CN106769277A - A kind of method and system for obtaining pitch microcosmic surface distributed intelligence - Google Patents
A kind of method and system for obtaining pitch microcosmic surface distributed intelligence Download PDFInfo
- Publication number
- CN106769277A CN106769277A CN201611003516.7A CN201611003516A CN106769277A CN 106769277 A CN106769277 A CN 106769277A CN 201611003516 A CN201611003516 A CN 201611003516A CN 106769277 A CN106769277 A CN 106769277A
- Authority
- CN
- China
- Prior art keywords
- young
- modulus
- sample
- distribution map
- microcosmic surface
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- 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
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N3/00—Investigating strength properties of solid materials by application of mechanical stress
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N2203/00—Investigating strength properties of solid materials by application of mechanical stress
- G01N2203/0058—Kind of property studied
- G01N2203/006—Crack, flaws, fracture or rupture
Abstract
The invention provides a kind of method and system for obtaining pitch microcosmic surface distributed intelligence, the method is by obtaining atomic force microscope probe with the force curve produced by asphalt sample interphase interaction, and according to the force curve, generate the Young's modulus distribution map of asphalt sample microcosmic surface；Then according to the Young's modulus distribution map, extract the three-dimensional data of Young's modulus distribution map, finally according to the three-dimensional data, the Young's modulus distributed intelligence of statistical analysis asphalt sample microcosmic surface, fully understand cognitive pitch microscopic property, the difference of pitch microcosmic surface mechanical characteristic is studied, for the research of pitch performance provides a kind of new science reference frame.
Description
Technical field
It is more particularly to a kind of to obtain pitch microcosmic surface point the present invention relates to the technical field of pitch mechanics property analysis
The method and system of cloth information.
Background technology
Bituminous paving is widely used in highway as a kind of excellent pavement structure, but because natural environment is multiple
Miscellaneous, there is different degrees of destruction in the influence of the factor such as environment, traffic load, bituminous paving.Therefore, need at this stage comprehensively
Asphalt performance is solved to reduce Damages of Asphalt Road Surface degree.
For many years, researcher is limited by analysis means, and pitch mainly is reduced into isotropic body and by broad perspectives
Energy analysis of experiments pavement destruction Producing reason, but bituminous paving by extraneous many factors due to being acted on, its mechanics row
For complex, pitch cannot be reduced to grinding for isotropic body by pitch inside different structure compartment analysis by macromechanics experiment
Study carefully and do not met actual requirement.
The macroscopic behavior of material is determined that pitch Micro Mechanical Properties inherently influence the macroscopic view of pitch by micro-property
Mechanical property.Therefore, with the deep development of research, it is badly in need of fully understanding cognitive pitch microscopic property, further studies pitch
The difference of microcosmic surface mechanical characteristic, for the research of pitch performance provides a kind of new effective way.
The content of the invention
It is an object of the invention to provide a kind of method and system for obtaining pitch microcosmic surface distributed intelligence, dripped by studying
Blue or green microcosmic surface Young's modulus distributed intelligence, fully understands pitch micro-property, for the research of pitch performance provides one kind
New effective way.
To achieve the above object, the invention provides following scheme：
A kind of method for obtaining pitch microcosmic surface distributed intelligence, it is characterised in that methods described includes：
Force curve is obtained, the force curve represents the interaction between atomic force microscope probe and sample surfaces；
According to the force curve, the Young's modulus distribution map of asphalt sample microcosmic surface is generated；
According to the Young's modulus distribution map, the three-dimensional data of Young's modulus distribution map is extracted, wherein the three-dimensional data
In each scanning element have tri- bearing datas of X, Y, Z, X, Y-direction data represent scanning element plane coordinates, Z-direction data generation
Table Young's modulus value；
According to the three-dimensional data, the Young's modulus distributed intelligence of statistical analysis asphalt sample microcosmic surface.
Optionally, the force curve for obtaining asphalt sample, including：
According to the property of asphalt sample, corresponding probe, corresponding sweep limits and corresponding scanning lattice are selected；
Corresponding probe, corresponding sweep limits and corresponding scanning lattice according to the selection, using quantitatively receiving
Rice mechanical meaurement pattern, obtains the force curve of asphalt sample.
Optionally, the Young's modulus distribution map of the generation asphalt sample microcosmic surface, specifically includes：
According to the force curve, using Derjaguin-Muler-Toporov models, according to formula (1) and (2)：
Generate the Young's modulus distribution map of asphalt sample microcosmic surface；In formula：The peak force that F-probe applies to sample,
FadhesionAdhesion between-probe and sample, E*- combination modulus, R-probe radius of curvature, δ-sample deformation amount, Vs,
VtipThe Poisson's ratio of-sample, probe, Es,EtipThe Young's modulus of-sample, probe.
Optionally, the three-dimensional data for extracting asphalt sample microcosmic surface Young's modulus distribution map, including：
The data of Young's modulus distribution map source file are converted into the data of .txt formatted files；
According to the data of the .txt formatted files, the three-dimensional data of Young's modulus distribution map is extracted.
Optionally, the Young's modulus distributed intelligence of the statistical analysis asphalt sample microcosmic surface, including：
According to the three-dimensional data of the extraction, average value, standard deviation and the standard of Z-direction data in three-dimensional data are calculated
The difference coefficient of variation；
According to the average value of Z-direction data, standard deviation and the standard deviation coefficient of variation, statistical analysis in the three-dimensional data
The Young's modulus distributed intelligence of asphalt sample microcosmic surface.
The present invention also provides a kind of system for obtaining pitch microcosmic surface distributed intelligence, it is characterised in that the system bag
Include：
Force curve acquisition module, the force curve for obtaining asphalt sample；The force curve represents that AFM is visited
Interaction force between pin and the asphalt sample surface；
Young's modulus distribution map generation module, for according to the force curve, generating the Young of asphalt sample microcosmic surface
Modulus distribution map；
Three-dimensional data extraction module, for according to the Young's modulus distribution map, extracting the three-dimensional of Young's modulus distribution map
Data, wherein every in the three-dimensional data has tri- bearing datas of X, Y, Z, X, Y-direction data represent scanning element plane
Coordinate, Z-direction data represent Young's modulus value；
Young's modulus distributed intelligence statistical module, for according to the three-dimensional data, the microcosmic table of statistical analysis asphalt sample
The Young's modulus distributed intelligence in face.
Optionally, the force curve acquisition module, including：
Probe, sweep limits and scanning lattice selection submodule, for the property according to asphalt sample, selection is corresponding
Probe, corresponding sweep limits and corresponding scanning lattice；
Force curve acquisition submodule, for the corresponding probe according to the selection, corresponding sweep limits and corresponding
Scanning lattice, using quantitative nano mechanical meaurement pattern, obtain the force curve of asphalt sample.
Optionally, the Young's modulus distribution map generation module, specifically includes：
The sub- generation module of Young's modulus distribution map, according to the force curve, using Derjaguin-Muler-Toporov moulds
Type, generates the Young's modulus distribution map of asphalt sample microcosmic surface.
Optionally, the three-dimensional data extraction module, including：
Data convert submodule, the number for the data of Young's modulus distribution map source file to be converted into .txt formatted files
According to；
Three-dimensional data extracting sub-module, for the data according to the .txt formatted files, extracts Young's modulus distribution map
Three-dimensional data.
Optionally, the Young's modulus distributed intelligence statistical module, including：
Average value, standard deviation and standard deviation coefficient of variation calculating sub module, for according to the three-dimensional data extracted, calculating
The average value of Z-direction data, standard deviation and the standard deviation coefficient of variation in three-dimensional data；
Young's modulus distributed intelligence statistic submodule, for according to the average value of Z-direction data, mark in the three-dimensional data
Quasi- difference and the standard deviation coefficient of variation, the Young's modulus distributed intelligence of statistical analysis asphalt sample microcosmic surface.
According to the specific embodiment that the present invention is provided, the invention discloses following technique effect：
The present invention provides a kind of method and system for obtaining pitch microcosmic surface distributed intelligence, is visited by AFM
Interaction between pin and asphalt sample obtains pitch microcosmic surface Young's modulus from microcosmic point, can be with reference to statistical analysis
Propose three-dimensional data technical indicator to analyze pitch microcosmic surface Young's modulus distribution situation, fully understand the microcosmic property of cognitive pitch
Matter, study pitch microcosmic surface mechanical characteristic difference, for the research of pitch performance provide a kind of new science with reference to according to
According to.
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 institute in embodiment
The accompanying drawing for needing to use is briefly described, it should be apparent that, drawings in the following description are only some implementations of the invention
Example, for those of ordinary skill in the art, without having to pay creative labor, can also be according to these accompanying drawings
Obtain other accompanying drawings.
Fig. 1 is the method flow diagram of the acquisition pitch microcosmic surface distributed intelligence in the embodiment of the present invention；
Fig. 2 is the system construction drawing of the acquisition pitch microcosmic surface distributed intelligence in the embodiment of the present invention；
Fig. 3 is the bitumen samples for AFM test in the embodiment of the present invention；
Fig. 4 is force profile between atomic force microscope probe and sample in the embodiment of the present invention；
Fig. 5 is 30# pitch former state microcosmic surface Young's modulus distribution maps in the embodiment of the present invention；
Fig. 6 is sample microcosmic surface Young's modulus distribution map after 30# pitch long-term ageings in the embodiment of the present invention.
Specific embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clear, complete
Site preparation is described, it is clear that described embodiment is only a part of embodiment of the invention, rather than whole embodiments.It is based on
Embodiment in the present invention, it is every other that those of ordinary skill in the art are obtained under the premise of creative work is not made
Embodiment, belongs to the scope of protection of the invention.
It is below in conjunction with the accompanying drawings and specific real to enable the above objects, features and advantages of the present invention more obvious understandable
The present invention is further detailed explanation to apply mode.
Embodiment 1
Method the invention provides pitch microcosmic surface distributed intelligence is obtained, as shown in figure 1, the method includes：
Step 101：Obtain force curve；
Step 102：Generate the Young's modulus distribution map of asphalt sample microcosmic surface；
Step 103：Extract the three-dimensional data of Young's modulus distribution map；
Step 104：The Young's modulus distributed intelligence of statistical analysis asphalt sample microcosmic surface.
Wherein, the step 101 is specifically included：Before the force curve of asphalt sample is obtained, first have to prepare atomic force
Microscope asphalt sample；Wherein, AFM mainly passes through to make between probe and sample as a kind of micro-analysis instrument
Sample surface morphology and quantitative determination sample surfaces mechanical characteristic are firmly precisely detected, each research field is had been widely used
In；It is described prepare AFM under asphalt sample step include：
The beaker that will be equipped with pitch is put into baking oven, and oven temperature is adjusted according to specification, and the baking oven time is 2~3h, until
Pitch is in flowable state；
The beaker equipped with pitch in baking oven is taken out, asphalt sample to substrate center is shifted using sample transfer device
In sample storage device, after the asphalt sample is highly flushed with the storage device, stop addition；Wherein, the base
Bottom is bonding with the adhesiveness that the sample storage device passes through pitch to obtain AFM asphalt sample；
The AFM asphalt sample for preparing is continued to be put into baking oven, treats that the asphalt sample surface is complete
Complete smooth rear taking-up, is put into culture dish and is cooled to room temperature, while culture dish is put into drying box after the sample；
Before detection, sample needs annealing time more than 24 hours.
Then, the asphalt sample for completing will be prepared to put under an atomic force microscope, described AFM pitch is micro-
See the detection of surface Young's modulus and select PeakForce QNM detection patterns, different probe is selected according to properties of samples difference, scan
Scope is chosen according to demand with scanning lattice.By ensureing that shape of the sample in the case where probe is acted on is changed on the basis of elastic deformation,
Obtain the force curve of asphalt sample.
The step 102 is specifically included：According to the force curve, using Derjaguin-Muler-Toporov models, root
According to formula (1) and (2)：
Generate the Young's modulus distribution map of asphalt sample microcosmic surface；In formula：The peak force that F-probe applies to sample,
FadhesionAdhesion between-probe and sample, E*- combination modulus, R-probe radius of curvature, δ-sample deformation amount, Vs,
VtipThe Poisson's ratio of-sample, probe, Es,EtipThe Young's modulus of-sample, probe.
The step 103 is specifically included：By self-programmed software, the poplar of the .000 forms that will be obtained by AFM
The data of family name's modulus distribution map source file are converted into the data of .txt formatted files, and according to the txt formatted files after conversion
Data, extract the three-dimensional data of Young's modulus distribution map；Wherein by the data source file in Young's modulus distribution map by self-editing
.000 formatted files are converted into .txt formatted files by software, are conducive to the treatment that further quantizes of data.Three dimension
There are tri- bearing datas of X, Y, Z according to every, X, Y-direction data represent scanning element plane coordinates, and Z-direction data represent Young mould
Value.
The step 104 is specifically included：Statistical analysis is carried out to data using statistical software, using average value, standard deviation,
The statistical indicators such as the coefficient of variation, the distributed intelligence of statistical analysis asphalt sample microcosmic surface Young's modulus.
The present invention uses above example, with advantages below：1st, by between atomic force microscope probe and sample
Interact and obtain asphalt sample force curve from microcosmic point；2 according to the force curve for obtaining, with reference to Derjaguin-Muler-
Toporov models, obtain asphalt sample microcosmic surface Young's modulus distribution map；3rd, correlation technique can be proposed with reference to statistical analysis
To analyze pitch microcosmic surface Young's modulus distribution situation, help fully understands cognitive pitch microscopic property to index, studies pitch
The difference of microcosmic surface mechanical characteristic, for the research of pitch performance provides a kind of new science reference frame.
Embodiment 2
Present invention also offers a kind of system for obtaining pitch microcosmic surface distributed intelligence, as shown in Fig. 2 including force curve
Acquisition module 201, Young's modulus distribution map generation module 202, three-dimensional data extraction module 203 and Young's modulus distributed intelligence
Statistical module 204.
The force curve acquisition module 201, for obtaining force curve；The force curve represent atomic force microscope probe with
Interaction between the sample surfaces, wherein, AFM mainly passes through probe as a kind of micro-analysis instrument
Sample surface morphology and quantitative determination sample surfaces mechanical characteristic are precisely detected with the intermolecular forces of sample, is had been widely used
In each research field, specifically include：
Probe, sweep limits and scanning lattice selection submodule, for the property according to asphalt sample, selection is corresponding
Probe, corresponding sweep limits and corresponding scanning lattice；
Force curve acquisition submodule, for the corresponding probe according to the selection, corresponding sweep limits and corresponding
Scanning lattice, using the PeakForce QNM detection patterns in AFM, obtain the force curve of asphalt sample.
Young's modulus distribution map generation module 202, for according to the force curve, generating the poplar of asphalt sample microcosmic surface
Family name's modulus distribution map, specifically includes：
The sub- generation module of Young's modulus distribution map, according to the force curve, using Derjaguin-Muler-Toporov moulds
Type, generates the Young's modulus distribution map of asphalt sample microcosmic surface.
Three-dimensional data extraction module 203, for according to the Young's modulus distribution map, extracting the three of Young's modulus distribution map
Dimension data, wherein every in the three-dimensional data has tri- bearing datas of X, Y, Z, X, Y-direction data represent scanning element and put down
Areal coordinate, Z-direction data represent Young's modulus value, specifically include：
Data convert submodule, for the data of the Young's modulus distribution map source file of .000 forms to be converted into .txt lattice
The data of formula file；
Three-dimensional data extracting sub-module, for the data according to the .txt formatted files, extracts Young's modulus distribution map
Three-dimensional data.
Young's modulus distributed intelligence statistical module 204, for according to the three-dimensional data, statistical analysis asphalt sample to be microcosmic
The Young's modulus distributed intelligence on surface, specifically includes：
Average value, standard deviation and standard deviation coefficient of variation calculating sub module, for according to the three-dimensional data extracted, calculating
The average value of each scanning element Z-direction data, standard deviation and the standard deviation coefficient of variation in three-dimensional data；
Young's modulus distributed intelligence statistic submodule, for according to the average value of Z-direction data, mark in the three-dimensional data
Quasi- difference and the standard deviation coefficient of variation, the Young's modulus distributed intelligence of statistical analysis asphalt sample microcosmic surface.
The present invention uses the system in above example, with advantages below：Only pass through force curve acquisition module, Young mould
Amount distribution map generation module, three-dimensional data extraction module and Young's modulus distributed intelligence statistical module just can statistical precipitation drips
Blue or green microcosmic surface Young's modulus distribution situation, and then according to the Young's modulus distribution situation for counting, fully understand cognitive pitch
Microscopic property, for the research of pitch performance provides a kind of new science reference frame.
Embodiment three
30# pitches and the sample microcosmic surface distributed intelligence after long-term ageing of 30# pitches are obtained the invention provides one kind
Method, specifically include：
1) AFM 30# asphalt samples and 30# the pitches sample after long-term ageing are prepared；The preparation atomic force
Microscope 30# asphalt samples and 30# the pitches sample after long-term ageing, wherein, AFM is used as a kind of micro-analysis
Instrument mainly precisely detects sample surface morphology and quantitative determination sample surfaces mechanics by probe and the intermolecular forces of sample
Characteristic, has been widely used in each research field, specifically includes：
(1) 30# pitches are will be equipped with to be put into baking oven with 30# pitches beaker of sample after long-term ageing, and according to specification
Adjustment oven temperature keeps 2~3h of oven temperature until pitch is in flowable state to 160 DEG C；
(2) sample storage device is placed in substrate center；
(3) using pitch and shifting sample storage device of a small amount of pitch to substrate in sample transfer device stirring beaker
It is interior until asphalt sample is highly flushed with storage device, substrate and sample storage device are bonding by the adhesiveness of pitch；
(4) sample preparation apparatus continue to be put into about 10min in baking oven, after asphalt sample surface be completely smooth it is smooth after take
Go out, be put into culture dish and be cooled to room temperature, while culture dish is put into drying box, sample needs to experience more than 24h before observation
Annealing process, and then obtain as shown in Figure 3, AFM 30# asphalt samples and 30# the pitches sample after long-term ageing
Product.
2) pitch microcosmic surface region is selected using afm scan, according to the phase between pitch probe and sample
Interaction, obtains asphalt sample force curve, shown in Figure 4；And it is microcosmic to its according to force curve between pitch probe and sample
Surface mechanical properties are measured, and generate asphalt sample microcosmic surface Young's modulus distribution map.The present embodiment probe selects cloth Shandong
The TAP150 probes of gram company production, the coefficient of elasticity 5.38N/m of probe, cantilever deflection sensitivity is 38.16nm/v, scanning area
Domain is chosen to be 10 × 10 μm, and scanning uses 256 × 256 matrix-scannings, and 65536 data points are gathered altogether.Pertinent literature is consulted, this
Pitch Poisson's ratio uses 0.4 in embodiment, and Young's modulus is calculated using Derjaguin-Muler-Toporov models, according to public affairs
Formula (3) and (4) calculate Young's modulus：
In formula：The peak force that F-probe applies to sample；
FadhesionAdhesion between-probe and sample；
E*- combination modulus；
R-probe radius of curvature；
δ-sample deformation amount；
Vs,VtipThe Poisson's ratio of-sample, probe；
Es,EtipThe Young's modulus of-sample, probe；
Generate the Young's modulus distribution map of asphalt sample microcosmic surface, the distribution of 30# pitch former state microcosmic surfaces Young's modulus
Figure, as shown in Figure 5；Sample microcosmic surface Young's modulus distribution map after 30# pitch long-term ageings, as shown in Figure 6.
3) the pitch microcosmic surface Young's modulus distributed data source file of .000 forms is converted into using self-programmed software
.txt formatted file, and according to the .txt formatted files after conversion, extract the three-dimensional data of asphalt sample Young's modulus distribution map.
Present case Young's modulus distributed data has 65536 data points, and each data point has three dimensions in tri- directions of X, Y, Z
According to X, Y represent scanning element plane coordinates, and Z-direction data represent Young's modulus value.
4) according to step 3) the middle three-dimensional data extracted, using dividing for statistical software statistics pitch microcosmic surface Young's modulus
Cloth information, analysis indexes use average valueStandard deviation sigmazAnd standard deviation coefficient of variation Vσ, it is respectively defined as：
In formula：N is data point number；ZiIt is each data dot values；Z is average value；σzIt is standard deviation；VσIt is standard deviation variation
Coefficient
Wherein, table 1 is that 30# pitches with 30# pitches unite by the sample microcosmic surface Young's modulus distribution situation after long-term ageing
Meter result
The 30# pitches of table 1 and 30# pitches sample microcosmic surface Young's modulus distribution situation statistics after long-term ageing
By counting 30# pitches, the sample microcosmic surface Young's modulus after long-term ageing is distributed the present embodiment with 30# pitches
Situation, shows that 30# pitches increase by microcosmic surface Young's modulus after long-term ageing, and pitch is hardened, and this is caused due to aging
Asphaltene molecule amount increases, and carbonyl and sulfoxide group equal size increase caused；But standard deviation and the standard deviation coefficient of variation subtract
It is small, illustrate that aging rear pitch microcosmic surface Young's modulus distribution is more uniform, this is to cause saturation point, fragrance to be graded due to aging
Decentralized medium is reduced, and the colloform texture of pitch is more intended to gel-type, is attracted each other between micelle increase and micelle, so as to cause
Pitch is set more to be homogenized in the microcosmic surface Young's modulus distribution after aging.Therefore, according to above-mentioned statistics, Neng Gouquan
The cognitive pitch microscopic property of face understanding and its change procedure, and the difference of pitch microcosmic surface mechanical characteristic is studied, it is that pitch makes
A kind of new science reference frame is provided with the research of performance.
Each embodiment is described by the way of progressive in this specification, and what each embodiment was stressed is and other
The difference of embodiment, between each embodiment identical similar portion mutually referring to.For system disclosed in embodiment
For, because it is corresponded to the method disclosed in Example, so description is fairly simple, related part is said referring to method part
It is bright.
Specific case used herein is set forth to principle of the invention and implementation method, and above example is said
It is bright to be only intended to help and understand the method for the present invention and its core concept；Simultaneously for those of ordinary skill in the art, foundation
Thought of the invention, will change in specific embodiments and applications.In sum, this specification content is not
It is interpreted as limitation of the present invention.
Claims (10)
1. it is a kind of obtain pitch microcosmic surface distributed intelligence method, it is characterised in that methods described includes：
Force curve is obtained, the force curve represents the interaction between atomic force microscope probe and sample surfaces；
According to the force curve, the Young's modulus distribution map of asphalt sample microcosmic surface is generated；
According to the Young's modulus distribution map, the three-dimensional data of Young's modulus distribution map is extracted, wherein in the three-dimensional data
Each scanning element has tri- bearing datas of X, Y, Z, and X, Y-direction data represent scanning element plane coordinates, and Z-direction data represent poplar
Family name's modulus value；
According to the three-dimensional data, the Young's modulus distributed intelligence of statistical analysis asphalt sample microcosmic surface.
2. it is according to claim 1 it is a kind of obtain pitch microcosmic surface distributed intelligence method, it is characterised in that it is described to obtain
Power taking curve, including：
According to the property of asphalt sample, corresponding probe, corresponding sweep limits and corresponding scanning lattice are selected；
Corresponding probe, corresponding sweep limits and corresponding scanning lattice according to the selection, using quantitative nano power
Measurement pattern is learned, the force curve of asphalt sample is obtained.
3. it is according to claim 1 it is a kind of obtain pitch microcosmic surface distributed intelligence method, it is characterised in that the life
Into the Young's modulus distribution map of asphalt sample microcosmic surface, specifically include：
According to the force curve, using Derjaguin-Muler-Toporov models, according to formula (1) and (2)：
Generate the Young's modulus distribution map of asphalt sample microcosmic surface；In formula：The peak force that F-probe applies to sample,
FadhesionAdhesion between-probe and sample, E*- combination modulus, R-probe radius of curvature, δ-sample deformation amount, Vs,
VtipThe Poisson's ratio of-sample, probe, Es,EtipThe Young's modulus of-sample, probe.
4. it is according to claim 1 it is a kind of obtain pitch microcosmic surface distributed intelligence method, it is characterised in that it is described to carry
The three-dimensional data of asphalt sample microcosmic surface Young's modulus distribution map is taken, is specifically included：
The data of Young's modulus distribution map source file are converted into the data of .txt formatted files；
According to the data of the .txt formatted files, the three-dimensional data of Young's modulus distribution map is extracted.
5. it is according to claim 1 it is a kind of obtain pitch microcosmic surface distributed intelligence method, it is characterised in that the system
The Young's modulus distributed intelligence of meter analysis asphalt sample microcosmic surface, including：
According to the three-dimensional data of the extraction, average value, standard deviation and the standard deviation for calculating Z-direction data in three-dimensional data become
Different coefficient；
According to the average value of Z-direction data, standard deviation and the standard deviation coefficient of variation, statistical analysis pitch in the three-dimensional data
The Young's modulus distributed intelligence of sample microcosmic surface.
6. it is a kind of obtain pitch microcosmic surface distributed intelligence system, it is characterised in that the system includes：
Force curve acquisition module, for obtaining force curve, the force curve represents atomic force microscope probe with the pitch sample
Interaction between product surface；
Young's modulus distribution map generation module, for according to the force curve, generating the Young's modulus of asphalt sample microcosmic surface
Distribution map；
Three-dimensional data extraction module, for according to the Young's modulus distribution map, extracting the three-dimensional data of Young's modulus distribution map,
Every in wherein described three-dimensional data has tri- bearing datas of X, Y, Z, and X, Y-direction data represent scanning element plane coordinates, Z
Bearing data represents Young's modulus value；
Young's modulus distributed intelligence statistical module, for according to the three-dimensional data, statistical analysis asphalt sample microcosmic surface
Young's modulus distributed intelligence.
7. it is according to claim 6 it is a kind of obtain pitch microcosmic surface distributed intelligence system, it is characterised in that the power
Curve acquisition module, including：
Probe, sweep limits and scanning lattice selection submodule, for the property according to asphalt sample, selection is corresponding to be visited
Pin, corresponding sweep limits and corresponding scanning lattice；
Force curve acquisition submodule, sweeps for the corresponding probe according to the selection, corresponding sweep limits and accordingly
Described point battle array, using quantitative nano mechanical meaurement pattern, obtains the force curve of asphalt sample.
8. it is according to claim 6 it is a kind of obtain pitch microcosmic surface distributed intelligence system, it is characterised in that the poplar
Family name's modulus distribution map generation module, specifically includes：
The sub- generation module of Young's modulus distribution map, according to the force curve, using Derjaguin-Muler-Toporov models,
Generate the Young's modulus distribution map of asphalt sample microcosmic surface.
9. it is according to claim 6 it is a kind of obtain pitch microcosmic surface distributed intelligence system, it is characterised in that described three
Dimension data extraction module, including：
Data convert submodule, the data for the data of Young's modulus distribution map source file to be converted into .txt formatted files；
Three-dimensional data extracting sub-module, for the data according to the .txt formatted files, extracts the three of Young's modulus distribution map
Dimension data.
10. it is according to claim 6 it is a kind of obtain pitch microcosmic surface distributed intelligence system, it is characterised in that it is described
Young's modulus distributed intelligence statistical module, including：
Average value, standard deviation and standard deviation coefficient of variation calculating sub module, for according to the three-dimensional data extracted, calculating three-dimensional
The average value of Z-direction data, standard deviation and the standard deviation coefficient of variation in data；
Young's modulus distributed intelligence statistic submodule, for according to the average value of Z-direction data, standard deviation in the three-dimensional data
And the standard deviation coefficient of variation, count the Young's modulus distributed intelligence of asphalt sample microcosmic surface.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201611003516.7A CN106769277A (en) | 2016-11-15 | 2016-11-15 | A kind of method and system for obtaining pitch microcosmic surface distributed intelligence |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201611003516.7A CN106769277A (en) | 2016-11-15 | 2016-11-15 | A kind of method and system for obtaining pitch microcosmic surface distributed intelligence |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN106769277A true CN106769277A (en) | 2017-05-31 |
Family
ID=58968691
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201611003516.7A Pending CN106769277A (en) | 2016-11-15 | 2016-11-15 | A kind of method and system for obtaining pitch microcosmic surface distributed intelligence |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN106769277A (en) |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108872284A (en) * | 2018-04-10 | 2018-11-23 | 中国石油大学(北京) | The detection method and device of the micro-nano matrix group structure mechanical attribute of shale |
| CN109738341A (en) * | 2019-02-27 | 2019-05-10 | 广州肖宁道路工程技术研究事务所有限公司 | Core sample grading analysis device and method |
| CN110186811A (en) * | 2019-07-01 | 2019-08-30 | 哈尔滨工业大学 | A kind of pitch Micro dynamic rheological characteristic test method |
| CN113125272A (en) * | 2021-04-25 | 2021-07-16 | 中国石油大学(华东) | Method for quantitatively evaluating mechanical properties of elastic gel dispersoid |
| CN109738341B (en) * | 2019-02-27 | 2024-04-26 | 广州肖宁道路工程技术研究事务所有限公司 | Core sample grading analysis method |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2003323713A (en) * | 2002-05-07 | 2003-11-14 | Teijin Dupont Films Japan Ltd | Polyester film for magnetic recording medium and magnetic recording tape |
| CN101339816A (en) * | 2008-08-08 | 2009-01-07 | 中国科学院上海微系统与信息技术研究所 | Two-dimensional micro-motion platform for atomic force microscope and micro-mechanical parameter test method |
| JP2010074119A (en) * | 2008-08-21 | 2010-04-02 | Ebara Corp | Evaluating method of chemical mechanical polish property of chemical mechanical polish equipment, intra-surface-uniformity evaluating method of material surface, and property evaluating method of slurry chemical |
| CN103185812A (en) * | 2011-12-29 | 2013-07-03 | 中国科学院沈阳自动化研究所 | Physical property measurement system and method for material based on probe force curve |
| CN103529244A (en) * | 2013-10-28 | 2014-01-22 | 东南大学 | Method based on atomic force microscope for researching microscopic characteristics of asphalt |
| CN103901231A (en) * | 2014-04-08 | 2014-07-02 | 东南大学 | Preparation method for asphalt sample suitable for atomic force microscope observation |
| CN104655879A (en) * | 2015-03-05 | 2015-05-27 | 北京大学第三医院 | Method for detecting stiffness of cervical exfoliated cells by AFM (atomic force microscopy) |
-
2016
- 2016-11-15 CN CN201611003516.7A patent/CN106769277A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2003323713A (en) * | 2002-05-07 | 2003-11-14 | Teijin Dupont Films Japan Ltd | Polyester film for magnetic recording medium and magnetic recording tape |
| CN101339816A (en) * | 2008-08-08 | 2009-01-07 | 中国科学院上海微系统与信息技术研究所 | Two-dimensional micro-motion platform for atomic force microscope and micro-mechanical parameter test method |
| JP2010074119A (en) * | 2008-08-21 | 2010-04-02 | Ebara Corp | Evaluating method of chemical mechanical polish property of chemical mechanical polish equipment, intra-surface-uniformity evaluating method of material surface, and property evaluating method of slurry chemical |
| CN103185812A (en) * | 2011-12-29 | 2013-07-03 | 中国科学院沈阳自动化研究所 | Physical property measurement system and method for material based on probe force curve |
| CN103529244A (en) * | 2013-10-28 | 2014-01-22 | 东南大学 | Method based on atomic force microscope for researching microscopic characteristics of asphalt |
| CN103901231A (en) * | 2014-04-08 | 2014-07-02 | 东南大学 | Preparation method for asphalt sample suitable for atomic force microscope observation |
| CN104655879A (en) * | 2015-03-05 | 2015-05-27 | 北京大学第三医院 | Method for detecting stiffness of cervical exfoliated cells by AFM (atomic force microscopy) |
Non-Patent Citations (4)
| Title |
|---|
| 不懂1加1: "原子力显微镜操作总结", 《百度文库》 * |
| 庞骁奕: "基于AFM 与表面能原理的沥青与集料粘附特性分析", 《中国优秀硕士学位论文全文数据库》 * |
| 赖添茂: "基于接触几何的纳米尺度下的粘着研究", 《中国博士学位论文全文数据库 工程科技II辑》 * |
| 韩贤武: "高精度AFM的研制及在机械和小分子结构中的应用", 《中国博士学位论文全文数据库 工程科技II辑》 * |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108872284A (en) * | 2018-04-10 | 2018-11-23 | 中国石油大学(北京) | The detection method and device of the micro-nano matrix group structure mechanical attribute of shale |
| CN109738341A (en) * | 2019-02-27 | 2019-05-10 | 广州肖宁道路工程技术研究事务所有限公司 | Core sample grading analysis device and method |
| CN109738341B (en) * | 2019-02-27 | 2024-04-26 | 广州肖宁道路工程技术研究事务所有限公司 | Core sample grading analysis method |
| CN110186811A (en) * | 2019-07-01 | 2019-08-30 | 哈尔滨工业大学 | A kind of pitch Micro dynamic rheological characteristic test method |
| CN110186811B (en) * | 2019-07-01 | 2021-06-25 | 哈尔滨工业大学 | Method for testing microcosmic dynamic rheological property of asphalt |
| CN113125272A (en) * | 2021-04-25 | 2021-07-16 | 中国石油大学(华东) | Method for quantitatively evaluating mechanical properties of elastic gel dispersoid |
| CN113125272B (en) * | 2021-04-25 | 2022-06-28 | 中国石油大学(华东) | Method for quantitatively evaluating mechanical properties of elastic gel dispersion |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN106769277A (en) | A kind of method and system for obtaining pitch microcosmic surface distributed intelligence | |
| Rowenhorst et al. | 3D crystallographic and morphological analysis of coarse martensite: Combining EBSD and serial sectioning | |
| Giorgi et al. | The road towards RegCM4 | |
| CN103529244A (en) | Method based on atomic force microscope for researching microscopic characteristics of asphalt | |
| CN103529189B (en) | A kind of soil organism space distribution Forecasting Methodology based on quantitative and qualitative analysis auxiliary variable | |
| CN103514341A (en) | Wind resource assessment method based on numerical weather prediction and computational fluid dynamics | |
| CN103366377B (en) | A kind of micro-contact performance based on shape characteristic and image threshold disposal route | |
| Stramska et al. | Recent multiyear trends in the Baltic Sea level | |
| CN104123428B (en) | CMP emulation mode and its analogue system | |
| CN105005694A (en) | Frequency domain analysis method of bridge fatigue life on the basis of dynamic weighing system | |
| CN107402175A (en) | A kind of fractal prediction method of soil-water characteristic curve under deformation condition | |
| Errico et al. | Comparison of initial and lateral boundary condition sensitivity for a limited‐area model | |
| CN102981023A (en) | Method for measuring surface potential by using electrostatic force microscope | |
| CN104294745A (en) | Detection method of skid resistance of asphalt pavement based on three-dimensional fractal dimension | |
| CN106979897A (en) | A kind of measuring method of nano material limiting shearing stress | |
| CN104424373A (en) | Elaborate expression method for space variable correlation | |
| CN108072597A (en) | Atmosphere particle concentration monitoring method based on support vector machines and leaf magnetics | |
| CN104657548A (en) | Modeling method for radiation array plane error of planar slot array antenna | |
| CN110068498A (en) | The dynamic mechanical analysis method of asphalt viscoelasticity | |
| Yuan et al. | Research on the reconstruction of fast and accurate AFM probe model | |
| CN104279956A (en) | Determination method for rock structural surface reference plane | |
| Liu et al. | Model test and 3 d numerical simulation study on excavation of double-arch tunnel. | |
| CN114428040A (en) | Quantitative characterization and parameter acquisition method for shale oil reservoir storage and seepage space | |
| CN105571933A (en) | Asphalt mixture multi-stage loading high-temperature creep test method based on axle load spectrum | |
| Chiolerio et al. | Towards a quantitative analysis of magnetic force microscopy data matrices |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20170531 |