CN116337716A - Continuous detection method for void ratio of in-service asphalt pavement surface layer - Google Patents
Continuous detection method for void ratio of in-service asphalt pavement surface layer Download PDFInfo
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- 239000011800 void material Substances 0.000 title claims abstract description 97
- 239000010426 asphalt Substances 0.000 title claims abstract description 59
- 239000002344 surface layer Substances 0.000 title claims abstract description 37
- 238000001514 detection method Methods 0.000 title claims abstract description 28
- 238000001914 filtration Methods 0.000 claims abstract description 35
- 230000032683 aging Effects 0.000 claims abstract description 29
- 238000000034 method Methods 0.000 claims abstract description 26
- 239000000203 mixture Substances 0.000 claims abstract description 5
- 238000012360 testing method Methods 0.000 claims description 28
- 238000005070 sampling Methods 0.000 claims description 16
- 238000004140 cleaning Methods 0.000 claims description 8
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 7
- 238000004364 calculation method Methods 0.000 claims description 6
- 238000007619 statistical method Methods 0.000 claims description 5
- 238000005108 dry cleaning Methods 0.000 claims description 4
- 238000011010 flushing procedure Methods 0.000 claims description 4
- 238000012986 modification Methods 0.000 claims description 4
- 230000004048 modification Effects 0.000 claims description 4
- 238000012797 qualification Methods 0.000 claims description 4
- 238000002791 soaking Methods 0.000 claims description 4
- 238000011156 evaluation Methods 0.000 abstract description 7
- 238000004422 calculation algorithm Methods 0.000 description 3
- 239000010410 layer Substances 0.000 description 2
- 238000005086 pumping Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 1
- 238000005553 drilling Methods 0.000 description 1
- 238000004643 material aging Methods 0.000 description 1
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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
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Abstract
The invention discloses a continuous detection method for the void ratio of an in-service asphalt pavement surface layer, which comprises the following steps: s1, establishing the relation between the void ratios of asphalt mixtures with different ageing degrees, electromagnetic wave reflection time and reflected wave intensity; s2, detecting electromagnetic wave reflection time and reflected wave intensity of the in-service asphalt pavement surface layer on site; and S3, judging the void ratio according to the reflection time and the intensity attenuation of the electromagnetic wave of the in-service asphalt pavement surface layer after filtering. The method for continuously detecting the void ratio of the in-service asphalt pavement surface layer can continuously sample and detect, has high accuracy, small damage to the on-site pavement and more comprehensive evaluation on the void ratio condition of the pavement.
Description
Technical Field
The invention relates to the technical field of road engineering, in particular to a continuous detection method for the void ratio of an in-service asphalt pavement surface layer.
Background
Void fraction is an important indicator of road surface condition. The in-service pavement is affected by traffic conditions such as vehicle load, material aging and the like and external environment, the void ratio is continuously changed, and the determination of the void ratio of the in-service pavement surface layer is very important for comprehensively evaluating the pavement performance.
The prior pavement surface layer void ratio detection method mainly comprises two major categories, namely density and physical index. The density detection method mainly comprises a core drilling method, a nuclear densitometer method, a coreless densitometer method and the like, and the void ratio is determined by detecting the density of the pavement or indexes related to the density, so that the accuracy of the method is high, but the working efficiency is lower. The physical index detection method mainly comprises a water seepage coefficient method, and the void ratio is indirectly determined by detecting the related physical indexes of the pavement, but the water seepage coefficient method is long in time consumption and troublesome in operation.
In the prior art, most of void fraction detection and evaluation methods can only perform small-range evaluation work, and part of detection methods are intermittent sampling detection, damage to the road surface and difficult to perform large-area continuous detection and evaluation. In order to further comprehensively and accurately evaluate the void fraction of the in-service pavement surface layer, it is necessary to develop a novel continuous pavement void fraction detection method.
Disclosure of Invention
The invention aims to provide a continuous detection method for the void ratio of an in-service asphalt pavement surface layer, which can continuously sample and detect, has high accuracy, small damage to an on-site pavement and more comprehensive evaluation on the void ratio condition of the pavement.
In order to achieve the above purpose, the invention provides a continuous detection method for the void ratio of an in-service asphalt pavement surface layer, which comprises the following steps:
s1, establishing the relation between the void ratios of asphalt mixtures with different ageing degrees, electromagnetic wave reflection time and reflected wave intensity;
s2, detecting electromagnetic wave reflection time and reflected wave intensity of the in-service asphalt pavement surface layer on site;
and S3, judging the void ratio according to the reflection time and the intensity attenuation of the electromagnetic wave of the in-service asphalt pavement surface layer after filtering.
Preferably, in step S1, specifically:
s11, carrying out accelerated aging on the modified asphalt in the room for different times, and establishing a correlation between different aging times and the content change of the asphaltene component in the modification;
s12, extracting asphalt from an in-service asphalt pavement site and analyzing the content of asphaltene components;
s13, combining correlation relations between different ageing times and the change of the asphaltene content in the asphalt, and determining ageing time T with the similar content of the components after indoor ageing according to the content of the asphaltene components in the on-site extracted asphalt;
s14, after asphalt is aged for T time, forming test pieces with different void ratios, soaking the test pieces in water for 30-50 min, airing the surface, detecting the test pieces by using electromagnetic waves with fixed angles, frequencies and intensities, testing the intensity and the elapsed time of reflected waves at the bottom of the test pieces, and establishing the correlation between the void ratio and the elapsed time and the reflected wave intensity.
Preferably, in step S2, specifically:
s21, cleaning the in-service road surface by using a road surface dry cleaning vehicle, and flushing the road surface by using a high-pressure cleaning vehicle under high pressure;
s22, immediately and continuously testing the reflection time of the electromagnetic wave of the pavement and the intensity of the reflected wave along the measuring line after the pavement surface is dried, and acquiring a group of data at intervals of a certain distance;
s23, performing secondary filtering on the electromagnetic wave reflection time and the reflected wave intensity at the bottom of the pavement surface layer of the service pavement.
Preferably, in step S3, specifically:
s31, determining the void fraction V determined according to the reflection time measured on site by combining the correlation between the void fraction and the reflection time in the step S1 1 ；
S32, determining the void fraction V determined according to the reflected wave intensity measured on site by combining the correlation between the void fraction and the reflected wave intensity in the step S1 2 ；
S33, calculating the pavement void ratio according to different service ages:
V＝kV 1 +(1-k)V 2 ，
wherein k is a traffic coefficient, which is determined according to road traffic age N,
when N is less than or equal to 5, k=0.3 to 0.4,
when N is more than 5 and less than or equal to 10, k=0.4 to 0.5,
when N is more than 10 and less than or equal to 15, k=0.5-0.6,
when 15 is less than N, k=0.6-0.7;
s34, calculating the void fraction and the void fraction qualification rate according to the void fraction calculation results of all the sampling points and the sampling points;
s35, obtaining a failure point statistical analysis table according to the failure point positions, wherein the failure point positions are automatically converted into pile number distribution according to the initial positions and the failure position coordinates and the initial pile numbers.
Preferably, in step S22, the detection device used for collecting data is the same as that used in step S14, and includes a positioning system, and the electromagnetic wave emission angle, frequency and intensity are the same as those used in step S14.
Preferably, in step S23, the secondary filtering method specifically includes: the first filtering adopts a first-order lag filtering method, and the second filtering adopts an arithmetic average filtering method.
Therefore, the method for continuously detecting the void ratio of the in-service asphalt pavement surface layer is used for detecting and evaluating the void ratio of the pavement according to the reflection time of electromagnetic waves on the pavement surface layer and the intensity of reflected waves, can continuously sample and detect, has high accuracy, and has less damage to the on-site pavement, and the evaluation of the void ratio condition of the pavement is more comprehensive.
The technical scheme of the invention is further described in detail through the drawings and the embodiments.
Drawings
FIG. 1 is a schematic diagram of an electromagnetic wave transceiver device of an embodiment of a method for continuously detecting the void ratio of an in-service asphalt pavement surface layer;
FIG. 2 is a graph showing the correlation between aging time and asphaltene component content in an embodiment of a continuous detection method for void fraction of an in-service asphalt pavement layer according to the present invention;
FIG. 3 is a graph showing the correlation of reflection time at different void ratios in an embodiment of a method for continuously detecting the void ratio of an in-service asphalt pavement layer according to the present invention;
FIG. 4 is a graph showing the correlation of reflected wave intensity at different void ratios in an embodiment of a method for continuously detecting the void ratio of an in-service asphalt pavement surface layer according to the present invention.
Reference numerals
1. An electromagnetic wave emitter; 2. a transmitting plate; 3. a positioning system; 4. a sleeve; 5. the receiving plate is fastened with a screw; 6. an electromagnetic wave receiver; 7. a receiving plate; 8. a data collector; 9. a universal wheel; 10. a vertical bracket; 11. and (5) a base.
Detailed Description
The technical scheme of the invention is further described below through the attached drawings and the embodiments.
Unless defined otherwise, technical or scientific terms used herein should be given the ordinary meaning as understood by one of ordinary skill in the art to which this invention belongs.
A continuous detection method for the void ratio of the surface layer of asphalt pavement in service features that the void ratio of pavement is detected and evaluated according to the reflection time and reflected wave intensity of electromagnetic wave on the surface layer of pavement, and the electromagnetic wave receiving-transmitting unit is used for testing the reflection time and reflected wave intensity of electromagnetic wave.
As shown in fig. 1, the electromagnetic wave transmitting and receiving device includes an electromagnetic wave transmitter 1, an electromagnetic wave receiver 6, a data collector 8, and a positioning system 3. The electromagnetic wave emitter 1 is fixed on the emitter plate 2. The electromagnetic wave receiver 6 is fixed on the receiving plate 7, the receiving plate 7 is connected with the vertical support 10 of the transceiver through the sleeve 4, and the vertical support 10 passes through the sleeve 4, so that the vertical height of the receiving plate 7 can be adjusted. After the up-and-down movement of the receiving plate 7 is adjusted to a proper position, the receiving plate 7 can be fixed by tightening the receiving plate fastening screw 5. The data collector 8 is fixed on the base 11 of the transceiver, and is mainly used for collecting information such as time, wave intensity and position coordinates of transmitting and receiving electromagnetic waves. Four universal wheels 9 are arranged on the base 11 of the combined device, so that the position can be conveniently moved.
A continuous detection method for the void ratio of an in-service asphalt pavement surface layer comprises the following steps:
s1, establishing the relation between the void ratios of asphalt mixtures with different ageing degrees, electromagnetic wave reflection time and reflected wave intensity.
S11, carrying out accelerated aging on the modified asphalt in the room for different times, and establishing a correlation between different aging times and the content change of the asphaltene component in the modification;
s12, extracting asphalt from an in-service asphalt pavement site and analyzing the content of asphaltene components;
s13, combining correlation relations between different ageing times and the change of the asphaltene content in the asphalt, and determining ageing time T with the similar content of the components after indoor ageing according to the content of the asphaltene components in the on-site extracted asphalt;
s14, after the asphalt is aged for T time, forming a 30 cm-5 cm test piece with different void ratios, soaking the test piece in water for 30-50 min, and then airing the surface, wherein the void effect can be amplified after water treatment. And then detecting by using electromagnetic waves with fixed angles, frequencies and intensities, testing the intensity and the elapsed time of reflected waves at the bottom of the test piece, and establishing the correlation between the void ratio and the elapsed time and the reflected wave intensity.
S2, detecting electromagnetic wave reflection time and reflected wave intensity of the in-service asphalt pavement surface layer on site.
S21, cleaning the in-service road surface by using a road surface dry cleaning vehicle, and flushing the road surface by using a high-pressure cleaning vehicle with a pumping pressure of 10-15 MPa at a speed of 5-10 km/h;
s22, immediately and continuously testing the electromagnetic wave reflection time and the intensity of reflected waves of the pavement along the measuring line after the pavement surface is dried, acquiring a group of data every 0.1-1 m, wherein the used detection equipment is the same as that in the step S14 and comprises a positioning system, and the electromagnetic wave emission angle, frequency and intensity are the same as those in the step S14;
s23, performing secondary filtering on the electromagnetic wave reflection time and the reflected wave intensity at the bottom of the in-service pavement surface layer, and eliminating the influence of the unevenness of the pavement.
The secondary filtering method specifically comprises the following steps: the first filtering adopts a first-order lag filtering method, and the second filtering adopts an arithmetic average filtering method.
The first order lag filtering algorithm function expression is as follows:
Y(n)＝(1-α)X(n)+αY(n-1)
wherein: y (n) -the present filtered output value; alpha-filter coefficient with value range of 0-1; x (n) -the current sampling value; y (n-1) -last filtered output value.
The second filtering is to carry out the second filtering on the primary filtering result by adopting an arithmetic average filtering method on the basis of a first-order lag filtering algorithm. The arithmetic average filtering method refers to the filtering result of the nth sampling value, wherein the arithmetic average value of the first n-1 sampling values and the nth sampling value is used as the filtering result of the nth sampling value, and n=3 to 6.
And S3, judging the void ratio according to the reflection time and the intensity attenuation of the electromagnetic wave of the in-service asphalt pavement surface layer after filtering.
S31, determining the void fraction V determined according to the reflection time measured on site by combining the correlation between the void fraction and the reflection time in the step S1 1 ；
S32, determining the void fraction V determined according to the reflected wave intensity measured on site by combining the correlation between the void fraction and the reflected wave intensity in the step S1 2 ；
S33, calculating the pavement void ratio according to different service ages:
V＝kV 1 +(1-k)V 2 ，
wherein k is a traffic coefficient, which is determined according to road traffic age N,
when N is less than or equal to 5, k=0.3 to 0.4,
when N is more than 5 and less than or equal to 10, k=0.4 to 0.5,
when N is more than 10 and less than or equal to 15, k=0.5-0.6,
when 15 is less than N, k=0.6-0.7;
s34, calculating the void fraction and the void fraction qualification rate according to the void fraction calculation results of all the sampling points and the sampling points;
s35, obtaining a failure point statistical analysis table according to the failure point positions, wherein the failure point positions are automatically converted into pile number distribution according to the initial positions and the failure position coordinates and the initial pile numbers.
Experimental test:
the experimental test road section service life N=8, an in-service asphalt pavement surface layer void ratio continuous detection method comprises the following steps:
s1, establishing the relation between the void ratios of asphalt mixtures with different ageing degrees, electromagnetic wave reflection time and reflected wave intensity:
s11, the modified asphalt is subjected to accelerated aging for 4 hours, 8 hours, 12 hours, 16 hours, 20 hours and 24 hours in a room by using a pressure aging box, different aging time and the change of the content of the asphaltene component in the modification are established as shown in a table 1, and the correlation relationship between the aging time and the content of the asphaltene component is established as shown in fig. 2.
TABLE 1 asphaltene content at various aging times
| Aging time/ |
4 | 8 | 12 | 16 | 20 | 24 |
| Asphaltene content/% | 15.3 | 19.5 | 26.2 | 36.1 | 41.3 | 43.6 |
S12, extracting asphalt from the in-service asphalt pavement site, obtaining the content of an asphaltene component of 33.8% through component analysis, and determining the corresponding ageing time T=15.2 h in a room by combining the correlation in FIG. 2.
And S13, after asphalt ageing is carried out for T=15.2h, forming a 30cm x 5cm test piece with different void ratios, soaking the test piece in water for 35min, then airing the surface, detecting the test piece by using electromagnetic waves with an incidence angle of 45 degrees, a frequency of 1000MHz and an intensity of 50W, testing the intensity and the elapsed time of reflected waves at the bottom of the test piece, establishing a correlation between the void ratio and the elapsed time as shown in a table 2, establishing a correlation between the void ratio and the reflected wave intensity as shown in a graph 4.
TABLE 2 reflection time and reflected wave intensity at different void fractions
| Void fraction/% | 4.5 | 5.0 | 5.5 | 6.0 | 6.5 | 7.0 | 7.5 | 8.0 | 8.5 | 9.0 | 9.5 | 10.0 |
| Reflection time/ns | 0.46 | 0.43 | 0.41 | 0.38 | 0.37 | 0.36 | 0.34 | 0.31 | 0.27 | 0.23 | 0.2 | 0.18 |
| Reflected wave intensity/W | 20.6 | 21.5 | 22.4 | 23.5 | 24.9 | 26.9 | 29.4 | 31.2 | 32.4 | 34.0 | 35.8 | 37.0 |
S2, detecting electromagnetic wave reflection time and reflected wave intensity of the in-service asphalt pavement surface layer on site:
s21, cleaning the in-service road surface by using a road surface dry cleaning vehicle, and flushing the road surface by using a high-pressure cleaning vehicle with a pumping pressure of 12MPa at a speed of 5 km/h.
S22, selecting a road section with the length of 50m on site, and setting the pile number at the initial position to K0+000. The method is characterized in that the reflection time and the intensity of the electromagnetic wave of the pavement are continuously tested along the measuring line immediately after the pavement surface is dried, data are collected every 0.5m, the reflection time and the intensity of the pavement are detected by utilizing the electromagnetic wave receiving and transmitting device, and the incidence angle, the frequency and the intensity are the same as those of the indoor test detection.
S23, the data processor performs secondary filtering on the collected electromagnetic wave reflection time and reflected wave intensity at the bottom of the test piece. The filter coefficient alpha=0.7 in the first-order lag filtering algorithm, and n=4 in the arithmetic average filtering. The results after filtering are shown in table 3.
S3, judging the void ratio according to the reflection time and the intensity attenuation of the electromagnetic wave of the in-service asphalt pavement surface layer:
s31, determining the void fraction V determined according to the reflection time measured on site by combining the correlation between the void fraction and the reflection time of the graph 3 in the step S13 1 。
S32, determining the void fraction V determined according to the reflected wave intensity measured on site by combining the correlation between the void fraction and the reflected wave intensity in the step S13 in the graph 4 2 。
S33, calculating the pavement void ratio according to different service ages: the traffic cycle n=8, the traffic coefficient k=0.45, v=0.45V 1 +0.55V 2 The void fraction calculation results are shown in table 3.
TABLE 3 calculation results of void fraction
S34, calculating the void ratio and the void ratio qualification rate according to the void ratio calculation results of all the sampling points and the sampling points, wherein the road section requires the void ratio of 6% -8%, 100 sampling points, 98 qualified points and 98 qualified rate according to the field test result.
S35, obtaining a failure point statistical analysis table according to the failure point positions, wherein the failure point positions are automatically converted into pile number distribution according to the initial positions and the failure position coordinates and the initial pile numbers. The table of statistical analysis of the failure points is shown in table 4.
TABLE 4 statistical results of reject points
| Sequence number | Pile number | Void fraction/% |
| 1 | K0+15.5 | 9.3 |
| 2 | K0+39 | 9.4 |
Therefore, the method for continuously detecting the void ratio of the in-service asphalt pavement surface layer can be used for continuously sampling and detecting, has high accuracy, small damage to the on-site pavement and more comprehensive evaluation on the void ratio condition of the pavement.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present invention and not for limiting it, and although the present invention has been described in detail with reference to the preferred embodiments, it will be understood by those skilled in the art that: the technical scheme of the invention can be modified or replaced by the same, and the modified technical scheme cannot deviate from the spirit and scope of the technical scheme of the invention.
Claims (6)
1. A continuous detection method for the void ratio of an in-service asphalt pavement surface layer is characterized by comprising the following steps: the method comprises the following steps:
s1, establishing the relation between the void ratios of asphalt mixtures with different ageing degrees, electromagnetic wave reflection time and reflected wave intensity;
s2, detecting electromagnetic wave reflection time and reflected wave intensity of the in-service asphalt pavement surface layer on site;
and S3, judging the void ratio according to the reflection time and the intensity attenuation of the electromagnetic wave of the in-service asphalt pavement surface layer after filtering.
2. The continuous detection method for the void fraction of the in-service asphalt pavement surface layer according to claim 1, which is characterized by comprising the following steps: in step S1, specifically:
s11, carrying out accelerated aging on the modified asphalt in the room for different times, and establishing a correlation between different aging times and the content change of the asphaltene component in the modification;
s12, extracting asphalt from an in-service asphalt pavement site and analyzing the content of asphaltene components;
s13, combining correlation relations between different ageing times and the change of the asphaltene content in the asphalt, and determining ageing time T with the similar content of the components after indoor ageing according to the content of the asphaltene components in the on-site extracted asphalt;
s14, after asphalt is aged for T time, forming test pieces with different void ratios, soaking the test pieces in water for 30-50 min, airing the surface, detecting the test pieces by using electromagnetic waves with fixed angles, frequencies and intensities, testing the intensity and the elapsed time of reflected waves at the bottom of the test pieces, and establishing the correlation between the void ratio and the elapsed time and the reflected wave intensity.
3. The continuous detection method for the void fraction of the in-service asphalt pavement surface layer according to claim 1, which is characterized by comprising the following steps: in step S2, specifically:
s21, cleaning the in-service road surface by using a road surface dry cleaning vehicle, and flushing the road surface by using a high-pressure cleaning vehicle under high pressure;
s22, immediately and continuously testing the reflection time of the electromagnetic wave of the pavement and the intensity of the reflected wave along the measuring line after the pavement surface is dried, and acquiring a group of data at intervals of a certain distance;
s23, performing secondary filtering on the electromagnetic wave reflection time and the reflected wave intensity at the bottom of the pavement surface layer of the service pavement.
4. The continuous detection method for the void fraction of the in-service asphalt pavement surface layer according to claim 1, which is characterized by comprising the following steps: in step S3, specifically:
s31, determining the void fraction V determined according to the reflection time measured on site by combining the correlation between the void fraction and the reflection time in the step S1 1 ；
S32, determining the void fraction V determined according to the reflected wave intensity measured on site by combining the correlation between the void fraction and the reflected wave intensity in the step S1 2 ；
S33, calculating the pavement void ratio according to different service ages:
V＝kV 1 +(1-k)V 2 ，
wherein k is a traffic coefficient, which is determined according to road traffic age N,
when N is less than or equal to 5, k=0.3 to 0.4,
when N is more than 5 and less than or equal to 10, k=0.4 to 0.5,
when N is more than 10 and less than or equal to 15, k=0.5-0.6,
when 15 is less than N, k=0.6-0.7;
s34, calculating the void fraction and the void fraction qualification rate according to the void fraction calculation results of all the sampling points and the sampling points;
s35, obtaining a failure point statistical analysis table according to the failure point positions, wherein the failure point positions are automatically converted into pile number distribution according to the initial positions and the failure position coordinates and the initial pile numbers.
5. A continuous in-service asphalt pavement surface void fraction detection method according to any one of claims 2-3, wherein: in step S22, the detection device used for collecting data is the same as that used in step S14, and includes a positioning system, and the electromagnetic wave emission angle, frequency and intensity are the same as those used in step S14.
6. The continuous detection method for void fraction of in-service asphalt pavement surface layer according to claim 3, wherein the method comprises the following steps: in step S23, the secondary filtering method specifically includes: the first filtering adopts a first-order lag filtering method, and the second filtering adopts an arithmetic average filtering method.
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