CN115436203B - Method and system for determining pre-maintenance time of asphalt pavement by utilizing hamburger ruts - Google Patents

Method and system for determining pre-maintenance time of asphalt pavement by utilizing hamburger ruts Download PDF

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CN115436203B
CN115436203B CN202210925249.8A CN202210925249A CN115436203B CN 115436203 B CN115436203 B CN 115436203B CN 202210925249 A CN202210925249 A CN 202210925249A CN 115436203 B CN115436203 B CN 115436203B
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aggregate
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崔培强
韦宁
屈庆余
郑松松
李逊
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Gezhouba Group Transportation Investment Co ltd
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Abstract

The invention discloses a method for determining asphalt pavement pre-maintenance time by utilizing hamburger ruts, which comprises the following steps: forming asphalt mixture by adopting a rotary compaction method, standing, initializing the rolling times n=0 of the asphalt mixture, judging whether the rolling times of the asphalt mixture reach a preset threshold value, if so, carrying out rolling test on the asphalt mixture subjected to standing treatment according to the set rolling times of the asphalt mixture by utilizing a Hamburg rutting tester to obtain the rutting depth h at the rolling rutting position of the asphalt mixture, and suspending the test to obtain the aggregate quality delta stripped from the surface of the asphalt mixture 1 By the aggregate quality delta 1 And obtaining the aggregate spalling coefficient of the asphalt mixture. The invention can solve the technical problems that the existing pre-curing opportunity determination method based on the technical condition detection of the asphalt pavement cannot embody the decay characteristic of the asphalt concrete material performance, has weak guidance and is very easy to miss the optimal curing opportunity due to high cost and long time span.

Description

Method and system for determining pre-maintenance time of asphalt pavement by utilizing hamburger ruts
Technical Field
The invention belongs to the technical field of asphalt pavement maintenance, and particularly relates to a method and a system for determining asphalt pavement pre-maintenance time by utilizing hamburger ruts.
Background
Although related specifications in China already prescribe materials and application technologies for pavement pre-curing, how to determine the pre-curing time of asphalt pavement is still a difficult matter. At present, three main current ways of determining the pre-curing time are provided, the first way is to perform technical condition detection on an asphalt pavement, and the pre-curing time is determined through the pavement damage index PCI, the attenuation rule of the pavement technical condition index PQI and the critical value; the second is a method for judging the maintenance timing of asphalt pavement as disclosed in chinese patent CN106592395a, which uses the flow property of aged asphalt to determine the maintenance timing; the third is a method for determining the best timing of preventive maintenance of asphalt pavement as disclosed in patent CN107741351B, which starts from the failure mechanism of asphalt mixture, and establishes a corresponding microscopic index as a judgment index of the best timing of preventive maintenance implementation.
However, the above methods have some non-negligible technical problems:
(1) In the first method described above, it is necessary to use a special road surface detecting instrument. However, the road technical condition is detected once a year at most, so that a lot of enterprises can extend road inspection to once a year due to insufficient cost, the time span is long, the problems can lead to too wide judgment of the pre-curing time and the decay characteristic of the asphalt concrete material performance can not be reflected, and the guidance is not strong, so that the best curing time is easily missed.
(2) The second method is excessively complicated, is only suitable for induction heating asphalt concrete containing steel wool fibers, is extremely small in application in China, is not representative, is easy to cause the problem of 'in a rough condition' only by performing a test on the flowability of aged asphalt in the asphalt concrete, and is not suitable for the actual service environment of the asphalt pavement.
(3) The third method needs to combine frequent CT equipment scanning with fatigue experiments, the judgment basis is complex, the method is difficult to implement in actual application, the experimental test environment and the actual service scene of the asphalt pavement have large differences, and the result is inaccurate.
Disclosure of Invention
Aiming at the defects or improvement demands of the prior art, the invention provides a method and a system for determining the pre-curing time of an asphalt pavement by utilizing a hamburg track, and aims to solve the technical problems that the prior pre-curing time determination method based on the detection of the technical condition of the asphalt pavement is difficult to implement in practical application, the experimental test environment and the actual service scene of the asphalt pavement have large difference, so that the result is inaccurate due to the fact that the decay characteristic of the performance of an asphalt concrete material cannot be reflected, the guidance is not strong, the optimal curing time is very easy to miss, the prior method for determining the curing time by utilizing the flowing property of aged asphalt is not suitable for the real service environment and the poor applicability of the asphalt pavement, and the prior method for realizing the failure mechanism based on the asphalt mixture is difficult to implement in practical application.
To achieve the above object, according to one aspect of the present invention, there is provided a method for determining a pre-maintenance timing of an asphalt pavement using a hamburger rut, comprising the steps of:
(1) Forming an asphalt mixture by adopting a rotary compaction method and standing;
(2) Initializing rolling times n=0 of the asphalt mixture;
(3) Judging whether the rolling times of the asphalt mixture reach a preset threshold value, if so, entering a step (6), otherwise, entering a step (4);
(4) According to the set rolling times of the asphalt mixture, using a hamburg rutting tester to conduct rolling test on the asphalt mixture subjected to standing treatment to obtain rutting depth h at the rolling rutting position of the asphalt mixture, and suspending the test to obtain aggregate quality delta stripped from the surface of the asphalt mixture 1 By the aggregate quality delta 1 Aggregate exfoliation coefficient α=δ for the asphalt mixture obtained 12 Wherein delta 2 The method comprises the steps of obtaining the total mass of the asphalt mixture and obtaining the anti-slip coefficient BPN of a rolling track of the asphalt mixture;
(5) Setting the rolling times n of the asphalt mixture to n=n+T, and returning to the step (3); wherein the value of T is S times of 10, and the value of S is E [1, 10].
(6) Obtaining a first relation diagram according to the obtained different rolling times and corresponding different anti-slip coefficients BPN, constructing a rolling times-anti-slip coefficient curve according to the first relation diagram by using an exponential function fitting method, and determining parameters in a fitting formula according to the constructed rolling times-anti-slip coefficient curve so as to obtain a rolling times-anti-slip coefficient fitting formula BPN=y0+a x EXP (-n/t 1); obtaining a second relation diagram according to the obtained different rolling times and the corresponding rut depth h, constructing a rolling times-rut depth curve according to the second relation diagram by using an exponential function fitting method, and determining parameters in a fitting formula according to the constructed rolling times-rut depth curve so as to obtain a rolling times-rut depth fitting formula h=y1+b x EXP (-n/t 2); obtaining a third relation diagram according to the obtained different rolling times and the corresponding aggregate peeling coefficients alpha, constructing a rolling times-aggregate peeling coefficient curve according to the third relation diagram by using a linear function fitting method, and determining parameters in a fitting formula according to the constructed rolling times-aggregate peeling coefficient curve so as to obtain a rolling times-aggregate peeling coefficient fitting formula alpha=c+d x n; wherein y0, y1, a, b, c, d, t1, t2 are fitting parameters.
(7) Obtaining corresponding rolling times in a rolling times-anti-slip coefficient curve, a rolling times-aggregate peeling coefficient curve and a rolling times-rut depth curve according to a lower limit value of a preset anti-slip coefficient, a lower limit value of a preset aggregate peeling coefficient and a lower limit value of a preset rut depth respectively, and taking the minimum value of the obtained three rolling times as a selected rolling times N;
(8) And (3) determining the pre-curing time of the asphalt pavement according to the rolling times N selected in the step (7), and ending the process.
Preferably, the molding process of step (1) is a molding operation according to an asphalt pavement production mix determined according to a target mix of asphalt pavement, and the standing process is at least 24 hours.
Preferably, the asphalt mixture is cylindrical, with a diameter of 150mm and a height of between 110 and 115 mm.
Preferably, the bath temperature for the hamburger rutting test is 50 ℃;
the slip coefficient BPN was obtained using a pendulum tribometer.
Preferably, if the peeling back bending point appears in the rolling time-rut depth curve in the step (7), taking the rolling time corresponding to the peeling back bending point as the selected rolling time N;
the lower limit of the preset slip resistance is 45, the lower limit of the preset aggregate spalling coefficient is 10%, and the lower limit of the preset rutting depth is 15 mm.
Preferably, the material composition of the asphalt pavement in step (8) is completely identical to the material composition of the asphalt mixture.
Preferably, the pre-maintenance timing of the asphalt pavement is when the accumulated vehicle flow S of the asphalt pavement reaches 0.17N, wherein the unit of the vehicle flow S is ten thousands.
According to another aspect of the present invention there is provided a system for determining asphalt pavement pre-maintenance opportunities using hamburger ruts, comprising:
the first module is used for forming the asphalt mixture by adopting a rotary compaction method and standing;
a second module for initializing the rolling times n=0 of the asphalt mixture;
the third module is used for judging whether the rolling times of the asphalt mixture reach a preset threshold value, if so, entering the sixth module, otherwise, entering the fourth module;
a fourth module for performing rolling test on the asphalt mixture subjected to standing treatment by using a hamburg rutting tester according to the set rolling times of the asphalt mixture to obtain rutting depth h at the rolling rutting position of the asphalt mixture, and suspending the test to obtain aggregate quality delta stripped from the surface of the asphalt mixture 1 By the aggregate quality delta 1 Aggregate exfoliation coefficient α=δ for the asphalt mixture obtained 12 Wherein delta 2 The method comprises the steps of obtaining the total mass of the asphalt mixture and obtaining the anti-slip coefficient BPN of a rolling track of the asphalt mixture;
a fifth module, configured to set the rolling times n of the asphalt mixture to n=n+t, and return to the third module; wherein the value of T is S times of 10, and the value of S is E [1, 10].
A sixth module, configured to obtain a first relationship diagram according to the obtained different rolling times and corresponding different anti-slip coefficients BPN, construct a rolling times-anti-slip coefficient curve according to the first relationship diagram and using an exponential function fitting method, and determine parameters in a fitting formula according to the constructed rolling times-anti-slip coefficient curve, thereby obtaining a rolling times-anti-slip coefficient fitting formula bpn=y0+a×exp (-n/t 1); obtaining a second relation diagram according to the obtained different rolling times and the corresponding rut depth h, constructing a rolling times-rut depth curve according to the second relation diagram by using an exponential function fitting method, and determining parameters in a fitting formula according to the constructed rolling times-rut depth curve so as to obtain a rolling times-rut depth fitting formula h=y1+b x EXP (-n/t 2); obtaining a third relation diagram according to the obtained different rolling times and the corresponding aggregate peeling coefficients alpha, constructing a rolling times-aggregate peeling coefficient curve according to the third relation diagram by using a linear function fitting method, and determining parameters in a fitting formula according to the constructed rolling times-aggregate peeling coefficient curve so as to obtain a rolling times-aggregate peeling coefficient fitting formula alpha=c+d x n; wherein y0, y1, a, b, c, d, t1, t2 are fitting parameters.
A seventh module, configured to obtain corresponding rolling times in the rolling times-anti-slip coefficient curve, the rolling times-aggregate peeling coefficient curve, and the rolling times-rut depth curve according to a lower limit value of a preset anti-slip coefficient, a lower limit value of a preset aggregate peeling coefficient, and a lower limit value of a preset rut depth, respectively, and take a minimum value of the obtained three rolling times as a selected rolling times N;
and an eighth module, configured to determine a pre-curing time of the asphalt pavement according to the number of rolling times N selected by the seventh module, and ending the process.
In general, the above technical solutions conceived by the present invention, compared with the prior art, enable the following beneficial effects to be obtained:
(1) According to the invention, as the steps (1) to (8) are adopted, the pre-curing time of the asphalt mixture is determined through the minimum rolling times N corresponding to the anti-slip coefficient, the rutting depth and the peeling coefficient, so that the technical problem of inaccurate curing time judgment in the existing first method can be solved;
(2) According to the invention, the material composition of the test object is completely the same as that of the corresponding asphalt pavement by adopting the steps (1) to (2), and the situations of asphalt pavement vehicle running, water damage and the like are simulated in the rolling process, so that the technical problems of narrow application range and inapplicability to all asphalt pavements in the conventional second method can be solved;
(3) According to the invention, as the steps (6) to (8) are adopted, the corresponding relation between the minimum rolling times N corresponding to the anti-slip coefficient, the rutting depth and the peeling coefficient and the accumulated traffic flow of the asphalt pavement already in service is established, and the pre-maintenance time of the asphalt pavement can be conveniently and rapidly determined, so that the technical problem that the accuracy is poor due to the fact that the actual operability is poor and the actual asphalt pavement service situation cannot be represented in the existing third method can be solved;
(4) The hamburger rut test can be carried out in a laboratory, and the accumulated vehicle flow of the corresponding asphalt pavement is public data, so that the hamburger rut test can be conveniently inquired and counted. Therefore, the asphalt mixture can be rapidly and accurately tested, the optimal curing time of the corresponding asphalt pavement can be obtained, and the method has the advantages of being strong in operability, good in reproducibility and the like, and can well guide preventive curing of asphalt pavements of different types.
Drawings
FIG. 1 is a schematic representation of the number of passes obtained for an AC-13 asphalt mix in step (7) of the method of the present invention;
FIG. 2 is a schematic representation of the number of passes obtained for an SMA-13 type asphalt mixture in step (7) of the method of the present invention;
FIG. 3 is an example of the results of the present invention in hamburger rutting experiments with peel and kick points;
fig. 4 is a flow chart of a method of determining asphalt pavement pre-maintenance timing using hamburger tracks in accordance with the present invention.
Detailed Description
The present invention will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present invention more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention. In addition, the technical features of the embodiments of the present invention described below may be combined with each other as long as they do not collide with each other.
The technical principle of the invention is as follows: the asphalt pavement can be influenced by factors such as vehicle load, rainwater, environmental temperature and the like after being constructed, and the performance of the asphalt pavement is gradually reduced when the vehicle wheel load is used. The performance degradation of the asphalt mixture is mainly reflected in the reduction of the anti-skid performance of the surface layer, the start of aggregate peeling and the occurrence of mild rutting diseases. These are all in the time frame of pre-curing of asphalt pavement. It is generally considered that the newly built asphalt pavement is subjected to completion acceptance two years after the completion acceptance, and at the moment, according to the requirements of JTG D50, highway asphalt pavement design Specification, the BPN of the asphalt pavement is required to be more than 45; in JTG/T5124 of China, the track depth smaller than 15mm is defined as a preventive maintenance category; in addition, the applicant has previously studied to find that preventive maintenance measures such as a cover surface can be developed when a small amount of aggregate falls off from the pavement, namely, when the aggregate flaking rate from the pavement is less than 10%. The hamburg rutting experiment requires that an asphalt mixture test piece is subjected to wheel grinding and hot water erosion in the test, and is a common method for testing the durability of the asphalt mixture. In summary, the hamburg rutting tester is utilized to test asphalt mixture, the anti-slip coefficient (swing value BPN is more than or equal to 4 (5), aggregate peeling coefficient (alpha is less than or equal to 10%) and rutting depth (h is less than or equal to 15mm or peeling and bending points appear) at the rolling rutting position of the asphalt mixture are used as technical indexes, the critical rolling times when three technical indexes are met simultaneously are obtained by utilizing the balance design concept, and then the critical rolling times are equivalent to actual asphalt pavement accumulated vehicle flow.
As shown in fig. 4, the invention discloses a method for determining asphalt pavement pre-maintenance time by utilizing hamburger ruts, which comprises the following steps:
(1) Forming an asphalt mixture by adopting a rotary compaction method and standing;
specifically, in the molding process of the step, molding operation is performed according to the asphalt pavement production mixing ratio, and the asphalt pavement production mixing ratio is determined according to the target mixing ratio of the asphalt pavement;
the asphalt mixture formed by adopting the rotary compaction method is cylindrical, the diameter is 150mm, and the height is 110-115 mm;
still further, the rest process in this step is at least 24 hours.
(2) Setting the rolling times n of the asphalt mixture, wherein the initial value of the rolling times n is 0;
it should be noted that 0 times of rolling represents a newly built state of the asphalt mixture, and 20000 times of rolling represents a state when the asphalt mixture is damaged;
(3) Judging whether the current rolling times of the asphalt mixture reach a preset threshold value, if so, entering a step (6), otherwise, entering a step (4);
specifically, the preset threshold in this step is an integer multiple of 10, and the maximum value thereof is 20000 times.
(4) According to the set rolling times of the asphalt mixture, using a hamburg rutting tester (the water bath temperature of the hamburg rutting test is 50 ℃) to perform rolling test on the asphalt mixture subjected to standing treatment, so as to obtain the rutting depth h of the rolling rutting position of the asphalt mixture, and suspending the test to obtain the aggregate quality delta stripped from the surface of the asphalt mixture 1 By the aggregate quality delta 1 Aggregate exfoliation coefficient α=δ for the asphalt mixture obtained 12 Wherein delta 2 The method comprises the steps of obtaining the total mass of the asphalt mixture and obtaining the anti-slip coefficient BPN (obtained by using a pendulum type friction meter) of a rolling track of the asphalt mixture;
(5) Setting the rolling times n of the asphalt mixture to n=n+T, and returning to the step (3);
specifically, in this step, the value of T is S times 10, and the value of S is E [1, 10].
(6) Obtaining a first relation diagram according to the obtained different rolling times and corresponding different anti-slip coefficients BPN, constructing a rolling times-anti-slip coefficient curve according to the first relation diagram by using an exponential function fitting method, and determining parameters in a fitting formula according to the constructed rolling times-anti-slip coefficient curve so as to obtain a rolling times-anti-slip coefficient fitting formula BPN=y0+a x EXP (-n/t 1); obtaining a second relation diagram according to the obtained different rolling times and the corresponding rut depth h, constructing a rolling times-rut depth curve according to the second relation diagram by using an exponential function fitting method, and determining parameters in a fitting formula according to the constructed rolling times-rut depth curve so as to obtain a rolling times-rut depth fitting formula h=y1+b x EXP (-n/t 2); obtaining a third relation diagram according to the obtained different rolling times and the corresponding aggregate peeling coefficients alpha, constructing a rolling times-aggregate peeling coefficient curve according to the third relation diagram by using a linear function fitting method, and determining parameters in a fitting formula according to the constructed rolling times-aggregate peeling coefficient curve so as to obtain a rolling times-aggregate peeling coefficient fitting formula alpha=c+d x n; wherein y0, y1, a, b, c, d, t1, t2 are fitting parameters.
(7) Obtaining corresponding rolling times in a rolling times-anti-slip coefficient curve, a rolling times-aggregate peeling coefficient curve and a rolling times-rut depth curve according to a lower limit value of a preset anti-slip coefficient, a lower limit value of a preset aggregate peeling coefficient and a lower limit value of a preset rut depth respectively, and taking the minimum value of the obtained three rolling times as a selected rolling times N; if an exfoliation and reverse bending point appears in the rolling times-rutting depth curve (as shown in fig. 3, the occurrence of the exfoliation and reverse bending point represents that the asphalt mixture is damaged in an accelerating way, and the best maintenance time is missed), taking the rolling times corresponding to the exfoliation and reverse bending point as the selected rolling times N, as shown in fig. 1 and 2;
specifically, the lower limit of the preset slip resistance is 45, the lower limit of the preset aggregate spalling coefficient is 10%, and the lower limit of the preset rut depth is 15 mm.
(8) And (3) determining the pre-curing time of the asphalt pavement according to the rolling times N selected in the step (7).
Specifically, the pre-curing timing of the asphalt pavement (the material composition of which is completely identical to the material composition of the asphalt mixture in the previous step) in this step is when the cumulative traffic flow (ten thousand vehicles) S of the asphalt pavement reaches 0.17N.
Example 1
The first step: preparation of samples
The information of the design grading and the oil stone ratio of the alkaline aggregate limestone and the modified asphalt are shown in the following table 1 by adopting the AC-13 type dense grading. Then, according to the manufacturing method (SGC method) of the T0736-2011 asphalt mixture rotary compaction test piece, a standard cylindrical asphalt mixture test piece is prepared by using a rotary compaction instrument, and the diameter of the test piece is measured to be 150mm, and the height of the test piece is measured to be 112mm.
TABLE 1 asphalt mixture grading and oil-stone ratio information
Figure GDA0003899128640000091
And a second step of: hamburger rut experiment
Placing the rotary compaction cylindrical test piece obtained in the first step in a water bath of a hamburger rut meter, preserving heat for 5 hours at 50 ℃, then rolling the cylindrical sample under the water bath condition at 50 ℃, suspending experiments for 0, 2000, 5000, 10000 and 20000 times, and carrying out experimental tests on the rolled sample.
And a third step of: determination of sample BPN
And (3) carrying out natural ventilation and standing on the sample subjected to rolling for 0, 2000, 5000, 10000 and 20000 times in the second step at room temperature for 48 hours to volatilize moisture in the test piece, and then using a pendulum type friction instrument to respectively test and record the pendulum value of the test piece. As the pendulum friction test is a nondestructive testing method, the test piece after the test can still continue to carry out the hamburger rut test.
TABLE 2 different cylindrical sample swing values
Figure GDA0003899128640000101
Fourth step: determination of sample aggregate spalling Rate
And (3) carrying out natural ventilation and standing on the sample after rolling for 0, 2000, 5000, 10000 and 20000 times in the second step for 48 hours at room temperature to volatilize the moisture of the test piece completely, and calculating the aggregate peeling rate according to the following formula, wherein the corresponding results are shown in Table 3.
α=δ 12
Wherein delta 1 The aggregate quality of stripping from the surface of the asphalt mixture test piece when rolling is suspended; delta 2 The total mass of the asphalt mixture test piece is obtained.
TABLE 3 aggregate exfoliation Rate after various times of Rolling for cylindrical samples
Figure GDA0003899128640000102
Fifth step: determination of specimen rut depth
The track depths after rolling for 0, 2000, 5000, 10000, 20000 times were read by using a displacement sensor of the hamburger track meter itself, and the corresponding results are shown in table 4.
TABLE 4 rut depth after different rolling times for cylindrical samples
Figure GDA0003899128640000103
Sixth step: determining a pre-curing opportunity
BPN20, rut depth and aggregate exfoliation rate data obtained in the experiments are plotted in a graph, and the corresponding results are shown in fig. 1.
As can be seen from FIG. 1, the fit correlation between the rolling times and the swing value, the peeling rate and the rut depth is good, and the fit correlation coefficient exceeds 0.9. The critical number of hamburger ruts is 14602.
Annual traffic statistics of the asphalt pavement corresponding to the asphalt mixture are shown in table 5. The asphalt pavement represented in table 5 is a highway with relatively heavy traffic capacity in the middle of Hubei province.
Table 5 annual vehicle flow statistics after asphalt pavement opening
Annual year Total flow (ten thousand vehicles) Growth rate
2014 686.0
2015 817.9 19.2%
2016 973.2 18.7%
2017 1348.2 38.9%
The latest time of the asphalt pavement, which needs to be timely subjected to preventive maintenance, can be obtained as the total accumulated traffic flow s=0.17×14602= 2482.34. At this time, the corresponding accumulated service time of the asphalt pavement is 2017 month 1 (because the total traffic of the asphalt pavement vehicles is 2477.1 ten thousand from 2014 to 2016; and the total traffic of the asphalt pavement vehicles can reach 2482.34 ten thousand in 2017 month 1), namely, the optimal maintenance time of the asphalt pavement is about 3 to 3 years, zero and 1 month after service.
Example 2
The asphalt mixture mineral aggregate composition referred to in example 2 was of SMA-13 type composition, the oil-stone ratio was set to 6.3%, and the diameter of the prepared test piece was measured to be 150mm and the height was measured to be 113mm.
TABLE 6 asphalt mixture grading and oil-stone ratio information
Figure GDA0003899128640000121
The swing value, the peeling rate and the rutting depth of the asphalt mixture test piece under different rolling times are respectively tested, and the results are shown in the following table:
table 7 test data of asphalt mixture in hamburger rutting tester
Figure GDA0003899128640000122
BPN20, rut depth and aggregate exfoliation rate data obtained in the experiments are plotted in the coordinate axes, and the corresponding results are shown in fig. 2.
As can be seen from FIG. 2, the fit correlation between the number of passes and the swing, spalling rate and rut depth is good, and the fit correlation coefficient exceeds 0.9. Since the SMA asphalt mixture has better durability, at the end of rolling, the peeling rate and rutting depth do not reach the lower limit, and therefore the critical rolling times are determined by the lower limit of the swing value and calculated to be 7961 times.
The annual traffic statistics of the asphalt pavement corresponding to the asphalt mixture are shown in table 8. The asphalt pavement represented in table 8 is a road surface which is connected with a certain expressway Hubei section in the north-south longitudinal direction of China and is reconstructed for opening traffic in 1 month of 2018.
Table 8 annual vehicle flow statistics after asphalt pavement is turned on
Figure GDA0003899128640000123
Figure GDA0003899128640000131
The latest time of the asphalt pavement, which needs to be timely subjected to preventive maintenance, can be obtained as the total accumulated traffic flow s=0.17×7961×10000= 1353.37. At this time, the corresponding accumulated service time of the asphalt pavement is 8 months in 2018 (since the asphalt pavement is opened in 1 month in 2018, the accumulated vehicle traffic volume can reach 1353.37 ten thousand at 8 months). Because the traffic volume of the asphalt pavement is unusually heavy, the asphalt pavement needs to be timely and prophylactically maintained to prevent diseases and ensure the service quality. And (3) comprehensively preventing economic benefit and other reasons, namely, the optimal maintenance time of the asphalt pavement is 8 months after service.
As can be seen from the two practical asphalt pavement embodiments, when the traffic flow is large after the asphalt pavement is in service, the preventive maintenance time of the asphalt pavement should be advanced; otherwise, the preventive maintenance time is correspondingly late. The method for determining the maintenance time of the asphalt pavement has strong combination with the actual asphalt pavement and strong practicability.
It will be readily appreciated by those skilled in the art that the foregoing description is merely a preferred embodiment of the invention and is not intended to limit the invention, but any modifications, equivalents, improvements or alternatives falling within the spirit and principles of the invention are intended to be included within the scope of the invention.

Claims (8)

1. A method for determining asphalt pavement pre-maintenance timing by utilizing hamburger ruts, which is characterized by comprising the following steps:
(1) Forming an asphalt mixture by adopting a rotary compaction method and standing;
(2) Initializing rolling times n=0 of the asphalt mixture;
(3) Judging whether the rolling times of the asphalt mixture reach a preset threshold value, if so, entering a step (6), otherwise, entering a step (4);
(4) According to the set rolling times of the asphalt mixture, using a hamburg rutting tester to conduct rolling test on the asphalt mixture subjected to standing treatment to obtain rutting depth h at the rolling rutting position of the asphalt mixture, and suspending the test to obtain aggregate quality delta stripped from the surface of the asphalt mixture 1 By the aggregate quality delta 1 Aggregate exfoliation coefficient α=δ for the asphalt mixture obtained 12 Wherein delta 2 The method comprises the steps of obtaining the total mass of the asphalt mixture and obtaining the anti-slip coefficient BPN of a rolling track of the asphalt mixture;
(5) Setting the rolling times n of the asphalt mixture to n=n+T, and returning to the step (3); wherein the value of T is S times of 10, and the value of S is E [1, 10];
(6) According to the obtained different rollsObtaining a first relation diagram according to the number of rolling times and corresponding different anti-slip coefficients BPN, constructing a rolling times-anti-slip coefficient curve according to the first relation diagram by using an exponential function fitting method, and determining parameters in a fitting formula according to the constructed rolling times-anti-slip coefficient curve, thereby obtaining a rolling times-anti-slip coefficient fitting formula BPN=y0+a EXP (-n/t 1); obtaining a second relation diagram according to the obtained different rolling times and the corresponding rut depth h, constructing a rolling times-rut depth curve according to the second relation diagram by using an exponential function fitting method, and determining parameters in a fitting formula according to the constructed rolling times-rut depth curve so as to obtain a rolling times-rut depth fitting formula h=y1+b x EXP (-n/t 2); obtaining a third relation diagram according to the obtained different rolling times and the corresponding aggregate peeling coefficients alpha, constructing a rolling times-aggregate peeling coefficient curve according to the third relation diagram by using a linear function fitting method, and determining parameters in a fitting formula according to the constructed rolling times-aggregate peeling coefficient curve so as to obtain a rolling times-aggregate peeling coefficient fitting formula alpha=c+d x n; wherein y0, y1, a, b, c, d, t1 and t2 are fitting parameters, rolling test is carried out on the asphalt mixture subjected to standing treatment by utilizing a hamburg rutting tester according to the set rolling times of the asphalt mixture so as to obtain the rutting depth h of a rolling rutting position of the asphalt mixture, and the test is suspended to obtain the aggregate quality delta stripped from the surface of the asphalt mixture 1 By the aggregate quality delta 1 Aggregate exfoliation coefficient α=δ for the asphalt mixture obtained 12 Wherein delta 2 Is the total mass of the asphalt mixture;
(7) Obtaining corresponding rolling times in a rolling times-anti-slip coefficient curve, a rolling times-aggregate peeling coefficient curve and a rolling times-rut depth curve according to a lower limit value of a preset anti-slip coefficient, a lower limit value of a preset aggregate peeling coefficient and a lower limit value of a preset rut depth respectively, and taking the minimum value of the obtained three rolling times as a selected rolling times N;
(8) And (3) determining the pre-curing time of the asphalt pavement according to the rolling times N selected in the step (7), and ending the process.
2. The method of determining asphalt pavement pre-curing timing using hamburger ruts according to claim 1, wherein the molding process of step (1) is a molding operation according to asphalt pavement production mix determined according to asphalt pavement target mix, and the standing process is at least 24 hours.
3. A method of determining the timing of pre-curing asphalt pavement using hamburger tracks according to claim 1 or 2 wherein the asphalt mixture is cylindrical with a diameter of 150mm and a height of between 110 and 115 mm.
4. The method for determining asphalt pavement pre-maintenance timing using hamburger ruts according to claim 1, wherein,
the water bath temperature of the hamburger rutting test is 50 ℃;
the slip coefficient BPN was obtained using a pendulum tribometer.
5. The method for determining asphalt pavement pre-maintenance timing by using hamburger ruts according to claim 1, wherein if the peeling back bending point appears in the rolling time-rut depth curve in the step (7), the rolling time corresponding to the peeling back bending point is taken as the selected rolling time N;
the lower limit of the preset slip resistance is 45, the lower limit of the preset aggregate spalling coefficient is 10%, and the lower limit of the preset rutting depth is 15 mm.
6. The method of determining asphalt pavement pre-maintenance timing using hamburger ruts according to claim 5, wherein the material composition of the asphalt pavement in step (8) is completely identical to the material composition of the asphalt mixture.
7. The method of determining asphalt pavement pre-maintenance timing using hamburger ruts according to claim 6, wherein the asphalt pavement pre-maintenance timing is when the accumulated traffic flow S of the asphalt pavement reaches 0.17N, wherein the unit of traffic flow S is ten thousand.
8. A system for determining asphalt pavement pre-maintenance opportunities using hamburger ruts, comprising:
the first module is used for forming the asphalt mixture by adopting a rotary compaction method and standing;
a second module for initializing the rolling times n=0 of the asphalt mixture;
the third module is used for judging whether the rolling times of the asphalt mixture reach a preset threshold value, if so, entering the sixth module, otherwise, entering the fourth module;
a fourth module for performing rolling test on the asphalt mixture subjected to standing treatment by using a hamburg rutting tester according to the set rolling times of the asphalt mixture to obtain rutting depth h at the rolling rutting position of the asphalt mixture, and suspending the test to obtain aggregate quality delta stripped from the surface of the asphalt mixture 1 By the aggregate quality delta 1 Aggregate exfoliation coefficient α=δ for the asphalt mixture obtained 12 Wherein delta 2 The method comprises the steps of obtaining the total mass of the asphalt mixture and obtaining the anti-slip coefficient BPN of a rolling track of the asphalt mixture;
a fifth module, configured to set the rolling times n of the asphalt mixture to n=n+t, and return to the third module; wherein the value of T is S times of 10, and the value of S is E [1, 10];
a sixth module, configured to obtain a first relationship diagram according to the obtained different rolling times and corresponding different anti-slip coefficients BPN, construct a rolling times-anti-slip coefficient curve according to the first relationship diagram and using an exponential function fitting method, and determine parameters in a fitting formula according to the constructed rolling times-anti-slip coefficient curve, thereby obtaining a rolling times-anti-slip coefficient fitting formula bpn=y0+a×exp (-n/t 1); obtaining a second relation diagram according to the obtained different rolling times and the corresponding rut depth h, constructing a rolling times-rut depth curve according to the second relation diagram by using an exponential function fitting method, and determining parameters in a fitting formula according to the constructed rolling times-rut depth curve so as to obtain the rollingThe number-rut depth fitting formula h=y1+b EXP (-n/t 2); obtaining a third relation diagram according to the obtained different rolling times and the corresponding aggregate peeling coefficients alpha, constructing a rolling times-aggregate peeling coefficient curve according to the third relation diagram by using a linear function fitting method, and determining parameters in a fitting formula according to the constructed rolling times-aggregate peeling coefficient curve so as to obtain a rolling times-aggregate peeling coefficient fitting formula alpha=c+d x n; wherein y0, y1, a, b, c, d, t1 and t2 are fitting parameters, rolling test is carried out on the asphalt mixture subjected to standing treatment by utilizing a hamburg rutting tester according to the set rolling times of the asphalt mixture so as to obtain the rutting depth h of a rolling rutting position of the asphalt mixture, and the test is suspended to obtain the aggregate quality delta stripped from the surface of the asphalt mixture 1 By the aggregate quality delta 1 Aggregate exfoliation coefficient α=δ for the asphalt mixture obtained 12 Wherein delta 2 Is the total mass of the asphalt mixture;
a seventh module, configured to obtain corresponding rolling times in the rolling times-anti-slip coefficient curve, the rolling times-aggregate peeling coefficient curve, and the rolling times-rut depth curve according to a lower limit value of a preset anti-slip coefficient, a lower limit value of a preset aggregate peeling coefficient, and a lower limit value of a preset rut depth, respectively, and take a minimum value of the obtained three rolling times as a selected rolling times N;
and an eighth module, configured to determine a pre-curing time of the asphalt pavement according to the number of rolling times N selected by the seventh module, and ending the process.
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