CN117310140A - Fatigue life prediction method for asphalt mixture layer of asphalt pavement - Google Patents
Fatigue life prediction method for asphalt mixture layer of asphalt pavement Download PDFInfo
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- 239000010426 asphalt Substances 0.000 title claims abstract description 194
- 239000000203 mixture Substances 0.000 title claims abstract description 107
- 238000000034 method Methods 0.000 title claims abstract description 17
- 238000012360 testing method Methods 0.000 claims abstract description 77
- 238000005452 bending Methods 0.000 claims abstract description 48
- 238000013461 design Methods 0.000 claims abstract description 32
- 238000005336 cracking Methods 0.000 claims abstract description 20
- 238000009661 fatigue test Methods 0.000 claims abstract description 14
- 238000013001 point bending Methods 0.000 claims abstract description 7
- 238000005303 weighing Methods 0.000 claims description 5
- 238000005259 measurement Methods 0.000 claims description 3
- 238000012423 maintenance Methods 0.000 abstract description 2
- 238000012545 processing Methods 0.000 abstract description 2
- 239000010410 layer Substances 0.000 description 100
- 239000002344 surface layer Substances 0.000 description 15
- 239000011800 void material Substances 0.000 description 14
- 101100257124 Caenorhabditis elegans sma-10 gene Proteins 0.000 description 1
- 239000011384 asphalt concrete Substances 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 239000004568 cement Substances 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 239000011159 matrix material Substances 0.000 description 1
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Abstract
The invention discloses a method for predicting the fatigue life of an asphalt mixture layer of an asphalt pavement, which belongs to the technical field of data processing and comprises the steps of preparing an asphalt mixture sample of an asphalt pavement structure fatigue life calculation layer; carrying out bending fatigue test on the asphalt mixture by using a trabecular four-point bending tester, testing the fatigue life of the asphalt mixture at different test temperatures and strain levels, and taking the average value of each test temperature and strain level combination in combination with the fatigue life test result to deduce a fatigue life prediction model based on different types of asphalt mixtures; and determining the fatigue cracking life model of the asphalt mixture layer according to parameters based on the fatigue life prediction models of different types of asphalt mixtures. According to the invention, the fatigue life prediction model of the asphalt layer of the pavement structure based on different asphalt mixtures is constructed, the fatigue life prediction of the asphalt mixture layer of the asphalt pavement of more than 30 years can be realized, and the accurate design and maintenance of the long-service-life asphalt pavement structure are facilitated.
Description
Technical Field
The invention discloses a fatigue life prediction method for an asphalt mixture layer of an asphalt pavement, and belongs to the technical field of data processing.
Background
The fatigue cracking of the asphalt mixture layer is one of main forms of structural damage of asphalt pavement, and an estimated life model of the fatigue cracking of the asphalt mixture layer is given in the current highway asphalt pavement design specification (JTG D50-2017) in China, and has the following two main problems: firstly, the fatigue model in the specification is established on the basis of experimental study of matrix asphalt mixtures, is not applicable to specific asphalt mixtures commonly used in the current highway, and is not a fatigue model for the specific asphalt mixtures; secondly, the service life of the structural design of the asphalt pavement in China is generally 15 years, and the existing asphalt pavement design specification (JTG D50-2017) asphalt layer fatigue prediction model of the highway can only be applied to the conventional asphalt pavement (15 years of design life), so that the long-life asphalt pavement (more than 30 years of design life) design cannot be realized.
Disclosure of Invention
The invention aims to provide a fatigue life prediction method for an asphalt mixture layer of an asphalt pavement, which aims to solve the problems that in the prior art, an asphalt mixture layer fatigue cracking life prediction model is not applicable and long-life prediction cannot be performed.
A fatigue life prediction method for an asphalt mixture layer of an asphalt pavement comprises the following steps:
s1, obtaining an asphalt pavement structure to be researched, and preparing an asphalt mixture sample of a fatigue life calculation layer;
s2, performing bending fatigue test on the specific asphalt mixture by using a trabecular four-point bending tester, and testing the fatigue life of the asphalt mixture at different test temperatures and strain levels;
s3, combining the fatigue life test results in the step S2, taking the average value of each test temperature and strain level combination, and deducing a fatigue life prediction model based on different types of asphalt mixtures;
s4, determining and calculating a structural layer asphalt mixture layer fatigue cracking life model according to parameters based on different asphalt mixture fatigue life prediction models, wherein the structural layer asphalt mixture layer fatigue cracking life model is used for predicting the asphalt layer fatigue life of an asphalt pavement structure;
s5, obtaining road traffic load parameters by using a field dynamic weighing system, and determining accumulated equivalent axle load action times N of a design lane in the design service life by referring to annex A in JTGD50-2017 of the highway asphalt road surface design Specification e ；
S6, judging whether the actual measurement accumulated traffic axle load action frequency is smaller than the fatigue cracking life N of the asphalt layer f 。
In S2, when the asphalt mixture is subjected to bending fatigue test, the number of samples is 27, 9 samples are respectively arranged at the temperature of 10 ℃, the temperature of 20 ℃ and the temperature of 30 DEG, the 9 samples at each test temperature are equally divided into 3 strain levels, and the test frequency is 10Hz.
In S2, the strain level satisfies the following condition:
(1) To make the fatigue life of all test pieces exceed 10 4 Sub-cycling;
(2) At each test temperature, 22% of the samples had a fatigue life exceeding 10 6 And twice.
S3, based on fatigue life prediction models of different types of asphalt mixtures:
wherein N is lab For the fatigue life (secondary) of the asphalt mixture when the test piece is broken in the bending fatigue test, E lab For the bending stiffness modulus (MPa) at the current test frequency and test temperature, ε is determined from the bending stiffness modulus principal curve lab Strain (mu epsilon), k for indoor bending fatigue test 1 ～k 5 Is a fitting parameter.
S3, carrying out bending stiffness modulus tests on different types of asphalt mixtures by using a trabecular four-point bending tester, testing the bending stiffness modulus of the asphalt mixtures at different test temperatures and loading frequencies, taking the average value of each test temperature and test frequency combination according to the bending stiffness modulus test result, and establishing a bending stiffness modulus main curve according to a time-temperature equivalent principle.
S4, the fatigue cracking life model of the asphalt mixture layer is as follows:
wherein N is f For fatigue life (secondary) of asphalt mixture layer, E d For the design of bending stiffness modulus (MPa), ε is the layer-by-layer bottom strain (με), k of the asphalt mixture 1 ～k 5 Is asphalt mixtureAnd the fitting parameter determined by the material fatigue life prediction model is beta which is a fatigue cracking reliability factor of the asphalt mixture layer, and is determined by the road grade and the traffic volume.
And S4, calculating and determining the layer-bottom bending tensile strain epsilon of the asphalt mixture by using pavement structure mechanics software, and inputting the design flexural modulus of the asphalt mixture of each asphalt layer into a mechanics calculation software BISAR3.0 according to the planned asphalt pavement structure to obtain a calculation value of the layer-bottom strain of the asphalt mixture.
Compared with the prior art, the invention constructs the pavement structure asphalt layer fatigue life prediction model based on different asphalt mixtures, can realize the prediction of the fatigue life of the asphalt pavement asphalt mixture layer for more than 30 years, and is beneficial to the accurate design and maintenance of the asphalt pavement structure.
Drawings
FIG. 1 is a plot of the bending stiffness modulus of SMA-13, AC-20, AC-25, and LSPM-25 asphalt mixtures at a baseline temperature of 20deg.C.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the present invention more apparent, the technical solutions in the present invention will be clearly and completely described below, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
A fatigue life prediction method for an asphalt mixture layer of an asphalt pavement comprises the following steps:
s1, obtaining an asphalt pavement structure to be researched, and preparing an asphalt mixture sample of a fatigue life calculation layer;
s2, performing bending fatigue test on the asphalt mixture by using a trabecular four-point bending tester, and testing the fatigue life of the specific asphalt mixture at different test temperatures and strain levels;
s3, combining the fatigue life test results in the step S2, taking the average value of each test temperature and strain level combination, and deducing a fatigue life prediction model based on different types of asphalt mixtures;
s4, determining and calculating a structural layer asphalt mixture layer fatigue cracking life model according to parameters based on different asphalt mixture fatigue life prediction models, wherein the structural layer asphalt mixture layer fatigue cracking life model is used for predicting the asphalt layer fatigue life of an asphalt pavement structure;
s5, obtaining road traffic load parameters by using a field dynamic weighing system, and determining accumulated equivalent axle load times Ne of a design lane in the design service life by referring to annex A in JTGD50-2017 of the highway asphalt road surface design specification;
s6, judging whether the actual measurement accumulated traffic axle load action times are smaller than the fatigue cracking life Nf of the asphalt layer.
In S2, when the asphalt mixture is subjected to bending fatigue test, the number of samples is 27, 9 samples are respectively arranged at the temperature of 10 ℃, the temperature of 20 ℃ and the temperature of 30 DEG, the 9 samples at each test temperature are equally divided into 3 strain levels, and the test frequency is 10Hz.
In S2, the strain level satisfies the following condition:
(1) To make the fatigue life of all test pieces exceed 10 4 Sub-cycling;
(2) At each test temperature, 22% of the samples had a fatigue life exceeding 10 6 And twice.
In S3, the fatigue life prediction model based on different types of asphalt mixtures is as follows:
wherein N is lab For the fatigue life (secondary) of the asphalt mixture when the test piece is broken in the bending fatigue test, E lab For the bending stiffness modulus (MPa) at the current test frequency and test temperature, ε is determined from the bending stiffness modulus principal curve lab Strain (mu epsilon), k for indoor bending fatigue test 1 ～k 5 Is a fitting parameter.
S3, carrying out bending stiffness modulus tests on different types of asphalt mixtures by using a trabecular four-point bending tester, testing the bending stiffness modulus of the asphalt mixtures at different test temperatures and loading frequencies, taking the average value of each test temperature and test frequency combination according to the bending stiffness modulus test result, and establishing a bending stiffness modulus main curve according to a time-temperature equivalent principle.
S4, the fatigue cracking life model of the asphalt mixture layer is as follows:
wherein N is f For fatigue life (secondary) of asphalt mixture layer, E d For the design of bending stiffness modulus (MPa), ε is the layer-by-layer bottom strain (με), k of the asphalt mixture 1 ～k 5 Fitting parameters determined for the asphalt mixture fatigue life prediction model, beta is an asphalt mixture layer fatigue cracking reliability factor, and is determined by road grade and traffic volume, as shown in table 1.
TABLE 1 fatigue crack reliability factor (. Beta.) for asphalt layers
And S4, calculating and determining the layer-bottom bending tensile strain epsilon of the asphalt mixture by using pavement structure mechanics software, and inputting the design flexural modulus of the asphalt mixture of each asphalt layer into a mechanics calculation software BISAR3.0 according to the planned asphalt pavement structure to obtain a calculation value of the layer-bottom strain of the asphalt mixture.
The bending stiffness modulus calculation includes:
B1. obtaining measured temperature field data of an asphalt pavement to be researched through a pavement structure temperature measuring device, obtaining calculation models of temperatures at different depths of the pavement by utilizing a least square method principle, and determining equivalent temperatures of all structure layers of the asphalt pavement as design temperatures;
B2. the method comprises the steps of obtaining the running speeds of heavy vehicles of all lanes of an expressway of an asphalt pavement to be researched through a traffic axle load dynamic test system, selecting a speed representative value as a heavy vehicle design speed, and determining the loading frequency of vehicle loads on an asphalt pavement target structure layer under the design speed;
B3. determining a calculation model of the bending stiffness modulus of the asphalt mixture at different temperatures and different loading frequencies according to the bending stiffness modulus main curve;
b4, inputting numerical values into a calculation model of the bending stiffness modulus of the asphalt mixture at different temperatures and different loading frequencies for calculation to obtain a test void ratio modulus;
B5. and adjusting the test void ratio modulus to the service void ratio modulus to complete the prediction of the bending stiffness modulus of the asphalt pavement.
The calculation model of the temperature at different depths of the pavement is as follows:
T′＝α 5 ×z 5 +α 4 ×z 4 +α 3 ×z 3 +α 2 ×z 2 +α 1 ×z+α 0
wherein T' is the field measured temperature (DEG C), alpha 5 、α 4 、α 3 、α 2 、α 1 、α 0 And z is the thickness (cm) of the asphalt surface layer and takes the layer bottom of the asphalt layer as a starting point.
The equivalent temperature of each structural layer of the asphalt surface layer is determined as the design temperature according to the following steps:
wherein T is di Is equivalent temperature (DEG C) of each structural layer of the asphalt surface layer, h i The thickness (cm) of each structural layer of the asphalt surface layer is i, i=1, 2,3 and … … n, which is the number of structural layers of the asphalt surface layer.
The loading frequency of the vehicle load to the target structural layer of the asphalt pavement under the design vehicle speed is determined according to the following steps:
wherein f d In order to design the loading frequency (Hz) of the vehicle load to the target structural layer of the asphalt pavement at the speed of the vehicle, h is the depth (cm) of the road surface downwards, and v is the heavy vehicle designSpeed (km/h) is measured.
The calculation model E of the bending stiffness modulus of the asphalt mixture at different temperatures and different loading frequencies is as follows:
wherein: alpha, beta, f c ，m，k，c 1 ，c 2 Is a model parameter, T ref The reference temperature was taken to be 20 ℃.
The modulus of void fraction in the asphalt mixture room test was adjusted to the predicted modulus as follows:
the loading frequency comprises at least 8 frequencies between 0.1Hz and 25Hz.
The test temperature includes at least 3 temperatures of 5 ℃, 10 ℃, 20 ℃, 30 ℃, 40 ℃ and 50 ℃.
Taking a newly built expressway in the south of Shandong province as an example, the fatigue life of the asphalt mixture layer of the asphalt pavement of the expressway is determined by adopting the method provided by the invention.
The pavement structure is a combined base asphalt concrete pavement structure, which sequentially comprises an asphalt layer, a flexible base layer, a base layer and a roadbed from top to bottom, wherein the thickness of the asphalt layer is 180mm, the asphalt layer sequentially comprises an upper layer, a middle surface layer and a lower surface layer from top to bottom, the thickness of the upper surface layer is 40mm, and the asphalt layer is paved by adopting modified SMA 13; the thickness of the middle surface layer is 60mm, and the middle surface layer is paved by adopting modified AC 20; the thickness of the lower layer is 80mm, and the lower layer is paved by adopting modified AC 25; the flexible base layer is 100mm thick large-particle-diameter water-permeability modified asphalt mixture LSPM25, and the base layer is three layers of 180mm cement stabilized macadam. The target reliability of the pavement structure was 97%.
Preparing an asphalt mixture sample, wherein the typical asphalt mixture service void ratio is as follows: AC-7, AC-10, AC-13 of 5.0%, AC-16, AC-20, and AC-25 of 7%, SMA-10, SMA-13, SMA-14 of 4.0%, LSPM-25 of 17.0%, EME-14 of 3.5%, and EME-20 of 4.5%. According to the invention, the test void ratio of the SMA-13 is 3%, the test void ratio of the AC-20 is 5.0%, the test void ratio of the AC-25 is 5.0%, and the test void ratio of the LSPM-25 is 15.0%.
Test temperatures were set at 5, 10, 20, 30, 40℃and test frequencies at each temperature were 0.1, 0.2, 0.5, 1, 5, 10, 20, 25Hz. The test results are shown in Table 2. A main curve of flexural stiffness modulus of the asphalt mixture for each structural layer of asphalt layer was established as shown in fig. 1.
TABLE 2 flexural stiffness modulus test results
According to the main curve of bending stiffness modulus of the asphalt mixture, a calculation model of bending stiffness modulus of the asphalt mixture of each structural layer of the asphalt layer at different temperatures and different loading frequencies is obtained, and the calculation model is as follows:
wherein: e (E) 1 Flexural stiffness modulus (MPa) for the upper layer SMA-13; t (T) 1 The equivalent temperature is the thickness of the upper layer; f (f) 1 Loading frequency (Hz) for the upper layer;
wherein: e (E) 2 Flexural stiffness modulus (MPa) for middle layer AC-20; t (T) 2 The equivalent temperature is the thickness of the upper layer; f (f) 2 Loading frequency (Hz) for the upper layer;
wherein: e (E) 3 Flexural stiffness modulus (MPa) for the underlying layer AC-25; t (T) 3 Equivalent temperature for the thickness of the lower layer; f (f) 3 Loading frequency (Hz) for the lower layer;
wherein: e (E) 4 Bending stiffness modulus (MPa) for the flexible base LSPM-25; t (T) 4 Equivalent temperature for the thickness of the flexible base layer; f (f) 4 Loading frequency (Hz) for the lower layer;
the equivalent temperature of each structural layer of the asphalt pavement is determined as follows:
wherein: t (T) d1 The equivalent temperature of the SMA-13 layers of the upper layer is z, which is the thickness coordinate of the asphalt surface layer, and the origin is provided with the bottom (cm) of the asphalt layer;
wherein: t (T) d2 The equivalent temperature of the middle surface layer AC-20 layers is z, the thickness coordinate of the asphalt surface layer is z, and the origin is provided with the bottom (cm) of the asphalt layer;
wherein: t (T) d3 For the equivalent temperature of the lower layer AC-25 layers, z is the thickness coordinate of the asphalt surface layer, and the origin is provided with the asphalt layer bottom (cm);
wherein: t (T) d4 For flexible base layer LSPM-25 layers of equivalent temperature, z is the thickness coordinate of the asphalt surface layer, and the origin is provided with the asphalt layer bottom (cm);
the thickness equivalent temperatures of the upper layer, the middle layer, the lower layer and the flexible base layer of the asphalt pavement structure are calculated to be 50.5 ℃, 47.5 ℃, 43.3 ℃ and 35.2 ℃ respectively.
The on-site dynamic weighing system is arranged on the road surface of the asphalt pavement, the design speed of the heavy truck is 100km/h, and the loading frequencies of the upper layer, the middle layer, the lower layer and the flexible base layer of the asphalt pavement structure are respectively 12Hz, 10Hz, 7Hz and 6.5Hz.
The flexural stiffness moduli of SMA-13, AC-20, AC-25 and LSPM-25 at the design temperature and the heavy vehicle design speed were determined to be 1287MPa, 2662MPa, 2272MPa and 2307MPa, respectively, according to the calculation model of the flexural stiffness modulus of the asphalt mixture.
And adjusting the test void ratio moduli of the SMA-13, the AC-20, the AC-25 and the LSPM-25 to service void ratio moduli, wherein the test void ratio of the SMA-13, the AC-20, the AC-25 and the LSPM-25 is respectively 3%, 5.0% and 15%, and the service void ratio of engineering implementation is respectively 4.0%, 7% and 17%, so that the service void ratio moduli of the SMA-13, the AC-20, the AC-25 and the LSPM-25 are respectively 1216MPa, 2329MPa, 1988MPa and 1538MPa.
LSPM-25 asphalt mixture was prepared, bending fatigue test was performed with the number of samples being 27, 9 samples were set for each of the three test temperatures of 10 ℃, 20 ℃ and 30 ℃, and the 9 samples for each test temperature were equally divided into 3 strain levels with a test frequency of 10Hz. The test results are shown in table 3:
TABLE 3 flexural fatigue test results for asphalt mixtures
| Test piece | Temperature (T) (. Degree.C) | Strain amplitude (∈) lab ) | Number of fatigue failure (N) lab ) |
| 1 | 10 | 130 | 1,127,940 |
| 2 | 10 | 130 | 2,199,483 |
| 3 | 10 | 130 | 1,240,735 |
| 4 | 10 | 180 | 281,429 |
| 5 | 10 | 180 | 201,021 |
| 6 | 10 | 180 | 408,072 |
| 7 | 10 | 280 | 57,992 |
| 8 | 10 | 280 | 19,330 |
| 9 | 10 | 280 | 15,465 |
| 10 | 20 | 170 | 504,219 |
| 11 | 20 | 170 | 1,232,537 |
| 12 | 20 | 170 | 784,342 |
| 13 | 20 | 200 | 236,754 |
| 14 | 20 | 200 | 184,668 |
| 15 | 20 | 200 | 497,184 |
| 16 | 20 | 300 | 27,607 |
| 17 | 20 | 300 | 138,034 |
| 18 | 20 | 300 | 49,692 |
| 19 | 30 | 200 | 1,945,031 |
| 20 | 30 | 200 | 1,264,271 |
| 21 | 30 | 200 | 4,862,575 |
| 22 | 30 | 380 | 64,794 |
| 23 | 30 | 380 | 143,842 |
| 24 | 30 | 380 | 90,711 |
| 25 | 30 | 450 | 34,380 |
| 26 | 30 | 450 | 26,446 |
| 27 | 30 | 450 | 50,248 |
According to the test results in the table, the fatigue prediction model of the LSPM-25 mixture is obtained as follows:
the fatigue life prediction model of the asphalt layer of the asphalt pavement structure is as follows:
and determining that the fatigue cracking reliability factor of the asphalt mixture layer is 9.0 according to the road grade and the target reliability of the road surface structure.
The flexural tensile strain epsilon of the layer bottom of the pavement structure asphalt mixture layer is 29.4 mu epsilon obtained through BISAR3.0 calculation of pavement structure mechanics software, and then the fatigue life of the pavement structure asphalt layer is as follows:
road traffic load parameters are obtained by utilizing a field dynamic weighing system, and the accumulated equivalent axle load times Ne of a design lane in 15 years and 30 years of design service life are respectively 4.2 multiplied by 10 by referring to annex A in JTGD50-2017 of highway asphalt road surface design Specification 7 And 1.21×10 8 Is smaller than the fatigue life of the asphalt layer of the asphalt pavement structure.
The above embodiments are only for illustrating the technical aspects of the present invention, not for limiting the same, and although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may be modified or some or all of the technical features may be replaced with other technical solutions, which do not depart from the scope of the technical solutions of the embodiments of the present invention.
Claims (7)
1. The fatigue life prediction method for the asphalt mixture layer of the asphalt pavement is characterized by comprising the following steps of:
s1, obtaining an asphalt pavement structure to be researched, and preparing an asphalt mixture sample of a fatigue life calculation layer;
s2, performing bending fatigue test on the asphalt mixture by using a trabecular four-point bending tester, and testing the fatigue life of the asphalt mixture at different test temperatures and strain levels;
s3, combining the fatigue life test results in the step S2, taking the average value of each test temperature and strain level combination, and deducing a fatigue life prediction model based on different types of asphalt mixtures;
s4, determining and calculating a structural layer asphalt mixture layer fatigue cracking life model according to parameters based on different asphalt mixture fatigue life prediction models, wherein the structural layer asphalt mixture layer fatigue cracking life model is used for predicting the asphalt layer fatigue life of an asphalt pavement structure;
s5, acquiring road surface traffic load parameters by utilizing a field dynamic weighing system, and determining accumulated equivalent axle load action times N of a designed lane in the designed service life e ；
S6, judging whether the actual measurement accumulated traffic axle load action frequency is smaller than the fatigue cracking life N of the asphalt layer f 。
2. The method for predicting fatigue life of asphalt mixture layer on asphalt pavement according to claim 1, wherein in S2, when the asphalt mixture is subjected to bending fatigue test, the number of samples is 27, 9 samples are respectively set at three test temperatures of 10 ℃, 20 ℃ and 30 ℃, the 9 samples at each test temperature are equally divided into 3 strain levels, and the test frequency is 10Hz.
3. The method for predicting the fatigue life of an asphalt mixture layer of an asphalt pavement according to claim 2, wherein in S2, the strain test level adopted satisfies the following conditions:
to make the fatigue life of all test pieces exceed 10 4 Secondary times;
at each test temperature, 22% of the samples had a fatigue life exceeding 10 6 And twice.
4. The method for predicting fatigue life of asphalt mixture layer of asphalt pavement according to claim 3, wherein in S3, the fatigue life prediction model based on different types of asphalt mixtures is:
wherein N is lab The unit of the fatigue life of the asphalt mixture when the test piece is broken is secondary, E lab For the bending stiffness modulus at the current test frequency and test temperature, the unit is MPa, the bending stiffness modulusDetermining a principal curve of the quantity epsilon lab The unit of strain is mu epsilon, k for the indoor bending fatigue test 1 ～k 5 Is a fitting parameter.
5. The method for predicting the fatigue life of an asphalt mixture layer of an asphalt pavement according to claim 4, wherein in the step S3, bending stiffness modulus tests are carried out on asphalt mixtures of different types by using a trabecular four-point bending tester, bending stiffness modulus of the asphalt mixtures at different test temperatures and loading frequencies are tested, and a bending stiffness modulus main curve is established according to a time-temperature equivalent principle by taking an average value of each test temperature and test frequency combination in combination with a bending stiffness modulus test result.
6. The method for predicting the fatigue life of an asphalt mixture layer of an asphalt pavement according to claim 5, wherein in S4, the fatigue cracking life model of the asphalt mixture layer is:
wherein N is f The unit is secondary, E is fatigue life of asphalt mixture layer d For the design of bending stiffness modulus, the unit is MPa, epsilon is the layer-by-layer bottom tension strain of asphalt mixture, and the unit is mu epsilon, k 1 ～k 5 And the fitting parameters are determined for the asphalt mixture fatigue life prediction model, and beta is the fatigue cracking reliability factor of the asphalt mixture layer, and are determined by the road grade and the traffic volume.
7. The method for predicting the fatigue life of an asphalt mixture layer of an asphalt pavement according to claim 6, wherein in S4, the bending tensile strain epsilon of the asphalt mixture layer bottom is calculated and determined by pavement structure mechanics software, and according to the proposed asphalt pavement structure, the design bending modulus of the asphalt mixture of each asphalt layer is input into mechanics calculation software BISAR3.0 to obtain the calculated value of the asphalt mixture layer bottom strain.
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