CN108693340B - Method for detecting flying disease of drainage asphalt pavement - Google Patents
Method for detecting flying disease of drainage asphalt pavement Download PDFInfo
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Abstract
The invention provides a method for detecting flying diseases of a drainage asphalt pavement, which comprises the following steps: s1, acquiring the average construction depth of the wheel track belt and the reference average construction depth; s2, acquiring a construction depth index according to the average construction depth of the wheel track belt and the reference average construction depth; and S3, judging whether the road surface is scattered or not according to the structural depth index. Whether the scattering diseases occur on the pavement is judged through the structural depth index, effective scattering disease detection on the pavement site is realized, the site operation is convenient, guidance is provided for judging the maintenance time of the drainage asphalt pavement, the service life of the drainage asphalt pavement is prolonged through proper maintenance measures, and the functions of drainage, noise reduction, anti-dazzle and the like are better exerted.
Description
Technical Field
The invention relates to the technical field of highway engineering, in particular to a method for detecting flying diseases of a drainage asphalt pavement.
Background
The drainage asphalt (drainage asphal) road surface, also called permeable asphalt (porous asphal) road surface, adopts large-gap asphalt mixture as the surface layer, permeates rainfall into the drainage functional layer, and transversely discharges the rainwater through the layer, thereby eliminating a road surface water film which brings adverse effects on driving, and obviously improving the safety and the comfort of driving in rainy days. Meanwhile, the porous characteristic of the drainage asphalt pavement can greatly reduce traffic noise, and is also called low-noise asphalt pavement (low-noise asphalt pavement).
The drainage asphalt pavement has excellent road performance such as rapid drainage, skid resistance, reduction of water mist and water drift in rainy days, improvement of driving sight distance, reduction of reflection after rain, reduction of noise and the like, and is widely applied to roads in developed countries such as European and American days. However, the large void ratio of the drainage asphalt pavement causes problems such as abrasion of the pavement and scattering of asphalt mixture particles, and affects the durability of the drainage asphalt pavement. The scattering and the resulting craters are the most likely forms of structural failure in the drainage asphalt pavement. The occurrence of such diseases can seriously affect the service life, driving comfort and safety of the road surface. With the large-area popularization of the drainage asphalt pavement in China, new requirements are provided for the research and quality detection of the drainage asphalt pavement.
At present, the method for detecting the flying disease of the drainage asphalt pavement at home and abroad mainly comprises an asphalt mixture Kentabao flying experiment, on-site coring or visual evaluation. The experimental method for scattering of the asphalt mixture kentucky is characterized in that a marshall test piece rotates and impacts in a los angeles testing machine for a specified number of times indoors, and the mass percentage of scattered materials of the asphalt mixture test piece evaluates the degree of scattering and falling of aggregates on the surface of a pavement under the action of traffic load; in the on-site coring, a cylindrical core sample is drilled on a drainage asphalt pavement by using a drilling machine, and an asphalt mixture Kentusburg scattering experiment is carried out on the core sample indoors; and the visual evaluation is that the detection personnel judge whether the flying disease occurs on the pavement by visual. Therefore, the method has poor flexibility, and the method cannot accurately and effectively detect and evaluate the flying diseases of the drainage asphalt pavement on the pavement site.
Therefore, how to provide a method for detecting the flying disease of the drainage asphalt pavement, which can realize effective flying disease detection on the pavement site, is a problem to be solved urgently.
Disclosure of Invention
Aiming at the defects in the prior art, the invention provides a method for detecting the flying disease of the drainage asphalt pavement.
The method for detecting the flying disease of the drainage asphalt pavement comprises the following steps: s1, acquiring the average construction depth of the wheel track belt and the reference average construction depth; s2, acquiring a construction depth index according to the average construction depth of the wheel track belt and the reference average construction depth; and S3, judging whether the road surface is scattered or not according to the structural depth index.
Wherein the build depth index is obtained by:
wherein TDI is the texture depth index, MTDLFor the average build depth, MTD, of the track stripJConstructing a depth for the baseline average.
Wherein the step S3 includes: if the structural depth index is judged to be larger than a preset threshold value, the pavement is subjected to flying diseases; otherwise, no flyaway disease occurs.
Wherein the average construction depth of the wheel tracks comprises a left wheel track average construction depth and a right wheel track average construction depth; the left track belt is located in a range extending rightwards from a left marking line of the road by a first preset distance; the right wheel track is located within a range extending leftwards from the right road marking by a second preset distance.
Wherein the reference average construction depth comprises the average construction depth of the middle part of the lane or the average construction depth of the emergency lane; the middle of the lane is an area between the left wheel track and the right wheel track.
When the reference average construction depth is the average construction depth in the middle of the lane, the corresponding preset threshold is a first preset threshold; and when the reference average construction depth is the emergency lane average construction depth, the corresponding preset threshold is a second preset threshold.
Before step S1, the method further includes: and acquiring the structural depth of a plurality of detection points in the detection section or the detection area of the drainage asphalt pavement.
Wherein, the structure depth of obtaining multiple spot in detection section or the detection area of drainage bituminous paving includes: acquiring the structural depth of a plurality of detection points in a detection section or a detection area of the drainage asphalt pavement by adopting a laser structural depth detection vehicle or a sand paving method; wherein the sanding method comprises a manual sanding method or an electric sanding method.
The number of the detection points is larger than the preset number.
The average construction depth of the emergency lane is obtained by obtaining an average value of construction depths of a plurality of detection points in a detection section or a detection area of the emergency lane.
The method for detecting the flying diseases of the drainage asphalt pavement provided by the invention judges whether the flying diseases occur on the pavement or not through the structural depth index, realizes effective flying disease detection on the pavement site, is convenient to operate on the site, provides guidance for judging the maintenance time of the drainage asphalt pavement, prolongs the service life of the drainage asphalt pavement through proper maintenance measures, and better exerts the functions of drainage, noise reduction, anti-dazzle and the like.
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Fig. 1 is a schematic flow chart of a method for detecting a flying disease of a drainage asphalt pavement according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some embodiments, but not all embodiments, of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Fig. 1 is a schematic flow chart of a method for detecting a splash disease of a drainage asphalt pavement, which is provided by an embodiment of the present invention, and as shown in fig. 1, the method includes: s1, acquiring the average construction depth of the wheel track belt and the reference average construction depth; s2, acquiring a construction depth index according to the average construction depth of the wheel track belt and the reference average construction depth; and S3, judging whether the road surface is scattered or not according to the structural depth index.
Wherein the drainage asphalt pavement can be a drainage asphalt pavement with the porosity of 18-25% and the water permeability coefficient of not less than 3600 ml/min; wherein, the void ratio is the proportion of the void volume of the dispersed granular material in the accumulation volume; the water permeability coefficient refers to the permeability of a general fluid when the laminar state passes through a powder layer. The above-described types of drainage asphalt pavement are merely illustrative of embodiments of the present invention, and the scope of the embodiments of the present invention is not limited thereto.
The wheel track is a zone with high frequency of driving wheel track action in the lane. The structural Depth (TD) of the road surface, also called Texture Depth, is an important index of road surface roughness. The structural depth refers to the average depth of the uneven open pores on the road surface with a certain area, and is mainly used for evaluating the macro roughness, the drainage performance and the skid resistance of the road surface.
Wherein, according to the contact frequency of the vehicle and the road surface, the road surface can be divided into a wheel track belt part and a reference part; the wheel track part which is in more contact with the vehicle is a part with a serious flying disease degree in the road surface; the reference portion that is less in contact with the vehicle is a portion of the road surface that is less susceptible to scattering damage. The road surface classification method is only used for illustrating the embodiment of the invention, but the protection scope of the embodiment of the invention is not limited thereto.
In step S1, the road surface may be first divided into a wheel track belt portion and a reference portion, and then the average construction depth of the wheel track belt portion and the average construction depth of the reference portion may be respectively obtained through an asphalt mixture surface construction depth experiment.
In step S2, a structural depth index is further acquired from the average structural depth of the track strip and the reference average structural depth acquired in step S1. The build depth index is an index that reflects the difference between the average build depth of the swath and the baseline average build depth.
In step S3, the structural depth index value acquired in step S2 reflects the degree of occurrence of a scattering damage in the tread portion, and in this step, whether or not a scattering damage occurs in the road surface can be further determined from the structural depth index value.
According to the method for detecting the flying diseases of the drainage asphalt pavement, provided by the embodiment of the invention, whether the flying diseases occur on the pavement is judged through the structural depth index, so that the effective flying disease detection is realized on the site of the pavement, the operation is convenient on the site, the guidance is provided for judging the maintenance time of the drainage asphalt pavement, the service life of the drainage asphalt pavement is prolonged through proper maintenance measures, and the functions of drainage, noise reduction, anti-dazzle and the like are better exerted.
Based on the above embodiment, wherein the formation depth index is obtained by:
wherein TDI is the texture depth index, MTDLFor the average build depth, MTD, of the track stripJConstructing a depth for the baseline average.
Specifically, in step S2, the depth MTD is constructed with the average track bandLMTD with reference mean construction depthJThe ratio of (a) to (b) is used as a structural depth index TDI, which reflects the difference between the structural depth of the wheel band portion and the structural depth of the reference portion. The larger the structure depth index TDI, the larger the difference, that is, the more serious the degree of occurrence of scattering disease in the flight band portion. By taking the ratio of the average construction depth of the wheel track belt to the reference average construction depth as the construction depth index, the degree of flying diseases on the pavement can be accurately reflected.
Based on the above embodiment, wherein the step S3 includes: if the structural depth index is judged to be larger than a preset threshold value, the pavement is subjected to flying diseases; otherwise, no flyaway disease occurs.
Specifically, in step S3, a threshold value may be set in advance before detection, and after the formation depth index is acquired, it is compared with the preset threshold value. If the construction depth index is larger than a preset threshold value, the difference between the average construction depth of the wheel track belt and the reference average construction depth is large, and the scattering disease occurs on the drainage asphalt pavement; otherwise, the flying disease of the drainage asphalt pavement does not occur. By setting a preset threshold value, a judgment standard for judging whether the flying diseases occur on the road surface can be provided, so that the detection result has reasonability.
Based on the above embodiment, wherein the average construction depth of the wheel tracks comprises a left wheel track average construction depth and a right wheel track average construction depth; the left track belt is located in a range extending rightwards from a left marking line of the road by a first preset distance; the right wheel track is located within a range extending leftwards from the right road marking by a second preset distance.
Specifically, during driving of the vehicle, the left wheel is usually close to the left marking of the road lane, so in the embodiment of the present invention, the left wheel track portion may be determined to be within a range extending a certain distance to the right from the left marking of the road, for example, within a range extending 1m to the right from the left marking; similarly, the right track portion may be determined to be within a range extending a distance leftward from the right road marking, for example, within a range extending 1m leftward from the right road marking. By reasonably determining the band region of the trace, the detection accuracy can be improved.
Based on the above embodiment, wherein the reference average formation depth includes a lane middle average formation depth or an emergency lane average formation depth; the middle of the lane is an area between the left wheel track and the right wheel track.
Specifically, the reference average build depth may be a median average build depth of the lane or an average build depth of the emergency lane. The middle part of the lane is an area between a left wheel track and a right wheel track in the common lane. Because vehicles in the common lane mainly travel along the wheel track, the middle part of the lane is less in contact with the wheels, so that the degree of flying diseases is considered to be low, and the average construction depth can be used as the reference average construction depth; similarly, since the vehicle is not normally driven on the emergency lane, it is also considered that the degree of occurrence of the scattering damage is small, and similarly, the average structural depth thereof can be also used as the reference average structural depth.
Accordingly, the calculation method for constructing the depth index TDI includes:
wherein, MTDZConstructing the average depth of the middle part of the lane; or the like, or, alternatively,
wherein, MTDYAnd constructing the average depth of the emergency lanes.
By providing the selection of various reference average construction depths, different detection requirements are met, and the detection result is more accurate.
Based on the above embodiment, when the reference average formation depth is the middle average formation depth of the lane, the corresponding preset threshold is a first preset threshold; and when the reference average construction depth is the emergency lane average construction depth, the corresponding preset threshold is a second preset threshold.
Specifically, since the reference average construction depth can be selected from the average construction depth of the middle of the lane or the average construction depth of the emergency lane, different reference portions can be selected on the same road surface, so that different construction depth indexes can be obtained. However, the scattering degrees of the center of the lane and the emergency lane are not the same, and therefore, in step S3, the average formation depth of the center of the lane and the average formation depth of the emergency lane may correspond to different preset thresholds, respectively.
For example, when the mean formation depth in the middle of the lane is selected as the reference mean formation depth, the corresponding first preset threshold may be 1.2; when the emergency lane average build depth is selected as the reference average build depth, the corresponding second preset threshold may be 1.5. The detection result is more accurate by setting different reference average construction depths corresponding to different preset thresholds.
Based on the above embodiment, before the step S1, the method further includes: and acquiring the structural depth of a plurality of detection points in the detection section or the detection area of the drainage asphalt pavement.
The detection section can be a cross section of a road, namely a section perpendicular to the center line of the road, for example, the detection section can be a cross section at 1km of the road; the detection area may be an area within a road of a certain length range, for example, the detection area may be an area range of 1km to 2km in the road.
Specifically, the detection cross section or the detection area may be selected as a detection range according to the detection requirement, and the average construction depth of the wheel track strip and the reference average construction depth in step S1 may be obtained by obtaining the construction depths of a plurality of points located in the detection range and taking an average value. Through carrying out the multiple spot detection to the structure degree of depth in same detection section or the same detection area of drainage bituminous paving, after obtaining the structure degree of depth of a plurality of check points, can accurately obtain average structure degree of depth, promote detection accuracy and satisfy multiple detection demand.
Based on the above embodiment, wherein the obtaining of the structural depth of the plurality of points in the detection section or the detection area of the drainage asphalt pavement includes: acquiring the structural depth of a plurality of detection points in a detection section or a detection area of the drainage asphalt pavement by adopting a laser structural depth detection vehicle or a sand paving method; wherein the sanding method comprises a manual sanding method or an electric sanding method.
The laser structure depth detection vehicle is a device for measuring the road structure depth, measures the depth change condition between ground materials and material particles through a laser sensor, and obtains the road structure depth through a correlation calculation formula; the sand paving method comprises a manual sand paving method and an electric sand paving method, wherein fine sand is paved on a road surface, and the ratio of the volume of the sand embedded into uneven surface gaps to the coverage area is calculated, so that the construction depth is obtained, and the specific method comprises the following steps: paving sand with a known volume on a detection point of a road surface to be detected, measuring and leveling the covered area, wherein the ratio of the volume of the sand to the covered average area is the construction depth. Different detection requirements are met by providing different structure depth acquisition methods.
Based on the above embodiment, wherein the number of the plurality of detection points is greater than a preset number. Specifically, when acquiring the construction depth of a plurality of detection points on the road surface, the number of detection points should be greater than a preset number. For example, when detecting a specified section of a normal lane, since the road surface of the normal lane can be divided into a left wheel track, a middle part of the lane and a right wheel track, in order to obtain the average construction depth of each part, at least 2 detection points should be set for each part, and thus not less than 6 detection points should be set for each normal lane. The detection result is more reasonable and accurate by acquiring the construction depth of the detection points with the number larger than the preset number.
Based on the above embodiment, the average construction depth of the emergency lane is obtained by obtaining an average value of construction depths of a plurality of detection points in a detection section or a detection area of the emergency lane.
Specifically, when the average construction depth of the emergency lane is used as the reference average construction depth, the emergency lane is different from the ordinary lane, and no wheel track exists, so that the average construction depth of the emergency lane is the average construction depth of the emergency lane road surface. Therefore, the detection depth of the detection section or the detection area of the emergency lane can be obtained by calculating the average value after the construction depths of the plurality of detection points are obtained. Through the method for acquiring the average construction depth of the emergency lane, the average construction depth of the emergency lane can be accurately acquired.
The method for detecting the flying virus disease of the drainage asphalt pavement provided by the embodiment of the invention is applied to detect the first lane to the third lane of the drainage asphalt pavement serving for years by taking the drainage asphalt concrete overlay project of the coastal expressway in Jiangsu province as an example.
In this example, the structural depths of a plurality of detection points of a first lane, a second lane and a third lane of the specified cross section of the road surface are obtained by a sand paving method, firstly, the average structural depth of the middle part of the lane is taken as a reference average structural depth, and the corresponding first preset threshold value is 1.2. The specific calculation method is as follows:
in the formula: MTDmnRepresenting the mean build depth, TDImnRepresenting a build depth index; wherein: m represents the serial number of the lane; n represents a position different from each lane, n is 0 representing a reference portion, n is 1 representing a left track, and n is 2 representing a right track.
E.g. MTD12Indicating the right track of the first laneWith average build depth, TDI22And representing the formation depth index of the right track of the second lane. The specific detection results are as follows:
TABLE 1 first lane test results
| MTD10 | MTD11 | TDI11 | MTD12 | TDI12 |
| 2.0 | 2.2 | 1.1 | 2.5 | 1.3 |
As can be seen, TDI11＝1.1<1.2，TDI12＝1.3>1.2, therefore, the left wheel track belt of the first lane has flying diseases, and the right wheel track belt of the first lane has no flying diseases.
TABLE 2 second Lane detection results
| MTD20 | MTD21 | TDI21 | MTD22 | TDI22 |
| 2.8 | 4.0 | 1.4 | 4.7 | 1.7 |
As can be seen, TDI21＝1.4>1.2，TDI22＝1.7>1.2, therefore, the left wheel track belt and the right wheel track belt of the second lane are both subjected to flying diseases.
TABLE 3 third Lane detection results
| MTD30 | MTD31 | TDI31 | MTD32 | TDI32 |
| 2.5 | 3.2 | 1.3 | 3.8 | 1.5 |
As can be seen, TDI31＝1.3>1.2，TDI32＝1.5>1.2, therefore, the left wheel track and the right wheel track of the third lane are both subjected to flying diseases.
Similarly, the emergency lane average structural depth is used as the reference average structural depth for the first to third lanes of the road surface, and the corresponding second preset threshold value is 1.5. The specific detection results are as follows:
TABLE 4 first lane test results
| MTD10 | MTD11 | TDI11 | MTD12 | TDI12 |
| 1.6 | 2.2 | 1.4 | 2.5 | 1.6 |
As can be seen, TDI11＝1.4<1.5，TDI12＝1.6>1.5, therefore, the left track belt of the first lane is scatteredAnd (4) damage, namely the right wheel track of the first lane is not scattered.
TABLE 5 second Lane detection results
| MTD20 | MTD21 | TDI21 | MTD22 | TDI22 |
| 2.2 | 4.0 | 1.8 | 4.7 | 2.1 |
As can be seen, TDI21＝1.8>1.5，TDI22＝2.1>1.5, therefore, the left wheel track belt and the right wheel track belt of the second lane are both subjected to flying diseases.
TABLE 6 third Lane detection results
| MTD30 | MTD31 | TDI31 | MTD32 | TDI32 |
| 1.9 | 3.2 | 1.7 | 3.8 | 2.0 |
As can be seen, TDI31＝1.7>1.5，TDI32＝2.0>1.5, therefore, the left wheel track and the right wheel track of the third lane are both subjected to flying diseases.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (10)
1. A method for detecting the flying disease of a drainage asphalt pavement is characterized by comprising the following steps:
s1, acquiring the average construction depth of the wheel track belt and the reference average construction depth;
s2, acquiring a construction depth index according to the average construction depth of the wheel track belt and the reference average construction depth;
and S3, judging whether the road surface is scattered or not according to the structural depth index.
2. The method of claim 1, wherein the build depth index is obtained by:
wherein TDI is the texture depth index, MTDLFor the average build depth, MTD, of the track stripJConstructing a depth for the baseline average.
3. The method according to claim 1, wherein the step S3 includes: if the structural depth index is judged to be larger than a preset threshold value, the pavement is subjected to flying diseases; otherwise, no flyaway disease occurs.
4. The method of claim 1, wherein the average construction depth of the footprint comprises a left average construction depth and a right average construction depth;
the left track belt is located in a range extending rightwards from a left marking line of the road by a first preset distance; the right wheel track is located within a range extending leftwards from the right road marking by a second preset distance.
5. The method of claim 4, wherein the baseline average build depth comprises a mid-lane average build depth or an emergency lane average build depth;
the middle of the lane is an area between the left wheel track and the right wheel track.
6. The method according to claim 5, characterized in that when the reference average build depth is the median average build depth in the lane, the corresponding preset threshold is a first preset threshold; and when the reference average construction depth is the emergency lane average construction depth, the corresponding preset threshold value is a second preset threshold value.
7. The method according to claim 1, wherein before the step S1, the method further comprises: and acquiring the structural depth of a plurality of detection points in the detection section or the detection area of the drainage asphalt pavement.
8. The method of claim 7, wherein the obtaining of the formation depth of the plurality of points within the detection section or detection area of the drainage asphalt pavement comprises:
acquiring the structural depth of a plurality of detection points in a detection section or a detection area of the drainage asphalt pavement by adopting a laser structural depth detection vehicle or a sand paving method; wherein the sanding method comprises a manual sanding method or an electric sanding method.
9. The method of claim 7, wherein the number of the plurality of detection points is greater than a preset number.
10. The method according to claim 5, wherein the average construction depth of the emergency lane is obtained by obtaining an average value of construction depths of a plurality of detection points within a detection section or a detection area of the emergency lane.
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