METHOD FOR EVALUATING INFLUENCE OF HUMIDITY ON ASPHALT-AGGREGATE ADHESION
20220326143 · 2022-10-13
Inventors
- Rong Luo (Wuhan, CN)
- Wei Wang (Wuhan, CN)
- Chongzhi TU (Wuhan, CN)
- Longchang Niu (Wuhan, CN)
- Xiang Wang (Wuhan, CN)
US classification
- 1/1
Cpc classification
G01N19/04
PHYSICS
International classification
G01N19/04
PHYSICS
Abstract
Disclosed is method for evaluating influence of humidity on adhesion of asphalt-aggregate adhesion, the method includes the following steps: S1 putting multiple pull-out specimens into constant temperature and humidity phases with different relative humidity for curing, after the humidity reaches equilibrium, carrying out macroscopic mechanical pull-out test out and obtaining images of two aggregate surfaces of each broken pull-out specimen; S2 cropping the images, and then importing the cropped images into the Images Pro Plus software; S3 obtaining asphalt peeling rate according to the pixel value and calculation formula of asphalt peeling rate; S4 according to the asphalt peeling rate, asphalt cohesive energy and asphalt-aggregate binding energy, combined with calculation formula of asphalt-aggregate interface energy, obtaining asphalt-aggregate interface energy, and evaluating asphalt-aggregate adhesion according to the interface energy. This method realizes the quantitative evaluation of the adhesion of asphalt and aggregate under different humidity conditions.
Claims
1. A method for evaluating influence of humidity on adhesion of asphalt-aggregate, including the following steps: S1 putting multiple pull-out specimens into constant temperature and humidity phases with different relative humidity for curing, after the humidity reaches equilibrium, carrying out macroscopic mechanical pull-out test out and obtaining images of two aggregate surfaces of each broken pull-out specimen; S2 cropping the images, and then importing the cropped images into the Images Pro Plus software to preprocess the images and obtaining pixel value of aggregate and asphalt; S3 obtaining asphalt peeling rate according to the pixel value and calculation formula of asphalt peeling rate; S4 according to the asphalt peeling rate, asphalt cohesive energy and asphalt-aggregate binding energy, combined with calculation formula of asphalt-aggregate interface energy, obtaining asphalt-aggregate interface energy, and evaluating asphalt-aggregate adhesion according to the interface energy.
2. The method for evaluating influence of humidity on adhesion of asphalt-aggregate according to claim 1, in step S2, the specific steps for obtaining the pixel value of aggregate and asphalt are as follows: S21 importing the cropped image into the Images Pro Plus software and displaying it in a drawing window; S22 converting the image to grayscale; S23 smoothing the image by a median filter of 3*3 window to further eliminate the noise formed in image shooting; S24 using Count and measure object and Histogram Based functions of the Images Pro Plus software to select the asphalt surface and the entire aggregate surface and calculating the pixel value.
3. The method for evaluating influence of humidity on adhesion of asphalt-aggregate according to claim 1, wherein: before step S4, the method further includes using plug-in method to obtain surface energy parameter of asphalt by measuring contact angle, using vapor adsorption method to obtain surface energy parameter of the aggregate, and calculating asphalt cohesive energy and asphalt-aggregate binding energy respectively according to surface energy parameters of the asphalt and the aggregate.
4. The method for evaluating influence of humidity on adhesion of asphalt-aggregate according to claim 1, in step S1, putting multiple pull-out specimens into constant temperature and humidity phases with relative humidity of 0-10%, 40-50%, 60-80%, and 90-100%, respectively for curing.
5. The method for evaluating influence of humidity on adhesion of asphalt-aggregate according to claim 4, in step S1, duration of the curing is 3-4 months.
6. The method for evaluating influence of humidity on adhesion of asphalt-aggregate according to claim 4, in step S1, temperature of the curing is 20-25° C.
7. The method for evaluating influence of humidity on adhesion of asphalt-aggregate according to claim 1, calculation formula of asphalt-aggregate interface energy is as follows:
W.sub.E=β×ΔG.sup.aA+(1−β)×ΔG.sup.cA where W.sub.E represents interfacial energy, β represents asphalt peeling rate, ΔG.sup.cA represents asphalt cohesive energy, and ΔG.sup.aA represents asphalt-aggregate binding energy.
8. The method for evaluating influence of humidity on adhesion of asphalt-aggregate according to claim 1, before step S1, the method further includes: preparing the pull-out specimens, preheating two pieces of aggregate and asphalt, and then dripping the preheated asphalt on one surface of an aggregate, and covering another piece of aggregate on the asphalt and cooling to obtain the pull-out specimens.
9. The method for evaluating influence of humidity on adhesion of asphalt-aggregate according to claim 8, wherein the aggregate is stone.
10. The method for evaluating influence of humidity on adhesion of asphalt-aggregate according to claim 9, thickness of the stone is 5-7 mm and diameter of the stone is 25-28 mm.
Description
BRIEF DESCRIPTION OF THE DRAWINGS
[0014] Accompanying drawings are for providing further understanding of embodiments of the disclosure. The drawings form a part of the disclosure and are for illustrating the principle of the embodiments of the disclosure along with the literal description. Apparently, the drawings in the description below are merely some embodiments of the disclosure, a person skilled in the art can obtain other drawings according to these drawings without creative efforts. In the figures:
[0015]
[0016]
[0017]
DETAILED DESCRIPTION OF PREFERRED EMBODIMENTS
[0018] This specific embodiment proposes a method for evaluating influence of humidity on asphalt-aggregate adhesion, including the following steps:
[0019] S0 Preparing the pull-out specimens, preheating two pieces of aggregate and asphalt, and then dripping the preheated asphalt on one surface of an aggregate, and covering another piece of aggregate on the asphalt and cooling to obtain the pull-out specimens; the aggregate is stone; thickness of the stone is 5-7 mm and diameter of the stone is 25-28 mm.
[0020] S1 Putting multiple pull-out specimens into constant temperature and humidity phases with relative humidity of 0-10%, 40-50%, 60-80%, and 90-100%, respectively for curing at 20-25° C. for 3-4 months, after the humidity reaches equilibrium, carrying out macroscopic mechanical pull-out test out and obtaining images of two aggregate surfaces of each broken pull-out specimen;
[0021] S2 Cropping the images, and then importing the cropped images into the Images Pro Plus software to preprocess the images and obtaining pixel value of aggregate and asphalt;
[0022] S3 Obtaining asphalt peeling rate according to the pixel value and calculation formula of asphalt peeling rate;
[0023] S4 Using plug-in method to obtain surface energy parameter of asphalt by measuring contact angle, using vapor adsorption method to obtain surface energy parameter of the aggregate, and calculating asphalt cohesive energy and asphalt-aggregate binding energy respectively according to surface energy parameters of the asphalt and the aggregate;
[0024] S5 According to the asphalt peeling rate, asphalt cohesive energy and asphalt-aggregate binding energy, combined with calculation formula of asphalt-aggregate interface energy, obtaining asphalt-aggregate interface energy, and evaluating asphalt-aggregate adhesion according to the interface energy.
[0025] Further, calculation formula of asphalt-aggregate interface energy is as follows:
W.sub.E=β×ΔG.sup.aA+(1−β)×ΔG.sup.cA
[0026] where, W.sub.E represents interfacial energy, β represents asphalt peeling rate, ΔG.sup.cA represents asphalt cohesive energy, and ΔG.sup.aA represents asphalt-aggregate binding energy.
[0027] Further, in step S2, the specific steps for obtaining the pixel value of aggregate and asphalt are as follows:
[0028] S21 Importing the cropped image into the Images Pro Plus software and displaying it in a drawing window;
[0029] S22 Converting the image to grayscale;
[0030] S23 Smoothing the image by a median filter of 3*3 window to further eliminate the noise formed in image shooting;
[0031] S24 Using Count and measure object and Histogram Based functions of the Images Pro Plus software to select the asphalt surface and the entire aggregate surface and calculating the pixel value.
[0032] In order to make the purpose, technical solutions, and advantages of this disclosure clearer, the following describes this disclosure in further detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain this disclosure, and are not used to limit this disclosure.
Embodiment 1
[0033] 1. Using 70# matrix asphalt produced by a company in Hubei Province, China and limestone parent rock from a certain place to prepare pull-out specimens and conduct pull-out test tests:
[0034] Using a core drilling machine with a hole diameter of 25 mm to drill the limestone mother rock to core samples, and then use a cutter to cut the stone into thin slices with a thickness of 5 mm (in other embodiments, the thickness of the stone can also be 6 mm or 7 mm, and the diameter can be 26 mm or 27 mm). Using the same number of sandpapers to polish the thin slices for the same time. Using a spiral micrometer with an accuracy of 0.001 mm to measure the thickness of the two stones stacked together. Putting the stone and 70# matrix asphalt in an oven at the temperature required by the asphalt mixture design specification. Then dropping a little bit of hot asphalt on the surface of one stone, and quickly cover the other stone. Using a screw micrometer to measure the thickness of the stone-asphalt-stone. When the thickness is too large, squeezing the upper and lower surfaces of the test piece until the thickness is appropriate. At this time, the thickness difference between the two measurements is 20 microns. After cleaning the spilled asphalt with clean cloth, the asphalt is placed on a flat operating table and cooled for 30 min. The obtained specimens are shown in
TABLE-US-00001 TABLE 1 Relative humidity corresponding to gaseous water molecular concentration (20° C.) Relative humidity 0% 50% 80% 100% Gaseous water molecular 0 8.64 13.82 17.27 concentration in air/g .Math. m.sup.−3
[0035] Using 406 quick-drying glue to glue one side of the “sandwich” specimen to a lower fixture. After standing at room temperature for 10 minutes, transferring the lower fixture and the specimen to an MTS environment box, fixing the lower fixture, and then dropping a little glue on the surface of the top stone. At the same time, installing the upper clamp on the guide rod above the instrument. Turning on the MTS instrument, setting the control mode to “force mode”, and setting the pressure to 12N. At this time, the upper fixture will gradually drop with the upper guide rod and contact and squeeze with the upper surface of the specimen dripped with glue. After maintaining the squeezed state for 10 minutes, changing the pressure to ON, and switching the control mode to “displacement mode”.
[0036] The test adopts uniaxial direct tensile test, setting the tensile rate to 0.5 mm/min, and recording the data of tensile force change with the increase of tensile length. When the tensile force is close to 0, the specimen has been completely destroyed at this time. Taking pictures of the surface of two stones with asphalt in each group. The asphalt surface of one of the damaged specimens is shown in
[0037] 2. Cropping the image, using Images Pro Plus software to obtain the pixel value of the stone and asphalt, and calculating the modified asphalt peeling rate:
[0038] The two images of the obtained specimens were uniformly cut according to the standard that only exposed the circular stone interface. Importing an image into the Images ProPlus software, calling a program to convert the color droplet image into a grayscale image, and using a 3*3 window to perform median filtering on the image,
[0039] Then continuing to call the Count and measure object function of the software, by adjusting the gray value range under the Histogram Based window, the whole circular aggregate section is completely selected to calculate the entire pixel value of circular stone. Then continuing to adjust the gray value range, so that all the asphalt surface is fully selected to calculate the entire pixel value of the peeling asphalt. There are two failure sections after each group of pull-out tests, and the pixel value of these two failure sections need to be calculated.
[0040] Calculating the modified asphalt peeling rate β according to formula (1):
where Σ means the sum of the two stones of the specimens.
[0041] Through software calculation, the pixel value of circular section of each specimen is 58544, and then obtaining the pixel value of the asphalt surface in turn and putting it into the formula to obtain the peeling rate of the asphalt with different relative humidity. The results are shown in Table 2.
TABLE-US-00002 TABLE 2 Peeling rate of specimens under different humidity Relative humidity 0% 50% 80% 100% 1 d liquid water Peeling rate (%) 0.4 10.3 22.6 52.2 88.3
[0042] 3. Using plug-in method and vapor adsorption method to obtain surface energy parameter of asphalt.
[0043] Using plug-in method to obtain surface energy parameter of asphalt by measuring contact angle, using vapor adsorption method to obtain surface energy parameter of the stone, and calculating asphalt cohesive energy and asphalt-aggregate binding energy respectively according to surface energy parameters of the asphalt and the stone, as shown in Table 3.
TABLE-US-00003 TABLE 3 Surface energy parameters of asphalt and aggregates under different conditions Surface energy (ergs .Math. cm.sup.−2) 0 50 80 100 liquid water Asphalt cohesive energy 43.10 43.10 43.10 43.10 43.10 ΔG.sup.cA Asphalt-aggregate binding 94.50 38.22 11.90 0.68 41.53 energy ΔG.sup.aA
[0044] Calculation formula of asphalt-aggregate interface energy is as follows:
W.sub.E=β×ΔG.sup.aA+(1−β)×ΔG.sup.cA (2)
where W.sub.E represents interfacial energy, β represents asphalt peeling rate, ΔG.sup.cA represents asphalt cohesive energy, and ΔG.sup.aA represents asphalt-aggregate binding energy.
[0045] Calculating the joint macro and micro interface energy indicators:
[0046] Substituting the asphalt peeling rate, asphalt cohesive energy and asphalt-aggregate binding energy into formula (2) to calculate the asphalt-aggregate interface energy.
[0047] It can be seen from
[0048] It can be seen that the method proposed by this disclosure combines the macro and microscopic evaluation of asphalt-aggregate adhesion parameters, which can quantitatively evaluate the adhesion of asphalt and aggregate under different humidity conditions on multi-scales. Furthermore, the degree of influence on the adhesion of asphalt and aggregate under different humidity can be judged according to the magnitude of the asphalt-aggregate interface energy. The larger the asphalt-aggregate interfacial energy is, the stronger the adhesion of asphalt and aggregate is.
[0049] It is to be understood, however, that even though numerous characteristics and advantages of the present invention have been set forth in the foregoing description, together with details of the structure and function of the invention, the disclosure is illustrative only, and changes may be made in detail, especially in matters of shape, size, and arrangement of parts within the principles of the invention to the full extent indicated by the broad general meaning of the terms in which the appended claims are expressed.