CN111523825B - Multi-dimensional-based highway asphalt pavement long-term performance evaluation method - Google Patents
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Abstract
The invention discloses a multi-dimensional-based long-term performance evaluation method for an expressway asphalt pavement, which is used for performing long-term performance evaluation on the expressway asphalt pavement which is driven for more than 8 years, and the long-term performance of the pavement is detected and analyzed from a macroscopic view, namely from the first dimension, so as to obtain a comprehensive evaluation value PPC of the first dimension, and the long-term performance quality of the expressway is judged based on the comprehensive evaluation value PPC of the first dimension, and whether the long-term performance evaluation of the second dimension is performed or not is determined. And secondly, detecting and analyzing the pavement material performance to obtain a comprehensive evaluation value RMC of a second dimension. And finally, judging the long-term performance quality of the expressway asphalt pavement based on the comprehensive evaluation value RMC of the second dimension. From macroscopic to microscopic, the method can accurately evaluate the long-term performance of the highway asphalt pavement, can be used as an important basis for maintenance decision, and has good application prospect.
Description
Technical Field
The invention relates to the technical field of expressway detection, in particular to a multidimensional-based expressway asphalt pavement long-term performance evaluation method.
Background
With the rapid development of science and technology, the construction and maintenance demands of expressways between cities are larger. In order to ensure the safety and reliability of vehicle driving, it is critical to ensure good road conditions on the expressway. At present, the long-term performance evaluation of the expressway asphalt pavement is to perform multi-index detection on the expressway pavement which is in traffic for 8 years, so that each pavement index after traffic for 8 years is obtained, on the one hand, the long-term performance of the expressway network can be evaluated based on each detected pavement index data, and on the other hand, the method can be used as an important means of maintenance decision.
The existing method for evaluating the long-term performance of the expressway asphalt pavement simultaneously evaluates the long-term performance of the asphalt pavement from three aspects of road surface performance, material performance and structural performance indexes, and belongs to the same latitude. And the single index is adopted to judge the quality of the long-term performance of the asphalt pavement and the basis of maintenance decision. Therefore, there are the following disadvantages:
(1) The existing expressway asphalt pavement long-term performance evaluation method does not have hierarchical level and latitude evaluation, only evaluates according to the pavement PQI (pavement use performance index), and is time-consuming and labor-consuming in PQI detection and poor in economical efficiency;
(2) The decision index is single, or the decision index is not representative, and the long-term performance condition of the on-site asphalt pavement cannot be comprehensively or difficultly represented.
Therefore, how to overcome the above problems is a problem that needs to be solved at present.
Disclosure of Invention
The invention aims to solve the problems that the existing expressway asphalt pavement long-term performance evaluation method has ambiguous observation indexes, does not observe in grades and latitudes, and cannot accurately evaluate the pavement long-term performance. According to the multi-dimensional expressway asphalt pavement long-term performance evaluation method, firstly, the long-term performance of the pavement is detected and analyzed from the macroscopic view, namely, the pavement performance and the structural performance are detected and analyzed from the first dimension, the comprehensive evaluation value PPC of the first dimension is obtained, the long-term performance quality of the expressway asphalt pavement is judged based on the comprehensive evaluation value PPC of the first dimension, and whether the long-term performance evaluation of the second dimension is carried out is determined. And secondly, based on the first dimension evaluation result, performing second dimension evaluation, and performing pavement material performance detection analysis from the perspective of mininess, so as to obtain a comprehensive evaluation value RMC of the second dimension. And finally, judging the long-term performance of the expressway asphalt pavement based on the comprehensive evaluation value RMC of the second dimension. From macroscopic view to microscopic view, a multi-dimensional decision index system of the expressway asphalt pavement is established, and the multi-dimensional index is adopted for evaluation, so that on one hand, the long-term performance of the expressway asphalt pavement can be accurately evaluated, on the other hand, the system can be used as an important basis for maintenance decision, and has a good application prospect.
In order to achieve the above purpose, the technical scheme adopted by the invention is as follows:
a multi-dimension-based long-term performance evaluation method for highway asphalt pavement can evaluate the long-term performance of highway asphalt pavement which has been on bus for more than 8 years, comprising the following steps,
constructing a first dimension evaluation model for long-term performance evaluation of the expressway asphalt pavement, wherein the first dimension evaluation model is formed by detecting a sub-index running quality index RQI, an anti-skid performance index SRI, a pavement damage index PCI, a rutting depth index RDI and a pavement structural strength index PSSI, and calculating the sub-indexes through weights to obtain a first dimension evaluation index pavement performance status PPC;
constructing a second dimension evaluation model for long-term performance evaluation of the expressway asphalt pavement, wherein the second dimension evaluation model is formed by detecting a surface layer high-temperature performance index HTPM, a lower layer high-temperature performance index HTPL, an upper layer crack resistance index CRI and a base layer mechanical performance index MPI in the index, and calculating the index by weight to obtain a second dimension evaluation index pavement material condition RMC;
and (C) evaluating the long-term performance of the expressway asphalt pavement by combining the first dimension evaluation model and the second dimension evaluation model in sequence to obtain the evaluation grade of the long-term performance of the expressway asphalt pavement.
The long-term performance evaluation method of the expressway asphalt pavement based on the multiple dimensions comprises the following steps (A), wherein the running quality index RQI is calculated by a formula (1),
the IRI is an international flatness index, and the unit is m/km; a, a 0 For the first driving quality coefficient, 0.026 is adopted for the expressway and the primary road; a, a 1 For the second driving quality coefficient, 0.65 is adopted for the expressway and the primary highway;
the slip resistance index SRI is calculated by a formula (2),
SFC is a transverse force coefficient, SRImin is a calibration parameter, and 35 is adopted; a, a 2 28.6 is adopted for the first anti-skid performance parameter; a, a 3 As a second anti-slip performance parameter, adopting-0.015;
the pavement damage index PCI is calculated by a formula (3),
PCI＝100-a 4 DR a5 (3)
wherein DR is road surface breakage rate, and the unit is; a, a 4 15 is adopted for the pavement damage coefficient of the first asphalt pavement; a, a 5 For the second asphalt pavement breakage coefficient, 0.412 is adopted;
the rutting depth index RDI is calculated by the formula (4),
wherein RD is rut depth; RDa is a rut depth parameter, 10 is adopted; RDb is the rut depth parameter, 40 is adopted; a, a 6 Adopting 1 for the first rut depth model parameter; a, a 7 Adopting 3 for the second rut depth model parameter;
the pavement structural strength index PSSI is obtained through calculation of a formula (5),
wherein SSR is the road surface structural coefficient and is the road surface deflection standard value l R Representing deflection l with actual measurement deflection of road surface 0 Ratio of; a, a 9 15.71 is adopted as a first pavement structural strength model parameter; a, a 10 For the second road surface structural strength model parameter, -5.19 was used.
The method for evaluating the long-term performance of the expressway asphalt pavement based on the multiple dimensions comprises the following steps that step (A), the first dimension evaluation model is obtained by detecting a sub-index running quality index RQI, an anti-skid performance index SRI, a pavement damage index PCI, a rutting depth index RDI and a pavement structural strength index PSSI, calculating the sub-index through weights to obtain a first dimension evaluation index pavement performance status PPC, and calculating through a formula (6).
PPC＝w PCI PCI+w RQI RQI+w RDI RDI+w SRI SRI+w PSSI PSSI (6)
Wherein W is PCI The weight of the pavement damage index is 0.35 for the expressway and the primary highway; w (W) RQI For the weight of the running quality index, 0.3 is adopted for the expressway and the primary highway; w (W) RDI For rut depth index weight, 0.15 is adopted for expressways and primary roads; w (W) SRI For the anti-skid performance index weight, 0.1 is adopted for the expressway and the primary highway; w (W) PSSI For the structural strength weight of the pavement, 0.1 is adopted for the expressway and the primary highway.
According to the multi-dimensional-based highway asphalt long-term performance evaluation method, the pavement damage index weight W PCI Weight W of running quality index RQI Rutting depth index weight W RDI Index weight of anti-slip property W SRI Weight W of pavement structural strength PSSI The determination process of (2) is as follows:
(A1) Constructing a first dimension evaluation index judgment matrix P by using original data obtained by questionnaire survey of experts, wherein the first dimension evaluation index judgment matrix P is a result of comparing indexes in pairs, and for an index system with the 5 indexes, the matrix form is as follows:
(A2) Calculating the weight value of each index by a sum method after the first dimension evaluation index judgment matrix P is obtained;
(A3) Adding each column of the first dimension evaluation index judgment matrix P, and normalizing each element to obtain P ij '，
(A4) P for each row ij ' summing to obtain p1 ij '，
(A5) P1 is to ij ' adding columns forming a new matrix, normalizing each element to obtain a weight value of each index,
the w is 1 Is the pavement damage index weight W PCI 、w 2 Weight W is the running quality index RQI 、w 3 For rutting depth index weight W RDI 、w 4 Is the anti-skid performance index weight W SRI 、w 5 Weight W for structural strength of pavement PSSI 。
In the method for evaluating the long-term performance of the expressway asphalt pavement based on the multiple dimensions, in the step (B), the middle-surface high-temperature performance index HTPM is judged through a middle-surface hamburger rutting test, and the value of the middle-surface hamburger rutting is smaller than 1.4mm and is classified as 90 minutes with excellent grade; 80 points in the grade between 1.4 and 2.4 mm; a grade difference of more than 2.4mm is 60 minutes;
the lower layer high temperature performance index HTPL is judged according to a lower layer hamburger rut test, and the lower layer hamburger rut value is less than 4.1mm and is classified as class-top 90; 80 points in the grade between 4.1 and 7.3 mm; a grade difference of more than 7.3mm is 60 minutes;
the upper layer crack resistance index CRI is judged by an upper layer fracture energy test, and when the value of the upper layer fracture energy is more than or equal to 700J/m < 2 >, the upper layer fracture energy is rated as the grade of 90 minutes; 80 points in the grade between 300 and 700J/m 2; 300J/m2 or less is 60 minutes of grade difference;
the base layer mechanical property index MPI is judged according to an unconfined compressive strength test, and when the unconfined compressive strength is greater than 7.3Mpa, the grade is superior to 90 minutes; 80 minutes in the grade between 4.6 and 7.3 Mpa; less than 4.6Mpa is 60 minutes.
The method for evaluating the long-term performance of the expressway asphalt pavement based on multiple dimensions comprises the step (B), wherein the second dimension evaluation model is obtained by detecting the surface layer high-temperature performance index HTPM, the lower layer high-temperature performance index HTPL, the upper layer crack resistance index CRI and the base layer mechanical performance index MPI in the index, calculating the index by weight to obtain a second dimension evaluation index pavement material condition RMC, calculating by a formula (7),
RMC＝w HTPM HTPM+w HTPL HTPL+w CRI CRI+w MPI MPI (7)
wherein W is HTPM The high-temperature performance index weight of the middle surface layer is 0.3 for the expressway and the primary highway; w (W) HTPL For the index weight of the high-temperature performance of the lower layer, 0.25 is adopted for the expressway and the primary highway; w (W) CRI The crack resistance index weight of the upper layer is 0.15 for the expressway and the primary highway; w (W) MPI For the basic layer mechanical property index weight, 0.3 is adopted for the expressway and the primary road.
The method for evaluating the long-term performance of the expressway asphalt based on multiple dimensions comprises the step (B), wherein the index weight W of the high-temperature performance of the middle surface layer HTPM Index weight W of high temperature performance of lower layer HTPL Weight of upper layer crack index W CRI Mechanical properties of the base layerNumber weight W MPI The determination process of (2) is as follows:
(B1) Constructing a second dimension evaluation index judgment matrix Q by using the original data obtained by questionnaire survey of experts, wherein the first dimension evaluation index judgment matrix Q is the result of comparing indexes in pairs, and for an index system with the 4 indexes, the matrix form is as follows:
(B2) Calculating the weight value of each index by a sum method after obtaining a second dimension evaluation index judgment matrix Q;
(B3) Adding each column of the second dimension evaluation index judgment matrix Q, and normalizing each element to obtain Q ij '，
(B4) Q for each row ij ' summing to get q1 ij '，
(B5) Will q1 ij ' adding columns forming a new matrix, normalizing each element to obtain a weight value of each index,
the w1 1 Index weight W for medium surface layer high temperature performance HTPM ，w1 2 Index weight W for high temperature performance of the underlying layer HTPL 、w1 3 Weight W for the crack resistance index of the upper layer CRI 、w1 4 Is the index weight W of the mechanical property of the base layer MPI 。
The method for evaluating the long-term performance of the expressway asphalt pavement based on the multiple dimensions comprises the following steps of (C) evaluating the long-term performance of the expressway asphalt pavement by combining a first dimension evaluation model and a second dimension evaluation model in sequence,
(C1) Primarily evaluating the expressway through a first dimension evaluation model, wherein if the pavement performance status PPC is more than or equal to 90 minutes, the expressway is excellent; if the pavement performance status PPC is less than 90 minutes and more than or equal to 80 minutes, executing (C2), and performing secondary evaluation through the pavement performance status PPC; if the pavement performance PPC is less than 80 minutes and more than or equal to 70 minutes, the expressway is secondary; if the pavement performance status PPC is less than 70 minutes, the expressway is poor;
(C2) Performing secondary evaluation through the pavement performance status PPC, and if the pavement material status RMC is more than or equal to 90 minutes, obtaining a good expressway; if the pavement performance PPC is less than 90 minutes and more than or equal to 80 minutes, the expressway is the middle expressway; if the pavement performance PPC is less than 80 minutes and more than or equal to 70 minutes, the expressway is secondary; if the road surface performance status PPC is less than 70 minutes, the expressway is poor.
The beneficial effects of the invention are as follows: the multi-dimensional expressway asphalt pavement long-term performance evaluation method provided by the invention is used for evaluating the long-term performance of the expressway asphalt pavement which is on the bus for more than 8 years. Firstly, from the macroscopic view, namely from the first dimension, the long-term performance of the pavement is detected and analyzed, the comprehensive evaluation value PPC of the first dimension is obtained, the long-term performance quality of the expressway asphalt pavement is judged based on the comprehensive evaluation value PPC of the first dimension, and whether the long-term performance evaluation of the second dimension is carried out is determined. And secondly, based on the first dimension evaluation result, performing second dimension evaluation, and performing pavement material performance detection analysis from the perspective of mininess, so as to obtain a comprehensive evaluation value RMC of the second dimension. And finally, judging the long-term performance quality of the expressway asphalt pavement based on the comprehensive evaluation value RMC of the second dimension. From macroscopic view to microscopic view, a multi-dimensional decision index system of the expressway asphalt pavement is established, and the multi-dimensional index is adopted for evaluation, so that on one hand, the long-term performance of the expressway asphalt pavement can be accurately evaluated, on the other hand, the system can be used as an important basis for maintenance decision, and has a good application prospect.
Drawings
FIG. 1 is a flow chart of the multi-dimensional highway asphalt pavement long-term performance evaluation method of the present invention.
Detailed Description
The invention will be further described with reference to the drawings.
As shown in fig. 1, the invention discloses a multi-dimensional expressway asphalt pavement long-term performance evaluation method, which is used for evaluating the long-term performance of expressway asphalt pavement which is on vehicles for more than 8 years. Firstly, from the macroscopic view, namely from the first dimension, the long-term performance of the pavement is detected and analyzed, the comprehensive evaluation value PPC of the first dimension is obtained, the long-term performance quality of the expressway asphalt pavement is judged based on the comprehensive evaluation value PPC of the first dimension, and whether the long-term performance evaluation of the second dimension is carried out is determined. And secondly, based on the first dimension evaluation result, performing second dimension evaluation, and performing pavement material performance detection analysis from the perspective of mininess, so as to obtain a comprehensive evaluation value RMC of the second dimension. And finally, judging the long-term performance of the expressway asphalt pavement based on the comprehensive evaluation value RMC of the second dimension. From macroscopic to microscopic angles, a multi-dimensional decision index system of the expressway asphalt pavement is established, and the multi-dimensional index is adopted for evaluation, so that on one hand, the long-term performance of the expressway asphalt pavement can be accurately evaluated, and on the other hand, the system can be used as an important basis for maintenance decision, and comprises the following steps,
step (A), constructing a first dimension evaluation model for long-term performance evaluation of the expressway asphalt pavement, wherein the first dimension evaluation model is obtained by detecting a sub-index running quality index RQI, an anti-skid performance index SRI, a pavement damage index PCI, a rutting depth index RDI and a pavement structural strength index PSSI, calculating the sub-indexes through weights to obtain a first dimension evaluation index pavement performance status PPC, calculating the running quality index RQI through a formula (1),
the IRI is an international flatness index, and the unit is m/km; a, a 0 For the first driving quality coefficient, 0.026 is adopted for the expressway and the primary road; a, a 1 For the second driving quality coefficient, 0.65 is adopted for the expressway and the primary highway;
the slip resistance index SRI is calculated by a formula (2),
SFC is a transverse force coefficient, SRImin is a calibration parameter, and 35 is adopted; a, a 2 28.6 is adopted for the first anti-skid performance parameter; a, a 3 As a second anti-slip performance parameter, adopting-0.015;
the pavement damage index PCI is calculated by a formula (3),
PCI＝100-a 4 DR a5 (3)
wherein DR is road surface breakage rate, and the unit is; a, a 4 15 is adopted for the pavement damage coefficient of the first asphalt pavement; a, a 5 For the second asphalt pavement breakage coefficient, 0.412 is adopted;
the rutting depth index RDI is calculated by the formula (4),
wherein RD is rut depth; RDa is a rut depth parameter, 10 is adopted; RDb is the rut depth parameter, 40 is adopted; a, a 6 Adopting 1 for the first rut depth model parameter; a, a 7 Adopting 3 for the second rut depth model parameter;
the pavement structural strength index PSSI is obtained through calculation of a formula (5),
wherein SSR is the road surface structural coefficient and is the road surface deflection standard value l R Representing deflection l with actual measurement deflection of road surface 0 Ratio of; a, a 9 15.71 is adopted as a first pavement structural strength model parameter; a, a 10 For the second road surface structural strength model parameter, -5.19 was used.
The first dimension evaluation model is obtained by detecting a sub-index running quality index RQI, an anti-skid performance index SRI, a pavement damage index PCI, a rutting depth index RDI and a pavement structural strength index PSSI, calculating the sub-indexes through weights to obtain a first dimension evaluation index pavement performance status PPC, calculating through a formula (6),
PPC＝w PCI PCI+w RQI RQI+w RDI RDI+w SRI SRI+w PSSI PSSI (6)
the pavement damage index weight W PCI Weight W of running quality index RQI Rutting depth index weight W RDI Index weight of anti-slip property W SRI Weight W of pavement structural strength PSSI The determination process of (2) is as follows:
(A1) Constructing a first dimension evaluation index judgment matrix P by using original data obtained by questionnaire survey of experts, wherein the first dimension evaluation index judgment matrix P is a result of comparing indexes in pairs, and for an index system with the 5 indexes, the matrix form is as follows:
(A2) Calculating the weight value of each index by a sum method after the first dimension evaluation index judgment matrix P is obtained;
(A3) Adding each column of the first dimension evaluation index judgment matrix P, and normalizing each element to obtain P ij '，
(A4) P for each row ij ' summing to obtain p1 ij '，
(A5) P1 is to ij ' adding columns forming a new matrix, normalizing each element to obtain a weight value of each index,
the w is 1 Is the pavement damage index weight W PCI 、w 2 Weight W is the running quality index RQI 、w 3 For rutting depth index weight W RDI 、w 4 Is the anti-skid performance index weight W SRI 、w 5 Weight W for structural strength of pavement PSSI ，
The optimal value is calculated according to the index weight of the first dimension evaluation, and is as follows, W PCI The weight of the pavement damage index is 0.35 for the expressway and the primary highway; w (W) RQI For the weight of the running quality index, 0.3 is adopted for the expressway and the primary highway; w (W) RDI For rut depth index weight, 0.15 is adopted for expressways and primary roads; w (W) SRI For the anti-skid performance index weight, 0.1 is adopted for the expressway and the primary highway; w (W) PSSI For the structural strength weight of the pavement, 0.1 is adopted for the expressway and the primary highway, the accuracy of the score of the pavement performance status PPC can be improved through the calculation of the first dimension evaluation index weight, as shown in the table 1,
TABLE 1 index weights for the individual sub-items of the PPC of the first dimension evaluation model
Constructing a second dimension evaluation model for long-term performance evaluation of the expressway asphalt pavement, wherein the second dimension evaluation model is formed by detecting a surface layer high-temperature performance index HTPM, a lower layer high-temperature performance index HTPL, an upper layer crack resistance index CRI and a base layer mechanical performance index MPI in the index, and calculating the index by weight to obtain a second dimension evaluation index pavement material condition RMC;
the middle surface layer high temperature performance index HTPM is judged according to a middle surface layer hamburger rut test, and the value of the middle surface layer hamburger rut is smaller than 1.4mm and is classified as high grade 90; 80 points in the grade between 1.4 and 2.4 mm; a grade difference of more than 2.4mm is 60 minutes;
the lower layer high temperature performance index HTPL is judged according to a lower layer hamburger rut test, and the lower layer hamburger rut value is less than 4.1mm and is classified as class-top 90; 80 points in the grade between 4.1 and 7.3 mm; a grade difference of more than 7.3mm is 60 minutes;
the upper layer crack resistance index CRI is determined by an upper layer fracture energy test, and when the upper layer fracture energy value is more than or equal to 700J/m 2 The grade is preferably 90; at 300-700J/m 2 The middle is 80 points in the grade; less than or equal to 300J/m 2 The grade difference is 60 minutes;
the base layer mechanical property index MPI is judged according to an unconfined compressive strength test, and when the unconfined compressive strength is greater than 7.3Mpa, the grade is superior to 90 minutes; 80 minutes in the grade between 4.6 and 7.3 Mpa; less than 4.6Mpa is 60 minutes.
The above-mentioned index grading and index values are shown in tables 2 and 3.
TABLE 2 grading of the indices of the second dimension evaluation model
Table 3 second dimension evaluation model each index takes value
| Assessment index | Grade 1 (you) | Grade 2 (Medium) | Grade 3 (Difference) |
| HTPM | 90 | 80 | 60 |
| HTPL | 90 | 80 | 60 |
| CRI | 90 | 80 | 60 |
| MPI | 90 | 80 | 60 |
And the second dimension evaluation index is calculated by weight to obtain the road surface material condition RMC, calculated by a formula (7),
RMC＝w HTPM HTPM+w HTPL HTPL+w CRI CRI+w MPI MPI (7)
the index weight W of the high-temperature performance of the middle surface layer HTPM Index weight W of high temperature performance of lower layer HTPL Weight of upper layer crack index W CRI Index weight W of mechanical property of base layer MPI The determination process of (2) is as follows:
(B1) Constructing a second dimension evaluation index judgment matrix Q by using the original data obtained by questionnaire survey of experts, wherein the first dimension evaluation index judgment matrix Q is the result of comparing indexes in pairs, and for an index system with the 4 indexes, the matrix form is as follows:
(B2) Calculating the weight value of each index by a sum method after obtaining a second dimension evaluation index judgment matrix Q;
(B3) Adding each column of the second dimension evaluation index judgment matrix Q, and normalizing each element to obtain Q ij '，
(B4) Q for each row ij ' summing to get q1 ij '，
(B5) Will q1 ij ' adding columns forming a new matrix, normalizing each element to obtain a weight value of each index,
the w1 1 Index weight W for medium surface layer high temperature performance HTPM ，w1 2 Index weight W for high temperature performance of the underlying layer HTPL 、w1 3 Weight W for the crack resistance index of the upper layer CRI 、w1 4 Is the index weight W of the mechanical property of the base layer MPI ，
According to the calculation of the second dimension evaluation index weight, the optimal value is as follows: w (W) HTPM The high-temperature performance index weight of the middle surface layer is 0.3 for the expressway and the primary highway; w (W) HTPL For the index weight of the high-temperature performance of the lower layer, 0.25 is adopted for the expressway and the primary highway; w (W) CRI The crack resistance index weight of the upper layer is 0.15 for the expressway and the primary highway; w (W) MPI For the basic mechanical property index weight, 0.3 is adopted for the expressway and the primary highway, the accuracy of the score of the road surface material condition RMC can be improved through the calculation of the second dimension evaluation index weight, as shown in the table 4,
TABLE 4 index weights for each sub-term of the second dimension evaluation model RMC
Step (C), the long-term performance of the expressway asphalt pavement is evaluated by combining the first dimension evaluation model and the second dimension evaluation model in sequence to obtain the long-term performance evaluation grade of the expressway asphalt pavement,
(C1) Primarily evaluating the long-term performance of the expressway asphalt pavement through a first dimension evaluation model, wherein if the pavement performance status PPC is more than or equal to 90 minutes, the long-term performance of the expressway asphalt pavement is excellent; if the pavement performance status PPC is less than 90 minutes and more than or equal to 80 minutes, executing (C2), and performing secondary evaluation through the pavement performance status PPC; if the pavement performance status PPC is less than 80 minutes and more than or equal to 70 minutes, the long-term performance of the expressway asphalt pavement is secondary; if the pavement performance status PPC is less than 70 minutes, the long-term performance of the expressway asphalt pavement is poor, as shown in table 5; if the long-term performance of the expressway asphalt pavement is excellent, no treatment is needed; if the expressway is secondary or poor, the expressway needs to be comprehensively processed according to the sub-term indexes, for example, according to the PCI indexes, the measures are determined to be adopted for processing.
Table 5 long-term performance grading of pavement with first dimension evaluation model
| Assessment index | ≥90 | Less than 90 and not less than 80 | Less than 80 and more than or equal to 70 | ＜70 |
| PPC | Excellent (excellent) | Performing a second dimension evaluation | Secondary times | Difference of difference |
(C2) Performing secondary evaluation through the pavement performance status PPC, and if the pavement material status RMC is more than or equal to 90 minutes, obtaining good long-term performance of the expressway asphalt pavement; if the pavement performance status PPC is less than 90 minutes and more than or equal to 80 minutes, the long-term performance of the expressway asphalt pavement is medium; if the pavement performance status PPC is less than 80 minutes and more than or equal to 70 minutes, the long-term performance of the expressway asphalt pavement is secondary; if the pavement performance status PPC is less than 70 minutes, the long-term performance of the asphalt pavement of the expressway is poor, if the pavement material status index (RMC) of the expressway is rated as good and medium, no treatment is needed, and if the pavement is rated as inferior and poor, the treatment is needed to be comprehensively carried out according to the index of the sub-term, for example, according to the CRI index of the crack resistance index of the upper layer, and what measure to take for the treatment is decided, as shown in table 6.
Table 6 long-term performance grading of pavement with second dimension evaluation model
| Assessment index | ≥90 | Less than 90 and not less than 80 | Less than 80 and more than or equal to 70 | ＜70 |
| RMC | Good grade (good) | In (a) | Secondary times | Difference of difference |
According to the multi-dimensional highway asphalt pavement long-term performance evaluation method of the invention, a specific embodiment is described below.
The town expressway starts from the dan hub, crosses the Nanjing to Tai cang expressway in the gold altar city in the south, and passes through the Liyang to Guangde expressway of Liyang Hangzhou expressway and planning construction, so that an important component of a 'five-in-one' line is planned for the Jiangsu province expressway, the whole length of the highway is 65.66 km, and the project is built into a train in 2007, and has been in the train for 12 years until now. The highway pavement is subjected to long-term performance detection and evaluation at the 10 th year of traffic,
TABLE 7 Zhen Li Highway Structure type
(1) A first dimension evaluation model evaluation is performed,
based on the detection results of the indexes of the first dimension, the scores of the indexes of the first dimension are obtained, as shown in table 8,
TABLE 8 first dimension detection results
| Index (I) | RQI | SRI | PCI | RDI | PSSI |
| Results | 91 | 74 | 95 | 90 | 76 |
PPC＝91*0.3+74*0.1+95*0.35+90*0.15+76*0.1＝89.1
The PPC result is 89.1, and according to the table 2, the second dimension detection evaluation is carried out;
(2) Performing evaluation of a second dimension evaluation model, obtaining the scores of the second dimension indexes according to the detection results of the second dimension indexes, as shown in table 9,
TABLE 9 second dimension test results
| Index (I) | HTPM | HTPL | CRI | MPI |
| Results | 80 | 80 | 80 | 80 |
RMC＝80*0.3+80*0.25+80*0.15+80*0.3＝80
The RMC result was 80, and the town-li highway asphalt pavement long-term performance evaluation grade was medium according to table 6.
Note that: the index weights of the sub-indexes of the pavement performance condition index (PPC) are selected by referring to JTG-5210-2018 Highway technical condition assessment Standard.
In summary, the multi-dimensional expressway asphalt pavement long-term performance evaluation method provided by the invention is used for evaluating the long-term performance of the expressway asphalt pavement which is on the bus for more than 8 years. The method comprises the steps of firstly detecting and analyzing long-term performance of a pavement from a macroscopic view, namely from two aspects of road surface performance and structural performance in a first dimension, obtaining a comprehensive evaluation value PPC in the first dimension, judging the long-term performance of the expressway based on the comprehensive evaluation value PPC in the first dimension, and determining whether to evaluate the long-term performance in a second dimension. And secondly, based on the first dimension evaluation result, performing second dimension evaluation, and performing pavement material performance detection analysis from the perspective of mininess, so as to obtain a comprehensive evaluation value RMC of the second dimension. And finally, judging the long-term performance of the expressway based on the comprehensive evaluation value RMC of the second dimension. From macroscopic view to microscopic view, a multi-dimensional decision index system of the expressway asphalt pavement is established, and the multi-dimensional index is adopted for evaluation, so that on one hand, the long-term performance of the expressway asphalt pavement can be accurately evaluated, on the other hand, the system can be used as an important basis for maintenance decision, and has a good application prospect.
The foregoing has outlined and described the basic principles, features, and advantages of the present invention. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, and that the above embodiments and descriptions are merely illustrative of the principles of the present invention, and various changes and modifications may be made without departing from the spirit and scope of the invention, which is defined in the appended claims. The scope of the invention is defined by the appended claims and equivalents thereof.
Claims (4)
1. The method for evaluating the long-term performance of the expressway asphalt pavement based on the multiple dimensions is characterized by comprising the following steps of: the long-term performance evaluation can be carried out on the expressway asphalt pavement which has been in traffic for more than 8 years, comprising the following steps,
constructing a first dimension evaluation model for long-term performance evaluation of the expressway asphalt pavement, wherein the first dimension evaluation model is formed by detecting a sub-index running quality index RQI, an anti-skid performance index SRI, a pavement damage index PCI, a rutting depth index RDI and a pavement structural strength index PSSI, and calculating the sub-indexes through weights to obtain a first dimension evaluation index pavement performance status PPC;
constructing a second dimension evaluation model for long-term performance evaluation of the expressway asphalt pavement, wherein the second dimension evaluation model is formed by detecting a surface layer high-temperature performance index HTPM, a lower layer high-temperature performance index HTPL, an upper layer crack resistance index CRI and a base layer mechanical performance index MPI in the index, and calculating the index by weight to obtain a second dimension evaluation index pavement material condition RMC;
step (C), the long-term performance of the expressway asphalt pavement is evaluated sequentially through the combination of the first dimension evaluation model and the second dimension evaluation model to obtain the evaluation grade of the long-term performance of the expressway asphalt pavement,
the step (B) is that the middle-surface-layer high-temperature performance index HTPM is judged through a middle-surface-layer hamburger rut test, and the value of the middle-surface-layer hamburger rut is less than 1.4mm and is rated as 90 minutes; 80 points in the grade between 1.4 and 2.4 mm; a grade difference of more than 2.4mm is 60 minutes;
the lower layer high temperature performance index HTPL is judged according to a lower layer hamburger rut test, and the lower layer hamburger rut value is less than 4.1mm and is classified as class-top 90; 80 points in the grade between 4.1 and 7.3 mm; a grade difference of more than 7.3mm is 60 minutes;
the upper layer crack resistance index CRI is judged by an upper layer fracture energy test, and when the value of the upper layer fracture energy is more than or equal to 700J/m < 2 >, the upper layer fracture energy is rated as the grade of 90 minutes; 80 points in the grade between 300 and 700J/m 2; 300J/m2 or less is 60 minutes of grade difference;
the base layer mechanical property index MPI is judged according to an unconfined compressive strength test, and when the unconfined compressive strength is greater than 7.3Mpa, the grade is superior to 90 minutes; 80 minutes in the grade between 4.6 and 7.3 Mpa; less than 4.6Mpa is 60 minutes of grade difference,
step (B), the second dimension evaluation model is obtained by detecting the surface layer high temperature performance index HTPM, the lower layer high temperature performance index HTPL, the upper layer crack resistance index CRI and the base layer mechanical performance index MPI in the index, calculating the index by weight to obtain the second dimension evaluation index pavement material condition RMC, calculating by a formula (7),
RMC＝w HTPM HTPM+w HTPL HTPL+w CRI CRI+w MPI MPI (7)
wherein W is HTPM The high-temperature performance index weight of the middle surface layer is 0.3 for the expressway and the primary highway; w (W) HTPL For the index weight of the high-temperature performance of the lower layer, 0.25 is adopted for the expressway and the primary highway; w (W) CRI The crack resistance index weight of the upper layer is 0.15 for the expressway and the primary highway; w (W) MPI For the basic layer mechanical property index weight, 0.3 is adopted for the expressway and the primary road,
step (B), the middle surface layer high temperature performance index weight W HTPM Index weight W of high temperature performance of lower layer HTPL Weight of upper layer crack index W CRI Index weight W of mechanical property of base layer MPI The determination process of (2) is as follows:
(B1) Constructing a second dimension evaluation index judgment matrix Q by using the original data obtained by questionnaire survey of experts, wherein the first dimension evaluation index judgment matrix Q is the result of comparing indexes in pairs, and for an index system with the 4 indexes, the matrix form is as follows:
(B2) Calculating the weight value of each index by a sum method after obtaining a second dimension evaluation index judgment matrix Q;
(B3) Adding each column of the second dimension evaluation index judgment matrix Q, and normalizing each element to obtain Q ij '，
(B4) Q for each row ij ' summing to get q1 ij '，
(B5) Will q1 ij ' adding columns forming a new matrix, normalizing each element to obtain a weight value of each index,
the w1 1 Index weight W for medium surface layer high temperature performance HTPM ，w1 2 Index weight W for high temperature performance of the underlying layer HTPL 、w1 3 Weight W for the crack resistance index of the upper layer CRI 、w1 4 Is the index weight W of the mechanical property of the base layer MPI ，
The step (C) is to evaluate the long-term performance of the expressway asphalt pavement by combining the first dimension evaluation model and the second dimension evaluation model in sequence,
(C1) Primarily evaluating the expressway through a first dimension evaluation model, wherein if the pavement performance status PPC is more than or equal to 90 minutes, the expressway is excellent; if the pavement performance status PPC is less than 90 minutes and more than or equal to 80 minutes, executing (C2), and performing secondary evaluation through the pavement performance status PPC; if the pavement performance PPC is less than 80 minutes and more than or equal to 70 minutes, the expressway is secondary; if the pavement performance status PPC is less than 70 minutes, the expressway is poor;
(C2) Performing secondary evaluation through the pavement performance status PPC, and if the pavement material status RMC is more than or equal to 90 minutes, obtaining a good expressway; if the pavement performance PPC is less than 90 minutes and more than or equal to 80 minutes, the expressway is the middle expressway; if the pavement performance PPC is less than 80 minutes and more than or equal to 70 minutes, the expressway is secondary; if the road surface performance status PPC is less than 70 minutes, the expressway is poor.
2. The multi-dimensional highway asphalt pavement long-term performance evaluation method according to claim 1, wherein the method comprises the following steps: a step (A) of calculating the running quality index RQI through a formula (1),
the IRI is an international flatness index, and the unit is m/km; a, a 0 For the first driving quality coefficient, 0.026 is adopted for the expressway and the primary road; a, a 1 For the second driving quality coefficient, 0.65 is adopted for the expressway and the primary highway;
the slip resistance index SRI is calculated by a formula (2),
SFC is a transverse force coefficient, SRImin is a calibration parameter, and 35 is adopted; a, a 2 28.6 is adopted for the first anti-skid performance parameter; a, a 3 As a second anti-slip performance parameter, adopting-0.015;
the pavement damage index PCI is calculated by a formula (3),
PCI＝100-a 4 DR a5 (3)
wherein DR is road surface breakage rate, and the unit is; a, a 4 15 is adopted for the pavement damage coefficient of the first asphalt pavement; a, a 5 For the second asphalt pavement breakage coefficient, 0.412 is adopted;
the rutting depth index RDI is calculated by the formula (4),
wherein RD is rut depth; RDa is a rut depth parameter, 10 is adopted; RDb is the rut depth parameter, 40 is adopted; a, a 6 Adopting 1 for the first rut depth model parameter; a, a 7 Adopting 3 for the second rut depth model parameter;
the pavement structural strength index PSSI is obtained through calculation of a formula (5),
wherein SSR is the road surface structural coefficient and is the road surface deflection standard value l R Deflection substitute for actual measurement of road surfaceDeflection of the surface 0 Ratio of; a, a 9 15.71 is adopted as a first pavement structural strength model parameter; a, a 10 For the second road surface structural strength model parameter, -5.19 was used.
3. The multi-dimensional highway asphalt pavement long-term performance evaluation method according to claim 2, wherein the method comprises the following steps: step (A), the first dimension evaluation model is obtained by detecting a sub-index running quality index RQI, an anti-skid performance index SRI, a pavement damage index PCI, a rutting depth index RDI and a pavement structural strength index PSSI, calculating the sub-indexes through weights to obtain a first dimension evaluation index pavement performance status PPC, calculating through a formula (6),
PPC＝w PCI PCI+w RQI RQI+w RDI RDI+w SRI SRI+w PSSI PSSI (6)
wherein W is PCI The weight of the pavement damage index is 0.35 for the expressway and the primary highway; w (W) RQI For the weight of the running quality index, 0.3 is adopted for the expressway and the primary highway; w (W) RDI For rut depth index weight, 0.15 is adopted for expressways and primary roads; w (W) SRI For the anti-skid performance index weight, 0.1 is adopted for the expressway and the primary highway; w (W) PSSI For the structural strength weight of the pavement, 0.1 is adopted for the expressway and the primary highway.
4. The multi-dimensional highway asphalt pavement long-term performance evaluation method according to claim 3, wherein the method comprises the following steps: the pavement damage index weight W PCI Weight W of running quality index RQI Rutting depth index weight W RDI Index weight of anti-slip property W SRI Weight W of pavement structural strength PSSI The determination process of (2) is as follows:
(A1) Constructing a first dimension evaluation index judgment matrix P by using original data obtained by questionnaire survey of experts, wherein the first dimension evaluation index judgment matrix P is a result of comparing indexes in pairs, and for an index system with the 5 indexes, the matrix form is as follows:
(A2) Calculating the weight value of each index by a sum method after the first dimension evaluation index judgment matrix P is obtained;
(A3) Adding each column of the first dimension evaluation index judgment matrix P, and normalizing each element to obtain P ij '，
(A4) P for each row ij ' summing to obtain p1 ij '，
(A5) P1 is to ij ' adding columns forming a new matrix, normalizing each element to obtain a weight value of each index,
the w is 1 Is the pavement damage index weight W PCI 、w 2 Weight W is the running quality index RQI 、w 3 For rutting depth index weight W RDI 、w 4 Is the anti-skid performance index weight W SRI 、w 5 Weight W for structural strength of pavement PSSI 。
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