CN106644855A - Measuring method for particle diameter of blocking particles in pervious concrete, and pervious concrete grading detection method - Google Patents
Measuring method for particle diameter of blocking particles in pervious concrete, and pervious concrete grading detection method Download PDFInfo
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- CN106644855A CN106644855A CN201611117571.9A CN201611117571A CN106644855A CN 106644855 A CN106644855 A CN 106644855A CN 201611117571 A CN201611117571 A CN 201611117571A CN 106644855 A CN106644855 A CN 106644855A
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- 239000002245 particle Substances 0.000 title claims abstract description 128
- 239000011380 pervious concrete Substances 0.000 title claims abstract description 115
- 238000000034 method Methods 0.000 title claims abstract description 30
- 238000001514 detection method Methods 0.000 title claims abstract description 17
- 230000000903 blocking effect Effects 0.000 title claims abstract description 14
- 239000000463 material Substances 0.000 claims abstract description 84
- 238000012545 processing Methods 0.000 claims description 15
- 230000002087 whitening effect Effects 0.000 claims description 9
- 230000011218 segmentation Effects 0.000 abstract 1
- 230000001131 transforming effect Effects 0.000 abstract 1
- 238000006243 chemical reaction Methods 0.000 description 9
- 239000002689 soil Substances 0.000 description 8
- 238000005259 measurement Methods 0.000 description 6
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 5
- 230000015271 coagulation Effects 0.000 description 4
- 238000005345 coagulation Methods 0.000 description 4
- 238000004458 analytical method Methods 0.000 description 3
- 230000002596 correlated effect Effects 0.000 description 3
- 230000000875 corresponding effect Effects 0.000 description 3
- 239000000203 mixture Substances 0.000 description 3
- 239000011148 porous material Substances 0.000 description 3
- 238000011160 research Methods 0.000 description 2
- 238000009738 saturating Methods 0.000 description 2
- 238000010521 absorption reaction Methods 0.000 description 1
- 239000012615 aggregate Substances 0.000 description 1
- 238000003556 assay Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 239000004568 cement Substances 0.000 description 1
- 239000004567 concrete Substances 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000000977 initiatory effect Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000035515 penetration Effects 0.000 description 1
- 239000012466 permeate Substances 0.000 description 1
- 239000004576 sand Substances 0.000 description 1
- 238000012216 screening Methods 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
- G01N15/00—Investigating characteristics of particles; Investigating permeability, pore-volume or surface-area of porous materials
- G01N15/02—Investigating particle size or size distribution
- G01N15/0205—Investigating particle size or size distribution by optical means
- G01N15/0227—Investigating particle size or size distribution by optical means using imaging; using holography
-
- 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
- G01N21/84—Systems specially adapted for particular applications
-
- 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
- G01N21/84—Systems specially adapted for particular applications
- G01N2021/8405—Application to two-phase or mixed materials, e.g. gas dissolved in liquids
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- Chemical & Material Sciences (AREA)
- Physics & Mathematics (AREA)
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Analytical Chemistry (AREA)
- Biochemistry (AREA)
- General Health & Medical Sciences (AREA)
- General Physics & Mathematics (AREA)
- Immunology (AREA)
- Pathology (AREA)
- Dispersion Chemistry (AREA)
- Image Processing (AREA)
Abstract
The invention discloses a measuring method for the particle diameter of blocking particles in pervious concrete, and a pervious concrete grading detection method. The measuring method includes optionally selecting a group of pervious concrete materials, putting the pervious concrete materials in a preset region, collecting an image of the pervious concrete materials, and taking the image as an original image of the pervious concrete materials, wherein the blocking particles in the pervious concrete materials are placed optionally and do not overlap; transforming a pixel value of the original image into a distance value, subjecting the original image to black-and-white treatment to obtain a black-and-white image, and turning all the blocking particles in the pervious concrete materials to uniform black; calculating the area of each blocking particle in the black-and-white image according to a threshold segmentation method, and directly calculating the particle diameter of each blocking particle in the pervious concrete materials according to a preset condition that the blocking particles are spherical.
Description
Technical field
The invention belongs in field of civil engineering, more particularly to a kind of pervious concrete plugging particle Particle Size Determination Method and
Level matches somebody with somebody detection method.
Background technology
Compared with normal concrete, pervious concrete has ventilative, permeable, sqouynd absorption lowering noise, purifying water body, improves ground surface soil
The excellent performance of the ecological environment of earth, alleviation rainwash and urban heat land effect etc..Pervious concrete, it is mixed also known as porous
Solidifying soil, is made up of coarse aggregate, water and cement etc..The high pore structure of pervious concrete causes road surface to have good water penetration
Can, rainwater can be allowed quickly to permeate the ground, so as to effectively reduce or eliminate the flood of urban storm initiation, this will be in China
" the sponge city " implemented plays a significant role in building.However, what is contained in the rainwash produced due to rainfall is big
Amount suspended particulate (such as silt particle, chip), these particles can constantly enter porous pavement hole with current, cause pore plugging,
Pervious concrete pavement permeance property is constantly reduced.
For plugging particles such as soil, gravels, the measuring method of conventional grain diameter is sieve method.Traditional sieve method
Due to according to national standard specification《Building sand》(GB/T14684-2011) regulation screening pore size include 0.15mm,
0.3mm, 0.6mm, 1.18mm, 2.36mm, 4.75mm and 9.5mm, sieve aperture scope is less, the accuracy for causing grain diameter to measure
It is poor and workload is big.
The content of the invention
In order to solve the shortcoming of prior art, the first object of the present invention is to provide plugging particle in a kind of pervious concrete
Characteristic size assay method.
Plugging particle Particle Size Determination Method in a kind of pervious concrete, including：
Step 1：Randomly select one group of pervious concrete material and be placed on and preset in region, gather the permeable coagulation of the group
The image of soil material and as the original image of this group of pervious concrete material；Wherein, the blocking in pervious concrete material
Grain is randomly placed and non-overlapping copies；
Step 2：The pixel value of original image is converted into distance value, then original image is carried out into black whitening processing, obtained
Black white image so that plugging particle is converted into unified black in this group of pervious concrete material；
Step 3：The area of each plugging particle in black white image is asked for respectively according to thresholding method, further according to default stifled
Being shaped as plug particle is spherical, directly obtains the particle size of each plugging particle in this group of pervious concrete material.
The present invention presets the pervious concrete images of materials of region area by obtaining, wherein, pervious concrete material
Plugging particle in material is randomly placed and non-overlapping copies；And the image to gathering carries out black whitening processing and plugging particle area
Ask for, be shaped as spherical further according to default plugging particle, directly obtain in this group of pervious concrete material each blocking
The particle size of grain, experimental implementation is simple, convenient data processing, improves the accuracy of grain diameter measurement and reduces work
Measure, finally cause result reliable and stable, the particle size data of the plugging particle for finally obtaining can be further used for grinding
Study carefully the correlated performances such as the impact that grain composition is blocked to pervious concrete.
Further, in step 1 region is preset for square area.
It can also be the region of other shapes to preset region, but square area, facilitate post analysis.
Further, in step 2, the distance value of original image is converted into pixel value using ImageJ softwares.
Wherein, ImageJ softwares be existing image processing software, the ImageJ software processings can realize image away from
Mutual conversion between value and pixel value.When the image of collection is pixel image, specific operation process is：
Image to be transformed is imported into scale of the ImageJ softwares in image to be transformed, pixel value is completed with distance value
Conversion.
Further, the figure of pervious concrete material is gathered using the video camera for being not less than 3,000,000 pixels in step 1
Picture.Clearly pervious concrete images of materials can so be collected, be successive image process ask for plugging particle particle diameter it is big
Little accuracy, it is significant.
Further, place one graduated ruler presetting in region, using the ruler as original image
Pixel value be converted to the criterion distance of distance value.So can close setting up between the corresponding distance of ruler in figure and pixel value
System, is conversion that the pixel value of image is converted between distance value, there is provided transformational relation.
The second object of the present invention is to provide a kind of pervious concrete level with detection method.
A kind of pervious concrete level of the present invention matches somebody with somebody detection method, including：
Step 1：Randomly select one group of pervious concrete material and be placed on and preset in region, gather the permeable coagulation of the group
The image of soil material and as the original image of this group of pervious concrete material；Wherein, the blocking in pervious concrete material
Grain is randomly placed and non-overlapping copies；
Step 2：The pixel value of original image is converted into distance value, then original image is carried out into black whitening processing, obtained
Black white image so that plugging particle is converted into unified black in this group of pervious concrete material；
Step 3：The area of each plugging particle in black white image is asked for respectively according to thresholding method, further according to default stifled
Being shaped as plug particle is spherical, directly obtains the particle size of each plugging particle in this group of pervious concrete material；
Step 4：It is according to the density of default plugging particle, the particle diameter of each plugging particle in pervious concrete material is big
It is little to be converted into quality size, and then construct grading curve；Further according to formula CU=d60/d10, ask for pervious concrete material
The nonuniformity coefficient C of plugging particle in materialU；The nonuniformity coefficient C of plugging particle in pervious concrete materialUSpan be 0
～1, CUBigger, then pervious concrete level is with better；Wherein, d10It is weight accounts for 10% in grading curve particle diameter；d60
It is weight accounts for 60% in grading curve particle diameter.
The pervious concrete level of the present invention matches somebody with somebody detection method, first, directly pervious concrete images of materials is adopted
Collection and image procossing, obtain the particle size of each plugging particle in pervious concrete material, and experimental implementation is simple, data processing
It is convenient, improve the accuracy of grain diameter measurement and reduce workload；Then, then by the particle diameter of the plugging particle for obtaining
Size is converted into quality size, and then constructs grading curve；Finally according to grading curve and pervious concrete material
The nonuniformity coefficient C of plugging particle in materialUSolution formula, obtains pervious concrete level with level performance.
Beneficial effects of the present invention are：
(1) present invention presets the pervious concrete images of materials of region area by acquisition, wherein, pervious concrete
Plugging particle in material is randomly placed and non-overlapping copies；And the image to gathering carries out black whitening processing and plugging particle face
Long-pending asks for, and is shaped as spherical further according to default plugging particle, directly obtains in this group of pervious concrete material each blocking
The particle size of particle, experimental implementation is simple, convenient data processing, improves the accuracy of grain diameter measurement and reduces
Workload, finally causes result reliable and stable, and the particle size data of the plugging particle for finally obtaining can be further used for
The correlated performances such as the impact that research grain composition is blocked to pervious concrete.
(2) the pervious concrete level of the invention matches somebody with somebody detection method, first, directly pervious concrete images of materials is carried out
Collection and image procossing, obtain the particle size of each plugging particle in pervious concrete material, and experimental implementation is simple, at data
Reason is convenient, improves the accuracy of grain diameter measurement and reduces workload；Then, then by the grain of the plugging particle for obtaining
Footpath size is converted into quality size, and then constructs grading curve；Finally according to grading curve and pervious concrete
The nonuniformity coefficient C of plugging particle in materialUSolution formula, obtains pervious concrete level with level performance
Description of the drawings
Fig. 1 is the flow chart of plugging particle Particle Size Determination Method in a kind of pervious concrete of the invention.
Fig. 2 is a kind of flow chart of pervious concrete level with detection method of the present invention.
Specific embodiment
Below in conjunction with the accompanying drawings the present invention will be further described with embodiment：
Fig. 1 is the flow chart of plugging particle Particle Size Determination Method in a kind of pervious concrete of the invention.As shown in Figure 1
Plugging particle Particle Size Determination Method in a kind of pervious concrete, including step 1～step 3.
Wherein, step 1：Randomly select one group of pervious concrete material and be placed on and preset in region, gather the group saturating
The image of water coagulation soil material and as the original image of this group of pervious concrete material；Wherein, in pervious concrete material
Plugging particle is randomly placed and non-overlapping copies.
Preferably, in step 1 region is preset for square area.
It can also be the region of other shapes to preset region, but square area, facilitate post analysis.
Preferably, the figure of pervious concrete material is gathered using the video camera for being not less than 3,000,000 pixels in step 1
Picture.Clearly pervious concrete images of materials can so be collected, be successive image process ask for plugging particle particle diameter it is big
Little accuracy, it is significant.
Preferably, place one graduated ruler presetting in region, using the ruler as original image
Pixel value is converted to the criterion distance of distance value.So can close setting up between the corresponding distance of ruler in figure and pixel value
System, is conversion that the pixel value of image is converted between distance value, there is provided transformational relation.
Step 2：The pixel value of original image is converted into distance value, then original image is carried out into black whitening processing, obtained
Black white image so that plugging particle is converted into unified black in this group of pervious concrete material.
Preferably, in step 2, the distance value of original image is converted into pixel value using ImageJ softwares.
Wherein, ImageJ softwares be existing image processing software, the ImageJ software processings can realize image away from
Mutual conversion between value and pixel value.When the image of collection is pixel image, specific operation process is：
Image to be transformed is imported into scale of the ImageJ softwares in image to be transformed, pixel value is completed with distance value
Conversion.
The distance value of original image can also be converted to pixel value by the present invention using other existing image processing softwares.
Step 3：The area of each plugging particle in black white image is asked for respectively according to thresholding method, further according to default stifled
Being shaped as plug particle is spherical, directly obtains the particle size of each plugging particle in this group of pervious concrete material.
The present embodiment presets the pervious concrete images of materials of region area by obtaining, wherein, pervious concrete
Plugging particle in material is randomly placed and non-overlapping copies；And the image to gathering carries out black whitening processing and plugging particle face
Long-pending asks for, and is shaped as spherical further according to default plugging particle, directly obtains in this group of pervious concrete material each blocking
The particle size of particle, experimental implementation is simple, convenient data processing, improves the accuracy of grain diameter measurement and reduces
Workload, finally causes result reliable and stable, and the particle size data of the plugging particle for finally obtaining can be further used for
The correlated performances such as the impact that research grain composition is blocked to pervious concrete.
Fig. 2 is a kind of flow chart of pervious concrete level with detection method of the present invention.As shown in Figure 2 is a kind of permeable mixed
Solidifying soil class matches somebody with somebody detection method, including step 1～step 4.
Wherein, step 1：Randomly select one group of pervious concrete material and be placed on and preset in region, gather the group saturating
The image of water coagulation soil material and as the original image of this group of pervious concrete material；Wherein, in pervious concrete material
Plugging particle is randomly placed and non-overlapping copies.
Preferably, in step 1 region is preset for square area.
It can also be the region of other shapes to preset region, but square area, facilitate post analysis.
Preferably, the figure of pervious concrete material is gathered using the video camera for being not less than 3,000,000 pixels in step 1
Picture.Clearly pervious concrete images of materials can so be collected, be successive image process ask for plugging particle particle diameter it is big
Little accuracy, it is significant.
Preferably, place one graduated ruler presetting in region, using the ruler as original image
Pixel value is converted to the criterion distance of distance value.So can close setting up between the corresponding distance of ruler in figure and pixel value
System, is conversion that the pixel value of image is converted between distance value, there is provided transformational relation.
Step 2：The pixel value of original image is converted into distance value, then original image is carried out into black whitening processing, obtained
Black white image so that plugging particle is converted into unified black in this group of pervious concrete material.
Preferably, in step 2, the distance value of original image is converted into pixel value using ImageJ softwares.
Wherein, ImageJ softwares be existing image processing software, the ImageJ software processings can realize image away from
Mutual conversion between value and pixel value.When the image of collection is pixel image, specific operation process is：
Image to be transformed is imported into scale of the ImageJ softwares in image to be transformed, pixel value is completed with distance value
Conversion.
The distance value of original image can also be converted to pixel value by the present invention using other existing image processing softwares.
Step 3：The area of each plugging particle in black white image is asked for respectively according to thresholding method, further according to default stifled
Being shaped as plug particle is spherical, directly obtains the particle size of each plugging particle in this group of pervious concrete material.
Step 4：It is according to the density of default plugging particle, the particle diameter of each plugging particle in pervious concrete material is big
It is little to be converted into quality size, and then construct grading curve；Further according to formula CU=d60/d10, ask for pervious concrete material
The nonuniformity coefficient C of plugging particle in materialU；The nonuniformity coefficient C of plugging particle in pervious concrete materialUSpan be 0
～1, CUBigger, then pervious concrete level is with better；Wherein, d10It is weight accounts for 10% in grading curve particle diameter；d60
It is weight accounts for 60% in grading curve particle diameter.
The pervious concrete level of the present embodiment matches somebody with somebody detection method, first, directly pervious concrete images of materials is carried out
Collection and image procossing, obtain the particle size of each plugging particle in pervious concrete material, and experimental implementation is simple, at data
Reason is convenient, improves the accuracy of grain diameter measurement and reduces workload；Then, then by the grain of the plugging particle for obtaining
Footpath size is converted into quality size, and then constructs grading curve；Finally according to grading curve and pervious concrete
The nonuniformity coefficient C of plugging particle in materialUSolution formula, obtains pervious concrete level with level performance.
Although the above-mentioned accompanying drawing that combines is described to the specific embodiment of the present invention, not to present invention protection model
The restriction enclosed, one of ordinary skill in the art should be understood that on the basis of technical scheme those skilled in the art are not
Need the various modifications made by paying creative work or deformation still within protection scope of the present invention.
Claims (10)
1. plugging particle Particle Size Determination Method in a kind of pervious concrete, it is characterised in that include：
Step 1：Randomly select one group of pervious concrete material and be placed on and preset in region, gather this group of pervious concrete material
The image of material and as the original image of this group of pervious concrete material；Wherein, the plugging particle in pervious concrete material with
Machine is placed and non-overlapping copies；
Step 2：The pixel value of original image is converted into distance value, then original image is carried out into black whitening processing, obtain black and white
Image so that plugging particle is converted into unified black in this group of pervious concrete material；
Step 3：The area of each plugging particle in black white image is asked for respectively according to thresholding method, further according to default blocking
Being shaped as grain is spherical, directly obtains the particle size of each plugging particle in this group of pervious concrete material.
2. plugging particle Particle Size Determination Method in a kind of pervious concrete as claimed in claim 1, it is characterised in that the step
In rapid 1 region is preset for square area.
3. plugging particle Particle Size Determination Method in a kind of pervious concrete as claimed in claim 1, it is characterised in that the step
In rapid 2, the distance value of original image is converted into pixel value using ImageJ softwares.
4. plugging particle Particle Size Determination Method in a kind of pervious concrete as claimed in claim 1, it is characterised in that it is described
The image of pervious concrete material is gathered in step 1 using the video camera for being not less than 3,000,000 pixels.
5. plugging particle Particle Size Determination Method in a kind of pervious concrete as claimed in claim 1, it is characterised in that advance
One is placed in setting regions graduated ruler, using the ruler as the pixel value of original image be converted to distance value away from
From standard.
6. a kind of pervious concrete level matches somebody with somebody detection method, it is characterised in that include：
Step 1：Randomly select one group of pervious concrete material and be placed on and preset in region, gather this group of pervious concrete material
The image of material and as the original image of this group of pervious concrete material；Wherein, the plugging particle in pervious concrete material with
Machine is placed and non-overlapping copies；
Step 2：The pixel value of original image is converted into distance value, then original image is carried out into black whitening processing, obtain black and white
Image so that plugging particle is converted into unified black in this group of pervious concrete material；
Step 3：The area of each plugging particle in black white image is asked for respectively according to thresholding method, further according to default blocking
Being shaped as grain is spherical, directly obtains the particle size of each plugging particle in this group of pervious concrete material；
Step 4：According to the density of default plugging particle, the particle size of each plugging particle in pervious concrete material is turned
Quality size is turned to, and then constructs grading curve；Further according to formula CU=d60/d10, in asking for pervious concrete material
The nonuniformity coefficient C of plugging particleU；The nonuniformity coefficient C of plugging particle in pervious concrete materialUSpan be 0～1,
CUBigger, then pervious concrete level is with better；Wherein, d10It is weight accounts for 10% in grading curve particle diameter；d60Be
Weight accounts for 60% particle diameter in grading curve.
7. a kind of pervious concrete level as claimed in claim 6 matches somebody with somebody detection method, it is characterised in that pre- in the step 1
First setting regions is square area.
8. a kind of pervious concrete level as claimed in claim 6 matches somebody with somebody detection method, it is characterised in that in the step 2, utilizes
The distance value of original image is converted to pixel value by ImageJ softwares.
9. a kind of pervious concrete level as claimed in claim 6 matches somebody with somebody detection method, it is characterised in that described to adopt in step 1
The image of pervious concrete material is gathered with the video camera for being not less than 3,000,000 pixels.
10. a kind of pervious concrete level as claimed in claim 6 matches somebody with somebody detection method, it is characterised in that presetting region
It is interior to place one graduated ruler, the ruler is converted into the criterion distance of distance value as the pixel value of original image.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201611117571.9A CN106644855A (en) | 2016-12-07 | 2016-12-07 | Measuring method for particle diameter of blocking particles in pervious concrete, and pervious concrete grading detection method |
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| CN201611117571.9A CN106644855A (en) | 2016-12-07 | 2016-12-07 | Measuring method for particle diameter of blocking particles in pervious concrete, and pervious concrete grading detection method |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107228817A (en) * | 2017-06-12 | 2017-10-03 | 山东大学 | Filling medium/soil body penetration stability comprehensive distinguishing method inside geological structure |
| CN109374624A (en) * | 2018-12-12 | 2019-02-22 | 山东大学 | Porous pavement choke detecting method and system |
Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1696654A (en) * | 2005-06-06 | 2005-11-16 | 清华大学 | Method for measuring grain size distribution of granules |
| JP2008268051A (en) * | 2007-04-23 | 2008-11-06 | Zenkoku Nama Concrete Kogyo Kumiai Rengokai | Method and system for measuring freshly mixed concrete aggregate particle size |
| CN101620060A (en) * | 2009-08-13 | 2010-01-06 | 上海交通大学 | Automatic detection method of particle size distribution |
| CN102012356A (en) * | 2010-11-25 | 2011-04-13 | 东南大学 | Quick test method for aggregate grade of asphalt concrete pavement |
| CN202216890U (en) * | 2011-06-30 | 2012-05-09 | 河海大学 | Sand grain analysis device based on digital image technology |
| CN104680526A (en) * | 2015-02-12 | 2015-06-03 | 浙江大学 | Method for measuring uniform particle size based on auto-correlation algorithm |
| CN105510195A (en) * | 2015-12-07 | 2016-04-20 | 华侨大学 | On-line detection method for particle size and shape of stacked aggregate |
| CN105571998A (en) * | 2015-12-21 | 2016-05-11 | 晶格码（青岛）智能科技有限公司 | Imaging detection method and system for measuring particle size distribution of particles in real time |
| CN105699258A (en) * | 2016-01-28 | 2016-06-22 | 华侨大学 | Online detection device and method of fine aggregates |
| CN105738258A (en) * | 2016-03-07 | 2016-07-06 | 华北水利水电大学 | Detection method for anti-filtration capability of vegetation concrete |
-
2016
- 2016-12-07 CN CN201611117571.9A patent/CN106644855A/en active Pending
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1696654A (en) * | 2005-06-06 | 2005-11-16 | 清华大学 | Method for measuring grain size distribution of granules |
| JP2008268051A (en) * | 2007-04-23 | 2008-11-06 | Zenkoku Nama Concrete Kogyo Kumiai Rengokai | Method and system for measuring freshly mixed concrete aggregate particle size |
| CN101620060A (en) * | 2009-08-13 | 2010-01-06 | 上海交通大学 | Automatic detection method of particle size distribution |
| CN102012356A (en) * | 2010-11-25 | 2011-04-13 | 东南大学 | Quick test method for aggregate grade of asphalt concrete pavement |
| CN202216890U (en) * | 2011-06-30 | 2012-05-09 | 河海大学 | Sand grain analysis device based on digital image technology |
| CN104680526A (en) * | 2015-02-12 | 2015-06-03 | 浙江大学 | Method for measuring uniform particle size based on auto-correlation algorithm |
| CN105510195A (en) * | 2015-12-07 | 2016-04-20 | 华侨大学 | On-line detection method for particle size and shape of stacked aggregate |
| CN105571998A (en) * | 2015-12-21 | 2016-05-11 | 晶格码（青岛）智能科技有限公司 | Imaging detection method and system for measuring particle size distribution of particles in real time |
| CN105699258A (en) * | 2016-01-28 | 2016-06-22 | 华侨大学 | Online detection device and method of fine aggregates |
| CN105738258A (en) * | 2016-03-07 | 2016-07-06 | 华北水利水电大学 | Detection method for anti-filtration capability of vegetation concrete |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107228817A (en) * | 2017-06-12 | 2017-10-03 | 山东大学 | Filling medium/soil body penetration stability comprehensive distinguishing method inside geological structure |
| CN109374624A (en) * | 2018-12-12 | 2019-02-22 | 山东大学 | Porous pavement choke detecting method and system |
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Application publication date: 20170510 |