CN113049624A - Method for detecting fibers in basalt fiber asphalt mixture based on element tracing - Google Patents

Method for detecting fibers in basalt fiber asphalt mixture based on element tracing Download PDF

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Publication number
CN113049624A
CN113049624A CN202110343981.XA CN202110343981A CN113049624A CN 113049624 A CN113049624 A CN 113049624A CN 202110343981 A CN202110343981 A CN 202110343981A CN 113049624 A CN113049624 A CN 113049624A
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China
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asphalt mixture
image
basalt fiber
basalt
fibers
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CN202110343981.XA
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Chinese (zh)
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吴正光
张聪
娄可可
肖鹏
康爱红
丁皓
孟伟杰
王漾博
顾倩俪
吴宇浩
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Yangzhou University
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Yangzhou University
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N24/00Investigating or analyzing materials by the use of nuclear magnetic resonance, electron paramagnetic resonance or other spin effects
    • G01N24/08Investigating or analyzing materials by the use of nuclear magnetic resonance, electron paramagnetic resonance or other spin effects by using nuclear magnetic resonance
    • G01N24/082Measurement of solid, liquid or gas content

Abstract

A method for detecting fibers in a basalt fiber asphalt mixture based on element tracing belongs to the application field of element tracing technology, and comprises the steps of firstly adding a heavy metal element inorganic salt marker in the infiltration stage of basalt fibers to obtain marked basalt fibers, then mixing the marked basalt fibers with the asphalt mixture to obtain the basalt fiber asphalt mixture, and forming a standard test piece; and scanning the standard test piece layer by using CT, and performing image processing and three-dimensional reconstruction so as to judge whether the basalt fiber is uniformly dispersed in the asphalt mixture. The method can accurately position the dispersion condition of the basalt fibers in the asphalt mixture, has the advantages of high sensitivity, accurate positioning and quantification and the like, and realizes quantitative evaluation of the basalt fiber dispersibility.

Description

Method for detecting fibers in basalt fiber asphalt mixture based on element tracing
Technical Field
The invention belongs to the field of application of element tracing technology, and particularly relates to a method for detecting fibers in a basalt fiber asphalt mixture.
Background
With the development of technology and the progress of society, the element tracing technology is continuously developed and perfected, and is widely applied to the fields of life science, medicine, environmental protection, agriculture, industry and the like, and great economic, social and ecological benefits are generated. In industrial activities, the element tracing method provides possibility for various researches, such as judgment of injection and production relation of an oil-water well, treatment of water loss and soil erosion of a waste dump, research on migration and diffusion of sand-level substances and the like, and solves the problem that the traditional detection method is difficult or even cannot be completed.
The basalt fiber has the advantages of high strength, high temperature resistance, corrosion resistance and the like, and is required to be subjected to infiltration modification, shearing and the like when being applied to the basalt fiber in the asphalt mixture. At present, a plurality of scholars develop the road performance test research of the basalt fiber asphalt mixture, and the research result shows that: the basalt fiber can improve the fatigue cracking capability of the asphalt mixture by 2-6 times, and other various performances are improved to different degrees; and the mixing amount of the basalt fiber has larger difference on the improvement of the performance of the asphalt mixture, and in addition, the dispersibility of the fiber is also an important factor.
However, the current common methods include an environmental scanning electron microscope, an extraction method and the like, wherein the environmental scanning electron microscope is used for manufacturing a centimeter-level solid sample for morphological observation and qualitative and quantitative analysis; the extraction method is that the mixed asphalt mixture is immersed into trichloroethylene, and the fiber is separated from the asphalt after extraction. The two methods can only observe or extract the fiber quality in a small area, but are difficult to detect the dispersion state of the basalt fibers in the asphalt mixture, so that the selection of the fiber specification is over-empirical, and the method is not beneficial to deeply researching the basalt fiber asphalt mixture in the aspect of mechanism.
Disclosure of Invention
The invention aims to provide a method for detecting fibers in a basalt fiber asphalt mixture based on element tracing, which can accurately position the dispersion condition of basalt fibers in the asphalt mixture.
The invention comprises the following steps:
1) adding heavy metal element inorganic salt in the infiltration stage of the basalt fiber to obtain the marked basalt fiber;
2) mixing the marked basalt fibers with the asphalt mixture to obtain a basalt fiber asphalt mixture, and then preparing a Marshall standard test piece;
3) scanning a Marshall standard test piece layer by using CT to obtain at least 10 CT images;
4) carrying out image enhancement, image segmentation and image ternary processing on each CT image in sequence;
5) carrying out CT scanning along the height direction of the test piece at the same interval of layer thicknesses, and sequencing the three-valued graphs obtained in the step according to the CT scanning sequence;
6) obtaining a new image between every two adjacent three-valued images after sequencing by adopting a cubic linear image interpolation algorithm;
7) three-dimensionally reconstructing the acquired ternary image and the new image acquired in step 6);
8) and judging the dispersibility of the basalt fibers in the asphalt mixture.
When the image enhancement processing is carried out, the image is made to be clear and smooth by using median filtering and image sharpening;
in the image segmentation processing, different thresholds are given to the images by utilizing threshold segmentation to distinguish the images;
during the tri-valued processing of the image, the tri-valued processing is realized by a double-peak method, and the components of the asphalt mixture are clearly separated;
and during three-dimensional reconstruction processing, establishing a three-dimensional numerical value sample to realize three-dimensional reconstruction of the asphalt mixture test piece.
Through the steps, 0-52 of the gray scale of the basalt fiber asphalt mixture is used as a gap and asphalt mortar, 52-178 is used as aggregate, and 178-255 is used as basalt fiber, so that the visualization of the image is realized.
Compared with the prior art, the invention has the following advantages:
(1) the invention applies the element tracing method to road engineering, can accurately position the dispersion condition of basalt fibers in the asphalt mixture, and has the advantages of high sensitivity, accurate positioning and quantification and the like.
(2) Compared with an environmental scanning electron microscope, the element tracing method can observe the dispersion state of the basalt fibers in the asphalt mixture in a large area, and is more convincing; compared with the extraction method, the element tracing method has small error and small loss amount, and can observe the form of the basalt fiber.
The method can accurately position the dispersion condition of the basalt fibers in the asphalt mixture, has the advantages of high sensitivity, accurate positioning and quantification and the like, and realizes quantitative evaluation of the basalt fiber dispersibility. The invention is innovative when the element tracing method is applied to road engineering, and is also vital to realizing the tracking observation of the dispersion form of the basalt fiber in the asphalt mixture.
Further, the heavy metal element inorganic salt is ZrCl4The inorganic salt is insoluble in the impregnating compound, has good stability, is not easy to decompose at high temperature, and can be well attached to the surface of the fiber when the asphalt is mixed at high temperature.
The mixing mass ratio of the heavy metal element inorganic salt to the impregnating compound is 3: 100, the detection concentration can be met by adopting the ratio, and the chemical property of the impregnating compound is not changed.
When the CT scans layer by layer, an X-ray CT machine is adopted, the scanning voltage is 140kV, the layer thickness is 1 mm-10 mm, and the resolution is less than or equal to 0.5 multiplied by 0.5 mm. The adoption of the appropriate scanning thickness and voltage is the premise of obtaining an ideal scanning effect, so that before a real test is started, the same layer of a test piece needs to be scanned under different scanning conditions, and the picture effects scanned under different scanning voltages and different scanning thicknesses are qualitatively compared by naked eyes, so that the image layers are rich, and the observation and evaluation are facilitated.
Drawings
Fig. 1 is an enhanced CT image.
Fig. 2 is a fragmentary view.
Fig. 3 is a ternary diagram.
Fig. 4 is a three-dimensional reconstruction pattern.
Detailed Description
1. Infiltrating and marking basalt fibers:
respectively weighing 36g of basalt fiber and ZrCl43g of inorganic salt and 100g of impregnating compound.
ZrCl is firstly added4And mixing and stirring the inorganic salt and the impregnating compound until the inorganic salt and the impregnating compound are completely dissolved, putting the basalt fiber into the solution, fully soaking for 45min, and drying by using a 105 ℃ oven to obtain the marked basalt fiber.
2. Marshall test pieces were prepared according to the road engineering asphalt and asphalt mixture test protocol (JTG E20-2011):
selecting an AC-13 graded asphalt mixture, weighing aggregate, mineral powder, basalt fiber and asphalt in all the mass, putting the aggregate, the mineral powder and the asphalt into an oven, heating to 165 ℃, stirring the mixture at 175 ℃, sequentially adding the aggregate, the basalt fiber, the asphalt and the mineral powder into a stirring pot, stirring for 90s respectively, then putting into a mold, and performing forward and backward strokes with a Marshall stoker for 75 times respectively to obtain a Marshall standard test piece with the diameter of 100mm and the height of 63.5 mm.
3. Scanning a standard test piece:
scanning the Marshall standard test piece by an X-ray CT machine with the scanning voltage of 140kV, and acquiring one CT image every 3mm to obtain 19 CT images.
4. Carrying out image enhancement, image segmentation and image ternary processing by using Matlab software:
(1) image enhancement processing:
the 19 images were made clear and smooth by median filtering and image sharpening, respectively, to obtain 19 enhancement maps as shown in fig. 1.
(2) Image segmentation processing:
different thresholds are given to the 19 enhancement maps by using threshold segmentation, and each enhancement map is distinguished to obtain 19 segmentation maps as shown in fig. 2.
(3) Carrying out three-valued processing on the image:
the tri-value is realized by a bimodal method, the components of the asphalt mixture are clearly separated, and 19 tri-value maps shown in figure 3 are obtained.
5. Three-dimensional reconstruction processing:
and acquiring a CT image every 3mm along the height direction of the test piece, and sequencing the 19 acquired ternary images according to the scanning sequence.
And then obtaining a new image between every two adjacent three-valued images by utilizing a cubic linear image interpolation algorithm, and obtaining 18 new images in total.
And (3) performing three-dimensional reconstruction on the 19 ternary images and the 18 new images (37 CT images in total), realizing three-dimensional visualization of the asphalt mixture test piece, and obtaining the three-dimensional reconstruction shown in the figure 4.
6. Judging the dispersibility of the basalt fibers in the asphalt mixture:
the gray scale map represents an image in which white and black are expressed in gray scale in a logarithmic relationship, 0 being black and 255 being white.
And taking 0-52 of the gray scale of the basalt fiber asphalt mixture as a gap and asphalt mortar, 52-178 as an aggregate and 178-255 as basalt fibers, so as to realize the visualization of the image.

Claims (4)

1. A method for detecting fibers in a basalt fiber asphalt mixture based on element tracing is characterized by comprising the following steps:
1) adding heavy metal element inorganic salt in the infiltration stage of the basalt fiber to obtain the marked basalt fiber;
2) mixing the marked basalt fibers with the asphalt mixture to obtain a basalt fiber asphalt mixture, and then preparing a Marshall standard test piece;
3) scanning a Marshall standard test piece layer by using CT to obtain at least 10 CT images;
4) carrying out image enhancement, image segmentation and image ternary processing on each CT image in sequence;
5) carrying out CT scanning along the height direction of the test piece at the same interval of layer thicknesses, and sequencing the three-valued graphs obtained in the step according to the CT scanning sequence;
6) obtaining a new image between every two adjacent three-valued images after sequencing by adopting a cubic linear image interpolation algorithm;
7) three-dimensionally reconstructing the acquired ternary image and the new image acquired in step 6);
8) and judging the dispersibility of the basalt fibers in the asphalt mixture.
2. The method of claim 1, wherein: the heavy metal element inorganic salt is ZrCl4
3. The method of claim 2, wherein: the mixing mass ratio of the heavy metal element inorganic salt to the impregnating compound is 3: 100.
4. The method of claim 1, wherein: when the CT scans layer by layer, an X-ray CT machine is adopted, the scanning voltage is 140kV, the layer thickness is 1 mm-10 mm, and the resolution is less than or equal to 0.5 multiplied by 0.5 mm.
CN202110343981.XA 2021-03-31 2021-03-31 Method for detecting fibers in basalt fiber asphalt mixture based on element tracing Pending CN113049624A (en)

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Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102507614A (en) * 2011-10-25 2012-06-20 中国科学院化学研究所 Method for characterizing element distribution conditions on fiber cross section
CN103472077A (en) * 2013-09-18 2013-12-25 长安大学 Detection method for dispersity of short carbon fibers in hardened cement slurry
CN103558236A (en) * 2013-10-30 2014-02-05 哈尔滨工业大学 Method for testing moisture distribution of asphalt mixture based on industrial computed tomography (CT)
JP2014211344A (en) * 2013-04-18 2014-11-13 名古屋市 Observation method for carbon fiber in carbon fiber-reinforced plastic, x-ray ct tracer used in the method, and carbon fiber-reinforced plastic
CN104237275A (en) * 2014-09-15 2014-12-24 内蒙古工业大学 Non-woven fabric fiber orientation distribution recognizing method
CN109613046A (en) * 2018-12-11 2019-04-12 长安大学 A kind of evaluation method that steel fibre is dispersed in bituminous concrete
CN111060504A (en) * 2019-12-09 2020-04-24 扬州大学 Asphalt mixture basalt fiber observation method and test piece

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102507614A (en) * 2011-10-25 2012-06-20 中国科学院化学研究所 Method for characterizing element distribution conditions on fiber cross section
JP2014211344A (en) * 2013-04-18 2014-11-13 名古屋市 Observation method for carbon fiber in carbon fiber-reinforced plastic, x-ray ct tracer used in the method, and carbon fiber-reinforced plastic
CN103472077A (en) * 2013-09-18 2013-12-25 长安大学 Detection method for dispersity of short carbon fibers in hardened cement slurry
CN103558236A (en) * 2013-10-30 2014-02-05 哈尔滨工业大学 Method for testing moisture distribution of asphalt mixture based on industrial computed tomography (CT)
CN104237275A (en) * 2014-09-15 2014-12-24 内蒙古工业大学 Non-woven fabric fiber orientation distribution recognizing method
CN109613046A (en) * 2018-12-11 2019-04-12 长安大学 A kind of evaluation method that steel fibre is dispersed in bituminous concrete
CN111060504A (en) * 2019-12-09 2020-04-24 扬州大学 Asphalt mixture basalt fiber observation method and test piece

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