CN107941739A - A kind of SBS performance of modified bitumen index method for rapidly judging - Google Patents
A kind of SBS performance of modified bitumen index method for rapidly judging Download PDFInfo
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- CN107941739A CN107941739A CN201711498704.6A CN201711498704A CN107941739A CN 107941739 A CN107941739 A CN 107941739A CN 201711498704 A CN201711498704 A CN 201711498704A CN 107941739 A CN107941739 A CN 107941739A
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- 238000000034 method Methods 0.000 title claims abstract description 52
- 239000010426 asphalt Substances 0.000 title claims description 34
- 238000002329 infrared spectrum Methods 0.000 claims abstract description 20
- 238000012360 testing method Methods 0.000 claims abstract description 19
- 241001269238 Data Species 0.000 claims abstract description 9
- 230000035515 penetration Effects 0.000 claims description 25
- 230000008569 process Effects 0.000 claims description 20
- IOLCXVTUBQKXJR-UHFFFAOYSA-M potassium bromide Chemical compound [K+].[Br-] IOLCXVTUBQKXJR-UHFFFAOYSA-M 0.000 claims description 8
- 238000004458 analytical method Methods 0.000 claims description 7
- 239000011159 matrix material Substances 0.000 claims description 6
- 239000003607 modifier Substances 0.000 claims description 6
- 238000012216 screening Methods 0.000 claims description 6
- 230000003595 spectral effect Effects 0.000 claims description 6
- 238000002474 experimental method Methods 0.000 claims description 5
- 238000002790 cross-validation Methods 0.000 claims description 3
- 238000004321 preservation Methods 0.000 claims description 3
- 238000000513 principal component analysis Methods 0.000 claims description 3
- 230000009467 reduction Effects 0.000 claims description 3
- 230000005540 biological transmission Effects 0.000 claims description 2
- 230000008859 change Effects 0.000 claims description 2
- 238000009499 grossing Methods 0.000 claims description 2
- 238000004611 spectroscopical analysis Methods 0.000 claims 1
- 238000001228 spectrum Methods 0.000 claims 1
- 238000002360 preparation method Methods 0.000 abstract description 5
- 238000000701 chemical imaging Methods 0.000 abstract description 2
- 239000011295 pitch Substances 0.000 description 78
- 238000005516 engineering process Methods 0.000 description 4
- UHOVQNZJYSORNB-UHFFFAOYSA-N Benzene Chemical compound C1=CC=CC=C1 UHOVQNZJYSORNB-UHFFFAOYSA-N 0.000 description 3
- 239000000203 mixture Substances 0.000 description 3
- 229930195734 saturated hydrocarbon Natural products 0.000 description 3
- 238000010008 shearing Methods 0.000 description 3
- 238000010521 absorption reaction Methods 0.000 description 2
- 150000004945 aromatic hydrocarbons Chemical class 0.000 description 2
- 125000003118 aryl group Chemical group 0.000 description 2
- 238000012512 characterization method Methods 0.000 description 2
- 239000000470 constituent Substances 0.000 description 2
- 238000013480 data collection Methods 0.000 description 2
- 238000001514 detection method Methods 0.000 description 2
- 230000008676 import Effects 0.000 description 2
- 238000010801 machine learning Methods 0.000 description 2
- 238000004519 manufacturing process Methods 0.000 description 2
- 238000002156 mixing Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 125000001997 phenyl group Chemical group [H]C1=C([H])C([H])=C(*)C([H])=C1[H] 0.000 description 2
- 238000003756 stirring Methods 0.000 description 2
- 238000010998 test method Methods 0.000 description 2
- 241000208340 Araliaceae Species 0.000 description 1
- 244000025254 Cannabis sativa Species 0.000 description 1
- 238000004566 IR spectroscopy Methods 0.000 description 1
- 235000005035 Panax pseudoginseng ssp. pseudoginseng Nutrition 0.000 description 1
- 235000003140 Panax quinquefolius Nutrition 0.000 description 1
- 239000005062 Polybutadiene Substances 0.000 description 1
- 150000001335 aliphatic alkanes Chemical class 0.000 description 1
- 238000005452 bending Methods 0.000 description 1
- 239000003795 chemical substances by application Substances 0.000 description 1
- 239000000084 colloidal system Substances 0.000 description 1
- 238000005336 cracking Methods 0.000 description 1
- 239000013078 crystal Substances 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 235000008434 ginseng Nutrition 0.000 description 1
- 239000012535 impurity Substances 0.000 description 1
- 229910052500 inorganic mineral Inorganic materials 0.000 description 1
- 239000007788 liquid Substances 0.000 description 1
- 239000011707 mineral Substances 0.000 description 1
- 230000000704 physical effect Effects 0.000 description 1
- 229920002857 polybutadiene Polymers 0.000 description 1
- 239000000843 powder Substances 0.000 description 1
- 238000007781 pre-processing Methods 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 238000003908 quality control method Methods 0.000 description 1
- 238000013441 quality evaluation Methods 0.000 description 1
- 238000004445 quantitative analysis Methods 0.000 description 1
- 238000010561 standard procedure Methods 0.000 description 1
- 125000005504 styryl group Chemical group 0.000 description 1
- 239000000126 substance Substances 0.000 description 1
- 239000000758 substrate Substances 0.000 description 1
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 1
Classifications
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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
-
- 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
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N2201/00—Features of devices classified in G01N21/00
- G01N2201/12—Circuits of general importance; Signal processing
- G01N2201/13—Standards, constitution
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- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Chemical & Material Sciences (AREA)
- Analytical Chemistry (AREA)
- Biochemistry (AREA)
- General Health & Medical Sciences (AREA)
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- Investigating Or Analysing Materials By Optical Means (AREA)
Abstract
The invention discloses preparation, ir data test, conventional performance index data test, the pretreatment of infrared spectroscopic imaging, preferred, prediction model foundation, the application of prediction model in Modelling feature section of a kind of SBS modified pitch conventional performance index method for rapidly judging, including SBS modified pitch samples.SBS modified pitch ir datas of the invention according to examination of infrared spectrum, and establish correspondence with SBS modified pitch conventional performance index data, prediction model is built with this, it can quickly judge to obtain the conventional performance index of unknown SBS modified pitch, the performance indicator for the SBS modified pitch that can be widely applied in all kinds of engineering projects is quickly tested.
Description
Technical field
The present invention relates to asphalt performance indexes detection technique field, more particularly to a kind of SBS performance of modified bitumen index is fast
Fast decision method.
Background technology
Every quality index of pitch directly affects the performance of pitch, not only reflects the technology water of asphalt production
It is flat, the quality and specification of specification road asphalt, and also the user of pitch can also judge the excellent of product according to quality index
It is bad, select the asphaltic products of suitable grade.Therefore, the quality index of road asphalt is in production process quality control and evaluation, use
Family is selected with suffering from important meaning during use.
The performance indicator of pitch has up to twenties, such as the flash-point of characterization safe asphalt, characterization pitch homogeneous shape
The solubility of condition, characterize ash content of the pitch containing impurity contents such as mineral matters, characterize the cracking resistance of pitch under cryogenic
Brittle point etc., general asphalt are all easier to reach indices requirement.In addition, there are two core index, i.e.,
Needle penetration and softening point, are the very important foundations for evaluating asphalt quality, dividing asphalt grade.
At present professional standard is mainly used for the conventional performance index of pitch《Highway engineering pitch and asphalt examination
Test code》(JTG E20-2011) is measured, though analytic process is not sufficiently complex, need to sample carry out processing and
Sample preparation, analysis time is longer, is badly in need of a kind of fast and convenient analysis method.
As the application range of SBS modified pitch is more and more extensive, SBS modification drips can quickly be obtained by how providing one kind
The test method of blue or green conventional performance index is those skilled in the art's technical problem urgently to be resolved hurrily.
The content of the invention
Infrared spectroscopy has huge potentiality in terms of the attributional analysis of pitch, not only has with standard method non-
Often good correspondence, and it is efficiently convenient, detected while can realizing multiple indexs.
In view of this, it is an object of the invention to provide a kind of SBS performance of modified bitumen index method for rapidly judging, according to
The SBS modified pitch ir datas of examination of infrared spectrum, and it is corresponding with the data foundation of SBS modified pitch conventional performance indexes
Relation, prediction model is built with this, can quickly be tested to obtain the conventional performance index of unknown SBS modified pitch, can be answered extensively
Performance indicator for the SBS modified pitch in all kinds of engineering projects measures.Its concrete scheme is as follows to achieve the above object：
A kind of performance of modified bitumen index method for rapidly judging, includes the following steps：
Step 1, prepares multigroup SBS modified pitch sample；
Step 2, carries out examination of infrared spectrum to multigroup SBS modified pitch sample, obtains SBS modified pitch respectively
Ir data；
Step 3, conventional performance index experiment is carried out to multigroup SBS modified pitch sample respectively, obtains SBS modifications
Conventional performance index of asphalt data；
Step 4, the SBS modified pitch ir datas obtained to step 2 pre-process, and obtain SBS and are modified drip
Blue or green infrared spectrum preprocessed data；
Step 5, what the SBS modified pitch infrared spectrum preprocessed data that step 4 is obtained was obtained with step 3
SBS modified pitch conventional performance indexes data correspond, and build data set；
Step 6, analyzes pretreated SBS modified pitch ir data and corresponding SBS modified pitch routinely
The energy relevant peak spectral limit of achievement data, and combine correlation coefficient process screening Modelling feature section；
Step 7, establishes prediction model；
Step 8, the conventional performance index of unknown SBS modified pitch is judged according to the prediction model.
Preferably, in the step 1：The pitch and SBS modifier of several matrix are selected, using different SBS volume systems
Standby multigroup SBS modified pitch sample.
Preferably, the step 2 specifically includes：
1) using the infrared spectrum of transmission beam method test modified pitch；
2) the SBS modified pitch sample is applied on the potassium bromide chip, smearing is smooth, and smearing thickness is
0.4mm~0.5mm, is cooled to room temperature, and is positioned in infrared spectrometer fixture, is tested using infrared spectrometer, exports SBS
Infrared spectrogram, preservation obtain the SBS modified pitch ir data.
Preferably, the temperature conditionss that the SBS modified pitch sample heats in constant temperature oven are 165 DEG C~175 DEG C.
Preferably, the working environment of the infrared spectrometer is：25 DEG C ± 5 DEG C of temperature, humidity are not more than 60%.
Preferably, the conventional performance index in step 3 includes needle penetration and softening point.
Preferably, the method pre-processed to the SBS ir datas includes but not limited to first derivative and Fu
In leaf roll product smoothing method.
Preferably, in the step 6, consider SBS modified pitch ir data and be modified drip with corresponding SBS
The blue or green relevant peak spectral limit of conventional performance index data, and chemically structural point comprehensive analysis infrared spectrum characteristic peak and pin
In-degree, the relation of softening point, and combine modeling section and the modeling section of softening point that correlation coefficient process screening determines needle penetration.
Preferably, the modeling section of needle penetration is 3000cm-1~2700cm-1, 1650cm-1~1200cm-1, 1000cm-1
~650cm-1, the modeling section of softening point is 1750cm-1~1300cm-1, 1000cm-1~650cm-1。
Preferably, the step 7 specifically includes：
Select Gaussian process to carry out recurrence and establish the prediction model；
Dimensionality reduction is carried out using Principal Component Analysis；
The accuracy of the prediction model is tested using five folding cross validations.
Preferably, the performance of modified bitumen index developed according to a kind of performance of modified bitumen index method for rapidly judging
Quick decision-making system.
A kind of performance of modified bitumen index method for rapidly judging disclosed by the invention, using the multigroup SBS of examination of infrared spectrum
The SBS modified pitch ir datas of modified pitch sample, conventional performance index examination is carried out to identical SBS modified pitch sample
Test, and the two is corresponded into composition data collection, establish prediction model, can quickly judge the routine of unknown SBS modified pitch
Performance indicator, whole operation process only need 10 minutes, and applicability is more extensive, and application is more convenient, and user need to only import and test
The ir data arrived, you can complete the quick test of needle penetration and softening point.The present invention using infra-red sepectrometry relative to
No matter existing detection method, in terms of applicability, accuracy, economy, testing efficiency suffer from clear superiority.Herein conventionally
The SBS content prediction models based on ir data are established with reference to machine learning method, pass through a variety of SBS modified pitch samples
Unified Modeling can strengthen the applicability of model, and can be more by principal component analysis technology in machine learning algorithm modeling process
The effective information of good collection ir data, makes theoretical more science, the predictive ability of model more accurate, can answer extensively
Performance indicator for the SBS modified pitch in all kinds of engineering projects quickly measures.
Brief description of the drawings
In order to illustrate more clearly about the embodiment of the present invention or technical scheme of the prior art, below will be to embodiment or existing
There is attached drawing needed in technology description to be briefly described, it should be apparent that, drawings in the following description are only this
The embodiment of invention, for those of ordinary skill in the art, without creative efforts, can also basis
The attached drawing of offer obtains other attached drawings.
Fig. 1 is a kind of flow diagram of SBS performance of modified bitumen index method for rapidly judging disclosed by the invention；
Fig. 2 is the regression relation figure of needle penetration model predication value disclosed by the embodiments of the present invention and actual value；
Fig. 3 is the regression relation figure of softening point model predication value disclosed by the embodiments of the present invention and actual value；
Fig. 4 is SBS modified pitch penetration test data disclosed by the embodiments of the present invention；
Fig. 5 is SBS modified pitch softening point test data disclosed by the embodiments of the present invention.
Embodiment
Below in conjunction with the attached drawing in the embodiment of the present invention, the technical solution in the embodiment of the present invention is carried out clear, complete
Site preparation describes, it is clear that described embodiment is only part of the embodiment of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, those of ordinary skill in the art are obtained every other without making creative work
Embodiment, belongs to the scope of protection of the invention.
Shown in Figure 1, the invention discloses a kind of performance of modified bitumen index method for rapidly judging, including SBS to be modified
The pretreatment of data test, infrared spectroscopic imaging that the preparation of pitch sample, ir data test, traditional performance are tested,
Preferred, prediction model foundation, the application of prediction model in Modelling feature section, specific implementation step are as follows：
S1：Prepare multigroup SBS modified pitch sample；
1) three kinds of different substrates pitches (sinopec 70#, CNOOC 70#, shell 70#), two kinds of SBS modifier (stars are prepared
Type BM4302 and line style YH791), it is respectively 2%, 3%, 4%, 5%, 6% to select SBS volumes, prepares the examination of 3*2*5=30 kinds
Sample.
2) prepared by sample：SBS modified pitch is prepared in high-speed shearing machine laboratory, it is necessary to ensure that SBS modifier is sheared
It can be uniformly distributed in after meeting certain requirements in matrix pitch, so as to develop into the SBS modified pitch for meeting actual requirement.Often
, it is necessary to which rotating speed and mixing time to high-speed shearing machine propose certain requirement in group sample preparation, first 2kg matrix should be dripped
Green grass or young crops proportionally puts into SBS modifier after stirring evenly, and to make SBS be uniformly blended into matrix pitch, high-speed shearing machine turns to be set to
6000r/min, when mixing time 1 is small, 170 DEG C of matrix pitch heating-up temperature, 175 DEG C of modified asphalt-stirring process.
3) every group of sample carries out five groups of parallel tests.
S2：Examination of infrared spectrum is carried out respectively to multigroup SBS modified pitch sample, obtains SBS modified pitch infrared spectrums
Data；
1) SBS modified pitch samples are heated to 165 DEG C~175 DEG C in constant temperature oven, SBS modified pitch sample is in equal
Uniform flow moves, thick liquid nano；
2) using tablet press machine to be pressed into pure powder potassium bromide, thickness is uniform, clear transparent crystal microchip is spare；
3) infrared spectrometer operation sequence starts, and setting operation condition is stand-by, working environment：25 DEG C ± 5 DEG C of temperature, it is wet
Degree is not more than 60%；
4) the SBS modified pitch sample is applied on the potassium bromide chip, smearing is smooth, and smearing thickness is
0.4mm~0.5mm, is cooled to room temperature, and is positioned in infrared spectrometer fixture, and fixture is put into infrared spectrograph sample room carries out
Test, output SBS infrared spectrograms to computer, preservation obtain the SBS ir datas.
S3：Conventional performance index experiment is carried out respectively to multigroup SBS modified pitch sample, obtains SBS modified pitch routine
Performance indicator data.
Conventional performance index of asphalt (needle penetration, softening point) according to《Highway engineering pitch and Asphalt Mixture Experiment specification
JTG2011》In test method operation complete.
By S2, S3,150 groups of data are obtained, i.e. SBS modified pitch ir data and SBS modified pitch is conventional
Performance indicator (needle penetration, softening point) data.
S4：SBS modified pitch ir data is carried out using first derivative and Fourier's convolution smooth method pre-
Processing.
S5：The SBS modified pitch that the SBS modified pitch infrared spectrum preprocessed datas that S4 is obtained are obtained with S3 is routinely
Energy achievement data corresponds, composition data collection, prepares structure prediction model.
S6：Pretreated SBS modified pitch ir data is analyzed with corresponding SBS modified pitch traditional performance to refer to
The relevant peak spectral limit of data is marked, and combines correlation coefficient process screening Modelling feature section；
Though the softening point and needle penetration of pitch are physical property index, its also chemical constituent and constituent content with pitch
There is close relationship.Saturated hydrocarbons has higher needle penetration with aromatic hydrocarbons, and softening point is relatively low；The pin of colloid and asphalitine enters
Spend extremely low, but softening point is very high, therefore, using infrared spectrum as the information carrier of quantitative analysis, is detected using infrared spectrum
Asphaltic nature, is feasible in theory.
The needle penetration index of pitch is mainly influenced be subject to the aromatic component content and saturated hydrocarbon component content of pitch, and main
To divide content related with aromatic hydrocarbons elder sister.According to the calculating of related coefficient, the aromatic component of pitch, including 1600cm-1The phenyl ring of left and right
Skeletal vibration peak, 740cm-1~840cm-1In the range of benzene an adjacent disubstituted, disubstituted, trisubstituted out-of-plane bending of 1,2,3-
Vibration peak, the saturated hydrocarbon component of pitch, including 2850cm-1Neighbouring C-H stretching vibration peaks, 720cm-1Neighbouring long chain alkane
Flexural vibrations peak, has very strong correlation with needle penetration index.The same needle penetration of analysis method of softening point index, it is no longer superfluous
State.
After pitch admixture SBS modifier, the index such as needle penetration and softening point has this significant change, therefore SBS is modified
The characteristic absorption peak of agent must be also considered in modeling section.The characteristic peak of SBS mainly has at three, 966cm-1, 910cm-1Point
Not Wei the trans Isosorbide-5-Nitrae of polybutadiene and 1,2 architectural feature absworption peaks, 669cm-1Place's characteristic absorption peak belongs to styryl phenyl ring list
Substitute peak.
Therefore, SBS modified pitch ir data and corresponding SBS modified pitch conventional performance index number are considered
According to relevant peak spectral limit, and chemically structural point comprehensive analysis infrared spectrum characteristic peak and needle penetration, the pass of softening point
System, and combine correlation coefficient process screening and determine that the modeling section of needle penetration is 3000cm-1~2700cm-1, 1650cm-1~
1200cm-1, 1000cm-1~650cm-1, the modeling section of softening point is 1750cm-1~1300cm-1, 1000cm-1~650cm-1。
S7：Establish prediction model；Prediction model selects Gaussian process to return (GPR) and carries out recurrence foundation, using principal component
The method for analyzing (PCA) carries out dimensionality reduction, using the accuracy of five folding cross validation testing algorithms, wherein the algorithm modeled include but
It is not limited to Gaussian process recurrence.
Gaussian process returns needle penetration prediction model coefficient of determination R2=0.922, root-mean-square error RMSE=6.63, softening
Point prediction model coefficient of determination R2=0.945, root-mean-square error RMSE=4.35, prediction effect can meet actual demand, due to
The present embodiment discloses the prediction model obtained using three kinds of different oil sources with the data set of label pitch, predicted value with it is true
Fine difference between value comes from the difference of different oil sources, and needle penetration, softening point test data existing error in itself, ginseng
See attached drawing 2 and Fig. 3 is respectively that the recurrence of needle penetration disclosed by the embodiments of the present invention and softening point model predication value and actual value is closed
System's figure, is such as individually modeled, needle penetration and softening point prediction model coefficient of determination R with a kind of data set of oil sources pitch2It can divide
Do not reach 0.982 and 0.964, have been provided with very high precision of prediction.
S8：The SBS volumes of unknown SBS modified pitch sample are judged according to the prediction model.
Trained model exports to MATLAB workspaces, and unknown sample is can determine that using the ir data newly inputted
This every conventional performance index, such as needle penetration, softening point.Infrared spectrum experiment obtains data, imports prediction model and obtains
SBS modified pitch conventional performance indexes, whole operation time only need the fast prediction, it can be achieved that truly 10 minutes.
A set of quick decision-making system of SBS modified pitch conventional performance index, user are write according to trained prediction model
The ir data that test obtains need to only be imported, you can be rapidly completed the test of pitch conventional index, this set decision-making system pole
Has market promotion prospect.
A kind of performance of modified bitumen index method for rapidly judging provided by the present invention is described in detail above, this
Specific case is applied in text to be set forth the principle of the present invention and embodiment, the explanation of above example is only intended to
Help to understand method and its core concept of the invention；Meanwhile for those of ordinary skill in the art, the think of according to the present invention
Think, in specific embodiments and applications there will be changes, in conclusion this specification content should not be construed as pair
The limitation of the present invention.
Herein, relational terms such as first and second and the like be used merely to by an entity or operation with it is another
One entity or operation distinguish, without necessarily requiring or implying there are any this reality between these entities or operation
Relation or order.Moreover, term " comprising ", "comprising" or its any other variant are intended to the bag of nonexcludability
Contain, so that process, method, article or equipment including a series of elements not only include those key elements, but also including
Other elements that are not explicitly listed, or further include as elements inherent to such a process, method, article, or device.
In the absence of more restrictions, the key element limited by sentence "including a ...", it is not excluded that including the key element
Process, method, also there are other identical element in article or equipment.
Claims (8)
- A kind of 1. SBS performance of modified bitumen index method for rapidly judging, it is characterised in that：Include the following steps：Step 1, prepares multigroup SBS modified pitch sample；Step 2, carries out examination of infrared spectrum to multigroup SBS modified pitch sample, it is infrared to obtain SBS modified pitch respectively Spectroscopic data；Step 3, carries out conventional performance index experiment to multigroup SBS modified pitch sample, obtains SBS modified pitch respectively Conventional performance index data；Step 4, the SBS modified pitch ir datas obtained to step 2 pre-process, and it is red to obtain SBS modified pitch External spectrum preprocessed data；Step 5, the SBS that the SBS modified pitch infrared spectrum preprocessed data that step 4 is obtained is obtained with step 3 change Property conventional performance index of asphalt data correspond, build data set；Step 6, analyzes pretreated SBS modified pitch ir data and refers to corresponding SBS modified pitch traditional performance The relevant peak spectral limit of data is marked, and combines correlation coefficient process screening Modelling feature section；Step 7, establishes prediction model；Step 8, the conventional performance index of unknown SBS modified pitch is judged according to the prediction model.
- A kind of 2. performance of modified bitumen index method for rapidly judging according to claim 1, it is characterised in that the step In one：Several matrix pitch and SBS modifier are selected, multigroup SBS modified pitch sample is prepared using different SBS volumes This.
- A kind of 3. performance of modified bitumen index method for rapidly judging according to claim 1, it is characterised in that the step Two specifically include：1) using the infrared spectrum of transmission beam method test modified pitch；2) the SBS modified pitch sample is applied on the potassium bromide chip, smear it is smooth, smearing thickness for 0.4mm~ 0.5mm, is cooled to room temperature, and is positioned in infrared spectrometer fixture, is tested using infrared spectrometer, exports infrared spectrum Figure, preservation obtain the SBS modified pitch ir data.
- 4. a kind of performance of modified bitumen index method for rapidly judging according to claim 1, it is characterised in that in step 3 The conventional performance index include needle penetration and softening point.
- 5. a kind of performance of modified bitumen index method for rapidly judging according to claim 1, it is characterised in that to described The method that SBS ir datas are pre-processed includes but not limited to first derivative and Fourier's convolution smoothing method.
- A kind of 6. performance of modified bitumen index method for rapidly judging according to claim 5, it is characterised in that the step In six, consider SBS modified pitch ir data and corresponding SBS modified pitch conventional performance index data are relevant Peak spectral limit, and chemically structural point comprehensive analysis infrared spectrum characteristic peak and needle penetration, the relation of softening point, and combine Correlation coefficient process screening determines the modeling section and the modeling section of softening point of needle penetration.
- A kind of 7. performance of modified bitumen index method for rapidly judging according to claim 1, it is characterised in that the step Seven specifically include：Select Gaussian process to carry out recurrence and establish the prediction model；Dimensionality reduction is carried out using Principal Component Analysis；The accuracy of the prediction model is tested using five folding cross validations.
- 8. a kind of performance of modified bitumen index method for rapidly judging according to any one of claim 1-7, its feature exist Quickly judge in, the performance of modified bitumen index developed according to a kind of performance of modified bitumen index method for rapidly judging be System.
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Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109001151A (en) * | 2018-09-30 | 2018-12-14 | 江苏中路工程技术研究院有限公司 | A method of quickly detecting pitch macro-indicators based on near-infrared spectrum technique |
| CN109615145A (en) * | 2018-12-27 | 2019-04-12 | 中国海洋石油集团有限公司 | A kind of method of the physical property of quick predict difference degree of aging matrix pitch |
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| CN109615145A (en) * | 2018-12-27 | 2019-04-12 | 中国海洋石油集团有限公司 | A kind of method of the physical property of quick predict difference degree of aging matrix pitch |
| CN109709060A (en) * | 2019-01-30 | 2019-05-03 | 甘肃畅陇公路养护技术研究院有限公司 | A kind of measuring method of asphalt softening point, needle penetration and mass loss |
| CN113484269A (en) * | 2020-07-18 | 2021-10-08 | 北京立鼎智行科技有限公司 | Modified asphalt SBS content detection system based on infrared spectrometer |
| CN113484264A (en) * | 2020-07-18 | 2021-10-08 | 北京立鼎智行科技有限公司 | Visual calibration curve calibration tool based on SBS modified asphalt detector |
| CN113848260A (en) * | 2021-08-17 | 2021-12-28 | 广西科技大学 | Method for detecting paraffin in rice based on space angle |
| CN113848260B (en) * | 2021-08-17 | 2023-08-15 | 广西科技大学 | Method for detecting paraffin in rice based on space angle |
| CN115073929A (en) * | 2022-07-29 | 2022-09-20 | 上海城建日沥特种沥青有限公司 | High-durability high-viscosity modified asphalt, preparation method thereof and asphalt mixture |
| CN117273551A (en) * | 2023-11-21 | 2023-12-22 | 广东新粤佳富沥青有限公司 | Intelligent production management method, system and storage medium for modified asphalt |
| CN117273551B (en) * | 2023-11-21 | 2024-02-23 | 广东新粤佳富沥青有限公司 | Intelligent production management method, system and storage medium for modified asphalt |
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