WO2024045668A1 - Marshall compaction method and system for asphalt mixture, manufacturing method and system for asphalt mixture, device, and medium - Google Patents

Abstract

A Marshall compaction method and system for an asphalt mixture, a manufacturing method and system for an asphalt mixture, a device, and a medium. The compaction method comprises: obtaining dynamic response parameters of an asphalt mixture in a Marshall compaction process, the dynamic response parameters being used for representing the internal state of the asphalt mixture corresponding to the number of compactions; determining whether the change of the dynamic response parameters is stable; and if yes, determining the corresponding number of compactions when the change of the dynamic response parameters is stable to be a target number of compactions. According to the compaction method, the dynamic response parameters of the asphalt mixture are obtained, and the target number of compactions is determined when the change of the dynamic response parameters is stable, so that the number of compactions is automatically and intelligently determined; moreover, the change of the dynamic response parameters directly reflects the internal compaction state of the asphalt mixture, so that the accuracy of determining the number of compactions is improved, and the situation that coarse aggregate is crushed due to overpressure or the porosity does not meet the requirement due to underpressure is avoided.

Description

Marshall compaction of asphalt mixtures, production methods, systems, equipment and media

This application claims the priority of Chinese patent application 2022110427332 with a filing date of August 29, 2022. This application cites the full text of the above-mentioned Chinese patent application.

Technical field

The invention relates to the technical field of road engineering, and in particular to a kind of Marshall compaction of asphalt mixture, production method, system, equipment and medium.

Background technique

Marshall design method is widely used in asphalt mixture design. The molding method of the specimen is compaction molding. Although this molding method has certain limitations in simulating on-site compaction and correlation with road traffic volume, it is easy to implement, has strong applicability, and has low equipment prices. It is still one of the main methods for the current asphalt mixture mix design.

During the compaction and molding process of asphalt mixture, there is a critical state of the internal skeleton structure of the system. Before reaching the critical state, the compaction effect can effectively increase the density of the asphalt mixture, and the compaction effect is significant; after reaching the critical state, the roughness After compaction, the aggregates contact each other to form a stable skeleton structure and are interlocked with each other. The coarse and fine aggregates and the coated asphalt share the load and reach a stable state. Further compaction will significantly increase the risk of aggregate fragmentation and change the mixture. The original gradation adversely affects its road performance. Therefore, the current Marshall specimen forming method that uses a fixed number of compaction times lacks standards for determining the internal compaction state of the mixture. Combined with relevant practical experience, the Marshall specimen that uses 75 double-sided compactions often fails due to excessive compaction. As a result, the coarse aggregate is broken. On the one hand, the original gradation of the mixture is changed. On the other hand, the new broken surface is unable to coat the asphalt and forms gray material, thus affecting the validity of the performance test results based on the indoor formed Marshall test specimen. .

Contents of the invention

The technical problem to be solved by the present invention is to overcome the shortcomings in the prior art of using a fixed number of compaction specimens when designing asphalt mixture proportions, resulting in the crushing of coarse aggregates due to excessive compaction, and to provide a Marshall of asphalt mixtures. Compaction, production methods, systems, equipment and media.

The present invention solves the above technical problems through the following technical solutions:

The invention provides a Marshall compaction method for asphalt mixtures. The compaction method includes:

Obtain the dynamic response parameters of the asphalt mixture during the Marshall compaction process;

The dynamic response parameters are used to characterize the internal state of the asphalt mixture corresponding to the number of compactions;

Determine whether the degree of change of the dynamic response parameter is stable;

If so, the corresponding number of compactions when the change degree of the dynamic response parameter reaches stability is determined as the target number of compactions.

Preferably, the steps of obtaining the dynamic response parameters of the asphalt mixture during the Marshall compaction process include:

Sensors are embedded at preset positions inside the asphalt mixture to obtain dynamic response parameters of the asphalt mixture during the compaction process.

Preferably, the step of burying a sensor at a preset position inside the asphalt mixture to obtain the dynamic response parameters of the asphalt mixture during the compaction process includes:

A preset number of multi-index integrated intelligent sensors are evenly embedded on the central axis of the asphalt mixture;

The values of the same dynamic response parameter respectively obtained by the preset number of multi-index integrated intelligent sensors during the compaction process are averaged as the dynamic response parameter of the asphalt mixture during the compaction process.

Preferably, the step of determining whether the degree of change of the dynamic response parameter is stable includes:

Determine the dynamic response parameter change rate according to the dynamic response parameter;

The change rate of the dynamic response parameter is used to characterize the degree of change of the dynamic response parameter;

The dynamic response parameter is judged according to the change rate of the dynamic response parameter and the preset stability threshold. Whether the degree of change in the number is stable.

Preferably, the dynamic response parameters include contact stress, acceleration and rotation angle of internal particles of the asphalt mixture;

The change rate of the dynamic response parameter is determined according to the dynamic response parameter and the following formula:

Among them, n represents the current number of compactions, R _n represents the change rate of dynamic response parameters corresponding to n compactions; SD _σ , SD _α and SD _δ are the contact stress σ , acceleration α and acceleration α of the last adjacent preset compactions respectively. The standard deviation of the peak value of rotation angle δ; Δσ, Δα and Δδ are respectively the change values of the contact stress σ, acceleration α and peak value of rotation angle δ measured in the last two consecutive compactions;

If so, then the step of determining the corresponding number of compactions when the change degree of the dynamic response parameter reaches stability as the target number of compactions includes:

When the dynamic response parameter corresponding to the current number of compactions is less than the stability threshold and the dynamic response parameter corresponding to the adjacent previous number of compactions is greater than the stability threshold, the current number of compactions is used as the target number of compactions.

The invention also provides a method for making asphalt mixture, which method includes:

Determine the premix ratio of the asphalt mixture;

The number of compactions of the asphalt mixture is determined according to the Marshall compaction method of the asphalt mixture as described above, the asphalt mixture is compacted according to the number of compactions, and the compacted asphalt mixture is Conduct performance testing;

It is determined whether the pre-proportion is the target proportion according to whether the first indicator obtained by the compaction process and the second indicator obtained by the performance test are up to standard.

The invention also provides a Marshall compaction system for asphalt mixtures. The compaction system includes:

A dynamic response parameter acquisition module, used to acquire the dynamic response parameters of the asphalt mixture during the Marshall compaction process;

The dynamic response parameters are used to characterize the internal state of the asphalt mixture corresponding to the number of compactions;

A degree of change judgment module, used to judge whether the degree of change of the dynamic response parameter is stable;

The compaction number determination module is used to determine the corresponding compaction number when the change degree of the dynamic response parameter reaches stability as the target compaction number.

Preferably, the dynamic response parameter acquisition module is specifically used to bury sensors at preset positions inside the asphalt mixture to acquire the dynamic response parameters of the asphalt mixture during the compaction process.

Preferably, the dynamic response parameter acquisition module is specifically used to evenly bury a preset number of multi-index integrated intelligent sensors on the central axis of the asphalt mixture;

The dynamic response parameter acquisition module is specifically used to average the values of the same dynamic response parameter respectively obtained by the preset number of multi-index integrated intelligent sensors during the compaction process as the value of the asphalt mixture during the compaction process. dynamic response parameters.

Preferably, the change degree judgment module is specifically configured to determine the change rate of dynamic response parameters according to the dynamic response parameters;

The change rate of the dynamic response parameter is used to characterize the degree of change of the dynamic response parameter;

The degree of change determination module is specifically configured to determine whether the degree of change of the dynamic response parameter is stable based on the change rate of the dynamic response parameter and a preset stability threshold.

Preferably, the dynamic response parameters include contact stress, acceleration and rotation angle of internal particles of the asphalt mixture;

The change degree judgment module is specifically used to determine the change rate of the dynamic response parameter according to the dynamic response parameter and the following formula:

Among them, n represents the current number of compactions, R _n represents the change rate of dynamic response parameters corresponding to n compactions; SD _σ , SD _α and SD _δ are the contact stress σ , acceleration α and acceleration α of the last adjacent preset compactions respectively. The standard deviation of the peak value of rotation angle δ; Δσ, Δα and Δδ are respectively the change values of the contact stress σ, acceleration α and peak value of rotation angle δ measured in the last two consecutive compactions;

The compaction number determination module is specifically used when the dynamic response parameter corresponding to the current compaction number is less than the stable threshold and the dynamic response parameter corresponding to the adjacent previous compaction number is greater than the stable threshold. When setting the threshold, the current number of compactions is used as the target number of compactions.

The invention also provides an asphalt mixture production system, which includes:

A pre-mixing ratio determination module, used to determine the pre-mixing ratio of the asphalt mixture;

A compaction test module, used to determine the number of compactions of the asphalt mixture according to the Marshall compaction system of the asphalt mixture as described above, perform compaction processing on the asphalt mixture according to the number of compactions, and conduct The compacted asphalt mixture undergoes performance testing;

The indicator analysis module is used to determine whether the pre-proportion is the target proportion according to whether the first indicator obtained by the compaction process and the second indicator obtained by the performance test are up to standard.

The present invention also provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the Marshall of the asphalt mixture as described above is realized. Compaction method or method of making asphalt mixture as described above.

The present invention also provides a computer-readable storage medium on which a computer program is stored, which when executed by a processor implements the Marshall compaction method of asphalt mixtures as described above or the asphalt mixtures as described above. Production Method.

The positive progressive effects of the present invention are:

The Marshall compaction method of the asphalt mixture provided by the present invention obtains the dynamic response parameters that characterize the internal state of the asphalt mixture corresponding to the number of compactions, and determines the target number of compactions when the degree of change of the dynamic response parameters reaches stability, which is automated and The number of compaction times of the asphalt mixture is determined intelligently, and the degree of change of the dynamic response parameter of the internal state of the asphalt mixture corresponding to the number of compactions directly reflects the internal compaction state of the asphalt mixture, which is better than the internal state of the asphalt mixture through external parameters (such as The acceleration response of the compaction hammer) indirectly determines the compaction state more accurately, thereby improving the accuracy of determining the number of compactions for asphalt mixtures with different proportions and gradation types, and avoiding the crushing of coarse aggregates due to overpressure. Or under-pressure causes the porosity to fail to meet the requirements, which improves the quality of the asphalt mixture.

Description of drawings

Figure 1 is a first flow chart of the Marshall compaction method of asphalt mixture in Embodiment 1 of the present invention.

Figure 2 is a second flow chart of the Marshall compaction method of asphalt mixture in Embodiment 1 of the present invention.

Figure 3 is a schematic diagram of the embedding position and compaction method of the smart sensor in Embodiment 1 of the present invention.

Figure 4 is a display diagram showing the internal temperature test results of the mixture in Example 1 of the present invention.

Figure 5 is a flow chart of the production method of asphalt mixture in Embodiment 2 of the present invention.

Figure 6 is a schematic structural diagram of the Marshall compaction system of asphalt mixture in Embodiment 3 of the present invention.

Figure 7 is a schematic structural diagram of the asphalt mixture production system in Embodiment 4 of the present invention.

FIG. 8 is a schematic structural diagram of an electronic device in Embodiment 5 of the present invention.

Detailed ways

The present invention is further described below by means of examples, but the present invention is not limited to the scope of the described examples.

Example 1

Please refer to Figure 1, which is a first flow chart of the Marshall compaction method of the asphalt mixture in this embodiment. Specifically, the compaction method includes:

S101. Obtain the internal dynamic response parameters of the specimen during the Marshall compaction process of the asphalt mixture; the dynamic response parameters are used to characterize the internal state of the asphalt mixture corresponding to the number of compactions. Specifically, compared to determining the compaction state of the asphalt mixture through external data or parameters, the dynamic response parameters of this embodiment represent the internal state of the asphalt mixture corresponding to the number of compactions, which reflects the asphalt mixture more directly and truly. Compaction state of asphalt mixture.

S102. Determine whether the degree of change of the dynamic response parameter is stable. Specifically, the dynamic response parameters (including inter-particle contact stress σ, acceleration a and rotation angle δ) change with the number of compactions. As reflected in the situation, the response rules of asphalt mixtures with different gradation types (including but not limited to AC, SMA, OGFC, etc.) are different. Among them, SMA (Stone Mastic Asphalt) refers to asphalt mastic gravel mixture, OGFC (Open-graded Friction Courses) refers to open-graded drainage wearing layer mixture, and AC (Asphalt Concrete) refers to dense-graded asphalt mixture. material.

S103. If yes, determine the corresponding number of compactions when the change degree of the dynamic response parameter reaches stability as the target number of compactions. In an optional implementation, the critical number of compactions where the change rate of the dynamic response parameter is less than the preset stability threshold is used as the target number of compactions.

In an optional implementation, step S101 includes:

Sensors are embedded at preset positions inside the asphalt mixture to obtain the dynamic response parameters of the asphalt mixture during the compaction process.

The following is further explained in conjunction with the Marshall compaction test.

This embodiment uses AC-20C type asphalt mixture. The asphalt used is 70# base asphalt, the oil-stone ratio is 4.5%, and the mineral material synthesis gradation is shown in Table 1.

Table 1

This example uses a standard Marshall compaction instrument. The inner diameter of the test mold is 101.06mm±0.2mm (millimeters), the height is 87mm, the diameter of the base is about 120.6mm, the diameter of the compaction hammer is 98.5mm±0.5mm, the weight is 4536g±9g (grams), and the weight is 4536g±9g (grams). Height 457.2mm±1.5mm.

Please refer to Figure 2, which is a second flow chart of the Marshall compaction method of the asphalt mixture in this embodiment. Specifically, as shown in Figure 2, the steps of setting sensors at preset positions inside the asphalt mixture to obtain the dynamic response parameters of the asphalt mixture during the compaction process include:

S1011. Embed a preset number of multi-index integrated intelligent sensors evenly on the central axis of the asphalt mixture. As shown in Figure 3, at the central axis of the Marshall specimen A multi-index integrated intelligent sensor is buried at the position (h is the height of the Marshall specimen) to collect the internal particle contact stress σ, acceleration α, rotation angle δ, and temperature t of the asphalt mixture during the Marshall compaction process. A large amount of experimental data shows that compared with placed at other buried locations, respectively at the central axis The test signal of multi-index integrated multi-source intelligent sensors buried in the location is the most stable and the test results are the best.

The specific method is: after checking that the Marshall compaction instrument control box, compaction hammer and other equipment are correct, prepare to bury the multi-index integrated intelligent sensor, and add asphalt mixture to the Marshall test mold until it reaches one-third of the required amount. When, after preliminary leveling, a multi-index integrated intelligent sensor is buried in the center of the cross-section of the test mold; continue to add material until it reaches two-thirds of the required amount, and after preliminary leveling, bury a multi-index integrated smart sensor in the center of the cross-section of the test mold. Multi-index integrated intelligent sensors are buried at the location; remaining asphalt mixture is added. Then, one-sided compaction was performed 75 times, and the inter-particle contact stress σ, acceleration a, rotation angle δ, and temperature t within the mixture during the Marshall compaction process were collected and recorded in real time. Turn over the Marshall specimen that has been compacted 75 times on one side, and continue to compact it to a stable compaction state. During the Marshall compaction process, the contact stress σ, acceleration a, rotation angle δ, and temperature t between the internal particles of the mixture are collected and recorded in real time. , the temperature results are shown in Figure 4. Since there is a correlation between temperature and the contact stress σ between particles, the temperature value is measured simultaneously as a reference.

S1012. Average the values of the same dynamic response parameter obtained by the preset number of multi-index integrated intelligent sensors during the compaction process to serve as the dynamic response parameter of the asphalt mixture during the compaction process.

In an optional implementation, step S102 includes:

S1021. Determine the change rate of the dynamic response parameter according to the dynamic response parameter; the change rate of the dynamic response parameter is used to characterize the degree of change of the dynamic response parameter.

S1022. Determine whether the degree of change of the dynamic response parameter is stable based on the change rate of the dynamic response parameter and the preset stability threshold.

In this embodiment, the dynamic response parameters include the contact stress, acceleration and rotation angle of the internal particles of the asphalt mixture; the dynamic response parameter change rate is determined according to the dynamic response parameters and the following formula:

Among them, n represents the current number of compactions, R _n represents the change rate of dynamic response parameters corresponding to n compactions; SD _σ , SD _α and SD _δ are the contact stress σ , acceleration α and acceleration α of the last adjacent preset compactions respectively. The standard deviation of the peak value of rotation angle δ; Δσ, Δα and Δδ are respectively the change values of the contact stress σ, acceleration α and peak value of rotation angle δ measured in the last two consecutive compactions; with R _n-1 >ε, R _n < ε is used as the condition for the termination of Marshall compaction, where ε is the preset threshold, usually ε is 0.03.

Table 2 shows the test results of the dynamic response parameters of the internal particles of the mixture during the Marshall compaction process in one test. When the compaction reaches 132 times, the dynamic response parameters tend to be stable. Among them, the 127th-132nd Marshall compaction embedded The dynamic response parameters measured by 2 multi-index integrated smart sensors are shown in the following table:

Table 2

In this example, SD _σ , SD _α and SD _δ are respectively the standard deviations of the peak values of contact stress σ, acceleration α and rotation angle δ for the last five consecutive compactions; Δσ, Δα and Δδ are respectively the standard deviations of the last two consecutive compactions. The measured changes in peak values of contact stress σ, acceleration α and rotation angle δ were measured, and then R ₁₃₁ =0.831 and R ₁₃₂ =0.027 were calculated. Among them, taking the contact stress corresponding to 127 compactions as an example, the values obtained by the two sensors are 504.5KPa (kiloPascal) and 503.9KPa respectively, and the average value is 504.2KPa.

Step S103 includes:

S1031. When the dynamic response parameter corresponding to the current number of compactions is less than the stability threshold and the dynamic response parameter corresponding to the adjacent previous number of compactions is greater than the stability threshold, use the current number of compactions as the target number of compactions. Specifically, R ₁₃₁ = 0.831 > 0.03, R ₁₃₂ = 0.027 < 0.03, that is to say, when compaction is performed 132 times, the Marshall specimen reaches a stable compaction state, compaction is terminated, and 132 times is used as the target compaction number.

Repeat the above steps and conduct another three sets of parallel tests. The number of compaction terminations is 128, 131, and 126 times respectively. The maximum number of compaction terminations is 132 times. As this example, AC-20C type asphalt is used for mixing. Marshall compaction times for material molding.

The Marshall compaction method of the asphalt mixture provided by the present invention obtains the dynamic response parameters of the asphalt mixture that represent the internal state of the asphalt mixture corresponding to the number of compactions. When the change rate of the dynamic response parameter reaches the preset stability threshold Determine the target number of compactions, automatically and intelligently determine the number of compactions of the asphalt mixture, and the degree of change in the dynamic response parameters of the internal state of the asphalt mixture corresponding to the number of compactions directly reflects the internal compaction of the asphalt mixture. state, which is more accurate than indirectly determining the compaction state through external parameters (such as the acceleration response of the compaction hammer), thereby improving the accuracy of determining the number of compactions for asphalt mixtures with different proportions and different gradation types, and avoiding the need for The coarse aggregate is broken due to over-pressure or the porosity does not meet the requirements due to under-pressure, which improves the quality of the asphalt mixture.

Example 2

Please refer to FIG. 5 , which is a flow chart of the production method of the asphalt mixture in this embodiment.

Specifically, the production method includes:

S201. Determine the pre-mixing ratio of the asphalt mixture; specifically, this embodiment uses AC-20C asphalt mixture, the asphalt used is 70# base asphalt, the oil-stone ratio is 4.5%, and the mineral material synthesis gradation is shown in Table 1.

S202. Determine the number of compactions of the asphalt mixture according to the Marshall compaction method of the asphalt mixture in Example 1, conduct compaction treatment on the asphalt mixture according to the number of compactions, and conduct performance tests on the compacted asphalt mixture;

S203. Determine whether the premix ratio is the target ratio based on whether the first index obtained by the compaction process and the second index obtained by the performance test are up to standard. The volume parameters and conventional performance of the AC-20C asphalt mixture obtained in step S202 were verified. The results are shown in Table 3. The Marshall test index (first index) and various road performance indexes (second index) are in compliance with the specifications. requirements, indicating the applicability and effectiveness of this method.

table 3

The production method of the asphalt mixture provided by this embodiment determines the number of compactions of the asphalt mixture by using the Marshall compaction method of the asphalt mixture, performs compaction processing on the asphalt mixture according to the determined number of compactions, and performs compaction processing on the asphalt mixture. The asphalt mixture after compaction is subjected to a performance test. If the first index obtained by the compaction treatment and the second index obtained by the performance test both meet the standards, the premixed ratio is determined as the target ratio, and the asphalt mixture is determined automatically and intelligently. The target proportion improves the accuracy of determining the number of compactions for asphalt mixtures with different proportions and gradation types, and avoids the crushing of coarse aggregates due to over-pressure or under-pressure causing the porosity to fail to meet the requirements, thereby improving the improve the quality of asphalt mixture.

Example 3

Please refer to Figure 6, which is a schematic structural diagram of the Marshall compaction system of the asphalt mixture in this embodiment. Specifically, the compaction system includes:

Dynamic response parameter acquisition module 1 is used to obtain the internal dynamic response parameters of the specimen during the Marshall compaction process of the asphalt mixture; the dynamic response parameters are used to characterize the internal state of the asphalt mixture corresponding to the number of compactions; specifically, relative to The compaction state of the asphalt mixture is determined through external data or parameters. The dynamic response parameters in this embodiment represent the internal state of the asphalt mixture corresponding to the number of compactions, which more directly and truly reflects the compaction state of the asphalt mixture. real state.

The degree of change judgment module 2 is used to judge whether the degree of change of the dynamic response parameters is stable; specifically, it is reflected by the changes of the dynamic response parameters (including inter-particle contact stress σ, acceleration a and rotation angle δ) with the number of compactions, The response patterns of asphalt mixtures with different gradation types (including but not limited to AC, SMA, OGFC, etc.) are different. Among them, SMA (Stone Mastic Asphalt) refers to asphalt mastic gravel mixture, OGFC (Open-graded Friction Courses) It refers to open-graded drainage wearing layer mixture, and AC (Asphalt Concrete) refers to dense-graded asphalt mixture.

The compaction number determination module 3 is used to determine the corresponding compaction number when the change degree of the dynamic response parameter reaches a stable level as the target compaction number. In an optional implementation, the critical number of compactions where the change rate of the dynamic response parameter is less than the preset stability threshold is used as the target number of compactions.

In an optional implementation, the dynamic response parameter acquisition module 1 is specifically used to embed sensors at preset positions inside the asphalt mixture to acquire the dynamic response parameters of the asphalt mixture during the compaction process.

The following is further explained in conjunction with the Marshall compaction test.

This embodiment uses AC-20C type asphalt mixture. The asphalt used is 70# base asphalt, the oil-stone ratio is 4.5%, and the mineral material synthesis gradation is shown in Table 1.

This example uses a standard Marshall compaction instrument. The inner diameter of the test mold is 101.06mm±0.2mm (millimeters), the height is 87mm, the diameter of the base is about 120.6mm, the diameter of the compaction hammer is 98.5mm±0.5mm, the weight is 4536g±9g (grams), and the weight is 4536g±9g (grams). Height 457.2mm±1.5mm.

Specifically, the dynamic response parameter acquisition module 1 is specifically used to evenly bury a preset number of multi-index integrated intelligent sensors on the central axis of the asphalt mixture; as shown in Figure 3, at the central axis of the Marshall specimen A multi-index integrated intelligent sensor is buried at the position (h is the height of the Marshall specimen) to collect the internal particle contact stress σ, acceleration α, rotation angle δ, and temperature t of the asphalt mixture during the Marshall compaction process. A large amount of test data shows that compared with other buried locations, the central axis is The test signal of multi-index integrated multi-source intelligent sensors buried in the location is the most stable and the test results are the best.

The specific method is: check the Marshall compaction instrument control box, compaction hammer and other equipment, prepare to bury multi-index integrated intelligent sensors, and add asphalt mixture into the Marshall test mold. When it reaches one-third of the required amount, After preliminary leveling, bury a multi-index integrated smart sensor in the center of the cross-section of the test mold; continue to add material until it reaches two-thirds of the required amount. After preliminary leveling, bury multiple indicators in the center of the cross-section of the test mold. Indicators integrate smart sensors; add remaining asphalt mixture. Then, single-sided compaction was performed 75 times, and the contact between particles within the mixture during the Marshall compaction process was collected and recorded in real time. Stress σ, acceleration a, rotation angle δ, temperature t. Turn over the Marshall specimen that has been compacted 75 times on one side, and continue to compact it to a stable compaction state. During the Marshall compaction process, the contact stress σ, acceleration a, rotation angle δ, and temperature t between the internal particles of the mixture are collected and recorded in real time. , the temperature results are shown in Figure 4. Since there is a correlation between temperature and the contact stress σ between particles, the temperature value is measured simultaneously as a reference.

The dynamic response parameter acquisition module 1 is specifically used to average the values of the same dynamic response parameter obtained by a preset number of multi-index integrated intelligent sensors during the compaction process as the dynamic response parameter of the asphalt mixture during the compaction process.

In an optional implementation, the degree of change judgment module 2 is specifically used to determine the change rate of the dynamic response parameter according to the dynamic response parameter; the change rate of the dynamic response parameter is used to characterize the degree of change of the dynamic response parameter; the degree of change judgment module 2 is specifically used to determine the change rate of the dynamic response parameter. It is used to determine whether the degree of change of the dynamic response parameter is stable based on the change rate of the dynamic response parameter and the preset stability threshold.

In this embodiment, the dynamic response parameters include the contact stress, acceleration and rotation angle of the internal particles of the asphalt mixture; the change degree judgment module 2 is specifically used to determine the change rate of the dynamic response parameters according to the dynamic response parameters and the following formula:

Among them, n represents the current number of compactions, R _n represents the change rate of dynamic response parameters corresponding to n compactions; SD _σ , SD _α and SD _δ are the contact stress σ , acceleration α and acceleration α of the last adjacent preset compactions respectively. The standard deviation of the peak value of rotation angle δ; Δσ, Δα and Δδ are respectively the change values of the contact stress σ, acceleration α and peak value of rotation angle δ measured in the last two consecutive compactions; with R _n-1 >ε, R _n < ε is used as the condition for the termination of Marshall compaction, where ε is the preset threshold, usually ε is 0.03.

Table 2 shows the test results of the dynamic response parameters of the internal particles of the mixture during the Marshall compaction process in one test. When the compaction reaches 132 times, the dynamic response parameters tend to be stable. Among them, the 127th-132nd Marshall compaction embedded The dynamic response parameters measured by the two multi-index integrated smart sensors are shown in Table 2.

In this example, SD _σ , SD _α and SD _δ are respectively the standard deviations of the peak values of contact stress σ, acceleration α and rotation angle δ for the last five consecutive compactions; Δσ, Δα and Δδ are respectively the standard deviations of the last two consecutive compactions. Actual test The obtained change values of the contact stress σ, acceleration α and rotation angle δ peak values were then calculated to obtain R ₁₃₁ =0.831 and R ₁₃₂ =0.027.

The compaction number determination module 3 is specifically used to use the current compaction number as the target compaction when the dynamic response parameter corresponding to the current compaction number is less than the stable threshold and the dynamic response parameter corresponding to the adjacent previous compaction number is less than the stable threshold. frequency. Specifically, R131=0.831>0.03, R132=0.027<0.03, that is to say, when 132 times of compaction are performed, the Marshall specimen reaches a stable compaction state, compaction is terminated, and 132 times is used as the target number of compactions.

Repeat the above operation and conduct another three sets of parallel tests. The number of compaction termination times is 128, 131, and 126 times respectively. The maximum number of compaction termination times is 132 times. As this example, AC-20C type asphalt is used for mixing. Marshall compaction times for material molding.

The Marshall compaction system for asphalt mixtures provided by the present invention obtains the dynamic response parameters of the asphalt mixture that represent the internal state of the asphalt mixture corresponding to the number of compactions. When the change rate of the dynamic response parameters reaches the preset stability threshold, Determine the target number of compactions, automatically and intelligently determine the number of compactions of the asphalt mixture, and the degree of change in the dynamic response parameters of the internal state of the asphalt mixture corresponding to the number of compactions directly reflects the internal compaction of the asphalt mixture. state, which is more accurate than indirectly determining the compaction state through external parameters (such as the acceleration response of the compaction hammer), thereby improving the accuracy of determining the number of compactions for asphalt mixtures with different proportions and different gradation types, and avoiding the need for The coarse aggregate is broken due to over-pressure or the porosity does not meet the requirements due to under-pressure, which improves the quality of the asphalt mixture.

Example 4

Please refer to FIG. 7 , which is a schematic structural diagram of the asphalt mixture production system in this embodiment. Specifically, the production system includes:

The pre-proportion determination module 4 is used to determine the pre-proportion of asphalt mixture; specifically, this embodiment uses AC-20C type asphalt mixture, the asphalt used is 70# base asphalt, the oil-stone ratio is 4.5%, and the mineral material synthesis grade The configuration is shown in Table 1.

The compaction test module 5 is used to determine the number of compactions of the asphalt mixture according to the Marshall compaction system of the asphalt mixture, conduct compaction processing of the asphalt mixture according to the number of compactions, and conduct compaction processing on the asphalt mixture. Conduct performance tests on the final asphalt mixture;

The index analysis module 6 is used to determine whether the premix ratio is the target ratio based on whether the first index obtained by the compaction process and the second index obtained by the performance test are up to standard. The volume parameters and conventional performance of the AC-20C asphalt mixture obtained in the compaction test module 5 were verified. The results are shown in Table 3. The Marshall test index (first index) and various road performance indexes (second index) All meet the specification requirements, indicating the applicability and effectiveness of this method.

The asphalt mixture production system provided in this embodiment determines the number of compactions of the asphalt mixture by using the Marshall compaction system of the asphalt mixture, performs compaction processing on the asphalt mixture according to the determined number of compactions, and performs compaction processing on the asphalt mixture. The asphalt mixture after compaction is subjected to a performance test. If the first index obtained by the compaction treatment and the second index obtained by the performance test both meet the standards, the premixed ratio is determined as the target ratio, and the asphalt mixture is determined automatically and intelligently. The target proportion improves the accuracy of determining the number of compactions for asphalt mixtures with different proportions and gradation types, and avoids the crushing of coarse aggregates due to over-pressure or under-pressure causing the porosity to fail to meet the requirements, thereby improving the improve the quality of asphalt mixture.

Example 5

FIG. 8 is a schematic structural diagram of an electronic device provided in Embodiment 5 of the present invention. The electronic device includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the program, the Marshall compaction method or embodiment of the asphalt mixture of Embodiment 1 is implemented. 2. Preparation method of asphalt mixture. The electronic device 30 shown in FIG. 8 is only an example and should not bring any limitations to the functions and scope of use of the embodiments of the present invention.

As shown in FIG. 8 , the electronic device 30 may be in the form of a general computing device, for example, it may be a server device. The components of the electronic device 30 may include, but are not limited to: the above-mentioned at least one processor 31, the above-mentioned at least one memory 32, and a bus 33 connecting different system components (including the memory 32 and the processor 31).

Bus 33 includes a data bus, an address bus and a control bus.

The memory 32 may include volatile memory, such as random access memory (RAM) 321 and/or cache memory 322 , and may further include a read-only memory (ROM) 323 .

The memory 32 may also include a program/utility 325 having a set of (at least one) program modules 324 including, but not limited to: an operating system, one or more application programs, other program modules, and program data. Each of the examples, or some combination thereof, may include the implementation of a network environment.

The processor 31 executes various functional applications and data processing by running the computer program stored in the memory 32. For example, the present invention implements the Marshall compaction method of the asphalt mixture in Embodiment 1 or the production of the asphalt mixture in Embodiment 2. method.

Electronic device 30 may also communicate with one or more external devices 34 (eg, keyboard, pointing device, etc.). This communication may occur through the input/output (I/O) interface 35. Furthermore, the model generation device 30 may also communicate with one or more networks (eg, a local area network (LAN), a wide area network (WAN), and/or a public network, such as the Internet) through a network adapter 36 . As shown, network adapter 36 communicates with other modules of model-generated device 30 via bus 33 . It should be understood that, although not shown in the figures, other hardware and/or software modules may be used in conjunction with the model-generated device 30, including but not limited to: microcode, device drivers, redundant processors, external disk drive arrays, RAID (disk Array) systems, tape drives, and data backup storage systems, etc.

It should be noted that although several units/modules or sub-units/modules of the electronic device are mentioned in the above detailed description, this division is only exemplary and not mandatory. Indeed, according to embodiments of the present invention, the features and functions of two or more units/modules described above may be embodied in one unit/module. Conversely, the features and functions of one unit/module described above may be further divided to be embodied by multiple units/modules.

Example 6

This embodiment provides a computer-readable storage medium on which a computer program is stored. When the program is executed by a processor, the Marshall compaction method of the asphalt mixture of Embodiment 1 or the asphalt mixture of Embodiment 2 is implemented. Production Method.

Among them, the readable storage medium that can be used more specifically includes but is not limited to: portable disk, hard disk, random access memory, read-only memory, erasable programmable read-only memory, optical memory components, magnetic storage devices, or any suitable combination of the above.

In a possible implementation, the present invention can also be implemented in the form of a program product, which includes program code. When the program product is run on a terminal device, the program code is used to cause the terminal device to execute the implementation The Marshall compaction method of the asphalt mixture of Example 1 or the production method of the asphalt mixture of Example 2.

Among them, the program code for executing the present invention can be written in any combination of one or more programming languages. The program code can be completely executed on the user device, partially executed on the user device, as an independent The software package executes partially on the user device, partially on the remote device, or entirely on the remote device.

Although specific embodiments of the present invention have been described above, those skilled in the art will understand that these are only examples, and the protection scope of the present invention is defined by the appended claims. Those skilled in the art can make various changes or modifications to these embodiments without departing from the principles and essence of the present invention, but these changes and modifications all fall within the protection scope of the present invention.

Claims (10)

1. A Marshall compaction method for asphalt mixture, characterized in that the compaction method includes:

   Obtain the dynamic response parameters of the asphalt mixture during the Marshall compaction process;

   The dynamic response parameters are used to characterize the internal state of the asphalt mixture corresponding to the number of compactions;

   Determine whether the degree of change of the dynamic response parameter is stable;

   If so, the corresponding number of compactions when the change degree of the dynamic response parameter reaches stability is determined as the target number of compactions.
2. The compaction method according to claim 1, wherein the step of obtaining the dynamic response parameters of the asphalt mixture during the Marshall compaction process includes:

   Sensors are embedded at preset positions inside the asphalt mixture to obtain dynamic response parameters of the asphalt mixture during the compaction process.
3. The compaction method according to claim 2, wherein the step of burying a sensor at a preset position inside the asphalt mixture to obtain the dynamic response parameters of the asphalt mixture during the compaction process includes:

   A preset number of multi-index integrated intelligent sensors are evenly embedded on the central axis of the asphalt mixture to obtain at least one type of dynamic response parameters of the asphalt mixture during the compaction process;

   The values of the same dynamic response parameter respectively obtained by the preset number of multi-index integrated intelligent sensors during the compaction process are averaged as the dynamic response parameter of the asphalt mixture during the compaction process.
4. The compaction method according to claim 1, wherein the step of determining whether the degree of change of the dynamic response parameter is stable includes:

   Determine the dynamic response parameter change rate according to the dynamic response parameter;

   The change rate of the dynamic response parameter is used to characterize the degree of change of the dynamic response parameter;

   The dynamic response parameter is judged according to the change rate of the dynamic response parameter and the preset stability threshold. Whether the degree of change in the number is stable.
5. The compaction method according to claim 4, wherein the dynamic response parameters include contact stress, acceleration and rotation angle of the internal particles of the asphalt mixture;

   The change rate of the dynamic response parameter is determined according to the dynamic response parameter and the following formula:
   

   Among them, n represents the current number of compactions, R _n represents the change rate of dynamic response parameters corresponding to n compactions; SD _σ , SD _α and SD _δ are the contact stress σ , acceleration α and acceleration α of the last adjacent preset compactions respectively. The standard deviation of the peak value of rotation angle δ; Δσ, Δα and Δδ are respectively the change values of the contact stress σ, acceleration α and peak value of rotation angle δ measured in the last two consecutive compactions;

   If so, then the step of determining the corresponding number of compactions when the change degree of the dynamic response parameter reaches stability as the target number of compactions includes:

   When the dynamic response parameter corresponding to the current number of compactions is less than the stability threshold and the dynamic response parameter corresponding to the adjacent previous number of compactions is greater than the stability threshold, the current number of compactions is used as the target number of compactions.
6. A method of producing asphalt mixture, characterized in that the production method includes:

   Determine the premix ratio of the asphalt mixture;

   The number of compactions of the asphalt mixture is determined according to the Marshall compaction method of the asphalt mixture according to any one of claims 1 to 5, and the compaction treatment of the asphalt mixture is performed according to the number of compactions, and Conduct performance tests on compacted asphalt mixtures;

   It is determined whether the pre-proportion is the target proportion according to whether the first indicator obtained by the compaction process and the second indicator obtained by the performance test are up to standard.
7. A Marshall compaction system for asphalt mixture, characterized in that the compaction system includes:

   A dynamic response parameter acquisition module, used to acquire the dynamic response parameters of the asphalt mixture during the Marshall compaction process;

   The dynamic response parameters are used to characterize the internal state of the asphalt mixture corresponding to the number of compactions;

   A degree of change judgment module, used to judge whether the degree of change of the dynamic response parameter is stable;

   The compaction number determination module is used to determine the corresponding compaction number when the change degree of the dynamic response parameter reaches stability as the target compaction number.
8. An asphalt mixture production system, characterized in that the production system includes:

   A pre-mixing ratio determination module, used to determine the pre-mixing ratio of the asphalt mixture;

   Compaction test module, used to determine the number of compactions of the asphalt mixture according to the Marshall compaction system of the asphalt mixture according to claim 7, and perform compaction treatment on the asphalt mixture according to the number of compactions. , and conduct performance tests on the compacted asphalt mixture;

   An index analysis module is used to determine whether the premixed ratio is the target ratio based on whether the first index obtained by the compaction process and the second index obtained by the performance test are up to standard.
9. An electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that when the processor executes the computer program, it implements any one of claims 1-5 The Marshall compaction method of the asphalt mixture described in the item or the manufacturing method of the asphalt mixture according to claim 6.
10. A computer-readable storage medium with a computer program stored thereon, characterized in that when the computer program is executed by a processor, the Marshall compaction method of asphalt mixture according to any one of claims 1-5 is implemented. Or the production method of asphalt mixture according to claim 6.