Intelligent compaction method for asphalt pavement
By establishing a functional relationship between temperature and compaction degree in asphalt pavement construction and combining it with the principle of functional equivalence, intelligent compaction operation was achieved, solving the problem of unreasonable compaction passes and ensuring the quality and service life of asphalt pavement.
Patent Information
- Application Number
- CN202411591432.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2024-11-08
- Publication Date
- 2025-11-21
- Estimated Expiration
- 2044-11-08
AI Technical Summary
In existing asphalt pavement compaction methods, the number of compaction passes is not properly controlled, making it difficult to guarantee the degree of compaction. This can easily lead to problems such as rutting, water damage, aggregate breakage, and oil bleeding. Furthermore, core sampling tests can only be used for post-construction verification and cannot be adjusted in real time.
By establishing the functional relationship between the compaction degree of asphalt mixture, the number of rotary compaction cycles, and the internal temperature through indoor rotary compaction experiments, and combining the functional relationship between the surface temperature and the internal temperature at the construction site, the actual number of rotary compaction cycles is calculated using the principle of functional equivalence, and the rolling rate is monitored and adjusted in real time to achieve intelligent compaction.
It effectively solved the problem of unreasonable compaction passes, avoided defects, ensured the engineering quality of asphalt pavement, and extended its service life.
Smart Images

Figure CN119715670B_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The present application relates to the technical field of asphalt pavement construction, and particularly relates to an intelligent compaction method for asphalt pavement. BACKGROUND
[0002] Compaction degree seriously affects the service performance and service life of the asphalt pavement. If the compaction degree is insufficient, rutting, water damage and other diseases are easily caused; on the contrary, if the compaction degree is too large, aggregate crushing, pavement oiling and other phenomena are easily caused. Therefore, in the construction process, it is necessary to ensure that the asphalt pavement has a reasonable compaction degree to ensure that the asphalt pavement has good service performance in the operation stage. In engineering practice, the compaction passes are determined by a test road and combined with engineering experience, and the compaction passes determined by the test road are controlled, and a small amount of coring test is used as verification. However, as a temperature-sensitive viscoelastic material, the compaction characteristics of the asphalt mixture are closely related to the compaction temperature and speed. When the temperature is high, the compaction is easy, and when the temperature is low, the compaction is very difficult; on the other hand, from the perspective of energy conservation, when other conditions are constant, the work output by the road roller per unit time is constant, so when the walking speed of the road roller changes, the compaction work per unit area of the mixture will inevitably change. In the actual construction process, the mixture temperature is affected by the production, transportation, paving and construction climate of the mixing station, and it is difficult to keep stable, and the walking speed of the road roller is also difficult to keep constant. Therefore, it is difficult to ensure that the compaction degree meets the relevant requirements only by controlling the number of passes, and a small amount of coring test only represents the results of "points" and cannot reflect the compaction degree of "surface"; and the coring test is a post-validation, and once the compaction degree is insufficient, the work must be returned, which causes great waste. SUMMARY
[0003] The present application aims to provide an intelligent compaction method for asphalt pavement, which solves the problem that the existing compaction method for asphalt pavement is prone to unreasonable compaction passes.
[0004] The present application is implemented by the following technical solutions:
[0005] An intelligent compaction method for asphalt pavement, comprising the following steps:
[0006] Performing indoor rotary compaction experiments to obtain a functional relationship among the compaction degree, the rotary compaction number and the internal temperature of the asphalt mixture, and establishing a first function;
[0007] Performing construction site experiments to obtain a functional relationship between the surface temperature and the internal temperature of the asphalt mixture, and establishing a second function;
[0008] Substituting the actual surface temperature of the asphalt mixture at the construction site into the second function to obtain the actual internal temperature of the asphalt mixture, and substituting the actual internal temperature into the first function to obtain a standard rotary compaction number when the compaction degree reaches a standard compaction degree.
[0009] At the construction site, a standard rolling speed of the compaction machine and an actual rolling speed are obtained;
[0010] According to the functional equivalence principle, an actual number of times of rotary compaction is obtained through the standard rolling speed, the actual rolling speed and the standard number of times of rotary compaction;
[0011] The actual number of times of rotary compaction and the actual internal temperature of the asphalt mixture at the construction site are substituted into the first function to obtain an actual compaction degree;
[0012] When the actual compaction degree is greater than or equal to a standard compaction degree, the actual rolling speed is used for compaction operation;
[0013] When the actual compaction degree is less than the standard compaction degree, a supplementary compaction operation is performed.
[0014] Optionally, a function relationship among the compaction degree, the number of times of rotary compaction and the internal temperature of the asphalt mixture is obtained, and a first function is established, including the following steps:
[0015] Multiple portions of the asphalt mixture are obtained, and internal temperatures are measured respectively;
[0016] Each portion of the asphalt mixture is used for indoor rotary compaction experiment respectively, and a corresponding internal temperature, a compaction degree of the asphalt mixture and a corresponding number of times of rotary compaction are obtained to obtain a data set;
[0017] The first function is obtained through fitting of all the data sets.
[0018] Optionally, the first function is obtained through fitting of all the data sets, including the following steps:
[0019] Each data set corresponding to each portion of the asphalt mixture is fitted to obtain a data curve of the compaction degree and the number of times of rotary compaction at each internal temperature;
[0020] The first function is obtained through fitting of all the data curves.
[0021] Optionally, a function relationship between the surface temperature and the internal temperature of the asphalt mixture is obtained, and a second function is established, including the following steps:
[0022] The surface temperatures of multiple points of the asphalt mixture to be compacted are measured through an infrared temperature sensor;
[0023] The internal temperatures corresponding to each point of the asphalt mixture to be compacted are measured through a plug-in thermometer;
[0024] The second function is obtained through fitting of all the surface temperatures and the internal temperatures of all the points of the asphalt mixture.
[0025] Optionally, the function relationship between the surface temperature and the internal temperature of the asphalt mixture is obtained to establish a second function, comprising the following steps:
[0026] The surface temperature of any point of the asphalt mixture to be compacted is measured by an infrared temperature sensor;
[0027] The internal temperature of any point of the asphalt mixture to be compacted is measured by a plug-in thermometer;
[0028] The temperature difference between the surface temperature and the internal temperature of the asphalt mixture is calculated to obtain the second function.
[0029] Optionally, the actual number of times of rotary compaction is obtained according to the functional equivalence principle, the standard rolling speed, the actual rolling speed and the standard number of times of rotary compaction, comprising the following steps:
[0030] An equivalent proportional relationship between the number of times of rotary compaction and the rolling speed of the compaction machine when the asphalt mixture is at the same internal temperature is established to obtain an equivalent proportional formula;
[0031] The standard rolling speed, the actual rolling speed and the standard number of times of rotary compaction are substituted into the equivalent proportional formula to obtain the actual number of times of rotary compaction.
[0032] Optionally, the equivalent proportional formula is:
[0033]
[0034] Wherein:
[0035] n1 is the standard number of times of rotary compaction;
[0036] n2 is the actual number of times of rotary compaction;
[0037] v1 is the standard rolling speed;
[0038] v2 is the actual rolling speed.
[0039] Optionally, the supplement compaction operation comprises the following steps:
[0040] A function between the compaction degree and the compaction times of the asphalt mixture is obtained to establish a third function;
[0041] The actual compaction degree and the standard compaction degree are substituted into the third function to obtain the number of supplement compaction times, and the actual rolling speed and the number of supplement compaction times are used for the supplement compaction operation.
[0042] Optionally, the function between the compaction degree and the compaction times of the asphalt mixture is obtained to establish a third function, comprising the following steps:
[0043] obtaining an existing experience data set of compaction degree and compaction times;
[0044] obtaining the third function through fitting of the existing experience data set.
[0045] Optionally, the substituting the actual compaction degree and the standard compaction degree into the third function to obtain the supplement compaction times comprises the following steps:
[0046] substituting the standard compaction degree into the third function to obtain standard compaction times;
[0047] substituting the actual compaction degree into the third function to obtain actual compaction times;
[0048] calculating the data difference between the actual compaction times and the standard compaction times to obtain the supplement compaction times.
[0049] Compared with the prior art, the present application has the following advantages and beneficial effects:
[0050] The asphalt pavement intelligent compaction method provided by the present application is based on indoor rotary compaction experiments, obtains a function relationship among compaction degree, rotary compaction times and internal temperature of asphalt mixture, and establishes a first function; on this basis, through construction site experiments, a function relationship between surface temperature and internal temperature of asphalt mixture is obtained, and a second function is established, so as to convert the inconveniently measured internal temperature into measured external temperature, and the external temperature can be associated with the compaction degree and the rotary compaction times; on this basis, by substituting the actual surface temperature of asphalt mixture at the construction site into the second function, the actual internal temperature of asphalt mixture is obtained, and the actual internal temperature is substituted into the first function, so that the standard rotary compaction times when the compaction degree reaches the standard compaction degree can be obtained; on this basis, by obtaining the standard rolling speed and the actual rolling speed of the compaction machinery at the construction site, the functional equivalence principle is used, so that the relationship between the rotary compaction times and the rolling speed is established, and thus the actual rotary compaction times are obtained; on this basis, by substituting the actual rotary compaction times and the actual internal temperature of asphalt mixture at the construction site into the first function, the actual compaction degree can be obtained as a data reference for actual judgment; when the actual compaction degree is greater than or equal to the standard compaction degree, the actual rolling speed is used for compaction operation, and when the actual compaction degree is less than the standard compaction degree, supplement compaction operation is performed; through mutual cooperation of the above steps, the asphalt pavement intelligent compaction method can effectively solve the problem that the existing asphalt pavement compaction method is prone to unreasonable compaction times, avoid various disease phenomena of asphalt pavement in the later period due to unreasonable compaction times, ensure the engineering quality of asphalt pavement, and prolong the service life of asphalt pavement. BRIEF DESCRIPTION OF DRAWINGS
[0051] The accompanying drawings, which are included to provide a further understanding of embodiments of the invention and form part of this application, do not constitute a limitation thereof. In the drawings:
[0052] Figure 1 A flowchart of the intelligent compaction method for asphalt pavement provided in an embodiment of the present invention;
[0053] Figure 2 This is the first fitting graph showing the relationship between the compaction degree, number of rotary compaction cycles, and internal temperature of the asphalt mixture in Example 1 of the present invention;
[0054] Figure 3 This is the second fitting graph showing the relationship between the compaction degree, the number of rotary compaction cycles, and the internal temperature of the asphalt mixture in Example 1 of the present invention;
[0055] Figure 4 The fitted graph of the third function for the pressure compensation operation;
[0056] Figures 5 to 8 This is a schematic diagram of the compaction operation provided in an embodiment of the present invention;
[0057] Figure 9 This is a schematic diagram provided for an embodiment of the present invention. Detailed Implementation
[0058] To make the objectives, technical solutions, and advantages of the present invention clearer, the present invention will be further described in detail below with reference to the embodiments and accompanying drawings. The illustrative embodiments and descriptions of the present invention are only used to explain the present invention and are not intended to limit the present invention.
[0059] Please refer to Figure 1 This embodiment provides an intelligent compaction method for asphalt pavement, including the following steps:
[0060] S1. Conduct indoor rotary compaction tests to obtain the functional relationship between the compaction degree, the number of rotary compaction cycles, and the internal temperature of the asphalt mixture, and establish the first function;
[0061] S2. Conduct on-site construction experiments to obtain the functional relationship between the surface temperature and internal temperature of asphalt mixtures, and establish a second function;
[0062] S3. Substitute the actual surface temperature of the asphalt mixture at the construction site into the second function to obtain the actual internal temperature of the asphalt mixture. Substitute the actual internal temperature into the first function to obtain the standard number of rotary compaction times when the compaction degree reaches the standard compaction degree.
[0063] S4. At the construction site, obtain the standard compaction rate and actual compaction rate of the compaction machinery;
[0064] S5. Based on the principle of functional equivalence, the actual number of rotary compaction cycles is obtained by using the standard rolling rate, the actual rolling rate, and the standard number of rotary compaction cycles.
[0065] S6. Substitute the actual number of rotary compaction cycles and the actual internal temperature of the asphalt mixture at the construction site into the first function to obtain the actual compaction degree;
[0066] When the actual compaction degree is greater than or equal to the standard compaction degree, the actual rolling rate is used for compaction.
[0067] When the actual compaction degree is less than the standard compaction degree, additional compaction is performed.
[0068] The intelligent asphalt pavement compaction method provided in this embodiment, through step S1, obtains the functional relationship between the compaction degree, the number of rotary compaction cycles, and the internal temperature of the asphalt mixture based on indoor rotary compaction experiments, and establishes a first function; based on this, through step S2, conducts experiments at the construction site to obtain the functional relationship between the surface temperature and the internal temperature of the asphalt mixture, and establishes a second function, thereby transforming the inconveniently measured internal temperature into a measurable external temperature, and making the external temperature correlated with the compaction degree and the number of rotary compaction cycles; based on this, through step S3, substitutes the actual surface temperature of the asphalt mixture at the construction site into the second function to obtain the actual internal temperature of the asphalt mixture, and substitutes the actual internal temperature into the first function to obtain the standard number of rotary compaction cycles when the compaction degree reaches the standard compaction degree; based on this, through steps S4 and S5, obtains the standard roller of the compaction machinery at the construction site. By utilizing the principle of functional equivalence, the relationship between the number of rotary compaction passes and the actual compaction rate can be established, thus obtaining the actual number of rotary compaction passes. Based on this, in step S6, the actual number of rotary compaction passes and the actual internal temperature of the asphalt mixture at the construction site are substituted into the first function to obtain the actual compaction degree, which serves as a data reference for actual judgment. When the actual compaction degree is greater than or equal to the standard compaction degree, the roller moves to the next area for compaction; when the actual compaction degree is less than the standard compaction degree, the roller continues to perform supplementary compaction in that area. Through the coordination of the above steps, this intelligent asphalt pavement compaction method effectively solves the problem of unreasonable compaction passes in existing asphalt pavement compaction methods, avoiding various defects in the asphalt pavement that occur later due to unreasonable compaction passes, ensuring the engineering quality of the asphalt pavement, and extending the service life of the asphalt pavement.
[0069] Specifically, a GNSS antenna is installed on top of the road roller to receive BeiDou signals, obtain the road roller's current location in real time, and acquire speed signals, temperature, compaction data, etc., which are then expressed in the form of a cloud map. When the compaction is sufficient, the current location information and compaction degree are recorded, such as... Figure 5In the red area, the roller moves to the next area for compaction. When compaction is insufficient (e.g....), the roller will then proceed to the next area for further compaction. Figure 5 When the blue area is detected, an alarm is triggered, and the road roller continues to perform supplementary compaction in that area. With each compaction pass, the cumulative compaction value is continuously updated until the compaction requirements are met. Simultaneously, the road roller's location information, combined with the cumulative compaction information, is presented in the form of a cloud map. Figures 5 to 8 The uncompacted areas are displayed on the vehicle-mounted terminal and simultaneously transmitted remotely to a server via GPRS signal (e.g., Figure 9 (As shown).
[0070] To further explain the method for establishing the first function, the process of obtaining the functional relationship between the compaction degree, the number of rotary compaction cycles, and the internal temperature of the asphalt mixture to establish the first function includes the following steps:
[0071] S1.1 Obtain multiple portions of asphalt mixture and measure the internal temperature of each;
[0072] S1.2. Conduct indoor rotary compaction tests on each asphalt mixture to obtain datasets of the compaction degree and the corresponding number of rotary compaction times at the corresponding internal temperatures.
[0073] S1.3. Fit the entire dataset to obtain the first function.
[0074] To further explain the above fitting method, the step of fitting the entire dataset to obtain the first function includes the following steps:
[0075] S1.3.1. Fit the dataset corresponding to each asphalt mixture to obtain the data curves of compaction degree and number of rotational compaction times for each internal temperature;
[0076] S1.3.2. Fit all the data curves to obtain the first function.
[0077] Optionally, to further explain the method of establishing the second function, the step of obtaining the functional relationship between the surface temperature and internal temperature of the asphalt mixture and establishing the second function includes the following steps:
[0078] S2.1 Measure the surface temperature of the asphalt mixture to be compacted at multiple points using an infrared temperature sensor;
[0079] Specifically, an infrared temperature sensor is installed at the front end of the road roller to obtain the surface temperature of the asphalt mixture within a certain range, and the surface temperature of the asphalt mixture to be compacted at multiple points is measured by the infrared temperature sensor.
[0080] S2.2 Measure the internal temperature of each point in the asphalt mixture to be compacted using an insertion thermometer;
[0081] S2.3. The second function is obtained by fitting the surface temperature and internal temperature of all points in the asphalt mixture.
[0082] Alternatively, to further explain the method of establishing the second function, the step of obtaining the functional relationship between the surface temperature and internal temperature of the asphalt mixture and establishing the second function includes the following steps:
[0083] S2.1 Measure the surface temperature of any point on the asphalt mixture to be compacted using an infrared temperature sensor;
[0084] S2.2 Measure the internal temperature of any point in the asphalt mixture to be compacted using an insertion thermometer;
[0085] S2.3 Calculate the temperature difference between the surface temperature and the internal temperature of the asphalt mixture to obtain the second function.
[0086] To further explain the specific method for obtaining the actual number of rotary compaction cycles, the method of obtaining the actual number of rotary compaction cycles based on the functional equivalence principle, using the standard rolling rate, the actual rolling rate, and the standard number of rotary compaction cycles, includes the following steps:
[0087] S5.1 Establish the equivalent proportional relationship between the number of rotary compaction cycles and the compaction rate of the compaction machinery when the asphalt mixture is at the same internal temperature, and obtain the equivalent proportional formula;
[0088] S5.2 Substitute the standard rolling rate, the actual rolling rate, and the standard number of rotary compaction cycles into the equivalent proportional formula to obtain the actual number of rotary compaction cycles.
[0089] It should be noted that the equivalent proportion formula is as follows:
[0090]
[0091] Wherein: n1 is the standard number of rotary compaction cycles; n2 is the actual number of rotary compaction cycles; v1 is the standard rolling rate; v2 is the actual rolling rate.
[0092] To further explain the specific method of the pressure replenishment operation, the pressure replenishment operation includes the following steps:
[0093] S6.1 Obtain the function relating the compaction degree of asphalt mixture to the number of compaction passes, and establish a third function;
[0094] S6.2 Substitute the actual compaction degree and the standard compaction degree into the third function to obtain the number of additional compaction passes, and perform additional compaction operation using the actual rolling rate and the number of additional compaction passes.
[0095] To further explain the specific method for establishing the third function, the process of obtaining the function relating the compaction degree of asphalt mixture to the number of compaction passes, and establishing the third function, includes the following steps:
[0096] S6.1.1 Obtain existing empirical data sets on compaction degree and number of compaction passes;
[0097] S6.1.2. The third function is obtained by fitting the existing empirical data set.
[0098] To further explain the specific method for obtaining the number of compaction passes, the step of substituting the actual compaction degree and the standard compaction degree into the third function to obtain the number of compaction passes includes the following steps:
[0099] S6.2.1 Substitute the standard compaction degree into the third function to obtain the standard compaction pass number;
[0100] S6.2.2 Substitute the actual compaction degree into the third function to obtain the actual number of compaction passes;
[0101] S6.2.3 Calculate the difference between the actual number of compaction passes and the standard number of compaction passes to obtain the additional compaction passes.
[0102] S6.2.4 If the compaction design value is met, proceed to the next area for compaction; otherwise, continue compaction in the current area until the requirements are met.
[0103] Example 1
[0104] Indoor rotary compaction tests were conducted on the asphalt mixture used at the asphalt pavement construction site of a certain section to obtain the relationship between the number of rotations (n) and the degree of compaction at different temperatures, as shown below. Figure 2 As shown, the fitting function compaction = f(n,T) is further fitted, and the fitting results and surface are as follows. Figure 3 As shown. Based on the correlation between the surface temperature of the existing asphalt mixture and the internal temperature of the mixture obtained by the insertion thermometer, the internal rolling temperature of the asphalt mixture in the field was calculated to be 160℃. At this temperature, the number of rotations n1 = 140 times is required for the compaction degree to meet the standard in the indoor rotary compaction test.
[0105] The fitting function expression is as follows:
[0106] P=f(n,T)=p00+p10×n+p01×T+p20×n2+p11×n×T+p02×T2+p30×n3+p21×n2×T+p12×n×T2+p03×T3(1);
[0107] p00=-75.62; p10=0.1059; p01=2.697;
[0108] p20=-0.008319; p11=0.006753; p02=-0.0166;
[0109] p30 = 5.627 × 10 -5 p21 = -2.335 × 10 -5 p12 = -1.225 × 10 -5 ;
[0110] p03 = 3.424 × 10 -5 .
[0111] The standard compaction rate of the compaction machinery was determined to be v1 = 3 m / min through the test section;
[0112] Based on the principle of energy equivalence under indoor and on-site construction conditions, namely: (Under the same temperature conditions)(2);
[0113] Further determine the on-site compaction rate v2 = 5 m / min, substitute it into equation (2) to obtain n2 = 84 times, and substitute n2 and the temperature T = 160℃ during on-site compaction as independent variables into (1) to obtain the compaction degree when the compaction rate is v2 under this temperature condition is about 93%.
[0114] Example 2
[0115] During the compaction process of asphalt pavement in a certain section, to achieve intelligent compaction, a rate sensor and an infrared temperature sensor were installed at the front end of the roller to obtain the roller's movement speed and the compaction temperature of the asphalt pavement surface in real time. Based on the correlation between the existing surface temperature of the asphalt mixture and the internal temperature of the mixture obtained by an insertion thermometer, the internal temperature T was calculated and transmitted in real time to the computer via 5G network technology for calculation of the compaction degree of the roller's rolling area. The standard compaction rate for asphalt pavement under standard compaction degree was determined on-site to be v1 = 3 m / min, and the current compaction rate was v2 = 5 m / min. Using the algorithm provided by this invention, the compaction degree was calculated to be approximately 93%, which did not meet the specification requirements. Therefore, an alarm was immediately triggered, and the current roller immediately performed a supplementary compaction operation to ensure that the compaction degree met the specification requirements before continuing to complete the work on other areas to be compacted.
[0116] Example 3
[0117] During the compaction process of asphalt pavement in a certain section, in order to achieve intelligent compaction of the asphalt pavement, the on-site standard compaction rate for the asphalt pavement was determined to be v1 = 3 m / min, and the current compaction rate was v2 = 5 m / min. Using the algorithm provided in this invention, the compaction degree was calculated to be approximately 93%, which does not meet the specification requirements. Based on existing data, the relationship between the number of compaction passes and the compaction degree under the current working conditions will be fitted using a function, the expression of which is: Y = 4.2116ln(x) + 90.349;
[0118] Where Y represents the degree of compaction and x represents the number of compaction passes.
[0119] Then, by substituting the current compaction degree, it is determined that when the standard compaction degree of 98% is reached, approximately 4 more compaction passes are required. The current roller will then perform 4 additional compaction passes to achieve the required compaction degree, and then proceed to other areas to be compacted to continue working.
[0120] The specific embodiments described above further illustrate the purpose, technical solution, and beneficial effects of the present invention. It should be understood that the above description is only a specific embodiment of the present invention and is not intended to limit the scope of protection of the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.
Claims
1. A smart compaction method for asphalt pavement, characterized in that, Includes the following steps: Indoor rotary compaction experiments were conducted to obtain the functional relationship between the compaction degree, the number of rotary compaction cycles, and the internal temperature of asphalt mixtures, and to establish the first function. Conduct on-site construction experiments to obtain the functional relationship between the surface temperature and internal temperature of asphalt mixtures, and establish a second function. Substitute the actual surface temperature of the asphalt mixture at the construction site into the second function to obtain the actual internal temperature of the asphalt mixture. Substitute the actual internal temperature into the first function to obtain the standard number of rotary compaction times when the compaction degree reaches the standard compaction degree. At the construction site, the standard compaction rate and actual compaction rate of the compaction machinery were obtained; Based on the principle of functional equivalence, the actual number of rotary compaction cycles is obtained by using the standard rolling rate, the actual rolling rate, and the standard number of rotary compaction cycles. Substituting the actual number of rotary compaction cycles and the actual internal temperature of the asphalt mixture at the construction site into the first function yields the actual compaction degree. When the actual compaction degree is greater than or equal to the standard compaction degree, the actual rolling rate is used for compaction. When the actual compaction degree is less than the standard compaction degree, additional compaction is performed.
2. The intelligent compaction method for asphalt pavement according to claim 1, characterized in that, The process of obtaining the functional relationship between the compaction degree, the number of rotary compaction cycles, and the internal temperature of the asphalt mixture, and establishing the first function, includes the following steps: Obtain multiple samples of asphalt mixture and measure the internal temperature of each sample. Indoor rotary compaction tests were conducted on each asphalt mixture to obtain datasets of the degree of compaction and the corresponding number of rotary compaction cycles at the corresponding internal temperatures. The first function is obtained by fitting the entire dataset.
3. The intelligent compaction method for asphalt pavement according to claim 2, characterized in that, The step of fitting the entire dataset to obtain the first function includes the following steps: By fitting the dataset corresponding to each asphalt mixture, data curves of compaction degree and number of rotary compaction times for each internal temperature were obtained; The first function is obtained by fitting all the data curves together.
4. The intelligent compaction method for asphalt pavement according to claim 1, characterized in that, The process of obtaining the functional relationship between the surface temperature and internal temperature of the asphalt mixture and establishing a second function includes the following steps: The surface temperature of the asphalt mixture to be compacted was measured at multiple points using an infrared temperature sensor. The internal temperature of each point in the asphalt mixture to be compacted was measured using an insertion thermometer. The second function is obtained by fitting the surface and internal temperatures of all points in the asphalt mixture.
5. The intelligent compaction method for asphalt pavement according to claim 4, characterized in that, The process of obtaining the functional relationship between the surface temperature and internal temperature of the asphalt mixture and establishing a second function includes the following steps: The surface temperature of any point in the asphalt mixture to be compacted is measured using an infrared temperature sensor. The internal temperature of the asphalt mixture to be compacted is measured at any point using an insertion thermometer. The second function is obtained by calculating the temperature difference between the surface temperature and the internal temperature of the asphalt mixture.
6. The intelligent compaction method for asphalt pavement according to claim 1, characterized in that, The step of obtaining the actual number of rotary compaction cycles based on the functional equivalence principle using the standard compaction rate, the actual compaction rate, and the standard number of rotary compaction cycles includes the following steps: An equivalent proportional relationship was established between the number of rotary compaction cycles and the compaction rate of the compaction machinery when the asphalt mixture is at the same internal temperature, and an equivalent proportional formula was obtained. Substituting the standard rolling rate, the actual rolling rate, and the standard number of rotary compaction cycles into the equivalent proportional formula yields the actual number of rotary compaction cycles.
7. The intelligent compaction method for asphalt pavement according to claim 6, characterized in that, The equivalent proportion formula is: in: n1 represents the standard number of rotary compaction cycles; n2 represents the actual number of rotary compaction cycles; v1 is the standard compaction rate; v2 is the actual compaction rate.
8. The intelligent compaction method for asphalt pavement according to claim 1, characterized in that, The pressure replenishment operation includes the following steps: Obtain the function relating the compaction degree of asphalt mixture to the number of compaction passes, and establish a third function; Substitute the actual compaction degree and the standard compaction degree into the third function to obtain the number of additional compaction passes, and perform the additional compaction operation using the actual rolling rate and the number of additional compaction passes.
9. The intelligent compaction method for asphalt pavement according to claim 8, characterized in that, The process of obtaining the function relating the compaction degree of asphalt mixture to the number of compaction passes, and establishing a third function, includes the following steps: Obtain existing empirical data sets on compaction degree and number of compaction passes; The third function is obtained by fitting the existing empirical data set.
10. The intelligent compaction method for asphalt pavement according to claim 8, characterized in that, The step of substituting the actual compaction degree and the standard compaction degree into the third function to obtain the number of additional compaction passes includes the following steps: Substituting the standard compaction degree into the third function yields the standard number of compaction passes; Substituting the actual compaction degree into the third function yields the actual number of compaction passes; The difference between the actual number of compaction passes and the standard number of compaction passes is calculated to obtain the additional compaction passes.
Citation Information
Patent Citations
Real-time asphalt road compactness monitoring method
CN103487351A
Test detection method for equivalent compaction function of asphalt mixture and application
CN106442058A