CN106023233B - A method of macro-texture on assessment Asphalt mix for open-graded friction course vertical bidirectional - Google Patents
A method of macro-texture on assessment Asphalt mix for open-graded friction course vertical bidirectional Download PDFInfo
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- CN106023233B CN106023233B CN201610403596.9A CN201610403596A CN106023233B CN 106023233 B CN106023233 B CN 106023233B CN 201610403596 A CN201610403596 A CN 201610403596A CN 106023233 B CN106023233 B CN 106023233B
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
- G06T7/0004—Industrial image inspection
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30248—Vehicle exterior or interior
- G06T2207/30252—Vehicle exterior; Vicinity of vehicle
- G06T2207/30256—Lane; Road marking
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Abstract
The invention discloses a kind of methods of macro-texture on assessment Asphalt mix for open-graded friction course vertical bidirectional, it is characterized in that, paper image is digitized, each region is calculated in the effective area for being parallel and perpendicular to reference direction, then finds out lateral effective area and longitudinal the ratio between effective area and total image area P respectivelyHAnd PV, to evaluate the complexity of Asphalt mix for open-graded friction course macro-texture in two directions, reflect the antiskid performance of road surface in two directions indirectly.Advantageous effects of the invention: (1) accurately calculates each region area S for catching aqueous pigment by image analysis softwarei, each region equivalent elliptical long axis and reference direction angle thetai, with degree of roughness of the effective area characterization mixture in vertical both direction, reflect the antiskid performance of mixture indirectly；(2) this method is easy, overcomes the defect that existing method accuracy is not high, complicated for operation.
Description
Technical field
The present invention relates to a kind of methods of macro-texture on assessment Asphalt mix for open-graded friction course vertical bidirectional, and it is mixed to belong to pitch
The detection and assessment technique field of solidifying soil surface service performance.
Background technique
With the continuous development of highway in China building cause, the performance requirement of highway is also continuously improved in people.In order to
Meet people for the safety of vehicle driving and the requirement of comfort, road traffic worker has developed big gap asphalt road
Face.The voidage of big gap bituminous pavement top can form drainage channel and by rainwater 18%~25% inside surface layer
Laterally discharge improves the safety of road surface friction force and vehicle rainy day traveling to eliminate road table moisture film.And big gap asphalt road
Face macro-texture is a key factor for influencing its frictional force, when road surface macro-texture is in more complicated, the vehicle along road longitudinal direction
Bigger by frictional force when straight-line travelling, vehicle is safer；When road surface macro-texture is more complicated in road transverse direction, vehicle turns
It is safer when curved, it is therefore necessary to carry out the research of macro-texture on road pavement vertical bidirectional.
Currently, the method for detection asphalt concrete pavement texture complexity degree is mainly sand patch method, principle is will be known
The fine sand of volume paves on measuring point, measures the area covered after fine sand is paved, calculates the ratio between volume and area coverage of sand i.e.
Show that the degree of roughness on road surface is higher, antiskid performance is better if the construction depth measured is bigger for construction depth.But sanding
Method is only applicable to close-graded pavement structure, the asphalt concrete pavement high for voidage, can be into using fine sand when sand patch method
Enter in big gap, hole phenomenon occur, causes measurement result to be greater than actual configuration depth value, so that evaluation result is inaccurate.
In order to evaluate the macro-texture of big gap bituminous pavement, there is scholar to propose that a kind of gray level image method measures big gap bituminous pavement structure
Depth test method is made, this method calculates construction depth by the road surface construction figure progress gray proces to acquisition,
But there is also obvious disadvantages for this method, mainly: the image obtained at different brightnesses is there are notable difference, obtained result
Lack accuracy；It is high to promote difficulty for measurement method complex steps.
In conclusion at present about evaluation Asphalt mix for open-graded friction course coarse texture degree method all existing defects, by
This obtained result can not the actual macro-texture construction of accurate characterization mixture.More importantly the above method for
The description of the macro-texture of mixture be all it is general, lack the research to macro-texture on vertical bidirectional.Therefore, it is necessary to send out
The method of macro-texture on the evaluation Asphalt mix for open-graded friction course vertical bidirectional of bright one kind out.
Summary of the invention
To solve the deficiencies in the prior art, the purpose of the present invention is to provide a kind of assessment Asphalt mix for open-graded friction course is vertical
The method of two-way upper macro-texture, with reflect indirectly mixture in horizontal and vertical antiskid performance, it is easily operated and accurate
Degree is high.
In order to achieve the above objectives, the present invention adopts the following technical scheme that:
A method of macro-texture on assessment Asphalt mix for open-graded friction course vertical bidirectional, characterized in that including walking as follows
It is rapid:
1) aqueous pigment is uniformly smeared in the upper surface of the board-like test specimen of Asphalt mix for open-graded friction course to be assessed, by a Zhang Bai
Paper is covered on mixture upper surface, applies evenly load straight down above blank sheet of paper, obtains mixture upper surface macroscopic view line
The paper image of reason；
2) paper image is digitized and is transferred in image analysis software Image-Pro Plus, with square blank sheet of paper one
The direction on side carries out image analysis as reference direction, using software, obtains total image area SZ, catch aqueous face in image
Each region area S of materiali, each region equivalent elliptical long axis and reference direction angle thetai, i=1,2 ..., n, n is
Catch the areal of aqueous pigment；
3) it utilizesIt is total to calculate separately out color region transverse direction effective area
And SHWith longitudinal effective area summation SV；
4) it utilizesCalculate separately lateral effective area indices PH, longitudinal effective area indices PV,
To assess the macro-texture of Asphalt mix for open-graded friction course in two directions, reflect pavement skid resistance condition indirectly.
Further, the size of blank sheet of paper is 200mm × 200mm in the step 1).
Preferably, the evenly load size of the step 1) is 0.25N/cm2。
Further, image analysis software uses Image Pro Plus in the step 2).
Preferably, paper image is converted to electronic image in bright light environments by digital camera and passed by the step 2)
It is defeated into software.
Further, the step 3) and 4) in the unit of area be pixel2。
Advantageous effects of the invention: (1) is accurately calculated by image analysis software catches each of aqueous pigment
Region area Si, each region equivalent elliptical long axis and reference direction angle thetai, hung down with effective area characterization mixture
Degree of roughness in straight both direction, reflects the antiskid performance of mixture indirectly；(2) this method is easy, overcomes existing method
Not high, the complicated for operation defect of accuracy.
Detailed description of the invention
Fig. 1 is the upper surface texture image of the first test block to be checked；
Fig. 2 is the partial enlarged view of the process step 2) processing of image shown in Fig. 1；
Fig. 3 is the upper surface texture image of the second test block to be checked.
Specific embodiment
The invention will be further described below in conjunction with the accompanying drawings.Following embodiment is only used for clearly illustrating the present invention
Technical solution, and not intended to limit the protection scope of the present invention.
The molding of the board-like test specimen of step 1) Asphalt mix for open-graded friction course
SBS modified pitch is selected, gradation shown in the bitumen aggregate ratio and table 1 using 4.9% is rolled into respectively in laboratory
The board-like test specimen of 2 pieces of Asphalt mix for open-graded friction course of type is stored at normal temperature having a size of long 300mm × wide 300mm × thickness 50mm
It demoulds afterwards for 24 hours.
1 Asphalt mix for open-graded friction course gradation of table
It is further applied load to obtain mixture macro-texture:
Blueing black ink is dipped in brush, then ink is uniformly applied to table on the first bitumen mixture specimen to be detected
The blank sheet of paper of one 200mm × 200mm is covered on above test specimen by face, and the plank of one piece of weight 100N is loaded above blank sheet of paper, is made
Blank sheet of paper uniform force everywhere；Load is shed after 10s and removes blank sheet of paper, obtains the first test block macro-texture papery figure to be checked
Picture.
It repeats this step and obtains the second bitumen mixture specimen macro-texture paper image to be detected.
Step 2) software analyzes test specimen macro-texture
Two pieces of paper matter image is shot using digital camera, electronic image is transferred on computer；Open image analysis software
Image Pro Plus is first loaded into the first test block macro-texture picture to be checked, along the side of square blank sheet of paper a line
To as reference direction, measure-count/size is clicked, category measurement window is popped up, selects the measure dish in window
It is single, select measure is clicked, area and angle option are chosen, then clicks count, system automatically analyzes image and obtains
The area of color each region, the angle of region equivalent elliptical long axis and reference direction are caught on to picture, click file-
Data to clipboard opens the selection stickup of excel software and imports data into table, 1137 groups of data are obtained.
It repeats this step and obtains the data of the second test block to be checked, amount to 1221 groups.Single pigmented section in two test specimens
Maximum ten groups of data of area are as shown in table 2.
Table maximum ten groups of data of 2 area
Step 3) data processing
S is calculated by softwareZFor 50000 pixels2.To 1137 groups of data of the first test block to be checked, by every group of data
Area and angle according toIt is handled, obtaining the effectively lateral gross area is
28438 pixels2, the effectively longitudinal direction gross area is 23542 pixels2.According toObtain effective horizontal area indices PH1=
0.57, according toObtain effective longitudinal area indices PV1=0.47.
Identical processing is carried out to the data of the second test block to be checked, obtains effectively 15356 pixel of the lateral gross area2, have
Imitating longitudinal gross area is 12022 pixels2.According toObtain effective horizontal area indices PH2=0.31, according to
Obtain effective longitudinal area indices PV2=0.24.
Step 4) evaluates Asphalt mix for open-graded friction course macro-texture
According to above data, it will thus be seen that PH1>PH2, and PV1>PV2, show compared to the second test block to be checked, first to
It detects test specimen either cross grain or longitudinal texture is all more coarse.Therefore, the antiskid performance of the second test block to be checked is more
It is good.
The above is only a preferred embodiment of the present invention, it is noted that for the ordinary skill people of the art
For member, without departing from the technical principles of the invention, several improvement and deformations can also be made, these improvement and deformations
Also it should be regarded as protection scope of the present invention.
Claims (6)
1. a kind of method of macro-texture on assessment Asphalt mix for open-graded friction course vertical bidirectional, characterized in that include the following steps:
1) aqueous pigment is uniformly smeared in the upper surface of the board-like test specimen of Asphalt mix for open-graded friction course to be assessed, a blank sheet of paper is covered
It covers in mixture upper surface, applies evenly load straight down above blank sheet of paper, obtain mixture upper surface macro-texture
Paper image；
2) paper image is digitized and is transferred in image analysis software, using the direction along square blank sheet of paper a line as
Reference direction carries out image analysis using software, obtains total image area SZ, each region face of aqueous pigment is caught in image
Product Si, each region equivalent elliptical long axis and reference direction angle thetai, i=1,2 ..., n, n is to catch aqueous pigment
Areal；
3) it utilizesWithCalculate separately out color region transverse direction effective area summation SH
With longitudinal effective area summation SV；
4) it utilizesWithCalculate separately lateral effective area indices PH, longitudinal effective area indices PV, to comment
Estimate the macro-texture of Asphalt mix for open-graded friction course in two directions, reflects pavement skid resistance condition indirectly.
2. the method for macro-texture on a kind of assessment Asphalt mix for open-graded friction course vertical bidirectional according to claim 1,
It is characterized in, the size of blank sheet of paper is 200mm × 200mm in the step 1).
3. the method for macro-texture on a kind of assessment Asphalt mix for open-graded friction course vertical bidirectional according to claim 1,
It is characterized in, the evenly load size of the step 1) is 0.25N/cm2。
4. the method for macro-texture on a kind of assessment Asphalt mix for open-graded friction course vertical bidirectional according to claim 1,
It is characterized in, image analysis software uses Image-Pro Plus in the step 2).
5. the method according to claim 1, wherein the step 2) is incited somebody to action in bright light environments by digital camera
Paper image is converted to electronic image and is transferred in software.
6. the method according to claim 1, wherein the step 3) and 4) in the unit of area be pixel2。
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| CN108411747B (en) * | 2018-02-09 | 2021-04-06 | 四川科路泰交通科技有限公司 | Texture homogeneity test method for drainage asphalt pavement |
| CN111257545A (en) * | 2020-03-09 | 2020-06-09 | 南京林业大学 | Macroscopic texture testing method for sand grain type large-gap asphalt concrete |
| CN111965339A (en) * | 2020-08-10 | 2020-11-20 | 南京林业大学 | Method for testing oil bleeding degree of gravel seal and method for determining asphalt using amount |
| CN114354481B (en) * | 2022-01-14 | 2023-11-21 | 中交建冀交高速公路投资发展有限公司 | Method for acquiring and evaluating two-dimensional surface texture of asphalt pavement |
| CN116973302B (en) * | 2023-09-20 | 2024-01-23 | 四川省交通勘察设计研究院有限公司 | Road surface anti-skid performance detection method, device, equipment and medium |
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| CN103292749A (en) * | 2013-06-08 | 2013-09-11 | 重庆交通大学 | Method for detecting road surface macrostructure distribution by utilizing digital picture processing technology |
| CN104361579A (en) * | 2014-10-21 | 2015-02-18 | 河海大学 | Method for assessing anisotropy degrees of asphalt mixtures |
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