CN112307538B - Method and device for determining development stage of rut of asphalt pavement - Google Patents
Method and device for determining development stage of rut of asphalt pavement Download PDFInfo
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- 238000000034 method Methods 0.000 title claims abstract description 54
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Abstract
The invention provides a method for determining the development stage of rutting on an asphalt pavement, which comprises the following steps: collecting rut depth detection data and pavement attribute information of a pavement; dividing road segments according to the road surface attribute information to obtain divided road segments, wherein the lengths of the divided road segments are consistent; acquiring the track growth rate of the divided road sections; and establishing a relation model of the track growth rate and the track depth, and obtaining a first inflection point and a second inflection point of the track according to the relation model and the road section mileage corresponding to the track depth. The invention starts from the measured pavement track depth detection data for years, searches the boundary points of the three stages of development of the asphalt pavement track from a large amount of data, and has a larger reference value for maintenance decision. The invention simply and intuitively displays the demarcation points of the three stages of development of the ruts of the asphalt pavement in the form of a box diagram based on the measured rut depth detection data of the pavement for years, and has great significance for judging maintenance opportunity and making maintenance decisions. Is convenient for popularization and application in the field of transportation discipline.
Description
Technical Field
The invention relates to the technical field of highway maintenance and management, in particular to a method and a device for determining a rut development stage of an asphalt pavement.
Background
Rutting is one of the main diseases of asphalt pavement and is an important cause of asphalt pavement damage. Rutting refers to permanent deformation of a structural layer of an asphalt pavement under repeated actions of high temperature and traffic load. The existence of ruts reduces the road surface flatness and affects the travelling comfort; the drainage of the road surface is not smooth in rainy days, so that water is accumulated in the ruts, and the safety of high-speed driving is affected; meanwhile, the pavement structure layer is thinned, the overall strength of the surface layer and the pavement structure is weakened, and other diseases are induced.
The rut formation process can be divided into three stages. Rutting in the initial stage is formed by accumulation of permanent deformation generated by compaction of asphalt mixture; this is followed by an equal volume displacement of the mix, hence the term shear flow deformation, and the asphalt pavement permanent deformation consists mainly of this permanent deformation; when the number of times of the vehicle load reaches a certain number, the pavement structure at the rut slot is extremely easy to damage or even crack and damage, and finally the pavement deformation is rapidly increased, which corresponds to the damage period. Estimating the demarcation points of the three stages of rut development of different types of asphalt pavements is helpful for decision makers to determine the optimal maintenance time, and huge maintenance expenditure caused by the rut entering the damage stage is avoided.
Common methods for determining the three stages of asphalt pavement rut development include dynamic creep test, hamburg rut test and the like, but the method still has no guidance significance in engineering application due to the large difference between the indoor test conditions and the environmental conditions born by the actual pavement.
Disclosure of Invention
Aiming at the defects of the prior art, the invention aims to provide a method for determining the development stage of the rut of the asphalt pavement.
The technical scheme of the invention is summarized as follows:
in one aspect, the invention provides a method for determining the development stage of rutting on an asphalt pavement, comprising the following steps:
collecting rut depth detection data and pavement attribute information of a pavement;
dividing road sections according to the road surface attribute information to obtain divided road sections, wherein the lengths of the divided road sections are consistent;
acquiring the track growth rate of the divided road sections;
establishing a relation model of the track growth rate and the track depth, and obtaining a first inflection point and a second inflection point of the track according to the relation model and the road section mileage corresponding to the track depth; the first inflection point characterizes a stable development phase of the rut and the second inflection point characterizes a breaking phase of the rut.
Further, the dividing the road segments according to the road surface attribute information includes:
road sections with the same road surface attribute information are divided by adopting a layer-by-layer grading method.
Further, road segments are divided according to the road surface attribute information, and the divided road segments are obtained, and then the road segments comprise:
determining classification indexes of road surface structure types, selecting a base layer type, an upper layer type and a modified asphalt layer thickness aiming at a semi-rigid base layer asphalt road surface, and classifying road sections with the same road surface attribute information by adopting a layer-by-layer classification method.
Further, the establishing the relationship model of the rut growth rate and rut depth comprises:
and establishing a box diagram model of the track growth rate and the track depth, and adding the road section mileage corresponding to the track depth.
Further, the road surface attribute information includes at least one of route geometry information, road surface structural material information, maintenance information, traffic load data.
Further, the route geometry information includes at least one of direction information, lane information, road and bridge characteristic information, road surface area information.
Further, the pavement structure material information includes at least one of modified asphalt layer thickness, pavement layer thickness, upper pavement layer thickness, middle pavement layer thickness, lower pavement layer thickness, upper pavement layer type, middle pavement layer type, lower pavement layer thickness, base layer type.
Further, the curing information comprises at least one of curing time, curing measure service time, curing technology, curing material and curing additive type.
Further, the traffic load data includes at least one of traffic class, axle load spectrum information, and passenger-to-cargo ratio.
Correspondingly, the invention also provides a device for determining the development stage of the rut of the asphalt pavement, which comprises the following steps:
the collection module is used for collecting rut depth detection data and road surface attribute information of the road surface;
the dividing module is used for dividing road sections according to the road surface attribute information to obtain divided road sections, and the lengths of the divided road sections are consistent;
the first acquisition module is used for acquiring the track growth rate of the divided road sections;
the inflection point acquisition module is used for establishing a relation model of the track growth rate and the track depth, and acquiring a first inflection point and a second inflection point of the track according to the relation model and the road section mileage corresponding to the track depth; the first inflection point characterizes a stable development phase of the rut and the second inflection point characterizes a breaking phase of the rut.
Compared with the prior art, the invention has the beneficial effects that:
the invention provides a method for determining the development stage of an asphalt pavement track, which starts from measured pavement track depth detection data for years and searches for a demarcation point of the development stage of the asphalt pavement track from a large amount of data, and has a larger reference value for maintenance decision.
The invention provides a method for determining the development stage of an asphalt pavement track, which is based on measured pavement track depth detection data for years, and simply and intuitively displays the demarcation points of the three stages of asphalt pavement track development in the form of a box diagram, thereby having great significance for judging maintenance time and making maintenance decisions. Is convenient for popularization and application in the field of transportation discipline.
The foregoing description is only an overview of the present invention, and is intended to provide a better understanding of the present invention, as it is embodied in the following description, with reference to the preferred embodiments of the present invention and the accompanying drawings. Specific embodiments of the present invention are given in detail by the following examples and the accompanying drawings.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this application, illustrate embodiments of the invention and together with the description serve to explain the invention and do not constitute a limitation on the invention. In the drawings:
FIG. 1 is a schematic flow chart of a method for determining the development stage of rutting on an asphalt pavement according to the present invention;
FIG. 2 is a schematic flow chart of a method of determining the development stage of rutting on an asphalt pavement according to the present invention;
FIG. 3 is a flow chart of the division of road segments according to the present invention;
FIG. 4 is a box diagram model of example 1 of the present invention;
FIG. 5 is a box diagram model of example 2 of the present invention;
FIG. 6 is a box diagram model of example 3 of the present invention;
FIG. 7 is a box diagram model of example 4 of the present invention;
fig. 8 is a box diagram model of example 5 of the present invention.
Detailed Description
The foregoing and other objects, features, aspects and advantages of the present invention will become more apparent to those skilled in the art from the following detailed description, which, taken in conjunction with the annexed drawings, discloses a device for practicing the invention. In the drawings, the shape and size may be exaggerated for clarity, and the same reference numerals will be used throughout the drawings to designate the same or similar components. In the following description, terms such as center, thickness, height, length, front, back, rear, left, right, top, bottom, upper, lower, etc. are based on the orientation or positional relationship shown in the drawings. In particular, "height" corresponds to the top-to-bottom dimension, "width" corresponds to the left-to-right dimension, and "depth" corresponds to the front-to-back dimension. These relative terms are for convenience of description and are not generally intended to require a particular orientation. Terms (e.g., "connected" and "attached") referring to an attachment, coupling, etc., refer to a relationship wherein these structures are directly or indirectly secured or attached to one another through intervening structures, as well as both movable or rigid attachments or relationships, unless expressly described otherwise.
The present invention will be further described with reference to the accompanying drawings and detailed description, wherein it is to be understood that, on the premise of no conflict, new embodiments may be formed by any combination of the embodiments or technical features described below. It will be understood that terms, such as "having," "including," and "comprising," as used herein, do not preclude the presence or addition of one or more other elements or groups thereof.
Three phases of rut development include:
the first stage: the compaction process of the stage is started. Before being roll-formed, the asphalt mixture is a loose mixture of asphalt, coarse and fine aggregate, and air. In the high-temperature rolling process, mucilage consisting of asphalt and mineral powder and semi-fluid asphalt are extruded into a mineral gap, and meanwhile, coarse and fine aggregates are rolled to be arranged to form a structure with a certain framework. In the initial operating state after construction, the automobile wheel load will continue to have the compacting function, so the compacting process will continue to develop.
And a second stage: and (3) flowing the asphalt mixture. At high temperatures, the asphalt mixture assumes a semi-solid state that is predominantly tacky. The excessive load action can lead asphalt and asphalt cement to generate viscous flow, thereby destabilizing the compact framework structure of the asphalt mixture. Asphalt and asphalt cement not only partially fill the gaps of the mixture, but also flow freely along with the asphalt mixture under the action of load, so that the asphalt mixture under the action of load is severely deformed.
And a third stage: rearranging of mineral aggregates and shearing damage process of mineral aggregates. Because asphalt and asphalt cement flow under the load action, the skeleton structure formed by coarse and fine aggregates in the semi-solid asphalt mixture gradually bears most of the load, and mineral aggregate particles slide along the contact surface between the mineral aggregates under the dual actions of the load and asphalt lubrication, so that the asphalt and asphalt cement flow to the enrichment area and finally flow to the free surface of the asphalt mixture.
Therefore, three stages of rut development are accurately obtained, and the method has great significance for judging the road maintenance opportunity and making maintenance decisions.
Example 1:
as shown in fig. 1-2, a method for determining the development stage of a rut on an asphalt pavement according to the present invention comprises:
s10, collecting rut depth detection data and pavement attribute information of the pavement.
The road surface attribute information includes at least one of route geometry information, road surface structural material information, maintenance information, traffic load data.
The route geometry information includes at least one of direction information, lane information, road and bridge feature information, and road surface area information.
The pavement structure material information includes at least one of modified asphalt layer thickness, pavement layer thickness, upper pavement layer thickness, middle pavement layer thickness, lower pavement layer thickness, upper pavement layer type, middle pavement layer type, lower pavement layer thickness, base layer thickness, and base layer type.
The curing information includes at least one of curing time, curing measure service time, curing technique, curing material and curing additive type.
The traffic load data includes at least one of traffic class, axle load spectrum information, and passenger-to-cargo ratio.
Specific road surface attribute information is shown in table 1:
TABLE 1
Preferably, the rut depth detection data of the road surface comprises rut depth, detection time corresponding to rut depth and road section mileage corresponding to rut depth.
And S20, dividing the road sections according to the road surface attribute information to obtain the divided road sections, wherein the lengths of the divided road sections are consistent.
The step S20 specifically includes: and dividing road sections with the same road surface attribute information by adopting a layer-by-layer grading method to obtain divided road sections, wherein the lengths of the divided road sections are consistent.
The common segmentation elements such as routes, directions, lanes, road and bridge characteristics, road structures, traffic sections, maintenance histories and the like are considered, the road segments are initially divided, and road segments with more than 100m are further equidistantly divided at intervals of 100m to obtain divided road segments, and the lengths of the divided road segments are consistent. The specific road segment division flow is shown in fig. 3.
The step S20 is followed by:
s21, determining classification indexes of road surface structure types, and classifying the road sections after division by adopting a layer-by-layer classification method;
preferably, aiming at the semi-rigid base asphalt pavement, the base layer type, the upper layer type and the modified asphalt layer thickness are selected, the classified road sections with the same pavement attribute information are classified by adopting a layer-by-layer classification method, and the classified road sections with the same type are numbered.
The road section classification in the present embodiment refers to table 2.
TABLE 2
S30, obtaining the track growth rate of the road sections after the same class division.
Specifically, the track growth rate is the ratio of the track depth difference to the detection time interval.
The ratio of the difference in track depth to the detection time interval of two years before and after is defined as the track growth rate, and the unit is mm/year.
S40, establishing a relation model of the track growth rate and the track depth, and obtaining a first inflection point and a second inflection point of the track according to the relation model and the road section mileage corresponding to the track depth; the first inflection point characterizes a stable development phase of the rut and the second inflection point characterizes a breaking phase of the rut.
Preferably, modeling the relationship between the rut growth rate and rut depth comprises:
and establishing a box diagram model of the track growth rate and the track depth, and adding the mileage of the road section corresponding to the track depth.
Obtaining a first inflection point and a second inflection point of the rut in the box diagram model according to the relation model and the road section mileage corresponding to the rut depth; the first inflection point characterizes a stable development phase of the rut and the second inflection point characterizes a breaking phase of the rut.
The stable development stage of the pavement ruts is a better opportunity for pavement reinforcement, and the damage stage of the ruts represents that the pavement has entered the damage stage, so that the pavement ruts have great significance for maintenance opportunity judgment and maintenance decision.
In example 1, for a semi-rigid base asphalt pavement, an SMA-13 upper layer, a cement stabilized macadam base, and a 5-12cm modified asphalt layer were selected as classification indexes, and the divided road segments having the same pavement attribute information were classified by a layer-by-layer classification method.
The box diagram model obtained by the method is shown in fig. 4, and is a box diagram of the relation between the rut development rate and the rut depth of a 1 road section of an SMA-13 upper layer, a cement stabilized macadam base layer and a 5-12cm modified asphalt layer under heavy traffic, and it can be seen that the first inflection point is located about 5mm, and the second inflection point is possibly located about 13mm, which means that the rut enters a stable development stage at 5mm and possibly enters a destruction stage at 13mm under the condition, and further longer observation and more data are needed to further determine the position of the second inflection point.
In example 2, for a semi-rigid base asphalt pavement, an AK-13 upper layer, a cement stabilized macadam base, and a 5-12cm modified asphalt layer were selected as classification indexes, and the divided road segments having the same pavement attribute information were classified by a layer-by-layer classification method.
The box diagram model obtained by the method is shown in fig. 5, and is a box diagram of the relationship between the rut development rate and the rut depth of a 2-road section of an AK-13 upper layer, a cement stabilized macadam base layer and a 5-12cm modified asphalt layer under heavy traffic, and two inflection points can be seen to be respectively positioned at about 2mm and 15mm, which indicates that the rut enters a stable development stage at 2mm and enters a destruction stage at 15mm under the condition.
In example 3, for a semi-rigid base asphalt pavement, an AK-16 upper layer, a two-ash stabilized macadam base, and a 0-5cm modified asphalt layer were selected as classification indexes, and the classified road segments having the same pavement attribute information were classified by a layer-by-layer classification method.
The box diagram model obtained by the method is shown in fig. 6, and is a box diagram of the relationship between the track development rate and the track depth of a 3-road section of an AK-16 upper layer, a two-ash stabilized macadam base layer and a 0-5cm modified asphalt layer under extra heavy traffic, and the first inflection point is not obvious, and the second inflection point is located at about 18mm, so that the track enters a damage stage when the track is 18mm under the condition.
In example 4, for a semi-rigid base asphalt pavement, an AK-13 upper layer, a two-ash stabilized macadam base, and a 0-5cm modified asphalt layer were selected as classification indexes, and the classified road segments having the same pavement attribute information were classified by a layer-by-layer classification method.
The box diagram model obtained by the method is shown in figure 7, and is a box diagram of the relationship between the track development rate and the track depth of a 4-road section of an AK-13 upper layer, a two-ash stabilized macadam base layer and a 0-5cm modified asphalt layer under seed traffic, and two inflection points can be seen to be respectively positioned at about 7mm and 17mm, which shows that the track enters a stable development stage at 7mm and enters a destruction stage at 17mm under the condition.
In example 5, for a semi-rigid base asphalt pavement, an SMA-13 upper layer, a two-gray stabilized macadam base, and a 0-5cm modified asphalt layer were selected as classification indexes, and the classified road segments having the same pavement attribute information were classified by a layer-by-layer classification method.
The box diagram model obtained by the method is shown in fig. 8, and is a box diagram of the relation between the rut development rate and rut depth of a 5-road section of an SMA-13 upper layer, a two-ash stabilized macadam base layer and a 0-5cm modified asphalt layer under extra heavy traffic, and the first inflection point is not obvious, and the second inflection point is located at about 14mm, so that the rut enters a breaking stage when the rut is 14mm under the condition.
The invention provides a method for determining the development stage of an asphalt pavement track, which starts from measured pavement track depth detection data for years and searches for a demarcation point of the development stage of the asphalt pavement track from a large amount of data, and has a larger reference value for maintenance decision.
The invention provides a method for determining the development stage of an asphalt pavement track, which is based on measured pavement track depth detection data for years, and simply and intuitively displays the demarcation points of the three stages of asphalt pavement track development in the form of a box diagram, thereby having great significance for judging maintenance time and making maintenance decisions. Is convenient for popularization and application in the field of transportation discipline.
Although embodiments of the present invention have been disclosed above, it is not limited to the use of the description and embodiments, it is well suited to various fields of use for the invention, and further modifications may be readily apparent to those skilled in the art, and accordingly, the invention is not limited to the particular details without departing from the general concepts defined in the claims and the equivalents thereof.
Correspondingly, the invention also provides a device for determining the development stage of the rut of the asphalt pavement, which comprises the following steps:
the collection module is used for collecting rut depth detection data and road surface attribute information of the road surface;
the dividing module is used for dividing road sections according to the road surface attribute information to obtain divided road sections, and the lengths of the divided road sections are consistent;
the first acquisition module is used for acquiring the track growth rate of the divided road sections;
the inflection point acquisition module is used for establishing a relation model of the track growth rate and the track depth, and acquiring a first inflection point and a second inflection point of the track according to the relation model and the road section mileage corresponding to the track depth; the first inflection point characterizes a stable development phase of the rut and the second inflection point characterizes a breaking phase of the rut.
In addition, the invention also comprises a classification module which is used for determining the classification index of the road surface structure type and classifying the road sections after division by adopting a layer-by-layer classification method.
Furthermore, the device and method embodiments in the device embodiments are based on the same inventive concept, the execution of which refers to the above method. And are not cumbersome here.
The embodiment of the invention also provides a storage medium which comprises a memory and a processor, wherein at least one instruction and at least one section of program are stored in the memory, and the at least one instruction and the at least one section of program are loaded and executed by the processor to realize the method for determining the development stage of the rutting of the asphalt pavement, which is provided by the embodiment of the method.
It should be noted that: the sequence of the embodiments of the present invention is only for description, and does not represent the advantages and disadvantages of the embodiments. And the foregoing description has been directed to specific embodiments of this specification. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims can be performed in a different order than in the embodiments and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.
In this specification, each embodiment is described in a progressive manner, and identical and similar parts of each embodiment are all referred to each other, and each embodiment mainly describes differences from other embodiments. In particular, for the apparatus and electronic device embodiments, since they are substantially similar to the method embodiments, the description is relatively simple, and references to the parts of the description of the method embodiments are only required.
The foregoing description has fully disclosed specific embodiments of this invention. It should be noted that any modifications to the specific embodiments of the invention may be made by those skilled in the art without departing from the scope of the invention as defined in the appended claims. Accordingly, the scope of the claims of the present invention is not limited to the foregoing detailed description.
Claims (7)
1. A method of determining a rut development stage on an asphalt pavement, comprising:
collecting rut depth detection data and pavement attribute information of a pavement;
dividing road sections with the same road attribute information by adopting a layer-by-layer grading method according to the road attribute information to obtain divided road sections, wherein the divided road sections have the same length, the classification index of the road surface structure type is determined, and the divided road sections are classified by adopting the layer-by-layer grading method;
acquiring the track growth rate of the divided road sections;
establishing a relation model of the track growth rate and the track depth, wherein the relation model comprises the following steps: establishing a box diagram model of the track growth rate and the track depth, adding the road section mileage corresponding to the track depth, and obtaining a first inflection point and a second inflection point of the track according to the relation model and the road section mileage corresponding to the track depth; the first inflection point characterizes a stable development phase of the rut and the second inflection point characterizes a breaking phase of the rut.
2. The method of claim 1, wherein the pavement attribute information comprises at least one of route geometry information, pavement structure material information, maintenance information, or traffic load data.
3. The method of claim 2, wherein the route geometry information includes at least one of direction information, lane information, road and bridge characteristic information, or road area information.
4. The method of claim 2, wherein the pavement structural material information includes at least one of modified asphalt layer thickness, pavement layer thickness, upper pavement layer thickness, middle pavement layer thickness, lower pavement layer thickness, upper pavement layer type, middle pavement layer type, lower pavement layer thickness, base layer thickness, or base layer type.
5. The method of claim 2, wherein the maintenance information includes at least one of maintenance time, maintenance action time, maintenance technique, maintenance material, or maintenance additive type.
6. The method of claim 2, wherein the traffic load data comprises at least one of traffic class, axle load spectrum information, or passenger-to-cargo ratio.
7. A device for determining the development phase of a rut in an asphalt pavement, comprising:
the collection module is used for collecting rut depth detection data and road surface attribute information of the road surface;
the dividing module is used for dividing road sections with the same road surface attribute information by adopting a layer-by-layer grading method according to the road surface attribute information to obtain divided road sections, and the lengths of the divided road sections are consistent;
the classification module is used for determining classification indexes of road surface structure types and classifying the road sections after division by adopting a layer-by-layer classification method;
the first acquisition module is used for acquiring the track growth rate of the divided road sections;
the inflection point acquisition module is used for establishing a relation model of the track growth rate and the track depth, and comprises the steps of establishing a box diagram model of the track growth rate and the track depth, adding the road section mileage corresponding to the track depth, and acquiring a first inflection point and a second inflection point of the track according to the relation model and the road section mileage corresponding to the track depth; the first inflection point characterizes a stable development phase of the rut and the second inflection point characterizes a breaking phase of the rut.
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---|---|---|---|---|
US5780994A (en) * | 1997-03-21 | 1998-07-14 | Securaplane Technologies, L.L.C. | Detection of inflection point in secondary-battery charging process by matching voltage response to first derivative of battery's characteristic curve |
CN102135481A (en) * | 2011-01-10 | 2011-07-27 | 东南大学 | Method for testing rutting-resistant performance of mixture in bituminous pavement |
CN107761528A (en) * | 2017-11-14 | 2018-03-06 | 东南大学 | A kind of asphalt pavement rut forecasting procedure based on real time high temperature weather and the volume of traffic |
-
2020
- 2020-10-20 CN CN202011124195.2A patent/CN112307538B/en active Active
Patent Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US5780994A (en) * | 1997-03-21 | 1998-07-14 | Securaplane Technologies, L.L.C. | Detection of inflection point in secondary-battery charging process by matching voltage response to first derivative of battery's characteristic curve |
CN102135481A (en) * | 2011-01-10 | 2011-07-27 | 东南大学 | Method for testing rutting-resistant performance of mixture in bituminous pavement |
CN107761528A (en) * | 2017-11-14 | 2018-03-06 | 东南大学 | A kind of asphalt pavement rut forecasting procedure based on real time high temperature weather and the volume of traffic |
Non-Patent Citations (2)
Title |
---|
Comparison of the Hamburg, indirect tensile, and multi-sequenced repeated load tests for evaluation of HMA rutting resistance;Niya Dong等;Construction and Building Materials;第588-598页 * |
沥青路面车辙预估方法介绍;黄菲等;石油沥青;第19卷(第6期);正文第1-6页 * |
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Denomination of invention: A method and device for determining the stage of rutting development on asphalt pavement Granted publication date: 20240402 Pledgee: Nanjing Bank Co.,Ltd. Nanjing Financial City Branch Pledgor: NANJING ROAD KEEPER TECHNOLOGY Co.,Ltd. Registration number: Y2024980017961 |