CN118392813A - Method for rapidly predicting fatigue life of asphalt mixture by adopting infrared spectrum - Google Patents
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- 239000010426 asphalt Substances 0.000 title claims abstract description 180
- 239000000203 mixture Substances 0.000 title claims abstract description 91
- 238000002329 infrared spectrum Methods 0.000 title claims abstract description 55
- 238000000034 method Methods 0.000 title claims abstract description 29
- 238000012360 testing method Methods 0.000 claims abstract description 63
- 239000000463 material Substances 0.000 claims abstract description 13
- 238000000605 extraction Methods 0.000 claims abstract description 8
- 235000019738 Limestone Nutrition 0.000 claims description 6
- 239000006028 limestone Substances 0.000 claims description 6
- 238000005452 bending Methods 0.000 claims description 5
- 208000007542 Paresis Diseases 0.000 claims description 2
- 208000012318 pareses Diseases 0.000 claims description 2
- 238000002360 preparation method Methods 0.000 claims description 2
- 239000010408 film Substances 0.000 claims 4
- 239000010409 thin film Substances 0.000 claims 1
- 238000001514 detection method Methods 0.000 abstract description 5
- 238000012423 maintenance Methods 0.000 abstract description 5
- 238000009661 fatigue test Methods 0.000 description 5
- 238000010438 heat treatment Methods 0.000 description 4
- 238000005259 measurement Methods 0.000 description 4
- 238000010998 test method Methods 0.000 description 4
- 238000013001 point bending Methods 0.000 description 3
- 238000009864 tensile test Methods 0.000 description 3
- 238000005033 Fourier transform infrared spectroscopy Methods 0.000 description 2
- 230000032683 aging Effects 0.000 description 2
- 230000007547 defect Effects 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 239000011159 matrix material Substances 0.000 description 2
- 230000008569 process Effects 0.000 description 2
- 238000004566 IR spectroscopy Methods 0.000 description 1
- 230000002411 adverse Effects 0.000 description 1
- 230000004075 alteration Effects 0.000 description 1
- 238000004458 analytical method Methods 0.000 description 1
- 125000003118 aryl group Chemical group 0.000 description 1
- QVGXLLKOCUKJST-UHFFFAOYSA-N atomic oxygen Chemical compound [O] QVGXLLKOCUKJST-UHFFFAOYSA-N 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 230000001808 coupling effect Effects 0.000 description 1
- 238000005336 cracking Methods 0.000 description 1
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- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 125000000524 functional group Chemical group 0.000 description 1
- 230000036541 health Effects 0.000 description 1
- 238000000691 measurement method Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000000465 moulding Methods 0.000 description 1
- 229910052760 oxygen Inorganic materials 0.000 description 1
- 239000001301 oxygen Substances 0.000 description 1
- 238000011056 performance test Methods 0.000 description 1
- 229920006395 saturated elastomer Polymers 0.000 description 1
- 239000002356 single layer Substances 0.000 description 1
- 239000000126 substance Substances 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
- G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
- G01N21/31—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
- G01N21/35—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infrared light
- G01N21/3563—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infrared light for analysing solids; Preparation of samples therefor
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N1/00—Sampling; Preparing specimens for investigation
- G01N1/28—Preparing specimens for investigation including physical details of (bio-)chemical methods covered elsewhere, e.g. G01N33/50, C12Q
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
- G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
- G01N21/31—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
- G01N21/35—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infrared light
- G01N21/3563—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infrared light for analysing solids; Preparation of samples therefor
- G01N2021/3572—Preparation of samples, e.g. salt matrices
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Abstract
The invention relates to the technical field of road engineering, in particular to a method for rapidly predicting the fatigue life of an asphalt mixture by adopting infrared spectrum, which comprises the following steps: obtaining an asphalt mixture sample; extracting asphalt materials from an asphalt mixture sample; preparing an asphalt film sample; testing an asphalt film sample through infrared spectrum to obtain infrared spectrum data; calculating the characteristic peak area of the asphalt film sample; and calculating the fatigue life of the asphalt mixture sample based on the fatigue life prediction model. According to the invention, an asphalt sample is obtained by a extraction method, the infrared spectrum characteristic peak area of the asphalt sample is calculated, and the fatigue life of the asphalt mixture can be rapidly predicted by substituting the infrared spectrum characteristic peak area into a fatigue life prediction model; the method has the characteristics of simple operation, short test period, accurate result and the like, can realize the rapid detection of the fatigue property of the asphalt pavement, and provides a reference for judging the pavement maintenance time, thereby improving the service level and the service durability of the asphalt pavement.
Description
Technical Field
The invention relates to the technical field of road engineering, in particular to a method for rapidly predicting the fatigue life of an asphalt mixture by adopting infrared spectroscopy.
Background
Asphalt pavement is used as a main expression form of high-grade highways in China, and is easy to generate fatigue cracking due to continuous vehicle load effect and coupling effect of adverse environmental factors such as light, oxygen, water and the like in the service process. On one hand, the travelling comfort of the pavement is reduced, the travelling safety is affected, and on the other hand, diseases such as pits, damages and the like are induced on the pavement, so that the service durability of the asphalt pavement is seriously affected. In view of this, many countries currently use fatigue life as a measure for evaluating the service health of asphalt pavement. Therefore, how to accurately predict the fatigue life of asphalt mixtures is a major concern in the current road engineering field.
The current fatigue life testing methods of asphalt mixtures can be generally divided into four types, including a field actual measurement method, a full-scale test method, a test panel test method and an indoor test method. The first three methods have the problems of high cost, complex test conditions, difficult control and the like, so that popularization and application are limited to a certain extent. In contrast, the indoor test method (including a direct tensile test, a four-point bending trabecular fatigue test, a splitting test, an indirect tensile test, a semicircular bending test and the like) is widely applied, but the method still has the defects of complicated test steps, long test period, strict test piece size requirements and the like. For example, the loading period of the four-point bending trabecula fatigue test is usually as long as several hours, and the height requirement of the pavement coring sample for the direct tensile test is far greater than the thickness of the single-layer pavement structure, so that the core sample cannot be directly used for indoor tests and the like. Therefore, there is a need to develop methods for rapidly and accurately predicting the fatigue life of asphalt mixtures.
Patent CN117310140a discloses a method for predicting fatigue life of asphalt pavement, by fitting data results of four-point trabecular bending tests under different test temperatures and strain levels, a fatigue life prediction model of asphalt mixture is obtained, but road traffic load parameters are required to be obtained for prediction; patent CN115713001a discloses a method for predicting fatigue life of asphalt mixture, which comprises performing a three-point bending fatigue test on an asphalt mixture test piece, and evaluating the fatigue life of the mixture by fitting a stress-strain hysteresis curve, but the problem of low test efficiency caused by overlong loading time of the fatigue test is still difficult to overcome; patent CN110987855A discloses a method for testing the aging degree of asphalt by using an infrared spectrometer, but no relation with the fatigue performance of asphalt mixture is established.
Aiming at the technical defects, the invention combines the infrared spectrum technology to test the fatigue performance. Fourier infrared (FTIR) detection techniques are now widely used in the asphalt field to analyze the major components of asphalt, including asphaltene, gum, aromatic components and saturated components, by detecting specific chemical bonds and functional groups of the asphalt. Such analysis can help to quickly determine the composition and age of the asphalt, thereby evaluating the quality and performance of the asphalt. When the grading type, the aggregate type and the like of the asphalt mixture are fixed, the aging degree of the asphalt is a determining factor influencing the fatigue performance of the asphalt mixture.
Disclosure of Invention
The invention provides a method for rapidly predicting the fatigue life of an asphalt mixture by adopting infrared spectrum, which can realize rapid detection of the fatigue performance of an asphalt pavement, has the advantages of simple detection, accurate result and the like, and provides a reference for judging pavement maintenance time.
In order to achieve the above purpose, the present invention provides the following technical solutions: a method for rapidly predicting the fatigue life of asphalt mixture by adopting infrared spectrum comprises the following steps,
S1, obtaining an asphalt mixture sample, wherein the sample meets specific size requirements;
s2, extracting asphalt materials from the asphalt mixture sample by adopting a extraction method;
s3, preparing an asphalt film sample by adopting an asphalt material;
s4, testing an asphalt film sample through infrared spectrum to obtain infrared spectrum data;
S5, calculating to obtain the characteristic peak area of the asphalt film sample in a wavelength interval of 1500cm -1～1650cm-1 according to the infrared spectrum data; to avoid test contingency, each specimen recommends repeating the test at least three times;
S6, calculating the fatigue life of the asphalt mixture sample based on the fatigue life prediction model of the characteristic peak area.
Preferably, in step S1, the asphalt mixture sample is obtained by laboratory preparation or engineering field pavement coring.
Preferably, in step S1, in the asphalt mixture sample, the aggregate type is limestone, the grading type is AC-13 grading, and the asphalt type used includes, but is not limited to, no. 70 asphalt, no. 90 asphalt, and SBS modified asphalt.
Preferably, in step S3, the pitch film sample has a diameter of 2mm.
Preferably, in step S4, the infrared spectrometer measurement parameters are: the test is carried out by adopting an ATR module, the resolution is 4.0cm -1, the scanning times of a range sample are 32, the background scanning times are 16, the scanning speed is 7.5KHz, and the wave number range is 4000cm -1～400cm-1.
Preferably, in step S6, the pares formula is improved and integrated, the expression for obtaining the fatigue life N f is deduced, and the relationship between the infrared spectrum characteristic peak area and the fatigue performance of the asphalt mixture is combined, so as to finally obtain the fatigue life prediction model of the asphalt mixture, which is specifically as follows:
The paris formula is modified and integrated,
It can be found that N f and N ' under the logarithmic scale have a linear relationship, and characteristic peak areas a and N ' in a 1500cm -1～1650cm-1 wavelength interval in an infrared spectrum result are fitted by MATLAB software, so that the characteristic peak areas a and N ' have a strong linear correlation, and the relationship between a and N ' is substituted into a relationship between N f and N ', so that an asphalt mixture fatigue life prediction model based on the characteristic peak areas a is finally obtained, wherein the fatigue life prediction model is as follows:
Nf＝100.0402A+4.13256
Wherein N f is the fatigue life of the asphalt mixture, and A is the characteristic peak area surrounded by the asphalt mixture corresponding to the extracted asphalt film sample in the wavelength range of 1500cm -1～1650cm-1.
Preferably, the actual measurement value of the fatigue life of the asphalt mixture sample is obtained by four-point trabecular bending test equipment, and the test parameters are as follows: the temperature is 25 ℃, the frequency is 10Hz, and the strain is 600 mu epsilon.
The invention provides a method for rapidly predicting the fatigue life of an asphalt mixture by adopting infrared spectrum, which has the following beneficial effects compared with the prior art:
according to the invention, an infrared spectrum technology is adopted to perform performance test on asphalt, no specific size requirement is required on the tested asphalt mixture, a laboratory molding sample and a pavement core sample can be tested, specifically, an asphalt sample is obtained through a extraction method, the infrared spectrum characteristic peak area is calculated, and the fatigue life of the asphalt mixture can be rapidly predicted by substituting a fatigue life prediction model; the method has the characteristics of simple operation, short test period, accurate result and the like, can realize the rapid detection of the fatigue property of the asphalt pavement, and provides a reference for judging the pavement maintenance time, thereby improving the service level and the service durability of the asphalt pavement.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this specification, illustrate embodiments of the application and together with the description serve to explain the application and do not constitute a limitation on the application. In the drawings:
FIG. 1 is a diagram of an FTIR test apparatus according to the present invention;
FIG. 2 is an infrared spectrum of the 70# matrix asphalt of the present invention;
FIG. 3is an infrared spectrum of a 90# matrix asphalt of the present invention;
FIG. 4 is an infrared spectrum of SBS modified asphalt of the present invention;
FIG. 5 is a schematic diagram of peak area of a wavelength interval of 1500cm -1～1650cm-1 of the calculated infrared spectrum according to the invention;
FIG. 6 is a graph of the fatigue life prediction results and actual measurement results of the asphalt mixture of the present invention.
Detailed Description
The following examples illustrate embodiments of the present application in detail, so that the implementation process of how the present application can be applied to solve the technical problems and achieve the technical effects can be fully understood and implemented.
Example 1
A method for rapidly predicting fatigue life of asphalt mixture by adopting infrared spectrum comprises the following steps:
S1, obtaining an asphalt mixture test piece for testing fatigue performance, wherein in the embodiment, a laboratory prepared asphalt mixture test piece is adopted, wherein the aggregate type in the asphalt mixture test piece is limestone, the grading type is AC-13 grading, and the used asphalt type is 70# asphalt.
S2, extracting asphalt materials for subsequent testing from the asphalt mixture sample by adopting a extraction method.
S3, heating the asphalt material to prepare an asphalt film sample for infrared spectrum testing, wherein the diameter of the asphalt film sample is about 2mm.
S4, testing the asphalt film sample through infrared spectrum to obtain infrared spectrum data, as shown in figure 1. The infrared spectrum test is carried out by adopting an ATR module, the resolution is 4.0cm -1, the scanning times of a range sample are 32, the background scanning times are 16, the scanning speed is 7.5KHz, the wave number range is 4000cm -1～400cm-1, and the infrared spectrum of the 70# asphalt is obtained, as shown in figure 2.
S5, calculating to obtain the characteristic peak area of the asphalt film sample in a wavelength interval of 1500cm -1～1650cm-1 by adopting OMNIC software according to infrared spectrum data; the calculation is schematically shown in fig. 5.
S6, calculating the fatigue life of the asphalt mixture sample based on the fatigue life prediction model of the characteristic peak area. Wherein, the fatigue life prediction model of the asphalt mixture has the following formula:
Nf＝100.0402A+4.13256
Wherein N f is the fatigue life of the asphalt mixture, and A is the characteristic peak area surrounded by the asphalt mixture corresponding to the extracted asphalt film sample in the wavelength range of 1500cm -1～1650cm-1.
Example 2
A method for rapidly predicting fatigue life of asphalt mixture by adopting infrared spectrum comprises the following steps:
S1, obtaining an asphalt mixture test piece for testing fatigue performance, wherein in the embodiment, a laboratory prepared asphalt mixture test piece is adopted, wherein the aggregate type in the asphalt mixture test piece is limestone, the grading type is AC-13 grading, and the used asphalt type is 90# asphalt.
S2, extracting asphalt materials for subsequent testing from the asphalt mixture sample by adopting a extraction method.
S3, heating the asphalt material to prepare an asphalt film sample for infrared spectrum testing, wherein the diameter of the asphalt film sample is about 2mm.
S4, testing the asphalt film sample through infrared spectrum to obtain infrared spectrum data, as shown in figure 1. The infrared spectrum test is carried out by adopting an ATR module, the resolution is 4.0cm -1, the scanning times of a range sample are 32, the background scanning times are 16, the scanning speed is 7.5KHz, the wave number range is 4000cm -1～400cm-1, and the infrared spectrum of 90# asphalt is obtained, as shown in figure 3.
And S5, calculating to obtain the characteristic peak area of the asphalt film sample in a wavelength range of 1500cm -1～1650cm-1 by adopting OMNIC software according to the infrared spectrum data.
S6, calculating the fatigue life of the asphalt mixture sample based on the fatigue life prediction model of the characteristic peak area. Wherein, the fatigue life prediction model of the asphalt mixture has the following formula:
Nf＝100.0402A+4.13256
Wherein N f is the fatigue life of the asphalt mixture, and A is the characteristic peak area surrounded by the asphalt mixture corresponding to the extracted asphalt film sample in the wavelength range of 1500cm -1～1650cm-1.
Example 3
A method for rapidly predicting fatigue life of asphalt mixture by adopting infrared spectrum comprises the following steps:
S1, obtaining an asphalt mixture test piece for testing fatigue performance, wherein in the embodiment, a laboratory prepared asphalt mixture test piece is adopted, wherein the aggregate type in the asphalt mixture test piece is limestone, the grading type is AC-13 grading, and the used asphalt type is SBS (I-D) modified asphalt.
S2, extracting asphalt materials for subsequent testing from the asphalt mixture sample by adopting a extraction method.
S3, heating the asphalt material to prepare an asphalt film sample for infrared spectrum testing, wherein the diameter of the asphalt film sample is about 2mm.
S4, testing the asphalt film sample through infrared spectrum to obtain infrared spectrum data, as shown in figure 1. The infrared spectrum test is carried out by adopting an ATR module, the resolution is 4.0cm -1, the scanning times of a range sample is 32, the background scanning times are 16, the scanning speed is 7.5KHz, the wave number range is 4000cm -1～400cm-1, and the infrared spectrum of the SBS modified asphalt is obtained, as shown in figure 4.
And S5, calculating to obtain the characteristic peak area of the asphalt film sample in a wavelength range of 1500cm -1～1650cm-1 by adopting OMNIC software according to the infrared spectrum data.
S6, calculating the fatigue life of the asphalt mixture sample based on the fatigue life prediction model of the characteristic peak area. Wherein, the fatigue life prediction model of the asphalt mixture has the following formula:
Nf＝100.0402A+4.13256
Wherein N f is the fatigue life of the asphalt mixture, and A is the characteristic peak area surrounded by the asphalt mixture corresponding to the extracted asphalt film sample in the wavelength range of 1500cm -1～1650cm-1.
Example 4
A method for rapidly predicting fatigue life of asphalt mixture by adopting infrared spectrum comprises the following steps:
S1, obtaining an asphalt mixture test piece for testing fatigue performance, wherein in the embodiment, a pavement coring asphalt mixture test piece is adopted, wherein the aggregate type in the asphalt mixture test piece is limestone, the grading type is AC-13 grading, and the used asphalt type is SBS modified asphalt.
S2, extracting asphalt materials for subsequent testing from the asphalt mixture sample by adopting a extraction method.
S3, heating the asphalt material to prepare an asphalt film sample for infrared spectrum testing, wherein the diameter of the asphalt film sample is about 2mm.
S4, testing the asphalt film sample through infrared spectrum to obtain infrared spectrum data, as shown in figure 1. The infrared spectrum test is carried out by adopting an ATR module, the resolution is 4.0cm -1, the scanning times of a range sample is 32, the background scanning times are 16, the scanning speed is 7.5KHz, the wave number range is 4000cm -1～400cm-1, and the infrared spectrogram of the SBS modified asphalt is obtained.
And S5, calculating to obtain the characteristic peak area of the asphalt film sample in a wavelength range of 1500cm -1～1650cm-1 by adopting OMNIC software according to the infrared spectrum data.
S6, calculating the fatigue life of the asphalt mixture sample based on the fatigue life prediction model of the characteristic peak area. Wherein, the fatigue life prediction model of the asphalt mixture has the following formula:
Nf＝100.0402A+4.13256
Wherein N f is the fatigue life of the asphalt mixture, and A is the characteristic peak area surrounded by the asphalt mixture corresponding to the extracted asphalt film sample in the wavelength range of 1500cm -1～1650cm-1.
Result verification
1. Substituting the characteristic peak area surrounded by the asphalt film sample prepared in the examples 1-3 in a wavelength interval of 1500cm -1～1650cm-1 into N f＝100.0402A+4.13256, and calculating to obtain a corresponding fatigue life predicted value; further, fatigue test was performed on the asphalt film samples prepared in examples 1 to 3, and actual measurement values of fatigue life were obtained. The measured value of the fatigue life of the asphalt mixture sample is obtained by four-point trabecula bending test equipment, and the test parameters are as follows: the temperature is 25 ℃, the frequency is 10Hz, and the strain is 600 mu epsilon. The specific results are shown in the following table.
TABLE 1 fatigue life
From the above table, in combination with fig. 6, it can be seen that: the correlation degree between the measured value and the predicted value is R 2 = 0.9966, which shows that the method for rapidly predicting the fatigue life of the asphalt mixture by adopting the infrared spectrum is accurate in prediction result.
2. The characteristic peak area surrounded by the asphalt film sample prepared in example 4 in the wavelength range of 1500cm -1～1650cm-1 is substituted into N f＝100.0402A+4.13256, and the corresponding fatigue life predicted value is calculated. The specific results are shown in the following table.
Table 2 fatigue life of pavement core samples
An appropriate maintenance scheme can be formulated according to the change of fatigue performance, and a reference can be provided for relevant maintenance units.
Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made therein without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (7)
1. A method for rapidly predicting fatigue life of asphalt mixture by adopting infrared spectrum is characterized by comprising the following steps:
S1, obtaining an asphalt mixture sample;
s2, extracting asphalt materials from the asphalt mixture sample by adopting a extraction method;
s3, preparing an asphalt film sample by adopting an asphalt material;
s4, testing an asphalt film sample through infrared spectrum to obtain infrared spectrum data;
s5, calculating to obtain the characteristic peak area of the asphalt film sample in a wavelength interval of 1500cm -1～1650cm-1 according to the infrared spectrum data;
S6, calculating the fatigue life of the asphalt mixture sample based on the fatigue life prediction model of the characteristic peak area.
2. The method for rapidly predicting fatigue life of asphalt mixture according to claim 1, wherein in step S1, the asphalt mixture sample is obtained by laboratory preparation or engineering site pavement coring.
3. The method for rapid prediction of asphalt mixture fatigue life according to claim 1, wherein in step S1, in the asphalt mixture sample, the aggregate type is limestone, the grading type is AC-13 grading, and the asphalt type used includes, but is not limited to, no. 70 asphalt, no. 90 asphalt, and SBS modified asphalt.
4. The method for rapidly predicting fatigue life of asphalt mixture according to claim 1, wherein the diameter of the asphalt thin film sample is 2mm in step S3.
5. The method for rapidly predicting fatigue life of asphalt mixture according to claim 1, wherein in step S4, the infrared spectrometer determines the parameters as follows: the test is carried out by adopting an ATR module, the resolution is 4.0cm -1, the scanning times of a range sample are 32, the background scanning times are 16, the scanning speed is 7.5KHz, and the wave number range is 4000cm -1～400cm-1.
6. The method for rapidly predicting the fatigue life of the asphalt mixture according to claim 1, wherein in the step S6, the pares formula is improved and integrated, the expression for obtaining the fatigue life N f is deduced, and the relationship between the infrared spectrum characteristic peak area and the fatigue performance of the asphalt mixture is combined to finally obtain the fatigue life prediction model of the asphalt mixture, wherein the following formula is obtained:
Nf＝100.0402A+4.13256
Wherein N f is the fatigue life of the asphalt mixture, and A is the characteristic peak area surrounded by the asphalt mixture corresponding to the extracted asphalt film sample in the wavelength range of 1500cm -1～1650cm-1.
7. The method for rapidly predicting the fatigue life of an asphalt mixture according to claim 1, wherein the measured value of the fatigue life of the asphalt mixture sample is obtained by a four-point trabecular bending test apparatus, and the test parameters are: the temperature is 25 ℃, the frequency is 10Hz, and the strain is 600 mu epsilon.
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