CN107818237A - The evaluation method of Damages of Asphalt Road Surface situation - Google Patents

The evaluation method of Damages of Asphalt Road Surface situation Download PDF

Info

Publication number
CN107818237A
CN107818237A CN201710835031.2A CN201710835031A CN107818237A CN 107818237 A CN107818237 A CN 107818237A CN 201710835031 A CN201710835031 A CN 201710835031A CN 107818237 A CN107818237 A CN 107818237A
Authority
CN
China
Prior art keywords
mrow
evaluation
pavement
index
msub
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN201710835031.2A
Other languages
Chinese (zh)
Inventor
周岚
倪庆
李小鹏
汪平
崔雯
李刚
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
NANJING ROAD KEEPER TECHNOLOGY Co Ltd
Original Assignee
NANJING ROAD KEEPER TECHNOLOGY Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by NANJING ROAD KEEPER TECHNOLOGY Co Ltd filed Critical NANJING ROAD KEEPER TECHNOLOGY Co Ltd
Priority to CN201710835031.2A priority Critical patent/CN107818237A/en
Publication of CN107818237A publication Critical patent/CN107818237A/en
Pending legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16ZINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS, NOT OTHERWISE PROVIDED FOR
    • G16Z99/00Subject matter not provided for in other main groups of this subclass

Landscapes

  • Road Paving Structures (AREA)
  • Road Repair (AREA)

Abstract

This case is related to a kind of evaluation method of Damages of Asphalt Road Surface situation, comprises the following steps:1) road surface breakage data are gathered;2) road surface transverse crack evaluation number TCEI is calculated;3) pavement patching status score PPCI is calculated;4) road surface deterioration extent indices P SCI is calculated;5) attribute weight of three indexes is calculated using analytic hierarchy process (AHP);6) the grade weight of three indexes is calculated using Information Entropy;7) attribute weight in three indexes and grade weight calculation obtain comprehensive weight;8) pavement distress indices P DCI evaluation model is built;The evaluation result of pavement distress is obtained according to the value for the PDCI being calculated.The present invention establishes the evaluation method of the Damages of Asphalt Road Surface situation of variable synthesis evaluation assessment, and this method is combined the changeable weight for calculating each evaluation index using analytic hierarchy process (AHP) and E-government Network, and evaluation result has more accuracy.

Description

Method for evaluating damage condition of asphalt pavement
Technical Field
The invention relates to the technical field of road engineering, in particular to an evaluation method for a damage condition of an asphalt pavement.
Background
The three subentry indexes of the pavement transverse crack evaluation index TCEI, the pavement repair condition index PPCI and the pavement surface damage condition index PSCI can objectively reflect the damage degree of certain diseases of the asphalt pavement of the expressway and are used for guiding the formulation of a pavement maintenance decision scheme. However, in the evaluation of the road surface maintenance quality, in addition to the comparison of the individual damage conditions of the road surface damage, it is necessary to evaluate the overall condition of the road surface damage for the macroscopic evaluation of the road surface damage condition. How to comprehensively evaluate the road surface damage condition still remains a key problem to be solved by the current road maintenance managers.
Comprehensive evaluation of road surface damage condition is a multi-index comprehensive evaluation problem. Any multi-index evaluation system needs to determine the weight of each subentry evaluation index, and different weights correspond to different evaluation results, so that the reasonable determination of the weight of the evaluation index is very important for any evaluation method. In some cases, the weights may be determined by relying on the knowledge and experience of a judge expert. In some cases, experts cannot measure the mutual importance of each evaluation index by experience. At present, the domestic pavement service performance evaluation mostly adopts constant weight evaluation, namely, the weight of the index is not changed no matter how the index value of the evaluation index changes. For the overall road surface performance, when the grade characteristic of a certain index is particularly obvious, the normal judgment is still adopted, and the grade characteristic is possibly neutralized by other indexes, so that the judgment accuracy is reduced. Therefore, objective criteria of the index itself should be sought, and the weight should be objectively determined.
When the damage condition of the asphalt pavement of the expressway is evaluated, due to the fact that three single indexes are involved, when one evaluation index is particularly serious, no matter what evaluation model is adopted, the evaluation index can be neutralized by other indexes with slight degrees, the severity of an evaluation system is reduced, and objective fairness of evaluation is lost.
Disclosure of Invention
Aiming at the technical problems in the prior art, the scheme provides an evaluation method for the damage condition of the asphalt pavement, which can realize the increase of index weight along with the increase of the severity of the index value by comprehensively evaluating the weight of each single index by variable weight, avoid the phenomenon that serious diseases are neutralized due to the adoption of fixed weight, and enable the evaluation result to be more accurate.
In order to achieve the purpose, the scheme is achieved through the following technical scheme:
an evaluation method for asphalt pavement damage condition comprises the following steps:
1) collecting pavement damage data;
2) calculating a transverse crack spacing TCS and a transverse crack penetration TWR based on the pavement damage data, and calculating a pavement transverse crack evaluation index TCEI by taking the two indexes as evaluation indexes of a pavement transverse crack;
3) calculating a pavement repair condition index (PPCI) based on the pavement damage data;
4) calculating a road surface damage condition index PSCI based on the road surface damage data;
5) respectively calculating attribute weights omega 'of TCEI, PPCI and PSCI by adopting an analytic hierarchy process in a subjective weighting method'1、ω′2And ω'3
6) Respectively calculating and obtaining the grade weights omega of TCEI, PPCI and PSCI by adopting an entropy method in an objective weighting method "1、ω"2And ω "3
7) Respectively calculating the comprehensive weight omega of the TCEI, the PPCI and the PSCI according to the attribute weight and the level weight in the TCEI, the PPCI and the PSCI1、ω2And ω3
8) Constructing an evaluation model of the road surface damage condition index PDCI, wherein the expression of the evaluation model is as follows:
and obtaining the evaluation result of the road surface damage condition according to the calculated PDCI value.
Preferably, the method for evaluating the asphalt pavement damage condition includes the following calculation formula of the transverse crack spacing TCS in step 2):
wherein, L is the length of the evaluation road section; TCN is the total number of transverse fractures in the evaluation section.
Preferably, the method for evaluating the damage condition of the asphalt pavement, wherein the calculation formula of the transverse crack penetration TWR in the step 2) is as follows:
wherein, TCL is the transverse crack evaluation length, TCL is TCTL/TCN, TCTL is the total length of the transverse crack, and TCN is the total number of the transverse cracks in the evaluation section; and B is the lane width.
Preferably, the method for evaluating the asphalt pavement damage condition, wherein the calculation formula of the pavement transverse crack evaluation index TCEI in the step 2) is as follows:
preferably, in the method for evaluating a damaged condition of an asphalt pavement, the expression of the pavement repair condition index PPCI in step 3) is:
PPCI=100-15.634×PPR0.4032
wherein,it is the road surface repair rate, CiThe area of the ith pavement to be repaired is C, the total area of the pavement to be detected is C, and n is the repairing quantity.
Preferably, the method for evaluating a damage condition of an asphalt pavement, wherein the expression of the pavement surface damage condition index PSCI of step 4) is:
PSCI=100-15.0×SDR0.412
wherein,it is the surface damage rate, BiThe area of the ith pavement damage is B, and the area of the pavement to be detected is B; m isiIs the weight of the i-th road surface damage, g isThe total number of types of damage that comprise the degree of damage.
Preferably, the method for evaluating a damaged condition of an asphalt pavement is ω'1=0.2558,ω′2=0.1022,ω′3=0.6421。
Preferably, the method for evaluating a damaged condition of an asphalt pavement, wherein the method for calculating the grade weight in the step 6) comprises:
i) determining the characteristic specific gravity value of the evaluated object
For n evaluation objects, m evaluation indexes and the characteristic specific gravity value P of the ith evaluated object under the j indexijThe expression of (a) is:
wherein x isijA matrix formed by evaluation index values of the asphalt pavement;
II) determination of the entropy of the evaluation index
Entropy h of j-th evaluation indexjThe expression of (a) is:
III) determining the coefficient of variation of the evaluation index
Coefficient of variation g of j-th evaluation indexjThe expression of (a) is:
gj=1-hj
IV) determining the grade weight of the evaluation index
Rank weight ω of j-th evaluation indexjThe expression of "is:
preferably, the method for evaluating a damaged condition of an asphalt pavement, wherein the expression of the integrated weight in the step 7) is:
wherein, omega'iThe attribute weight of the ith single index; omegai"is the rank weight of the ith single index, and n is the total number of indexes.
The invention has the beneficial effects that:
(1) the invention has established the evaluation method of the damaged condition of bituminous pavement of the comprehensive evaluation method of weight change for the first time to the existing evaluation method on the objectivity that the weight is confirmed, this method is from the measured data, utilize analytic hierarchy process and entropy weight coefficient method to combine and calculate the dynamic weight of every evaluation index, make the weight of every evaluation index have objectivity more, the evaluation result has more accuracy, the evaluation to the damaged condition severity of the road surface plays a guiding role;
(2) and by combining damage analysis and evaluation indexes, a scientific basis is provided for making a pavement maintenance decision scheme.
Drawings
FIG. 1 is a hierarchical structure model of a subentry index weight analysis in a pavement damage evaluation comprehensive index PDCI.
Detailed Description
The present invention is further described in detail below with reference to examples so that those skilled in the art can practice the invention with reference to the description.
When the pavement performance is evaluated, the selection of the evaluation index should follow the principles of science, objectivity, strong operability, clear purpose and the like. The main evaluation indexes of the damage condition of the asphalt pavement are a pavement transverse crack evaluation index TCEI, a pavement repair condition index PPCI and a pavement surface damage condition index PSCI. The road surface damage condition index PDCI is also obtained through the weighted calculation of the subentry index, and the established road surface damage condition comprehensive evaluation model is shown as the formula (1):
in the formula: PDCI is a pavement damage condition index used for evaluating the comprehensive condition of asphalt pavement damage of the expressway;
TCEI-evaluation index of transverse cracks on road surface;
PPCI-road repair Condition index;
PSCI-road surface damage condition index;
ωi-the integrated weight of the corresponding index, i ═ 1,2, 3.
The methods for determining the index weight mainly include two types, namely subjective weighting methods and objective weighting methods. The subjective weighting method is a method for determining the weight according to the degree of importance of people to each evaluation index subjectively, such as a delphire method, a binomial coefficient method, an analytic hierarchy process, a ring ratio scoring method and the like. The objective weighting method determines the corresponding index weight according to the size of the original information quantity, and mainly comprises a principal component analysis method, an averaging method, an entropy value method and the like.
The analytic hierarchy process is a decision-making process for decomposing elements related to decision-making into levels of target, criterion, scheme, etc. and making qualitative and quantitative analysis on the basis of the levels, and is characterized by that on the basis of deep analysis of essence, influencing factors and internal relationship of complex decision-making problem it utilizes less quantitative information to make decision-making thinking process implement mathematic treatment so as to provide simple decision-making method for complex decision-making problem with multi-target, multi-criterion or no-structure characteristics.
The entropy method is an objective weighting method for determining the weight of a decision index according to the size of information content contained in each index value, and has been widely applied in production practice and has a good effect. In information theory, entropy is a measure of the degree of disorder or chaos of a system, and information is interpreted as a reduction in the degree of disorder of the system and represents the degree of variation of some property of the system. If the information entropy of a certain index is smaller, the larger the variation degree of the index value is, the more information is provided, and the larger the role in comprehensive evaluation is, the larger the weight of the index value is; conversely, the larger the entropy of a certain index information is, the smaller the degree of variation of the index value is, the smaller the amount of information to be provided is, and the smaller the role played by the overall evaluation is, the smaller the weight thereof should be.
The method divides the weight of each single index into two parts, wherein the first part is an attribute weight which represents the influence degree of the single index on the road surface damage condition, the weight is fixed and is determined by adopting an analytic hierarchy process in a subjective weighting method; the second part is a grade weight which represents the actual severity grade of each evaluation index, the weight is variable and changes with the severity of the index value, and the weight can be determined by an entropy method in an objective weighting method.
Because the grade weight is determined by the severity of the damaged single evaluation index, the comprehensive weight obtained by the integration of the 2 kinds of weights can be correspondingly increased along with the increase of the severity of the index, thereby avoiding the neutralization of the severity index caused by adopting a fixed weight and ensuring that the evaluation result is more accurate.
An evaluation method for asphalt pavement damage condition comprises the following steps:
1) collecting pavement damage data;
2) calculating a transverse crack spacing TCS and a transverse crack penetration TWR based on the pavement damage data, and calculating a pavement transverse crack evaluation index TCEI by taking the two indexes as evaluation indexes of a pavement transverse crack;
3) calculating a pavement repair condition index (PPCI) based on the pavement damage data;
4) calculating a road surface damage condition index PSCI based on the road surface damage data;
5) respectively calculating attribute weights omega 'of TCEI, PPCI and PSCI by adopting an analytic hierarchy process in a subjective weighting method'1、ω′2And ω'3
6) Respectively calculating and obtaining the grade weights omega of TCEI, PPCI and PSCI by adopting an entropy method in an objective weighting method "1、ω"2And ω "3
7) Respectively calculating the comprehensive weight omega of the TCEI, the PPCI and the PSCI according to the attribute weight and the level weight in the TCEI, the PPCI and the PSCI1、ω2And ω3
8) Constructing an evaluation model of the road surface damage condition index PDCI, wherein the expression of the evaluation model is as follows:
and obtaining the evaluation result of the road surface damage condition according to the calculated PDCI value.
The step 5) of determining the attribute weight by the analytic hierarchy process comprises the following steps:
a) building a hierarchical model
Determining a pavement damage evaluation comprehensive index PDCI as a target layer A; the standard layer element for determining the structural strength and the driving comfort of the road surface is C1、C2(ii) a The scheme layer elements for determining the transverse crack evaluation index TCEI, the pavement repair condition index PPCI and the pavement surface damage condition index PSCI areP1、P2、P3
b) Establishing a decision matrix
Establishing an A-C judgment matrix, wherein the single-layer judgment matrix relates to C1、C2Comparing the importance of the two, assigning a value, and constructing a matrix A ═ A2*2Namely:
establishing a C-P matrix involving a scheme layer element of P1、P2、P3Comparing and assigning pairwise, and constructing a judgment matrix C1=(C1)3*3And C2=(C2)3*3Namely:
c) hierarchical single ordering and consistency check
Loading A, C1 and C2 matrixes to be processed, obtaining a level single-sequencing consistency check CR of 0.0961 < 0.1 based on the sps statistical software, and performing level single-sequencing consistency check;
d) hierarchical gross ordering and consistency check
Loading A, C1 and C2 matrixes which pass the check of the hierarchical single-ordering consistency, obtaining the check CR' of the hierarchical total-ordering consistency to be 0.0718 less than 0.1 based on the sps statistical software, and passing the check of the hierarchical total-ordering consistency;
e) based on the sps statistical software, the obtained attribute weights ω 'and ω' of the road surface transverse crack evaluation index TCEI, the road surface repair condition index PPCI and the road surface damage condition index PSCI are specifically as follows:
ω′=[ω′1,ω′2,ω′3]T=[0.2558,0.1022,0.6421]T
where T is the transposition factor.
The step of determining the grade weights of the three indexes by the entropy method in the step 6) comprises the following steps:
i) determining the characteristic specific gravity value of the evaluated object
For n evaluation objects, m evaluation indexes and the characteristic specific gravity value P of the ith evaluated object under the j indexijThe expression of (a) is:
wherein x isijThe matrix is composed of evaluation index values of the asphalt pavement.
II) determination of the entropy of the evaluation index
Entropy h of j-th evaluation indexjThe expression of (a) is:
III) determining the coefficient of variation of the evaluation index
Coefficient of variation g of j-th evaluation indexjThe expression of (a) is:
gj=1-hj
IV) determining the grade weight of the evaluation index
Rank weight w of j-th evaluation indexjThe expression of "is:
preferably, the asphalt pavement is damagedThe evaluation method of (1), wherein the weighting factor ω in the road surface damage condition comprehensive evaluation index in the step 7) is set toiThe expression of (a) is:
wherein ω' is the attribute weight of the ith single index; ω' is the rank weight of the ith individual index, and n is the number of indexes.
The expression for the transverse crack spacing TCS is:
wherein, L is the length of the evaluation road section; TCN is the total number of transverse fractures in the evaluation section.
The expression of the transverse crack penetration TWR is as follows:
wherein, TCL is the transverse crack evaluation length, TCL is TCTL/TCN, TCTL is the total length of the transverse crack, and TCN is the total number of the transverse cracks in the evaluation section; and B is the lane width.
The expression of the evaluation index TCEI of the transverse crack of the road surface is as follows:
the expression of the road repair condition index PPCI is:
PPCI=100-15.634×PPR0.4032
wherein,it is the road surface repair rate, CiThe area of the ith pavement to be repaired is C, the total area of the pavement to be detected is C, and n is the repairing quantity.
The expression of the road surface damage condition index PSCI is as follows:
PSCI=100-15.0×SDR0.412
wherein,it is the surface damage rate, BiThe area of the ith pavement damage is B, and the area of the pavement to be detected is B; m isiIs the weight of the i-th road surface damage, and g is the total number of damage types including the degree of damage.
TABLE 1 asphalt pavement damage type g and weight miWatch (A)
According to the collected pavement damage condition data of the Jinghush high-speed highway and the Fenshu high-speed highway, TCEI, PPCI and PSCI are respectively calculated, and the calculation results are as follows:
TABLE 2 Beijing Shanghai highway and Fenshu highway pavement damage status data
Taking the pavement damage conditions of the Jinghush expressway and the Fenshu expressway as examples, the pavement damage conditions are comprehensively evaluated and the evaluation grades are determined.
2.1 determination of Attribute weights
2.1.1 construction of hierarchical models
According to the basic principle of the analytic hierarchy process, the single evaluation index of the pavement damage condition is combined, and a hierarchical structure model for comprehensively evaluating the damage condition of the asphalt pavement of the expressway is established based on the influence of different damages on the structural strength and the driving quality of the pavement, as shown in fig. 1. The comprehensive index PDCI for the road surface damage evaluation in this example may be determined as the target layer a. Considering the importance degree of each subentry index on the comprehensive evaluation of the road surface damage, the two principles are determined as the standard layer elements, namely numbers C1 and C2, because the two principles are compared with each other in terms of the structural strength and the driving comfort of the road surface. The final determination of the comprehensive indexes is based on the transverse crack evaluation index TCEI, the road surface repairing condition index PPCI and the road surface damage condition index PSCI, and the three items can be used as scheme layer elements with the numbers of P1, P2 and P3.
2.1.2 construction of the decision matrix
Establishing an A-C judgment matrix, wherein a single-layer judgment matrix relates to two elements, the influence degree on the road structure strength and the influence degree on the road driving quality are compared, the importance of the two elements is compared, assignment is carried out (the assignment mode is shown in the following table 3), and a matrix A2 x 2 is constructed.
Then constructing a C-P matrix, wherein three elements are involved, namely a transverse crack evaluation index TCEI, a pavement repair condition index PPCI and a pavement surface damage condition index PSCI, comparing and assigning in pairs (assigning mode is shown in the following table 3), and constructing a judgment matrix (C)1)3*3And (C)2)3*3
TABLE 3 significance Scale of values
Relative degree of importance aijValue of Scale meanings
1 Two elements have the same importance compared
3 The former being slightly more important than the latter in comparison with the two elements
5 The former is significantly more important than the latter when compared with the two elements
7 The former is more important than the latter in comparison with two elements
9 The former is absolutely more important than the latter when compared with two elements
2、4、6、8 Median of the above determinations
Reciprocal of the If the ratio of the importance of elements i and j is aijThen the ratio of elements j to i is 1/aij
2.1.3 level Single ordering and consistency check
Firstly, consistency check is carried out on A, and since A is a 2-order matrix, the consistency principle is met, and the maximum characteristic value lambda ismax=2,Its corresponding feature vector W ═ W1,W2]T=[0.8333,0.1667]T. To C1And C2The matrix is subjected to consistency check and the weight of each element is calculated, and the calculation result of the single-layer judgment matrix is shown in table 4.
TABLE 4 Single-layer decision matrix calculation results
Element weight Wi1 Wi2 Wi3 λmax CRi
WC1 0.2926 0.0668 0.6406 3.0999 0.0961
WC2 0.0719 0.2790 0.6491 3.0649 0.0624
As can be seen from the results of CR calculations in Table 4, CR values are all less than 0.1, and thus the single-layer matrix C1And C2And through consistency check, the matrix is a valid matrix.
2.1.4 level Total ordering and consistency check
And carrying out consistency check on the total hierarchical ordering, wherein CI is 0.8333 multiplied by 0.04995+0.1677 multiplied by 0.03245 is 0.04162, RI is 0.58,the overall hierarchical ordering is known to pass the consistency check. Factor P1、P2、P3The weights for the target layer are calculated as follows:
W′=[ω′1,ω′2,ω′3]T=[0.2558,0.1022,0.6421]T
w' is an attribute weight of the road surface damage condition comprehensive evaluation, and the weight is fixed and does not change with the road section to be evaluated or the evaluation index value. From the above formula, ω'1=0.2558,ω′2=0.1022,ω′3=0.6421。
2.2 determination of rank weights
The grade weights of the two highways are calculated according to the pavement damage detection data of 2012 and 2008 of the jinghu highway and 2012 of the fen highway. The grade weights of the pavement damages of the jinghu highway and the fen-irrigation highway were calculated according to the procedure of example 1 and summarized in table 5.
TABLE 5 entropy determination of rank weights
As can be seen from table 5, in the same year, different expressways have different main road surface disease types, so that the grade weight difference of each evaluation index is large, the weight of the jinghu expressway road surface repair condition index is the largest during 2012, and the evaluation index is the transverse crack evaluation index, which is consistent with the actual road surface damage data of the jinghu expressway in 2012, the road surface repair condition is serious, and the transverse crack and other surface damage conditions are good; and the largest weight of evaluation indexes of the fenyuan highway pavement transverse cracks indicates that the pavement diseases are mainly transverse cracks. For the same highway, the grade weights of the evaluation indexes at different time are different, and the weight calculation results of 2008 and 2012 of the Jinghu highway show that the weight of the evaluation index of the transverse crack of the pavement of the Jinghu highway in 2008 is the largest, and the weight of the repair condition index is slightly smaller than the transverse crack evaluation index, which indicates that the transverse crack condition and the repair condition of the pavement of the Jinghu highway in this year are serious, the weight result accords with the actual damage condition of the pavement, and the repairing history data of the Jinghu highway is read to show that the pavement is subjected to overhaul, maintenance and treatment by 4-5 cm cover surface from 2009 until the end of 2011 to complete the whole line cover surface, so that the pavement damage condition in 2012 is greatly improved, and the weight of the transverse crack and the surface damage condition index is far smaller than the repair condition index. Therefore, the grade weight determined by the entropy method can well reflect the real condition of road surface damage.
2.3 determination of the Integrated weights
Comprehensive weight omega in road surface damage condition comprehensive evaluation indexiThe expression of (a) is:
wherein, omega'iThe attribute weight of the ith single index; omegai"is the rank weight of the ith single index, and n is the number of indexes.
The comprehensive weights of the two highways are calculated according to the above formula, and the calculation results are summarized in table 6.
TABLE 6 determination of the Integrated weights
The evaluation model expression of the road surface damage condition index PDCI is as follows:
from the weights of table 5, the road surface damage condition index PDCI is calculated as follows:
2012 of jinghu highway: PDCI ═ TCEI0.3265·PPCI0.3391·PSCI0.3344
2008 for jinghu highway: PDCI ═ TCEI0.4249·PPCI0.2483·PSCI0.3268
Fen irritate expressway 2012: PDCI ═ TCEI0.5856·PPCI0.2185·PSCI0.1959
The classification criteria for the road damage condition index PDCI are shown in table 7 below.
TABLE 7 road damage condition index PDCI grading Standard
Evaluation index Superior food Good wine In Next time Difference (D)
PDCI ≥90 80~90 70~80 60~70 <60
And selecting each 3km road section under three conditions, and respectively evaluating by adopting the variable weight comprehensive evaluation model PDCI for the road damage condition, the index PDCI' for the road damage condition under the fixed weight and the index PCI for the road damage condition proposed by the current specification, wherein the results are shown in a table 8.
The expression of the road surface damage condition index PDCI' under the fixed weight is as follows:
PDCI′=ω1·TCEI+ω2·PPCI+ω3·PSCI
TABLE 8 comparison of PDCI with PDCI' and PCI
As can be seen from table 8, for these nine road sections, the PDCI values are all smaller than the PCI values, and when evaluated by the PCI index, the road surface damage status levels of the nine road sections are all good, and the road surface damage is slight, and it is not necessary to perform intermediate maintenance on the road surface, but only to perform minor maintenance on the disease. When the PDCI indexes provided by the text are used for evaluation, the difference between the evaluation grades of the road surface damage conditions of the nine road sections and the PCI is larger, and the PDCI evaluation results are closer to the actual road conditions relative to the PCI indexes by combining the actual road surface damage conditions of the road sections and the calculation results of the individual evaluation indexes TCEI, PPCI and PSCI, so that the actual road surface damage conditions can be better reflected. For example, on a road section 7, the transverse crack condition of the road section is severe and is at a secondary level, but the repair condition and the surface damage condition are both at a superior level, the PCI evaluation result is excellent, and the PDCI evaluation result is medium, so that the evaluation result of the PDCI index is more accurate and reliable. Comparing the evaluation results of the PDCI and the PDCI ', the PDCI' evaluation result is better than the PDCI, the evaluation result difference of each road section is small, and the damage severity of different road sections is difficult to distinguish. Taking 3 sections of the fenrecharging expressway as an example, the evaluation results of the 3 sections are respectively as follows: compared with the actual damage statistical condition, the evaluation result of the PDCI model is closer to the actual damage condition.
In conclusion, the method for comprehensively evaluating the damage condition of the asphalt pavement of the expressway with variable weights is reasonable and feasible, dynamic processing is adopted for the weights of the index weights, the weights can be increased along with the increase of the severity of the index, compared with a traditional evaluation model, the evaluation result is more accurate, and the method plays a guiding role in evaluating the severity of the damage condition of the pavement; meanwhile, a scientific basis is provided for making a pavement maintenance decision scheme by combining damage analysis and evaluation indexes.
While embodiments of the invention have been disclosed above, it is not limited to the applications listed in the description and the embodiments, which are fully applicable in all kinds of fields of application of the invention, and further modifications may readily be effected by those skilled in the art, so that the invention is not limited to the specific details without departing from the general concept defined by the claims and the scope of equivalents.

Claims (9)

1. The method for evaluating the damage condition of the asphalt pavement is characterized by comprising the following steps of:
1) collecting pavement damage data;
2) calculating a transverse crack spacing TCS and a transverse crack penetration TWR based on the pavement damage data, and calculating a pavement transverse crack evaluation index TCEI by taking the two indexes as evaluation indexes of a pavement transverse crack;
3) calculating a pavement repair condition index (PPCI) based on the pavement damage data;
4) calculating a road surface damage condition index PSCI based on the road surface damage data;
5) respectively calculating attribute weights omega 'of TCEI, PPCI and PSCI by adopting an analytic hierarchy process in a subjective weighting method'1、ω′2And ω'3
6) Respectively calculating and obtaining the grade weights omega of TCEI, PPCI and PSCI by adopting an entropy method in an objective weighting method "1、ω"2And ω "3
7) Respectively calculating the comprehensive weight omega of the TCEI, the PPCI and the PSCI according to the attribute weight and the level weight in the TCEI, the PPCI and the PSCI1、ω2And ω3
8) Constructing an evaluation model of the road surface damage condition index PDCI, wherein the expression of the evaluation model is as follows:
<mrow> <mi>P</mi> <mi>D</mi> <mi>C</mi> <mi>I</mi> <mo>=</mo> <msup> <mi>TCEI</mi> <msub> <mi>&amp;omega;</mi> <mn>1</mn> </msub> </msup> <mo>&amp;times;</mo> <msup> <mi>PPCI</mi> <msub> <mi>&amp;omega;</mi> <mn>2</mn> </msub> </msup> <mo>&amp;times;</mo> <msup> <mi>PSCI</mi> <msub> <mi>&amp;omega;</mi> <mn>3</mn> </msub> </msup> <mo>;</mo> </mrow>
and obtaining the evaluation result of the road surface damage condition according to the calculated PDCI value.
2. The method for evaluating a damaged condition of an asphalt pavement according to claim 1, wherein the calculation formula of the transverse crack spacing TCS in step 2) is:
<mrow> <mi>T</mi> <mi>C</mi> <mi>S</mi> <mo>=</mo> <mfrac> <mi>L</mi> <mrow> <mi>T</mi> <mi>C</mi> <mi>N</mi> </mrow> </mfrac> <mo>;</mo> </mrow>
wherein, L is the length of the evaluation road section; TCN is the total number of transverse fractures in the evaluation section.
3. The method for evaluating a damaged condition of an asphalt pavement according to claim 1, wherein the calculation formula of the transverse crack penetration TWR in the step 2) is:
<mrow> <mi>T</mi> <mi>W</mi> <mi>R</mi> <mo>=</mo> <mfrac> <mrow> <mi>T</mi> <mi>C</mi> <mi>L</mi> </mrow> <mi>B</mi> </mfrac> <mo>;</mo> </mrow>
wherein, TCL is the transverse crack evaluation length, TCL is TCTL/TCN, TCTL is the total length of the transverse crack, and TCN is the total number of the transverse cracks in the evaluation section; and B is the lane width.
4. The method for evaluating a damaged condition of an asphalt pavement according to claim 1, wherein the evaluation index TCEI for the transverse crack of the pavement in step 2) is calculated by the formula:
<mrow> <mi>T</mi> <mi>C</mi> <mi>E</mi> <mi>I</mi> <mo>=</mo> <mfrac> <mrow> <mi>T</mi> <mi>C</mi> <mi>S</mi> </mrow> <mrow> <mi>T</mi> <mi>W</mi> <mi>R</mi> </mrow> </mfrac> <mo>.</mo> </mrow>
5. the method for evaluating an asphalt pavement damage condition according to claim 1, wherein the expression of the pavement repair condition index PPCI in step 3) is:
PPCI=100-15.634×PPR0.4032
wherein,it is the road surface repair rate, CiThe area of the ith pavement to be repaired is C, the total area of the pavement to be detected is C, and n is the repairing quantity.
6. The method for evaluating a damaged condition of an asphalt pavement according to claim 1, wherein the expression of the pavement surface damaged condition index PSCI of step 4) is:
PSCI=100-15.0×SDR0.412
wherein,it is the surface damage rate, BiThe area of the ith pavement damage is B, and the area of the pavement to be detected is B; m isiIs the weight of the i-th road surface damage, and g is the total number of damage types including the degree of damage.
7. The method of evaluating a damaged condition of an asphalt pavement according to claim 1, wherein ω'1=0.2558,ω′2=0.1022,ω′3=0.6421。
8. The method for evaluating a damaged condition of an asphalt pavement according to claim 1, wherein the method for calculating the grade weight in the step 6) comprises:
i) determining the characteristic specific gravity value of the evaluated object
For n evaluation objects, m evaluation indexes and the characteristic specific gravity value P of the ith evaluated object under the j indexijThe expression of (a) is:
<mrow> <msub> <mi>p</mi> <mrow> <mi>i</mi> <mi>j</mi> </mrow> </msub> <mo>=</mo> <msub> <mi>x</mi> <mrow> <mi>i</mi> <mi>j</mi> </mrow> </msub> <mo>/</mo> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>i</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>n</mi> </munderover> <msub> <mi>x</mi> <mrow> <mi>i</mi> <mi>j</mi> </mrow> </msub> <mo>;</mo> </mrow>
wherein x isijA matrix formed by evaluation index values of the asphalt pavement;
II) determination of the entropy of the evaluation index
Entropy h of j-th evaluation indexjThe expression of (a) is:
<mrow> <msub> <mi>h</mi> <mi>j</mi> </msub> <mo>=</mo> <mo>-</mo> <mfrac> <mn>1</mn> <mrow> <mi>ln</mi> <mrow> <mo>(</mo> <mi>n</mi> <mo>)</mo> </mrow> </mrow> </mfrac> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>i</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>n</mi> </munderover> <msub> <mi>p</mi> <mrow> <mi>i</mi> <mi>j</mi> </mrow> </msub> <mi>ln</mi> <mi> </mi> <msub> <mi>p</mi> <mrow> <mi>i</mi> <mi>j</mi> </mrow> </msub> <mo>;</mo> </mrow>
III) determining the coefficient of variation of the evaluation index
Coefficient of variation g of j-th evaluation indexjThe expression of (a) is:
gj=1-hj
IV) determining the grade weight of the evaluation index
Rank weight ω of j-th evaluation indexjThe expression of "is:
<mrow> <msubsup> <mi>&amp;omega;</mi> <mi>j</mi> <mrow> <mo>&amp;prime;</mo> <mo>&amp;prime;</mo> </mrow> </msubsup> <mo>=</mo> <mfrac> <msub> <mi>g</mi> <mi>j</mi> </msub> <mrow> <msubsup> <mi>&amp;Sigma;</mi> <mrow> <mi>j</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>n</mi> </msubsup> <msub> <mi>g</mi> <mi>j</mi> </msub> </mrow> </mfrac> <mo>.</mo> </mrow>
9. the method for evaluating an asphalt pavement damage condition according to claim 1, wherein the expression of the comprehensive weight in the step 7) is as follows:
<mrow> <msub> <mi>&amp;omega;</mi> <mi>i</mi> </msub> <mo>=</mo> <mfrac> <msqrt> <mrow> <msubsup> <mi>&amp;omega;</mi> <mi>i</mi> <mo>&amp;prime;</mo> </msubsup> <msubsup> <mi>&amp;omega;</mi> <mi>i</mi> <mrow> <mo>&amp;prime;</mo> <mo>&amp;prime;</mo> </mrow> </msubsup> </mrow> </msqrt> <mrow> <msubsup> <mi>&amp;Sigma;</mi> <mrow> <mi>i</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>n</mi> </msubsup> <msqrt> <mrow> <msubsup> <mi>&amp;omega;</mi> <mi>i</mi> <mo>&amp;prime;</mo> </msubsup> <msubsup> <mi>&amp;omega;</mi> <mi>i</mi> <mrow> <mo>&amp;prime;</mo> <mo>&amp;prime;</mo> </mrow> </msubsup> </mrow> </msqrt> </mrow> </mfrac> <mo>,</mo> <mrow> <mo>(</mo> <mi>i</mi> <mo>=</mo> <mn>1</mn> <mo>,</mo> <mn>2</mn> <mo>,</mo> <mo>...</mo> <mo>,</mo> <mi>n</mi> <mo>)</mo> </mrow> <mo>;</mo> </mrow>
wherein, omega'iThe attribute weight of the ith single index; omegai"is the rank weight of the ith single index, and n is the total number of indexes.
CN201710835031.2A 2017-09-15 2017-09-15 The evaluation method of Damages of Asphalt Road Surface situation Pending CN107818237A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201710835031.2A CN107818237A (en) 2017-09-15 2017-09-15 The evaluation method of Damages of Asphalt Road Surface situation

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201710835031.2A CN107818237A (en) 2017-09-15 2017-09-15 The evaluation method of Damages of Asphalt Road Surface situation

Publications (1)

Publication Number Publication Date
CN107818237A true CN107818237A (en) 2018-03-20

Family

ID=61607607

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201710835031.2A Pending CN107818237A (en) 2017-09-15 2017-09-15 The evaluation method of Damages of Asphalt Road Surface situation

Country Status (1)

Country Link
CN (1) CN107818237A (en)

Cited By (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110135734A (en) * 2019-05-16 2019-08-16 招商局重庆交通科研设计院有限公司 A kind of road structure military service condition low-dimensional evaluation method
CN110161078A (en) * 2019-05-13 2019-08-23 安徽建筑大学 A kind of detection and evaluation method of the infra-red inspection for Modified Bitumen Pavement
CN110221976A (en) * 2019-05-28 2019-09-10 广西电网有限责任公司电力科学研究院 A kind of measuring terminal software quality method for quantitatively evaluating based on measurement technology
CN110298139A (en) * 2019-07-11 2019-10-01 江苏中路工程技术研究院有限公司 A kind of asphalt pavement structure internal state method for quantitatively evaluating
CN110516827A (en) * 2019-08-30 2019-11-29 招商局重庆交通科研设计院有限公司 Damages of Asphalt Road Surface repairs evaluation method
CN110533327A (en) * 2019-08-30 2019-12-03 招商局重庆交通科研设计院有限公司 Breakage on cement concrete pavement repairs evaluation method
CN110777625A (en) * 2019-11-13 2020-02-11 招商局重庆交通科研设计院有限公司 Clustering dimension reduction evaluation method for service state of asphalt pavement
CN111062648A (en) * 2019-12-31 2020-04-24 长安大学 Method for evaluating comprehensive performance of asphalt pavement
CN112950020A (en) * 2021-03-01 2021-06-11 上海应用技术大学 Asphalt pavement comprehensive performance weight determination method based on modified analytic hierarchy process
CN114970102A (en) * 2022-04-25 2022-08-30 北京工业大学 Evaluation method for full-chain ecological design, construction and operation and maintenance of asphalt pavement
CN115909200A (en) * 2022-11-10 2023-04-04 无锡市德宁节能科技有限公司 City management method and system based on guardrail
CN117351044A (en) * 2023-11-23 2024-01-05 无锡市德宁节能科技有限公司 Guardrail environment monitoring method and system based on Internet of things
CN118112224A (en) * 2024-04-30 2024-05-31 东南大学 Pavement structure crack evaluation method based on combined assignment and fuzzy clustering

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103091480A (en) * 2013-01-07 2013-05-08 河北工业大学 Entropy weight-based underground road bituminous pavement service performance evaluation method
CN103268359A (en) * 2013-06-05 2013-08-28 周岚 Method and system for inquiring information of transverse cracks on expressway bituminous pavement
CN106056308A (en) * 2016-06-13 2016-10-26 宁波工程学院 Highway tunnel operation environment safety risk automatic judgment method

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103091480A (en) * 2013-01-07 2013-05-08 河北工业大学 Entropy weight-based underground road bituminous pavement service performance evaluation method
CN103268359A (en) * 2013-06-05 2013-08-28 周岚 Method and system for inquiring information of transverse cracks on expressway bituminous pavement
CN106056308A (en) * 2016-06-13 2016-10-26 宁波工程学院 Highway tunnel operation environment safety risk automatic judgment method

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
石忠利: "城市道路沥青路面使用性能评价与改建方案决策研究", 《中国优秀硕士学位论文全文数据库 工程科技II辑》 *

Cited By (20)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110161078B (en) * 2019-05-13 2021-09-10 安徽建筑大学 Detection and evaluation method for infrared flaw detection of modified asphalt pavement
CN110161078A (en) * 2019-05-13 2019-08-23 安徽建筑大学 A kind of detection and evaluation method of the infra-red inspection for Modified Bitumen Pavement
CN110135734A (en) * 2019-05-16 2019-08-16 招商局重庆交通科研设计院有限公司 A kind of road structure military service condition low-dimensional evaluation method
CN110221976A (en) * 2019-05-28 2019-09-10 广西电网有限责任公司电力科学研究院 A kind of measuring terminal software quality method for quantitatively evaluating based on measurement technology
CN110221976B (en) * 2019-05-28 2023-08-22 广西电网有限责任公司电力科学研究院 Quantitative evaluation method for quality of metering terminal software based on measurement technology
CN110298139A (en) * 2019-07-11 2019-10-01 江苏中路工程技术研究院有限公司 A kind of asphalt pavement structure internal state method for quantitatively evaluating
CN110298139B (en) * 2019-07-11 2023-05-16 江苏高速公路工程养护技术有限公司 Quantitative evaluation method for internal state of asphalt pavement structure
CN110533327A (en) * 2019-08-30 2019-12-03 招商局重庆交通科研设计院有限公司 Breakage on cement concrete pavement repairs evaluation method
CN110516827A (en) * 2019-08-30 2019-11-29 招商局重庆交通科研设计院有限公司 Damages of Asphalt Road Surface repairs evaluation method
CN110777625B (en) * 2019-11-13 2021-07-20 招商局重庆交通科研设计院有限公司 Clustering dimension reduction evaluation method for service state of asphalt pavement
CN110777625A (en) * 2019-11-13 2020-02-11 招商局重庆交通科研设计院有限公司 Clustering dimension reduction evaluation method for service state of asphalt pavement
CN111062648A (en) * 2019-12-31 2020-04-24 长安大学 Method for evaluating comprehensive performance of asphalt pavement
CN111062648B (en) * 2019-12-31 2023-10-27 长安大学 Evaluation method for comprehensive performance of asphalt pavement
CN112950020A (en) * 2021-03-01 2021-06-11 上海应用技术大学 Asphalt pavement comprehensive performance weight determination method based on modified analytic hierarchy process
CN114970102A (en) * 2022-04-25 2022-08-30 北京工业大学 Evaluation method for full-chain ecological design, construction and operation and maintenance of asphalt pavement
CN115909200A (en) * 2022-11-10 2023-04-04 无锡市德宁节能科技有限公司 City management method and system based on guardrail
CN115909200B (en) * 2022-11-10 2024-03-15 无锡市德宁节能科技有限公司 Urban management method and system based on guardrails
CN117351044A (en) * 2023-11-23 2024-01-05 无锡市德宁节能科技有限公司 Guardrail environment monitoring method and system based on Internet of things
CN117351044B (en) * 2023-11-23 2024-05-03 无锡市德宁节能科技有限公司 Guardrail environment monitoring method and system based on Internet of things
CN118112224A (en) * 2024-04-30 2024-05-31 东南大学 Pavement structure crack evaluation method based on combined assignment and fuzzy clustering

Similar Documents

Publication Publication Date Title
CN107818237A (en) The evaluation method of Damages of Asphalt Road Surface situation
Yu et al. A methodology for evaluating micro-surfacing treatment on asphalt pavement based on grey system models and grey rational degree theory
Thube Artificial neural network (ANN) based pavement deterioration models for low volume roads in India
Alharbi Predicting pavement performance utilizing artificial neural network (ANN) models
Dinegdae et al. Mechanics-based top-down fatigue cracking initiation prediction framework for asphalt pavements
CN109359770A (en) A kind of model and method based on machine learning prediction heatstroke generation
CN107230021A (en) The method of high frequency zone water supply network leakage region
Kheirati et al. Machine learning for developing a pavement condition index
CN107169289A (en) It is a kind of based on the Landslide Hazard Assessment method of optimal weights combination method can be opened up
CN104484724A (en) Extra-high voltage drop point plan optimal selection method based on cloud model
CN105205251A (en) Evaluation method for transformer electromagnetic design scheme
CN103646165A (en) Method for quantitatively judging yellow water quality
Luo et al. Effectiveness evaluation and influencing factor analysis of pavement seal coat treatments using random forests
CN116127378A (en) Highway tunnel lining service state evaluation method based on improved extension cloud model
CN116108998B (en) Expressway construction project carbon emission prediction method and system
CN114329748B (en) Safety evaluation method for composite lining structure of pipe gallery
CN104331613A (en) Multi-target and multi-attribute decision-making method
CN114997514A (en) Evaluation and prediction method for development degree of rammed earth site crack diseases
CN111222678A (en) Road surface technical condition prediction method
CN109978412A (en) Choose the evaluation method of validity in a kind of asphalt pavement conserving section
CN112241808A (en) Road surface technical condition prediction method, device, electronic equipment and storage medium
Vyas et al. A decision making framework for condition evaluation of airfield pavements using non-destructive testing
CN111160719A (en) Two-network fused multi-index evaluation method
CN114486571B (en) Pavement comprehensive performance evaluation method based on pavement service performance and structural performance
Sharma et al. A review of pavement condition rating models for flexible pavements

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
RJ01 Rejection of invention patent application after publication

Application publication date: 20180320

RJ01 Rejection of invention patent application after publication