamic, comprehensive evaluation value E of the self-healing effect.

[0079] The calculation formula of the comprehensive evaluation value E of the self-healing effect is:

[0080]

[0081] wherein t0, t f respectively represent the start and end times of the evaluation time, E ∈ [0, 1], 0 represents a very poor self-healing effect, and the crack is not closed, and 1 represents an excellent self-healing effect, and the crack is completely closed.

[0082] In addition, according to the self-healing effect, a credibility C

[0083]

[0084] wherein E max is the maximum self-healing effect value that can be achieved in the evaluation, and F is a factor affecting the credibility, such as the number of samples.

[0085] If the credibility C of the self-healing effect evaluation model is greater than the first threshold C1, it is determined that the self-healing effect evaluation result is credible, and corresponding construction decision can be made; if the credibility C is less than the second threshold C2, it is determined that the evaluation result is not credible, and the self-healing effect evaluation needs to be performed again; if the credibility C is greater than or equal to the second threshold C2 and less than or equal to the first threshold C1, it is determined that the credibility of the evaluation result is general, and cautious decision needs to be made.

[0086] If the credibility C is greater than the first threshold C1 for N consecutive times, it is determined that the accuracy of the self-healing effect evaluation result is high, and the weight of the related prediction result can be considered to be increased; if the credibility C is less than the second threshold C2 for N consecutive times, it is determined that the accuracy of the self-healing effect evaluation result is low, and the adjustment weight of the confidence index needs to be improved.

[0087] Referring to Figure 2 The formula and effectiveness of the self-healing effect comprehensive evaluation are verified by simulation data. It is assumed that a certain asphalt pavement material contains microcapsule repair agents, and the evaluation is performed under different temperature and stress conditions;

[0088] Crack width change: This graph shows the change in crack width of the asphalt pavement over time. As time increases, the crack width decreases significantly from 1.0 mm to 0.0 mm. This indicates that the self-healing material effectively repairs the cracks under high temperature and pressure conditions, demonstrating its good repair ability;

[0089] Crack closure rate change: This graph depicts the change in crack closure rate over time. Starting from 0%, it reaches 100% closure rate at the 4th time point. This shows that the self-healing material can completely close the cracks under certain conditions, verifying its effectiveness in repair performance;

[0090] Thermal excitation effect change: This graph shows the effect of thermal excitation on self-healing. As time progresses, the thermal excitation effect gradually increases and reaches a peak at a certain time point, followed by slight fluctuations. This indicates that thermal excitation plays a key role in promoting microcapsule rupture and release of repair materials;

[0091] Stress excitation effect change: This graph shows the effect of stress excitation on the self-healing material. The stress excitation effect gradually increases over time and eventually approaches 1.0. This indicates that under stress, the self-healing material exhibits good resistance and repair ability, effectively resisting external pressure.

[0092] The evaluation system for the rapid detection and evaluation method of the self-healing microcapsule applied to the above asphalt pavement is characterized in that: the system comprises:

[0093] A heating and stress excitation module simulates a high-temperature summer environment and a road wheel heavy load to provide thermal excitation and stress excitation; a real-time monitoring and imaging module is used to capture the crack expansion in real time and analyze the crack changes through an optical imaging system;

[0094] A data analysis module analyzes and processes the collected data, calculates the crack closure rate, thermal excitation effect, and stress excitation effect; a self-healing effect evaluation module is used to integrate the data analysis results to generate a comprehensive self-healing effect evaluation value; and a report generation module automatically generates a detailed self-healing effect evaluation report according to the analysis results.

[0095] The present application combines thermal excitation and stress excitation, uses an optical imaging system and a precision sensor to realize real-time monitoring of the crack state, can quickly obtain crack expansion, closure, and other data, improves the accuracy and timeliness of the evaluation, and performs performance evaluation under high temperature and heavy load conditions, ensures the effectiveness of the self-healing material under various environments, improves the overall safety and durability of the road, establishes a comprehensive self-healing effect evaluation mechanism, promotes the intelligentization and systematization of material research and development, lays a foundation for future intelligent material application, and promotes the innovation and progress of related technologies.

[0096] The embodiment also provides a computer device suitable for the rapid detection and evaluation method of the asphalt pavement self-healing microcapsule, which comprises a memory and a processor; the memory is used to store computer executable instructions, and the processor is used to execute the computer executable instructions to realize the rapid detection and evaluation method of the asphalt pavement self-healing microcapsule as described in the above embodiment.

[0097] The computer device can be a terminal, and the computer device comprises a processor, a memory, a communication interface, a display screen and an input device connected through a system bus. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device comprises a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The communication interface of the computer device is used to communicate with external terminals in a wired or wireless manner. The wireless manner can be achieved through WIFI, an operator network, NFC (near field communication) or other technologies. The display screen of the computer device can be a liquid crystal display screen or an electronic ink display screen. The input device of the computer device can be a touch layer overlaid on the display screen, or a key, trackball or touchpad arranged on the shell of the computer device. In addition, the input device can be an external keyboard, touchpad or mouse, etc.

[0098] The embodiment also provides a storage medium, which stores a computer program, and the computer program is executed by a processor to implement the method for rapidly detecting and evaluating the asphalt pavement self-healing microcapsules according to the above embodiment. The storage medium can be implemented by any type of volatile or nonvolatile storage devices or a combination thereof, such as a static random access memory (SRAM), an electrically erasable programmable read-only memory (EEPROM), an erasable programmable read-only memory (EPROM), a programmable read-only memory (PROM), a read-only memory (ROM), a magnetic storage, a flash memory, a magnetic disk or an optical disk.

[0099] It should be noted that the above embodiment is only used to illustrate the technical solutions of the present application but not limit the present application. Although the present application is described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that the technical solutions of the present application can be modified or replaced equivalently without departing from the spirit and scope of the technical solutions of the present application, and all of them should be covered in the scope of the claims of the present application.

Claims

1. A rapid detection and evaluation method of asphalt pavement self-healing microcapsules, characterized in that, Comprise: Step one: put the asphalt sample in the heating device, raise to a certain temperature, simulate the hot environment of asphalt pavement in summer, when the temperature rises to the target value, apply repeated pressure load to the sample through mechanical device, simulate the heavy pressure of wheels on the pavement; with the change of temperature and pressure, the microcapsule in asphalt will break at the crack and release the repair material; Step two: through the optical imaging system, real-time monitoring of crack propagation while applying heat and stress excitation; Step three: after a period of heat and stress excitation, stop heating and pressure, turn to use precision sensor for crack closure monitoring; Step four: establish a comprehensive evaluation mechanism of self-healing effect, integrate the monitoring data of heat and stress excitation, form a comprehensive self-healing effect evaluation report; The self-healing effect comprehensive evaluation mechanism specifically comprises: S401: real-time monitoring of crack width change, temperature and applied pressure during the evaluation period; S402: Establish a fracture closure rate function and calculate the fracture closure rate function according to the fracture width change ; S403: Establishing a thermal excitation effect function , using temperature data to calculate the thermal excitation effect function ; S404: Establishing a stress excitation effect function calculating the stress excitation effect function by using the applied pressure; S405: integrate the calculation results of the above functions, use integral to consider the factors in time, provide a dynamic, comprehensive evaluation value E of self-healing effect; The crack closure rate function The expression formula is: ； wherein, is the initial crack width, is the crack width at time t; The thermal excitation effect function The expression formula is: ； wherein, T is the optimum repair temperature, T is the optimum repair temperature, T is the optimum repair temperature, T is the optimum repair temperature, T is the optimum repair temperature, T is the optimum repair temperature, T is the optimum repair temperature, T is the optimum repair temperature, T is the optimum repair temperature, T is the optimum repair temperature, T is the optimum repair temperature, T is the optimum repair temperature, T is the The stress excitation effect function The expression formula is: ； wherein, β is a coefficient for adjusting the stress-activation effect function, which functions to control the degree of influence of the applied pressure on the performance of the self-healing material. The calculation formula of the comprehensive evaluation value E of self-healing effect is: ； wherein , respectively represent the start and end time of the evaluation time, 0 indicates a very poor self-healing effect, the crack is not closed, and 1 indicates a very good self-healing effect, the crack is completely closed.

2. The method for rapid detection and evaluation of self-healing microcapsules for asphalt pavement according to claim 1, characterized in that: The crack closure monitoring includes: width change monitoring, and temperature change monitoring; Width change monitoring, that is, through the precise sensor to detect the width change of crack closure, evaluate the repair effect of self-healing material; then, reapply small stress load, observe whether the crack is reopened; Temperature change detection, that is, using thermal imager to analyze the heat distribution of crack area, further judge the repair effect.

3. The method for rapid detection and evaluation of asphalt pavement self-healing microcapsules according to claim 2, characterized in that: According to the self-healing effect, establish the credibility C; ； wherein, is the maximum self-healing effect value achievable in the evaluation, F is a factor influencing the credibility; If the credibility C of the self-healing effect evaluation model is greater than a first threshold value , it is determined that the self-healing effect evaluation result is credible, and a corresponding construction decision can be made; If the credibility C is less than a second threshold then the evaluation result is determined to be untrustworthy, and the self-healing effect evaluation needs to be performed again. If the credibility C is greater than or equal to a second threshold value and less than or equal to a first threshold value then it is determined that the credibility of the evaluation result is general, and a decision should be made with caution.

4. The method for rapid detection and evaluation of self-healing microcapsules for asphalt pavement according to claim 3, characterized in that: The credibility C is greater than a first threshold value for N consecutive times If the self-healing effect evaluation result is accurate, the weight of the related prediction result can be increased. If the credibility C is less than the second threshold value for N consecutive times Then it is determined that the accuracy of the self-healing effect evaluation result is low, and the adjustment weight of the confidence index needs to be improved.

5. The evaluation system for the rapid detection and evaluation method of asphalt pavement self-healing microcapsules according to claim 4, characterized in that: The system comprises: The heating and stress excitation module simulates the summer high temperature environment and the heavy pressure of wheels on the pavement, provides heat and stress excitation; real-time monitoring and imaging module is used for real-time capture of crack propagation, and the change of crack is analyzed through optical imaging system; Data analysis module, analysis and processing of collected data, calculation of crack closure rate, heat excitation effect, stress excitation effect; self-healing effect evaluation module is used for integrating data analysis results, generating comprehensive evaluation value of self-healing effect; Report generation module automatically generates detailed self-healing effect evaluation report according to the analysis results. 6.A computer device, comprising a memory and a processor, wherein the memory stores a computer program, and the computer device is characterized in that: The processor executes the computer program to realize the steps of the rapid detection and evaluation method of asphalt pavement self-healing microcapsule in any one of claims 1-4.

7. A computer readable storage medium having stored thereon a computer program, characterized in that: The computer program is executed by the processor to realize the steps of the rapid detection and evaluation method of asphalt pavement self-healing microcapsule in any one of claims 1-4.

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