CN107741351B - A kind of determination method of bituminous pavement preventive maintenance best opportunity - Google Patents

A kind of determination method of bituminous pavement preventive maintenance best opportunity Download PDF

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CN107741351B
CN107741351B CN201710982865.6A CN201710982865A CN107741351B CN 107741351 B CN107741351 B CN 107741351B CN 201710982865 A CN201710982865 A CN 201710982865A CN 107741351 B CN107741351 B CN 107741351B
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test
preventive maintenance
fatigue
sample
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CN107741351A (en
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李雪连
陈宇亮
刘雪莹
李章闯
王文强
彭宇
吕新潮
杨乐
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Changsha University of Science and Technology
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N3/00Investigating strength properties of solid materials by application of mechanical stress
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N1/00Sampling; Preparing specimens for investigation
    • G01N1/02Devices for withdrawing samples
    • G01N1/04Devices for withdrawing samples in the solid state, e.g. by cutting
    • G01N1/08Devices for withdrawing samples in the solid state, e.g. by cutting involving an extracting tool, e.g. core bit
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N23/00Investigating or analysing materials by the use of wave or particle radiation, e.g. X-rays or neutrons, not covered by groups G01N3/00 – G01N17/00, G01N21/00 or G01N22/00
    • G01N23/02Investigating or analysing materials by the use of wave or particle radiation, e.g. X-rays or neutrons, not covered by groups G01N3/00 – G01N17/00, G01N21/00 or G01N22/00 by transmitting the radiation through the material
    • G01N23/04Investigating or analysing materials by the use of wave or particle radiation, e.g. X-rays or neutrons, not covered by groups G01N3/00 – G01N17/00, G01N21/00 or G01N22/00 by transmitting the radiation through the material and forming images of the material
    • G01N23/046Investigating or analysing materials by the use of wave or particle radiation, e.g. X-rays or neutrons, not covered by groups G01N3/00 – G01N17/00, G01N21/00 or G01N22/00 by transmitting the radiation through the material and forming images of the material using tomography, e.g. computed tomography [CT]
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
    • G01N33/42Road-making materials
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N2203/00Investigating strength properties of solid materials by application of mechanical stress
    • G01N2203/0058Kind of property studied
    • G01N2203/0069Fatigue, creep, strain-stress relations or elastic constants
    • G01N2203/0073Fatigue
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N2223/00Investigating materials by wave or particle radiation
    • G01N2223/60Specific applications or type of materials
    • G01N2223/614Specific applications or type of materials road surface

Abstract

The invention discloses the determination methods of bituminous pavement preventive maintenance best opportunity a kind of, set about from the thin sight level of asphalt, for the practical duty status of bituminous pavement, the microscopic damage of bituminous pavement is evaluated, determine that asphalt enters the criterion of rapid damage phase, the relationship of microcrack development and Asphalt Pavement Damage development, determines the best opportunity for implementing preventive maintenance inside bound bitumen pavement structure.The present invention is from the failure mechanism of asphalt, establish the corresponding thin Judging index seen index and implement the best opportunity as preventive maintenance, relative to Life Cycle Assessment method, benefit costs Evaluation Method, decision tree method, ranking method, based on the methods of method, riding quality index and the destructing index method of road conditions (PCI) or time and method based on aging, the present invention has stronger specific aim and originating property, quantification of targets, accuracy is higher, and operability is more preferable.

Description

A kind of determination method of bituminous pavement preventive maintenance best opportunity
Technical field
The invention discloses the determination methods of bituminous pavement preventive maintenance best opportunity a kind of;Belong to asphalt pavement structure Property disease damage cycle evaluation technical field.
Background technique
Bituminous pavement preventive maintenance refers to based on asphalt pavement technique in order the item of structural disease do not occur The active maintenance measure taken under part;Structural disease refers to that the obvious deformation such as large-scale crack, track, passage occurs in bituminous pavement The serious damage generated with other removings, check crack, cracking, minister in ancient times's mud etc. by crack and water collective effect.
Currently, the research in terms of the determination method on preventive maintenance opportunity has much both at home and abroad, achieve it is more at Fruit, representative method mainly have: Life Cycle Assessment method, decision tree method, ranking method, is based on benefit costs Evaluation Method Road conditions (PCI) or the method for time, riding quality index and destructing index method and the method etc. based on aging.
Preventive maintenance is to be based on asphalt pavement technique in order, does not occur adopting under conditions of structural disease The active maintenance measure that takes and the determination method on above-mentioned bituminous pavement preventive maintenance opportunity is built upon macro-indicators basis On, since macro-indicators are difficult to reflect the early stage internal injury evolution features on road surface.Therefore, asphalt road is determined using macro-indicators The reasonability on face preventive maintenance opportunity is up for further discussing.Up to now, it has no by research asphalt pavement structure The microscopic damage in portion and the relationship of the pavement disease rule of development, determine the public affairs of the method for bituminous pavement preventive maintenance best opportunity Open report.
Summary of the invention
It is an object of the invention to overcome the deficiency of the prior art, provides a kind of method and is simple and convenient to operate, can quantify to comment Valence index, the determination method of the evaluation bituminous pavement preventive maintenance best opportunity that accuracy is higher, operability is good.
A kind of determination method of bituminous pavement preventive maintenance best opportunity of the present invention, includes the following steps:
Step 1: sampling
Test sample and reference sample are drilled through respectively in the quasi- object section for carrying out preventive maintenance;
Step 2: reference sample limit cleavage strength data acquire
Splitting ultimate strength test is carried out to reference sample, obtains the limit cleavage strength of reference sample;
Step 3: test sample primary fine sees structured data acquisition and processing
A test sample is taken, along its axial direction every 1-10mm, carries out a CT tomoscan, obtains test sample original Beginning microscopical structure image;
Selection is located at 5-20 section among test sample, with image analysis software CT corresponding to these sectional positions Primary fine is seen structural images and is handled, and the intensity profile histogram that each primary fine sees structure C T image is obtained;Schemed according to CT The intensity profile histogram of picture extracts crack and hole in image by thresholding method, carries out binaryzation to image, draws every The intensity profile figure of image after the binaryzation of a scanning cross-section;Read the intensity profile figure of image after each scanning cross-section binaryzation In 1 or 0 gray value frequency P01、P02、……P0i(i=1,2,3 ..., j);To frequency P01~P0iIt averages, obtains not Frequency average value under stress state
Step 4: the acquisition of test sample first time load test data and processing
The test sample of third step is subjected to splitting fatigue test, when test sample deformation 0.2-2mm every along loading direction Or at fatigue loading 100-4000 times, by the interval and position of third step CT tomoscan, a CT tomoscan is carried out, is obtained Test sample microscopical structure image when loading for the first time;
The CT image for choosing section same position section selected by third step, carefully sees knot to test sample with image analysis software The CT image of structure is handled, and the intensity profile histogram of each microscopical structure CT image is obtained;According to the gray scale of CT image point Cloth histogram extracts crack and hole in image by thresholding method, carries out binaryzation to image, draw each scanning cross-section Binaryzation after image intensity profile figure;Read after each scanning cross-section binaryzation 1 or 0 gray scale in the intensity profile figure of image The frequency P of value11、P12、……P1i(j of i=1,2,3 ...);To frequency P11-P1iIt averages, obtains first time stress state Under frequency average value
Step 5: repeating the 4th step, identical fatigue load is applied to same sample, splitting fatigue test is carried out, works as test When sample deformation 0.2-2mm every along loading direction or at fatigue loading 100-4000 times, a CT scan is carried out, until sample is sent out The frequency of raw fatigue rupture, 1 or 0 gray value after respectively obtaining same test sample from the 1st time to n-th fatigue loading is average ValueFatigue life N when fatigue rupture occurs for (m of n=1,2,3 ...) and samplef1
Step 6: fatigue loading number is abscissa using frequency as ordinate, fatigue loading number-frequency curve is drawn; Secondary derivation is carried out to curve, reads corresponding abscissa value N when curve second derivative is 0;
Step 7: being handled by third step to the 6th step each test sample, each test examination is respectively obtained The N of sample1、N2……NRAnd Nf1、Nf2……NfR(Q of R=1,2,3 ...);It calculates under splitting fatigue experimental condition, sample fatigue adds Carry the average value of times NWith average fatigue life
Step 8: the determination of best preventive maintenance time T
T is the design period (year) of highway.
In a kind of determination method of bituminous pavement preventive maintenance best opportunity of the present invention, test sample is in object section Wheel path, deformed depression position have generated the position of naked eyes visible crack and have drilled through;Reference sample is drilled through in road shoulder.
In a kind of determination method of bituminous pavement preventive maintenance best opportunity of the present invention, test sample quantity of sampling quantity is at least 8;Reference sample quantity of sampling quantity at least four.
In a kind of determination method of bituminous pavement preventive maintenance best opportunity of the present invention, in second step, the splitting limit is strong Degree test, according to " highway engineering pitch and Asphalt Mixture Experiment regulation " (E20-2011 JTG).
In a kind of determination method of bituminous pavement preventive maintenance best opportunity of the present invention, in the 4th step, test is used and is answered Power control mode, stress level 0.2-0.5, loading frequency 10Hz, loading mode are the load of continuous semisinusoidal.Splitting fatigue Proof stress peak value is equal to the limit cleavage strength of reference sample and the product of splitting fatigue proof stress level, when the stiffness of test specimen When modulus is reduced to the 50% of initial stiffness modulus, it is believed that test specimen reaches collapse state.
In a kind of determination method of bituminous pavement preventive maintenance best opportunity of the present invention, in the 4th step, splitting fatigue examination It tests and is carried out by the splitting fatigue test of the test of cryogenic conditions splitting fatigue and cooling conditions.
In a kind of determination method of bituminous pavement preventive maintenance best opportunity of the present invention, cryogenic conditions temperature range: -5 To -15 DEG C;Cooling conditions: 20 DEG C to -20 DEG C of temperature range, cooling rate: 0.1-4 DEG C/min.
In a kind of determination method of bituminous pavement preventive maintenance best opportunity of the present invention, splitting fatigue test uses electro-hydraulic Servo universal tester MTS or hydraulic servo asphalt material pilot system UTM is carried out.
In a kind of determination method of bituminous pavement preventive maintenance best opportunity of the present invention, cryogenic conditions splitting fatigue is selected Smaller value in the best preventive maintenance time T that the splitting fatigue of test and cooling conditions is tested, as best preventative Curing time.
Mechanism of the invention is briefly described as below:
The present invention is by drilling through test core sample to several regions being not in good state of being on active service in target road section, such as road surface pressure-bearing frequency The position of the easy ponding of the highest position of rate --- wheel path, deformed depression or script have generated naked eyes due to various reasons can The position in crack is seen since these regions are most possibly first destroyed with the growth of road surface active time, these regions decide The best opportunity that preventive maintenance measure is implemented.Therefore, it can effectively improve the accuracy of evaluation.
Splitting fatigue load is to the active force of bitumen mixture specimen and the active force of practical highway driving load road pavement It is very close, therefore present invention selection carrys out simulated driving load to the work on practical road surface to test sample progress splitting fatigue test With, by establish asphalt fatigue life and road surface actual life relationship come determine implement preventive maintenance it is best Opportunity.
The pixel number of 0 gray value can intuitively reflect the distribution feelings in crack on CT image after CT image binaryzation Condition, when crack enter rapidly extension when, the pixel number of 0 gray value increases sharply, thus by curve P-N second dervative be 0 when pair The load times N answered implements the control point of best opportunity as preventive maintenance measure.
The invention has the advantages that
This patent carries out the research of bituminous pavement typical disease preventive maintenance opportunity using mesoscale experiments method, studies pitch The relationship of microscopic damage and the pavement disease rule of development inside pavement structure.It is carried out before macroscopic view damage occurs in bituminous pavement Preventive maintenance makes preventive maintenance measure give full play to effectiveness, reaches the development for delaying Asphalt Pavement Damage, extends asphalt road The purpose in the service life in face.Compared with prior art, the invention has the advantages that
Set about from the thin sight level of asphalt, the thin sight for the practical duty status of bituminous pavement, to bituminous pavement Damage is evaluated, and determines that asphalt enters the criterion of rapid damage phase, fine fisssure inside bound bitumen pavement structure The relationship of seam development and Asphalt Pavement Damage development, determines the best opportunity for implementing preventive maintenance.The present invention is mixed from pitch The failure mechanism of material is set out, and establishes the corresponding thin Judging index seen index and implement the best opportunity as preventive maintenance, this is Solution to the problem is looked for from the destruction root of bituminous pavement.Relative to Life Cycle Assessment method, benefit costs Evaluation Method, decision Tree method, ranking method, method, riding quality index and destructing index method based on road conditions (PCI) or time and the side based on aging The methods of method, just the theory of invention sees that the present invention has stronger specific aim and originating property;It is of the invention in terms of the index of invention Index is the index of quantization, there is higher accuracy and comparable operability.
Detailed description of the invention
Attached drawing 1 is a test sample in embodiment 1, axially carries out CT tomoscan, the test sample 3 of acquisition along it The primary fine of a section sees structural images.
Attached drawing 2 is the intensity profile histogram of Fig. 1 b scanning cross-section in attached drawing 1.
Attached drawing 3 be attached drawing 2 binaryzation after scheme.
Attached drawing 4 is the intensity profile histogram of attached drawing 3.
Attached drawing 5 is the CT image of the section Fig. 1 b difference load phase in attached drawing 1.
Attached drawing 6 is the corresponding bianry image of CT image of the section Fig. 1 b difference load phase in attached drawing 1.
In Fig. 1: Fig. 1 a is the scanning cross-section diagram away from sample upper surface 20mm;Fig. 1 c is the scanning away from sample lower end surface 20mm Cross-section diagram;Fig. 1 b is the scanning cross-section diagram in the middle part of sample;
In Fig. 5: Fig. 5 a be in attached drawing 1 section Fig. 1 b in the CT image of the first load phase;Fig. 5 b is that Fig. 1 b is cut in attached drawing 1 CT image of the face in the second load phase;Fig. 5 c be in attached drawing 1 section Fig. 1 b in the CT image of third load phase;
In Fig. 6: Fig. 6 a is the corresponding bianry image of CT image of Fig. 5 a load phase;Fig. 6 b is the CT of Fig. 5 b load phase The corresponding bianry image of image;Fig. 6 c is the corresponding bianry image of CT image of Fig. 5 c load phase;
Embodiment
A kind of determination method of bituminous pavement preventive maintenance best opportunity, includes the following steps:
Step 1: sampling
Test section is K1108+000~K1112+000 sections of Xiang Tan to Shaoyang highway after Hunan Province's overhaul in 2016, Pavement structure is the modified drip of surface layer+1cm thickness SBS in -13 upper layer+6cm thickness modified pitch AC-20C of 4cm thickness modified asphalt SMA The thick No. 50 A grades of bitumen A C-20C cutting optimal+1cm modified pitch synchronous surface dressings of green waterproof anticracking gluing layer+6cm.On the road Section road shoulder drills through reference sample 4, at the wheel path in section, deformed depression position or the position for having generated naked eyes visible crack Drill through 8 pieces of test sample.Date of Sampling: in May, 2017;
Step 2: reference sample limit cleavage strength data acquire
Pitch is carried out according to testing regulations " highway engineering pitch and Asphalt Mixture Experiment regulation " (E20-2011 JTG) The limit cleavage strength of mixture is tested.
1, testing equipment
Servo-hydraulic universal testing machine.
2, cleavage strength test result
1 cleavage strength result of table
Four specimen test result standard deviation multiples meet code requirement, the limit splitting of asphalt marshal piece Intensity is 19.01, this cleavage strength can be applied to study in next step --- in splitting fatigue test.
Step 3: test sample primary fine sees structured data acquisition and processing
A test sample is taken, along its axial direction every 5mm, a CT tomoscan is carried out, it is original to obtain the test sample Microscopical structure image, as shown in Figure 1;Wherein, Fig. 1 a is the scanning cross-section diagram away from sample upper surface 20mm;Fig. 1 c is away under sample The scanning cross-section diagram of end face 20mm;Fig. 1 b is the scanning cross-section diagram at examination middle part;
Structural images are seen with the CT scan primary fine in the section for being located among test sample 5 MATLAB to handle, The intensity profile histogram of each scanning cross-section image is obtained, intensity profile histogram can show the density point of scanning cross-section Cloth situation, as shown in Figure 2;Threshold segmentation is carried out based on Two-peak method and extracts figure void, by the comparison of original image and binary map, hair It is relatively reasonable that existing threshold value is set as 65.Binaryzation is carried out to image, obtains the binary map of image, black portions are section in binary map Gap and crack, as shown in figure 3, extract image in crack and hole, draw image after the binaryzation of each scanning cross-section Intensity profile figure, statistics represents the pixel number in crack and gap, as shown in Figure 4;After reading each scanning cross-section binaryzation The frequency P of 1 gray value in the intensity profile figure of image01、P02、P03、P04、P05, and to frequency P01-P05It averages, obtains It the results are shown in Table 2;
2 primary fine of table sees structural images and analyzes result
Step 4: the acquisition of test sample first time load test data and processing
It is 0.3 that the test sample of third step, which is carried out stress level, by testing regulations, and temperature condition is that -15 DEG C of splitting is tired Labor test, it is axial along sample when test sample deformation 1.5mm every along loading direction, every 5mm, a CT tomoscan is carried out, The test sample microscopical structure image is obtained, as shown in figure 5, having been able to the distribution for being clearly seen that section crack from image Situation;It is swept with CT of the MATLAB to the specimen cross section (section identical with third step selection sectional position) after a load deflection It retouches microscopical structure image to be handled, obtains the intensity profile histogram of each scanning cross-section image;According to CT image grayscale point Cloth histogram extracts crack and hole in image by thresholding method, carries out binaryzation to image, as shown in Figure 6.It repeats to walk In rapid three the step of image procossing, the frequency P of 1 gray value in the intensity profile figure of image after each CT image binaryzation is read11、 P12、……P15;To frequency P11-P15It averages, obtainsIt the results are shown in Table 3;
Processing result image after table 3 loads for the first time
Step 5: this experiment loads sample fatigue rupture after 4 stages, the 4th step is repeated, same sample is applied identical Fatigue load carries out splitting fatigue test and carries out a CT scan, directly as test sample deformation 1.5mm every along loading direction Fatigue rupture occurs to sample.The CT image in the identical section in the preceding sectional position selected twice is handled, process is no longer It repeats.The frequency average value of 1 gray value after same test sample is respectively obtained from the 1st time to the 4th load deflectionTest result is shown in Table 4;The fatigue life N of the test specimenf=47099;
4 load phase processing result image of table
Step 6:
WithAs first point of curve, withValue is that the frequency of 1 (or 0) gray value is ordinate, Using each load phase fatigue loading number as abscissa, fatigue loading number-frequency curve is drawn;Secondary ask is carried out to curve It leads, obtaining curve second derivative is 0 point of corresponding abscissa value N value;
Step 7: being handled by third step to the 6th step each test sample, 4 test samples are respectively obtained N1、N2……N4The N of sumf1、Nf2……Nf4, calculate under splitting fatigue experimental condition, the average value of sample fatigue loading times N With average fatigue lifeTest result is shown in Table 5;
The fatigue life of 5 second dervative of table corresponding fatigue loading number and test specimen when being 0
Step 8: the determination of best preventive maintenance time T
4 test specimens are separately taken to repeat third to eight steps, but splitting fatigue test temperature condition is from 20 DEG C of speed with 1 DEG C/min Degree is down to -20 DEG C.Calculate T be 5.26.
T=(6.13,5.26) min=5.26
Therefore the section preventive maintenance best opportunity is 5.26 after the Date of Sampling.

Claims (9)

1. a kind of determination method of bituminous pavement preventive maintenance best opportunity, includes the following steps:
Step 1: sampling
Test sample and reference sample are drilled through respectively in the quasi- object section for carrying out preventive maintenance;
Step 2: reference sample limit cleavage strength data acquire
The test of limit cleavage strength is carried out to reference sample, obtains the limit cleavage strength of reference sample;
Step 3: test sample primary fine sees structured data acquisition and processing
A test sample is taken, along its axial direction every 1-10mm, a CT tomoscan is carried out, obtains the test sample primary fine See structural images;
Selection is located at 5-20 section among test sample, original with image analysis software CT corresponding to these sectional positions Microscopical structure image is handled, and the intensity profile histogram that each primary fine sees structure C T image is obtained;According to CT image Intensity profile histogram, extracts crack and hole in image by thresholding method, carries out binaryzation to image, drafting is each swept Retouch the intensity profile figure of image after the binaryzation in section;It reads after each scanning cross-section binaryzation 1 in the intensity profile figure of image Or 0 gray value frequency P01、P02、……P0i, wherein i=1,2,3 ..., j;To frequency P01~P0iIt averages, obtains not Frequency average value under stress state
Step 4: the acquisition of test sample first time load test data and processing
The test sample of third step is subjected to splitting fatigue test, it is when test sample deformation 0.2-2mm every along loading direction or tired When labor loads 100-4000 times, by the interval and position of third step CT tomoscan, a CT tomoscan is carried out, obtains first Test sample microscopical structure image when secondary load;
The CT image for choosing section same position section selected by third step, with image analysis software to test sample microscopical structure CT image is handled, and the intensity profile histogram of each microscopical structure CT image is obtained;Intensity profile according to CT image is straight Fang Tu extracts crack and hole in image by thresholding method, carries out binaryzation to image, draw the two of each scanning cross-section The intensity profile figure of image after value;Read after each scanning cross-section binaryzation 1 or 0 gray value in the intensity profile figure of image Frequency P11、P12、……P1i, in which: the j of i=1,2,3 ...;To frequency P11-P1iIt averages, obtains first time stress state Under frequency average value
Step 5: repeating the 4th step, identical fatigue load is applied to same sample, splitting fatigue test is carried out, works as test sample When deformation 0.2-2mm every along loading direction or at fatigue loading 100-4000 times, carry out a CT scan, until sample occur it is tired Labor is destroyed, the frequency average value of 1 or 0 gray value after respectively obtaining same test sample from the 1st time to n-th fatigue loadingAnd fatigue life N when sample generation fatigue rupturef1, in which: the m of n=1,2,3 ...;
Step 6: fatigue loading number is abscissa using frequency as ordinate, fatigue loading number-frequency curve is drawn;To song Line carries out secondary derivation, reads corresponding abscissa value N when curve second derivative is 0;
Step 7: being handled by third step to the 6th step each test sample, each test sample is respectively obtained N1、N2……NRAnd Nf1、Nf2……NfR, the wherein Q of R=1,2,3 ...;It calculates under splitting fatigue experimental condition, sample fatigue adds Carry the average value of times NWith average fatigue life
Step 8: the determination of best preventive maintenance time T
T is the design period of highway, unit: year.
2. the determination method of bituminous pavement preventive maintenance best opportunity according to claim 1 a kind of, it is characterised in that: Test sample is at the wheel path in object section, deformed depression position or has generated the position of naked eyes visible crack and drills through;Reference Sample is drilled through in road shoulder.
3. the determination method of bituminous pavement preventive maintenance best opportunity according to claim 2 a kind of, it is characterised in that: Test sample quantity of sampling quantity at least eight;Reference sample quantity of sampling quantity at least four.
4. the determination method of bituminous pavement preventive maintenance best opportunity according to claim 3 a kind of, it is characterised in that: In second step, the test of limit cleavage strength, according to " highway engineering pitch and Asphalt Mixture Experiment regulation ", professional standard number: JTG E20—2011。
5. the determination method of bituminous pavement preventive maintenance best opportunity according to claim 4 a kind of, it is characterised in that: In 4th step, test uses Stress Control mode, and stress level 0.2-0.5, loading frequency 10Hz, loading mode is continuous Semisinusoidal load;Splitting fatigue proof stress peak value is equal to the limit cleavage strength and splitting fatigue proof stress water of reference sample Flat product, when the stiffness modulus of test specimen is reduced to the 50% of initial stiffness modulus, it is believed that test specimen reaches collapse state.
6. the determination method of bituminous pavement preventive maintenance best opportunity according to claim 5 a kind of, it is characterised in that: In 4th step, splitting fatigue test is tested by the splitting fatigue of the test of cryogenic conditions splitting fatigue and cooling conditions and is carried out.
7. the determination method of bituminous pavement preventive maintenance best opportunity according to claim 6 a kind of, it is characterised in that: Cryogenic conditions temperature range: -5 to -15 DEG C;Cooling conditions: 20 DEG C to -20 DEG C of temperature range, cooling rate: 0.1-4 DEG C/min.
8. the determination method of bituminous pavement preventive maintenance best opportunity according to claim 7 a kind of, it is characterised in that: Splitting fatigue test is carried out using electro-hydraulic servo universal testing machine MTS or hydraulic servo asphalt material pilot system UTM.
9. the determination method of bituminous pavement preventive maintenance best opportunity according to claim 8 a kind of, it is characterised in that: In the best preventive maintenance time T that selection cryogenic conditions splitting fatigue test is tested with the splitting fatigues of cooling conditions compared with Small value, as the best preventive maintenance time.
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