CN115017979A - Pavement condition evaluation method for semi-rigid base asphalt pavement - Google Patents
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Abstract
The invention discloses a pavement condition evaluation method of a semi-rigid base asphalt pavement, which comprises the following specific steps: acquiring surface damage data of the semi-rigid base asphalt pavement through image recognition, and carrying out full-section detection on the semi-rigid base asphalt pavement by adopting a 3D radar technology to obtain internal disease data; classifying damage types of road surface diseases of the road section according to the surface damage data and the internal disease data; and counting the damage volumes corresponding to various damage types, acquiring the three-dimensional damage volume of the road surface of the road section, and finally giving a three-dimensional damage condition index 3DPCI of the road surface of the road section. The method can effectively identify the semi-rigid base asphalt pavement diseases, reasonably evaluate the semi-rigid base asphalt pavement disease conditions, and solve the problem that the existing pavement disease conditions can only evaluate the surface conditions; the damage volume is adopted to evaluate the 3D damage states of different damage types, so that the damage condition in the road surface can be described more accurately, and the follow-up treatment method can be guided more accurately.
Description
Technical Field
The invention relates to the field of road engineering, in particular to a pavement condition evaluation method for a semi-rigid base asphalt pavement.
Background
The highway traffic mileage in China is the first in the world, the traffic infrastructure is large in scale, and with the fact that roads constructed in early days enter a large-scale maintenance period, how to maintain and maintain the large-scale infrastructure is a problem which needs to be solved urgently at present.
More than 90% of expressways for traffic in China are semi-rigid base asphalt pavements, and the existing research shows that the semi-rigid base asphalt pavements are mainly characterized by base internal cracks, but according to the current standard of highway technical condition evaluation (JTG 5210 and 2018), only surface layer diseases of the asphalt pavements are evaluated, and the conditions of breakage and cracks in the semi-rigid base are not reasonably evaluated by proper means and methods.
Because of lacking of evaluation and detection means of the internal damage condition of the semi-rigid base layer, the existing pavement maintenance only stays in a surface layer maintenance stage, and most of surface layer diseases are caused by the fact that internal diseases are expanded to the surface layer, so that part of the expressway is subjected to surface layer maintenance every year, but the maintenance part continues to be damaged in the second year; the road maintenance and the bad influence of the annual damage are caused to the society, and simultaneously, the capital and the resource waste are caused.
Disclosure of Invention
In view of the above problems, the present invention aims to provide a pavement condition evaluation method for evaluating the disease condition of a semi-rigid base asphalt pavement reasonably and giving a repair recommendation.
In order to realize the technical purpose, the scheme of the invention is as follows: a pavement condition evaluation method of a semi-rigid base asphalt pavement comprises the following specific steps:
s1: acquiring surface damage data of the semi-rigid base asphalt pavement through image recognition, and carrying out full-section detection on the semi-rigid base asphalt pavement by adopting a 3D radar technology to obtain internal disease data;
s2: classifying damage types of road surface diseases of the road section according to the surface damage data and the internal disease data;
s3: and counting the damage volumes corresponding to various damage types, acquiring the three-dimensional damage volume of the road surface of the road section, and finally giving a three-dimensional damage condition index 3DPCI of the road surface of the road section.
Preferably, the calculation formula of the three-dimensional damage condition index in step S3 is as follows:
wherein: n is the number of types of diseases; c i Is the repair case coefficient; d i To impair the volume, m 3 ；F i Is a damage degree coefficient; m is the total thickness of the semi-rigid base asphalt pavement of the road section and the number of sections; l is j Is the road surface length of the corresponding segment, m; h j Is the road surface thickness of the corresponding section, m; a is a correction coefficient; b is a correction index.
Preferably, the disease type in step S2 is one or more of cracks, block cracks, transverse cracks, longitudinal cracks, subsidence, rutting, wave hugs, pot holes, loose, and flooding.
Preferably, the method is characterized in that: when the damage type is cracking, the damage volume is the cracking area multiplied by the maximum cracking depth;
when the damage type is a block crack, the damage volume is equal to the block crack area multiplied by the average crack depth; when the damage type is transverse crack, the damage volume is equal to the length of the transverse crack multiplied by 0.2m multiplied by the average depth of the crack; when the damage type is longitudinal cracks, the damage volume is equal to the longitudinal crack length multiplied by 0.2m multiplied by the average depth of the cracks;
when the damage type is subsidence, the damage volume is the subsidence area multiplied by the maximum depth of the subsidence; when the damage type is rutting, the damage volume is equal to the rutting length multiplied by 0.4m multiplied by the maximum rutting depth;
when the damage type is wave hugging, the damage volume is the wave area multiplied by the maximum wave hugging depth; when the damage type is the pit, the damage volume is equal to the area of the pit and multiplied by the maximum depth of the pit; when the damage type is loose, the damage volume is the loose area multiplied by the maximum depth of the loose; when the damage type is flooding, the damage volume is the flooding area × the asphalt layer thickness.
Preferably, the repair condition coefficient is 1 when the repair is poor, and the repair condition coefficient is 0 when the repair is good;
wherein: the correction coefficient a is 15; the correction index b is 0.412.
Preferably, when the damage of the pavement surface is a longitudinally and transversely crossed crack, five or more intersection points exist between the longitudinal crack and the transverse crack in the damage range, the pavement damage in the damage range is a plurality of block structures, and the area of each block structure is 0.01-0.04m 2 If so, judging the damage type to be cracking;
when the surface of the pavement is damaged and has a fault formed by intersection points, 1-2 intersection points exist in the longitudinal cracks and the transverse cracks in the damage range, and the crack area towards the cracks or the transverse cracks is 1-5m 2 Judging the damage type to be a block crack;
preferably, when the road surface is damaged and cracks vertical to the driving direction appear, judging that transverse cracks exist, if the width of the transverse cracks is less than or equal to 3mm, judging that the transverse cracks are mild cracks, and if the width of the transverse cracks is more than 3mm, judging that the transverse cracks are severe cracks;
when the pavement surface is damaged and cracks parallel to the driving direction appear, judging that longitudinal cracks exist, if the width of the longitudinal cracks is less than or equal to 3mm, judging that the longitudinal cracks are mild cracks, and if the width of the longitudinal cracks is more than 3mm, judging that the longitudinal cracks are severe cracks;
preferably, when the road surface height is suddenly lower than the surrounding road surface height, and the height difference between the lowest point in the damage range and the surrounding road surface is more than 5cm, the damage type is judged to be subsidence;
and when the road surface damage is vertical to the driving direction and the road surface height in the damaged meal is lower than the area formed by the average elevation of the section, judging that the damage type is rut.
The method has the advantages that different pavement disease types and damage volumes of semi-rigid base asphalt can be effectively identified, further the pavement disease condition of the semi-rigid base asphalt can be reasonably evaluated, and the problem that the existing pavement disease condition can only be evaluated on the surface condition can be solved; meanwhile, the damage volume is adopted to evaluate the 3D damage states of different damage types, so that the internal damage condition of the road surface can be described more accurately, a subsequent treatment method can be guided more accurately, or an ultra-thin wearing layer can be paved additionally, and repeated or ineffective construction can be effectively reduced.
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FIG. 1 is a flow chart of the present invention.
Detailed Description
The invention is described in further detail below with reference to the figures and specific embodiments.
As shown in fig. 1, the specific embodiment of the present invention is a method for evaluating a pavement condition of a semi-rigid base asphalt pavement, which comprises the following specific steps:
s1: acquiring surface damage data of the semi-rigid base asphalt pavement through image recognition, and carrying out full-section detection on the semi-rigid base asphalt pavement by adopting a 3D radar technology to obtain internal disease data;
s2: according to the surface damage data and the internal damage data, carrying out damage type classification on the road surface damage of the road section;
s3: counting damage volumes corresponding to various damage types, acquiring a three-dimensional damage volume of the road surface of the road section, and finally giving a three-dimensional damage condition index 3DPCI of the road surface of the road section;
the three-dimensional damage volume calculation formula of the semi-rigid base asphalt pavement of the detection road section is as follows:
calculating the three-dimensional damage rate of the semi-rigid base asphalt pavement of the detected road section according to the following formula:
the three-dimensional damage condition index is calculated as follows:
wherein: n is the number of types of diseases; c i Is the repair case coefficient; d i To impair the volume, m 3 ；E i Is a damage degree coefficient; m is the total thickness of the semi-rigid base asphalt pavement of the road section and the number of sections; l is j Is the road surface length of the corresponding segment, m; h j Is the road surface thickness of the corresponding section, m; a is a correction coefficient; b is a correction index.
In order to be able to better judge the type of damage, several damage types that are easily confused are distinguished. When the surface of the road surface is damaged into longitudinally and transversely crossed cracks, five or more intersection points exist between the longitudinal cracks and the transverse cracks in the damage range, and the road surface is damaged into a plurality of block structures in the damage range, and the area of each block structure is 0.01-0.04m 2 If so, judging the damage type to be cracking;
when the surface of the pavement is damaged and has a fault formed by intersection points, 1-2 intersection points exist in the longitudinal cracks and the transverse cracks in the damage range, and the crack area towards the cracks or the transverse cracks is 1-5m 2 If so, judging the damage type to be a block crack;
further, when the road surface is damaged and has a crack vertical to the driving direction, judging that a transverse crack exists, if the width of the transverse crack is less than or equal to 3mm, judging that the transverse crack is a slight crack, and if the width of the transverse crack is more than 3mm, judging that the transverse crack is a severe crack;
when the pavement surface is damaged and cracks parallel to the driving direction appear, judging that longitudinal cracks exist, if the width of the longitudinal cracks is less than or equal to 3mm, judging that the longitudinal cracks are mild cracks, and if the width of the longitudinal cracks is more than 3mm, judging that the longitudinal cracks are severe cracks;
further, when the height of the road surface is suddenly lower than that of the surrounding road surface, and the height difference between the lowest point in the damage range and the surrounding road surface is more than 5cm, judging that the damage type is subsidence;
and when the road surface damage is vertical to the driving direction and the road surface height in the damaged meal is lower than the area formed by the average elevation of the section, judging that the damage type is rut.
In order to conveniently calculate the damage volumes of various damage types and further to conveniently analyze the damage rate of the whole pavement, a damage volume calculation mode is provided. Judging whether the damage type is cracking, wherein the damage volume is the cracking area multiplied by the maximum cracking depth;
when the damage type is a block crack, the damage volume is equal to the block crack area multiplied by the average crack depth; when the damage type is transverse crack, the damage volume is equal to the length of the transverse crack multiplied by 0.2m multiplied by the average depth of the crack; when the damage type is longitudinal cracks, the damage volume is equal to the longitudinal crack length multiplied by 0.2m multiplied by the average depth of the cracks;
when the damage type is subsidence, the damage volume is the subsidence area multiplied by the maximum depth of subsidence; when the damage type is the track, the damage volume is track length multiplied by 0.4m multiplied by the maximum depth of the track;
when the damage type is wave hugging, the damage volume is the wave area multiplied by the maximum wave hugging depth; when the damage type is a pit, the damage volume is equal to the area of the pit and multiplied by the maximum depth of the pit; when the damage type is loose, the damage volume is the loose area multiplied by the maximum depth of the loose; when the damage type is flooding, the damage volume is the flooding area × the asphalt layer thickness.
The first embodiment is as follows:
the traditional road surface condition evaluation method only considers the repairing condition and does not consider the repairing quality, so that the actual serious damage of a part of road sections is caused, but according to the standard evaluation of technical road condition (JTG 5210 and 2018), the road surface condition of the road sections is still better and is not in accordance with the actual feeling of a user. In the reconstruction and expansion process, the original road surface needs to be processed to prevent serious damage from occurring soon after the road surface is opened, the original road surface generally needs to be detected, and the road section with the serious damage is processed in the modes of milling, planing, re-paving and the like, but the internal damage condition cannot be effectively found by adopting the traditional evaluation method, and the evaluation result is difficult to be used for decision making.
TABLE 1 evaluation of damage type by the method
In order to facilitate that the 3DPCI has an intuitive evaluation value, the correction coefficient a is 15; the correction index b is 0.412. 3 evaluation grade specification corresponding to DPCI value: when 3DPCI is more than or equal to 90, the rating is: the quality is excellent; 3DPCI is more than or equal to 80, but less than 90, and is graded as: good; 3DPCI is more than or equal to 70 and less than 80, and the rating is: performing the following steps; 3DPCI is more than or equal to 60 and less than 70, and the rating is: secondly; 3DPCI < 60, rated as: and (4) poor. The specific test data are as follows: table 2 below is a condition table using the road surface 3D condition evaluation method 3DPCI of the present application.
TABLE 2 3DPCI Condition Table for 3D Condition of pavement
Table 3 is a condition table for evaluating the PCI of the pavement condition of the semi-rigid base asphalt pavement when the pavement condition evaluation test is carried out by adopting the current 'road technical condition evaluation Standard' (JTG 5210-2018) specification.
TABLE 3 PCI CONDITION TABLE FOR ROAD CONDITION
TABLE 4 comparison of road surface condition evaluation results of semi-rigid base asphalt road surface
| Pile number | K325+400～K325+500 | K325+500～K325+600 | K325+600～K325+700 | K325+700～K325+8700 |
| 3DPCI | 77.2 | 80.3 | 72.0 | 70.8 |
| 3D status evaluation results | In (1) | Good quality | In | In |
| PCI | 92.1 | 91.0 | 90.2 | 89.6 |
| Evaluation results | Superior food | Good wine | Good quality | Good wine |
Therefore, the internal diseases of the pavement can be effectively identified by adopting the 3D condition evaluation of the semi-rigid base asphalt pavement, so that the condition of the semi-rigid base asphalt pavement can be better evaluated. The method can be used for effectively guiding the treatment mode of the original pavement, and is shown in the following table:
TABLE 5 comparison of proposed treatment modes for the road section
Example two:
and selecting a maintenance project needing to additionally lay an ultrathin wearing layer on the upper part, wherein after the road section is used for many years, partial diseases appear on the surface. Because the thickness of the ultra-thin wearing layer is relatively thin, if the internal damage of the pavement structure is relatively serious, the ultra-thin wearing layer can be damaged soon after being laid, and obviously, the ultra-thin wearing layer is not suitable. Therefore, 3D detection needs to be carried out on the road section, the damage type and the severity degree of the interior of the road surface structure are determined, and an ultra-thin wearing layer is guided to be paved on the road section (the evaluation related parameters of the damage type are shown in the table 1, a correction coefficient a is 15, and a correction index b is 0.412). The results of the link detection are shown in the following table:
TABLE 6 3D DPCI Condition Table for 3D Condition of pavement to be paved with ultra-thin wearing layer
According to the results, the ultra-thin wearing course section is recommended to be paved as follows.
TABLE 7 comparison of proposed additional paving treatment modes for the road section
In summary, the method can effectively identify and distinguish various types of diseases of the semi-rigid base asphalt pavement, can effectively analyze and calculate the damage volume corresponding to each type of disease and the overall damage rate, can reasonably evaluate the disease condition of the semi-rigid base asphalt pavement through the damage rate, and can solve the problem that the existing pavement disease condition can only evaluate the surface condition; meanwhile, the damage volume is adopted to evaluate the 3D damage states of different damage types, so that the internal damage condition of the road surface can be described more accurately, a subsequent treatment method can be guided more accurately, or an ultrathin wearing layer can be paved additionally, and repeated or ineffective construction can be effectively reduced.
The above description is only a preferred embodiment of the present invention, and is not intended to limit the present invention, and any minor modifications, equivalent replacements and improvements made to the above embodiment according to the technical spirit of the present invention should be included in the protection scope of the technical solution of the present invention.
Claims (8)
1. A pavement condition evaluation method of a semi-rigid base asphalt pavement is characterized by comprising the following steps: the method comprises the following specific steps:
s1: acquiring surface damage data of the semi-rigid base asphalt pavement through image recognition, and carrying out full-section detection on the semi-rigid base asphalt pavement by adopting a 3D radar technology to obtain internal disease data;
s2: classifying damage types of road surface diseases of the road section according to the surface damage data and the internal disease data;
s3: and counting the damage volumes corresponding to various damage types, acquiring the three-dimensional damage volume of the road surface of the road section, and finally giving a three-dimensional damage condition index 3DPCI of the road surface of the road section.
2. The method for evaluating a road surface condition of a semi-rigid base asphalt pavement according to claim 1, characterized in that: the calculation formula of the three-dimensional damage condition index in step S3 is as follows:
wherein: n is the number of types of diseases; c i Is the repair case coefficient; d i To impair the volume, m 3 ；F i Is a damage degree coefficient; m is the total thickness of the semi-rigid base asphalt pavement of the road section and the number of sections; l is j Is the road surface length of the corresponding segment, m; h j Is the road surface thickness of the corresponding section, m; a is a correction coefficient; b is a correction index.
3. The method for evaluating a road surface condition of a semi-rigid base asphalt pavement according to claim 1, characterized in that: the disease types in the step S2 are one or more of cracks, block cracks, transverse cracks, longitudinal cracks, subsidence, ruts, wave hugs, pits, loose, and flooding.
4. The method for evaluating a road surface condition of a semi-rigid base asphalt pavement according to claim 3, characterized in that: when the damage type is cracking, the damage volume is the cracking area multiplied by the maximum cracking depth;
when the damage type is a block crack, the damage volume is equal to the block crack area multiplied by the average crack depth; when the damage type is transverse crack, the damage volume is equal to the length of the transverse crack multiplied by 0.2m multiplied by the average depth of the crack; when the damage type is longitudinal cracks, the damage volume is equal to the longitudinal crack length multiplied by 0.2m multiplied by the average depth of the cracks;
when the damage type is subsidence, the damage volume is the subsidence area multiplied by the maximum depth of subsidence; when the damage type is rutting, the damage volume is equal to the rutting length multiplied by 0.4m multiplied by the maximum rutting depth;
when the damage type is wave hugging, the damage volume is the wave area multiplied by the maximum wave hugging depth; when the damage type is the pit, the damage volume is equal to the area of the pit and multiplied by the maximum depth of the pit; when the damage type is loose, the damage volume is the loose area multiplied by the maximum depth of the loose; when the damage type is flooding, the damage volume is the flooding area × the asphalt layer thickness.
5. The method for evaluating a road surface condition of a semi-rigid base asphalt pavement according to claim 1, characterized in that: when the repair is poor, the coefficient of the repair condition is 1, and when the repair is good, the coefficient of the repair condition is 0;
wherein: the correction coefficient a is 15; the correction index b is 0.412.
6. The method for evaluating a road surface condition of a semi-rigid base asphalt pavement according to claim 3, characterized in that: when the surface of the road surface is damaged into longitudinally and transversely crossed cracks, five or more intersection points exist between the longitudinal cracks and the transverse cracks in the damage range, and the road surface is damaged into a plurality of block structures in the damage range, wherein the area of each block structure is 0.01-0.04m 2 If so, judging the damage type to be cracking;
when the surface of the pavement is damaged and has a fault formed by intersection points, 1-2 intersection points exist in the longitudinal cracks and the transverse cracks in the damage range, and the crack area towards the cracks or the transverse cracks is 1-5m 2 And judging the damage type to be a block crack.
7. The method for evaluating a pavement condition of a semi-rigid base asphalt pavement according to claim 3, characterized in that: when the pavement surface is damaged and cracks vertical to the driving direction appear, judging that transverse cracks exist, if the width of the transverse cracks is less than or equal to 3mm, judging that the transverse cracks are slight cracks, and if the width of the transverse cracks is more than 3mm, judging that the transverse cracks are severe cracks;
and when the road surface is damaged and cracks parallel to the driving direction appear, judging that longitudinal cracks exist, if the width of the longitudinal cracks is less than or equal to 3mm, judging that the longitudinal cracks are mild cracks, and if the width of the longitudinal cracks is more than 3mm, judging that the longitudinal cracks are severe cracks.
8. The method for evaluating a road surface condition of a semi-rigid base asphalt pavement according to claim 3, characterized in that: when the height of the road surface is suddenly lower than that of the surrounding road surface, and the height difference between the lowest point in the damage range and the surrounding road surface is more than 5cm, judging that the damage type is subsidence;
and when the road surface damage is vertical to the driving direction and the road surface height in the damaged meal is lower than the area formed by the average elevation of the section, judging that the damage type is rut.
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| CN117518281A (en) * | 2023-12-29 | 2024-02-06 | 山东高速集团有限公司 | Method for quantitatively evaluating pavement hidden diseases based on three-dimensional ground penetrating radar |
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| CN117518281A (en) * | 2023-12-29 | 2024-02-06 | 山东高速集团有限公司 | Method for quantitatively evaluating pavement hidden diseases based on three-dimensional ground penetrating radar |
| CN117518281B (en) * | 2023-12-29 | 2024-06-18 | 山东高速集团有限公司 | Method for quantitatively evaluating pavement hidden diseases based on three-dimensional ground penetrating radar |
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