CN115358457A - Asphalt pavement sustainable maintenance scheme optimization method - Google Patents
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Abstract
The invention relates to an optimization method of a sustainable maintenance scheme of an asphalt pavement, which belongs to the technical field of road engineering, and aims at solving the problems that the decision of the sustainable maintenance scheme of the asphalt pavement has strong subjectivity, the decision index can not be quantized and the like, and road surface service performance, environmental influence, economic cost and technical level models of the road surface maintenance scheme are respectively constructed from different angles of the maintenance scheme; and finally, introducing a material element analysis method, carrying out optimal sequencing on the asphalt pavement maintenance schemes, and obtaining the optimal solution of the asphalt pavement sustainable maintenance scheme. The invention provides a novel method capable of reducing subjective influence and comprehensively considering multi-attribute decision, and provides a scientific calculation method and a novel idea for optimizing a sustainable maintenance scheme of an asphalt pavement.
Description
Technical Field
The invention relates to an optimization method for a sustainable maintenance scheme of an asphalt pavement, and belongs to the technical field of road engineering.
Background
According to statistics, the total highway mileage at the end of 2021 year in the whole country is 528.07 kilometres, which is 8.26 kilometres more than that at the end of the last year, and the total highway maintenance mileage reaches 525.16 kilometres, which accounts for 99.4 percent of the total highway mileage. While the highway industry is rapidly developed, the problems of resource exhaustion, climate change, environmental pollution and the like are increasingly attracting people's attention, and green sustainable development is becoming a new trend and trend of the times. The road infrastructure is used as the foundation and life line of national economic development, and has no doubt of large resource occupation and energy consumption households. The asphalt pavement is used as a key project with large investment, large energy consumption and large environmental influence in highway infrastructure, and is also a main pavement mode of roads of various grades in China. The service performance of the asphalt pavement can be gradually reduced under the action of vehicle load and external environment until the pavement is subjected to major and middle repair. In order to ensure the comfort and safety of road users, the maintenance of the asphalt pavement is required regularly. The specific maintenance and repair scheme is designed according to the road surface disease detection result and the experience of an engineer, and then a plurality of maintenance and repair schemes are determined according to the constraint conditions such as engineering attribute requirements, plan cost and expected effect. The decision process of the existing scheme optimization method is more dependent on personal experience of engineers, and a better effect is achieved in many places, but the method is not based on a set of scientific and reasonable optimization method, so that the implemented maintenance and repair scheme is not necessarily the optimal scheme.
The following problems are specifically present: 1) A comprehensive scheme comparison system is lacking. Most of the existing scheme comparison and selection systems pursue basic road performance according to own experience of engineers, and lack comprehensive consideration on environmental, economic and technical standards; 2) There is a lack of scientific selection methods. In actual engineering, various factors such as the influence of a scheme on the environment, economic cost budget, technical level of the scheme, traffic load and the like are always considered, but no scientific optimization method is available for scheme decision. Therefore, an optimization method considering comprehensive, scientific and reasonable sustainable maintenance schemes of the asphalt pavement of the highway is lacked at present.
In view of this, in order to reduce more subjective and uncertain factor influences and improve the maximum value of the maintenance scheme when the schemes are compared and selected, it is urgently needed to provide an optimization method of the sustainable maintenance scheme of the asphalt pavement, which can consider multiple objectives at the same time and preferably select the optimal scheme from multiple schemes.
Disclosure of Invention
The invention aims to provide a novel method for optimizing a sustainable maintenance scheme of an asphalt pavement. The method comprehensively considers the pavement service performance, environmental influence, economic cost investment and technical construction level, and establishes a decision process of a sustainable maintenance scheme of the asphalt pavement; the method can solve the problems that the decision has strong subjectivity, the decision index cannot be quantized and the like, and realizes the comprehensive evaluation of the maintenance scheme from different angles of the maintenance scheme, thereby determining the sustainable asphalt pavement maintenance scheme.
In order to achieve the purpose, the technical scheme of the invention is as follows:
an optimization method of a sustainable maintenance scheme of an asphalt pavement comprises the following steps:
s1, constructing a pavement service performance model of a sustainable maintenance scheme of the asphalt pavement, wherein the pavement service performance model comprises comprehensive consideration of pavement damage (PCI), road flatness (RQI), structural strength (PSSI), anti-skid performance (SRI), road track (RDI), pavement jump (PBI), pavement construction depth (PWI) and the like;
s2, constructing an environment influence model of the sustainable maintenance scheme of the asphalt pavement, considering raw material consumption, construction activities and air pollutant discharge amount generated by traffic delay of different maintenance schemes, and calculating CO 2 、CO、NO 2 、SO 2 And PM 10 And the discharge amount of common air pollutants;
s3, constructing an economic expense model of the asphalt pavement sustainable maintenance scheme, wherein the economic expense model comprises the cost for treating roadbed diseases, the cost for additionally paving a pavement structure layer, the cost of construction machinery, the labor cost and the later maintenance cost;
s4, constructing a technical level model of the sustainable maintenance scheme of the asphalt pavement, wherein the technical level model only considers the service life of the technology;
s5, collecting the relative importance of the targets such as the service performance, the environmental impact, the economic cost, the technical level and the like of the pavement by using a Delphi method;
s6, according to the collected relative importance results, acquiring the weight of the asphalt pavement sustainable maintenance scheme about the 4 targets by adopting an analytic hierarchy process
And S7, introducing an object element analysis model to comprehensively evaluate the existing schemes, and finally comparing the comprehensive evaluation indexes of the schemes to preferably select the optimal scheme for maintaining the asphalt pavement.
The pavement service performance index PQI of the asphalt pavement sustainable maintenance scheme in the step S1 is as follows: z is a linear or branched member PQI ＝w PCI PCI+w RQI RQI+w RDI RDI+w PSSI PSSI+w MPD MPD+w PBI PBI+w SRI SRI
In the formula: w is a PCI Weight, w, to evaluate structural integrity RQI To evaluateWeight, w, of road comfort PSSI Weight, w, for evaluating the load-bearing capacity of a road structure SRI Weight, w, for evaluating road safety RDI For evaluating the rutting weight, w, of an asphalt pavement PBI For evaluating the weight, w, of a road trip PWI To evaluate the weight of the road wear; PCI is a road surface damage condition index, RQI is a road surface running quality index, PSSI is a road surface structural strength index, SRI is an anti-skid performance index, RDI is a road surface rut depth index, PBI is a road surface jumping index, and PWI is a road surface abrasion index.
The total air pollutant discharge amount in the major and medium maintenance process in the step S2 is as follows:
min Z 2 ＝E mc +E sg +E td
in the formula: z 1 The minimum value of the air pollutant discharge amount; e mc Materializing air pollutant discharge amount for material, E sg All air pollutant discharge amounts related to a raw material production stage, a material transportation stage, a mixing stage, a paving stage and a rolling and curing stage are calculated; e td The air pollutant discharge amount generated by traffic delay;
the formula of the cost in the major and middle repair activities in the step S3 is as follows:
minZ 3 ＝BC+OC+MC+HC
in the formula: BC is the cost for treating roadbed diseases; OC is the cost of laying different structural layers in each maintenance scheme; MC is construction equipment and labor cost in each maintenance scheme; HC is the cost required by each maintenance scheme in the operation stage;
the technical level of the scheme in the step S4 mainly refers to a construction team to master the construction technical age.
The optimization method is also suitable for cement concrete pavements and sand stone pavements; in the optimal sustainable maintenance scheme of the cement concrete pavement, the pavement service performance model only comprises pavement damage (PCI), pavement flatness (RQI), structural strength (PSSI) and anti-skid performance (SRI); in the sandstone pavement sustainable maintenance scheme optimization, the pavement service performance model only comprises pavement damage (PCI); when a sustainable maintenance scheme pavement service performance model is constructed, if one item does not participate in consideration, the weight is 0;
the main purpose of the Delphi method in the step S5 is to systematically and systematically collect the opinions of each interviewee through an organization interaction process under a relatively discrete background; the interviewed population comprises a road management department, research experts and road users, 3 people of each population and 9 people of each population independently complete questionnaires respectively; the results of the questionnaire will be used in the S6 mesoanalysis;
preferably, the step S6 specifically includes:
s601: establishing a judgment matrix A according to the relative importance degree of the sustainability evaluation indexes obtained by the Delphi method in the step S5:
in the formula, a j Representing a relative weight of a jth sustainability assessment model; a is m /a j Representing the relative weight of the mth sustainability evaluation model and the jth sustainability evaluation model;
s602: calculating a consistency index CI:
in the formula of lambda max The maximum eigenvalue of the decision matrix is A1, m is the number of sustainability evaluation models considered by the decision matrix,
s603: calculating a consistency ratio CR, and judging consistency:
in the formula, CI is a consistency index; RI is an average random consistency index; and judging whether the consistency ratio CR is less than 0.1, if so, the weight coefficient is effective and the consistency check is passed, and if not, the consistency check is not passed.
S604: and (4) solving the maximum eigenvector of the judgment matrix A and carrying out standardization processing to obtain the subjective weight of each model.
Preferably, S7 specifically includes:
s701: determining a classical matter element:
in the formula N 0j For the j th asphalt pavement sustainability evaluation model grade, j =1 indicates that the evaluation model grade is "excellent", j =2 indicates that the evaluation model grade is "good", j =3 indicates that the evaluation model grade is "medium", j =4 indicates that the evaluation model grade is "inferior", and j =5 indicates that the evaluation model grade is "poor" for the asphalt pavement; c i Representing a sustainable maintenance scheme N of an asphalt pavement 0j The characteristic models of (1) and (4) respectively represent four sustainability characteristic models of road surface service performance, environmental impact, economic cost, technical level and the like; x is the number of 0ji Are respectively N 0j With respect to C i The specified magnitude range, namely the value range (classical domain) obtained by each maintenance scheme sustainability characteristic model level relative to the corresponding characteristic model.
S702: determining a section domain:
wherein P represents the whole of the evaluation model grades of the sustainable maintenance scheme of the asphalt pavement, C i Characteristic model, x, representing a sustainable maintenance scheme of an asphalt pavement pi Is P about C i Range of values, x, obtained pi The value range should include x 0ji Magnitude range of different grades of sustainable maintenance scheme evaluation model
S703: determining the matter element to be evaluated:
for evaluating the model grade of the asphalt pavement sustainable maintenance scheme, the detected data can be divided intoThe result of the analysis is represented by the element R 0 And (4) representing the grade of the element to be evaluated, which is called as the sustainable maintenance scheme of the asphalt pavement. In the formula P 0 Represents the evaluation grade, x, of the sustainable maintenance scheme of the asphalt pavement i Represents P 0 With respect to C i The evaluation index of the sustainable maintenance scheme of the asphalt pavement is evaluated according to the evaluation index of the sustainable maintenance scheme (the service performance, the environmental impact, the economic cost and the technical level of the pavement) to be evaluated.
S704: determining the relevance of the sustainable maintenance scheme to be evaluated to different model grades:
the relevance of the evaluation indexes of the sustainable maintenance scheme of the asphalt pavement to be evaluated to different sustainability evaluation index grades is as follows.
K j (x i ) =0.5 when x i ＝a pj Or b pj ；
In the formula: k j (x i ) The relevance of the ith sustainability evaluation index relative to the jth level in the asphalt pavement sustainability maintenance scheme is represented, the relevance is the measurement of relevance between objects and between factors, namely the relevance is judged according to the similarity of continuous or discrete series curves of the objects or the factors, and if the shapes of the two curves are similar (or the change trends of the two factors are similar and close), the relevance is high; otherwise, the degree of association is small;
s705: calculating a comprehensive evaluation index of the sustainable maintenance scheme of the asphalt pavement:
s706: comparing comprehensive evaluation indexes of different maintenance schemes to select an optimal scheme;
in step S7, the number of the model grades of the asphalt pavement sustainability evaluation models in step S1 is the same, but the value range of each evaluation model is determined according to the properties of the evaluation model.
Compared with the prior art, the invention has the beneficial effects that:
the invention relates to an optimization method of a sustainable maintenance scheme of an asphalt pavement, which solves the problems that in the decision process of a maintenance scheme of a road asphalt pavement for major and medium maintenance, economic benefit, road performance, construction technical level and other factors are pursued on the pavement, the influence of the maintenance scheme for major and medium maintenance on the environment is neglected, and decision is made only by the subjective experience of an engineer. The method disclosed by the invention can combine the service performance, the environmental influence, the economic cost and the construction technical level of the pavement, effectively solve the contradiction problem in the reality of the four aspects, ensure the independence of the aspects and play the coordination effect of the four aspects. The optimization method has dynamic property and openness, and the model can be balanced by adjusting the evaluation index, the classical domain and the nodal domain, so that road maintenance workers can improve and perfect according to the requirements of actual conditions, and the optimal asphalt pavement is effectively selected for the sustainable maintenance scheme.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the embodiments or the description of the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a flow chart of a preferred method for maintaining a sustainable maintenance schedule of an asphalt pavement according to the present invention;
FIG. 2 is a specific evaluation model of the preferred method of the present invention for the sustainable maintenance of asphalt pavement;
Detailed Description
The present invention will be explained below by taking the decision of the maintenance scheme from Shimen Zizhuki to Shiling section of the Qingdao line of national origin as an example.
The range of the trunk road pile number is K132+ 123-K166 +412, the average annual daily traffic volume is 12934vpd, the table 1 shows that the pile number and the road surface structure which need maintenance and repair, the current maintenance road section is K132+12-K136+934, and the total maintenance mileage is 4811m.
TABLE 1 summary of road surface structure layers of the Qing-dot line section of the national road
After pavement disease detection, core drilling sampling and scheme technical level detection and investigation are carried out on a certain line of the national road green, the following four alternative maintenance schemes are finally selected: 1) Milling 9cm, paving 5 cm of AC-20 medium-grain asphalt concrete, and paving 4 cm of ESMA-13 asphalt mastic macadam (M & O); 2) Milling 9cm, paving a 5 cm lower surface layer doped with 20% regenerated asphalt, and paving 4 cm ESMA-13 asphalt mastic macadam (M & O + RAP); 3) Paving a 12 cm full-depth type foamed asphalt cold regeneration base layer, 5 cm AC-20 medium grain type concrete and a 4 cm ESMA-13 asphalt mastic macadam upper surface layer (CIR); 4) Paving a 12 cm full-depth type foamed asphalt cold regeneration base layer, a 5 cm lower surface layer doped with 20% regenerated asphalt and a 4 cm upper surface layer (CIR + RAP) of ESMA-13 asphalt mastic macadam.
S1, constructing a pavement service performance model of a sustainable maintenance scheme of the asphalt pavement, wherein the pavement service performance model comprises pavement damage (PCI) and pavement flatnessComprehensive consideration such as integrity (RQI), structural strength (PSSI), skid Resistance (SRI), road track (RDI), road surface bump (PBI), road surface structure depth (PWI) and the like; because of the practical requirements of the project, the influence of the road surface damage, the road flatness, the skid resistance and the road rutting is emphatically considered in the aspect of the road surface use performance, and w is respectively taken PCI ＝0.3、w RQI ＝0.3、w PSSI ＝0.3、w SRI Specific data are shown in table 2.
TABLE 2 summary of road service performance models for maintenance schemes for the Qing-dot line section of the national road
| Maintenance scheme | Damage to road surface | Road flatness | Anti-skid property | Road rut | Z PQI |
| M&O | 86 | 92 | 75 | 91 | 88.2 |
| M&O+RAP | 75 | 85 | 70 | 87 | 81.1 |
| CIR | 92 | 93 | 85 | 92 | 91.6 |
| CIR+RAP | 83 | 87 | 82 | 85 | 84.7 |
S2, constructing an environment influence model of the sustainable maintenance scheme of the asphalt pavement, considering raw material consumption of different maintenance schemes, construction activities and air pollutant emission generated by traffic delay, and calculating CO 2 、CO、NO 2 、SO 2 And PM 10 And the like, and the emission amount of common air pollutants. The total air pollutant discharge amount in the major and middle repair processes is as follows:
minZ 2 ＝E mc +E sg +E td
in the formula: z is a linear or branched member 1 The minimum value of the air pollutant discharge amount; e mc Materializing air pollutant discharge amount for material, E sg All air pollutant discharge related to a raw material production stage, a material transportation stage, a mixing stage, a paving stage and a rolling and curing stage; e td The air pollutant discharge amount caused by traffic delay is not considered due to the lack of traffic data, and only CO is considered 2 The specific emission results are shown in Table 3.
TABLE 3 maintenance scheme CO for the green part of the national institute 2 Air pollution discharge sinkTotal (kg. T) -1 )
| Maintenance scheme | E mc | E sg | Z 2 |
| M&O | 13 | 7 | 20 |
| M&O+RAP | 10 | 8 | 18 |
| CIR | 11 | 6 | 17 |
| CIR+RAP | 9 | 5 | 14 |
And S3, constructing an economic expense model of the asphalt pavement sustainable maintenance scheme, wherein the economic expense model comprises the cost of treating roadbed diseases, the cost of additionally paving a pavement structure layer, the cost of construction machinery, the labor cost and the later maintenance cost.
The economic cost comprises the cost for treating roadbed diseases and the cost for additionally paving a pavement structure layer, and in the four maintenance schemes, M & O and M & O + RAP need to treat the roadbed diseases, because the two schemes are additionally paved on the basis of the old roadbed; and the two schemes of CIR and CIR + RAP are used for excavating and paving the roadbed with new roadbed, so that the cost for treating the diseases does not need to be calculated, and the cost such as traffic facilities, traffic marking lines and the like which are irrelevant to the maintenance scheme is not added in the scheme, and in conclusion, the formula of the cost in the major and medium repair activities is as follows:
minZ 3 ＝BC+OC+MC+HC
in the formula: BC is the cost for treating roadbed diseases; OC is the cost of laying different structural layers in each maintenance scheme; MC is the construction equipment and labor cost in each maintenance scheme.
The following table 4 shows the cost conditions corresponding to different maintenance measures in each scheme, which is summarized as follows:
TABLE 4 construction cost of structural layer for different maintenance schemes
And S4, constructing a technical level model of the sustainable maintenance scheme of the asphalt pavement, wherein the technical level model only considers the service life of the technology, and the specific data are shown in a table 5.
TABLE 5 technical service life of different maintenance schemes
| Maintenance scheme | M&O | M&O+RAP | CIR | CIR+RAP |
| Technical service life (years) | 12 | 9 | 4 | 1 |
S5, randomly drawing a road management department, research experts and road users at the site of a project, collecting data of relative importance of targets such as road use performance, environmental influence, economic cost, technical level and the like by 3 people and 9 people in each group, and evaluating 4 evaluation models by referring to a table 6 when comparing two evaluation models, wherein the results are 1, 4, 5 and 3 after the collected results are averaged.
TABLE 6 Scale of stages
| Scale | Description of the invention |
| 1 | Comparison of the two models, equally important |
| 3 | The two models are compared, one model being slightly more important than the other |
| 5 | Comparing the two models, one model is significantly more important than the other |
| 7 | The two models are compared, one model being much more important than the other |
| 9 | Comparing the two models, one model is extremely important than the other |
| 2、4、6、8 | Removing the median value of the above two adjacent judgments |
S6, according to the relative importance results collected by the step S5, acquiring the weight of the asphalt pavement sustainable maintenance scheme about the 4 targets by adopting an analytic hierarchy process
S601: now, establishing a judgment matrix A:
s602: calculating a consistency index CI:
s603: the consistency ratio CR was calculated, the RI values were taken from table 7, and consistency determinations were made:
TABLE 7 average random consistency index RI values
| n | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 |
| RI | 0 | 0 | 0.52 | 0.89 | 1.12 | 1.26 | 1.36 | 1.41 |
Where CR is less than 0.1, the weighting factor is valid and the consistency check passes.
S604: the maximum eigenvector is obtained from the judgment matrix A and is subjected to standardization processing to obtain the subjective weight of each index, and the calculation result is shown in Table 8.
TABLE 8 weight of each model
| Evaluation model | 1 | 2 | 3 | 4 |
| w | 0.532 | 0.128 | 0.083 | 0.257 |
And S7, introducing an object element analysis model to comprehensively evaluate the existing scheme, wherein the data is shown in a table 9.
TABLE 9 this data to be evaluated
Determining classical matter elements and section domains:
the sustainable maintenance scheme of the asphalt pavement is preferably divided into five grades, namely excellent, good, medium, secondary and poor, and a classical domain and a section domain are determined according to respective value ranges of evaluation models of the sustainable maintenance scheme of the asphalt pavement:
in order to consider actual practical problems, the most value b of the environmental impact model and the economic expense model is calculated in actual 5n = + ∞ to 100 and 100000.
Determining the relevance of the sustainable maintenance scheme to be evaluated to different model grades, and adopting the following calculation formula:
K j (x i ) =0.5, when x i ＝a pj Or b pj ；
S705: and (3) calculating a comprehensive evaluation index of the sustainable maintenance scheme of the asphalt pavement, wherein the weight is shown in a table 8, and the calculation result is shown in a table 10:
TABLE 10 comprehensive evaluation index
| Scheme(s) | Superior food | Good quality | In (1) | Then | Difference (D) |
| M&O | -0.127 | -0.194 | -0.202 | -0.571 | -0.665 |
| M&O+RAP | -0.356 | 0.017 | -0.071 | -0.482 | -0.605 |
| CIR | -0.718 | -0.427 | -0.425 | -0.449 | -0.677 |
| CIR+RAP | -0.338 | -0.201 | -0.484 | -0.595 | -0.412 |
S706: comparing the comprehensive evaluation indexes of different maintenance schemes, selecting four schemes according to the table 10, and comprehensively considering the priority of the road use performance, the environmental influence, the economic cost and the construction technical level, and finding out that the evaluation value of M & O 'excellent' is the largest, the evaluation value of M & O + RAP 'excellent' is the largest, the evaluation value of CIR 'middle' is the largest, and the evaluation value of CIR + RAP 'excellent' is the largest through analysis. Considering that the evaluation values of M & O + RAP and CIR + RAP are both good, the correlation degree of M & O + RAP is 0.017, and the correlation degree of CIR + RAP is-0.201. Thus, the final order is M & O, M & O + RAP, CIR.
Nothing in this specification is said to apply to the prior art.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (6)
1. An optimization method of a sustainable maintenance scheme of an asphalt pavement is characterized by comprising the following steps: the method comprises the following steps:
s1, constructing a pavement service performance model of a sustainable maintenance scheme of the asphalt pavement, wherein the pavement service performance model comprises comprehensive consideration of pavement damage, pavement flatness, structural strength, skid resistance, road rutting, pavement jumping and pavement structural depth;
s2, constructing an environment influence model of the sustainable maintenance scheme of the asphalt pavement, considering raw material consumption, construction activities and air pollutant discharge amount generated by traffic delay of different maintenance schemes, and calculating CO 2 、CO、NO 2 、SO 2 And PM 10 The discharge amount of common air pollutants;
s3, constructing an economic expense model of the sustainable maintenance scheme of the asphalt pavement, wherein the economic expense model comprises the cost of treating roadbed diseases, the cost of additionally paving a pavement structure layer, the cost of construction machinery, the labor cost and the later maintenance cost;
s4, constructing a technical level model of the sustainable maintenance scheme of the asphalt pavement, wherein the technical level model considers the service life of the technology;
s5, collecting the relative importance of the pavement service performance, the environmental impact, the economic cost and the technical level target by using a Delphi method;
s6, according to the collected relative importance results, adopting an analytic hierarchy process to obtain the weight of the sustainable maintenance scheme of the asphalt pavement on the pavement service performance, the environmental impact, the economic cost and the technical level target
And S7, introducing a matter element analysis model to comprehensively evaluate the existing schemes, and finally comparing the comprehensive evaluation indexes of the schemes to preferably select the optimal scheme for maintaining the asphalt pavement.
2. The method of optimizing a sustainable maintenance profile for asphalt pavement as set forth in claim 1, wherein: the road use performance index PQI in the S1 is as follows:
Z PQI ＝w PCI PCI+w RQI RQI+w RDI RDI+w PSSI PSSI+w MPD MPD+w PBI PBI+w SRI SRI
in the formula: w is a PCI To evaluate the weight of structural integrity, w RQI Weight for evaluating road comfort, w PSSI To evaluate the weight of the load-bearing capacity of the road structure, w SRI Weight for evaluating road safety, w RDI For evaluating the rutting weight of an asphalt pavement, w PBI For evaluating the weight of a road jump, w PWI To evaluate the weight of the road wear; PCI is the road surface damage condition index, RQI is the road surface running quality index, PSSI is the road surface structural strength index, SRI is the anti-skid performance index, RDI is the road surface track depth index, PBI is the road surface jump index, PWI is the road surface abrasion index.
3. The method for optimizing a road major repair and overhaul asphalt pavement maintenance scheme according to claim 1, wherein the method comprises the following steps: and the total discharge amount of air pollutants in the S2 is as follows:
min Z 2 ＝E mc +E sg +E td
in the formula: z 1 The minimum value of the air pollutant discharge amount; e mc Materializing air pollutant discharge amount for material E sg All air pollutant discharge amounts related to a raw material production stage, a material transportation stage, a mixing stage, a paving stage and a rolling and curing stage are calculated; e td Is the amount of air pollutant emissions resulting from traffic delays.
4. The method for optimizing a road major repair and overhaul asphalt pavement maintenance scheme according to claim 1, wherein the method comprises the following steps: the formula of the economic cost model in S3 is as follows:
minZ 3 ＝BC+OC+MC+HC
in the formula: BC is the cost for treating roadbed diseases; OC is the cost of laying different structural layers in each maintenance scheme; MC is the construction equipment and labor cost in each maintenance scheme; the HC is the cost required for each maintenance regimen during the operational phase.
5. The method of optimizing a sustainable maintenance profile for asphalt pavement as set forth in claim 1, wherein: the S6 specifically includes:
s601: establishing a judgment matrix A according to the relative importance degree of the sustainability evaluation indexes obtained by the Delphi method in the step S5:
in the formula, a j Representing a relative weight of a jth sustainability evaluation model; a is m /a j Representing the relative weight of the mth sustainability evaluation model and the jth sustainability evaluation model;
s602: calculating a consistency index CI:
in the formula, λ max The maximum eigenvalue of the decision matrix is A1, m is the number of sustainability evaluation models considered by the decision matrix,
s603: calculating a consistency ratio CR, and judging consistency:
in the formula, CI is a consistency index; RI is an average random consistency index; judging whether the consistency ratio CR is less than 0.1, if so, the weight coefficient is effective and the consistency check is passed, if not, the consistency check is not passed,
s604: and (4) solving the maximum eigenvector of the judgment matrix A and carrying out standardization processing to obtain the subjective weight of each model.
6. The method for optimizing the sustainable maintenance scheme of the asphalt pavement according to claim 1, wherein: the S7 specifically includes:
s701: determining a classical matter element:
in the formula N 0j For the j th asphalt pavement sustainability evaluation model grade, j =1 indicates that the evaluation model grade is "excellent", j =2 indicates that the evaluation model grade is "good", j =3 indicates that the evaluation model grade is "medium", j =4 indicates that the evaluation model grade is "inferior", and j =5 indicates that the evaluation model grade is "poor", for the asphalt pavement; c i Representing a sustainable maintenance scheme N of an asphalt pavement 0j The characteristic models of (1) and (4) respectively represent four sustainability characteristic models of pavement service performance, environmental impact, economic cost and technical level; x is a radical of a fluorine atom 0ji Are respectively N 0j With respect to C i The specified magnitude range, i.e. the value range obtained by each maintenance scenario sustainability feature model level with respect to the corresponding feature model,
s702: determining a section domain:
wherein P represents the whole of the evaluation model grades of the sustainable maintenance scheme of the asphalt pavement, C i Characteristic model, x, representing a sustainable maintenance scheme of an asphalt pavement pi Is P about C i Range of values, x, obtained pi The value range should include x 0ji The magnitude ranges of different grades of the sustainable maintenance scheme evaluation model,
s703: determining the matter element to be evaluated:
for the evaluation model grade of the asphalt pavement sustainable maintenance scheme, the detected data or the analysis result is used as a material element R 0 Represents the grade of the element to be evaluated called as the sustainable maintenance scheme of the asphalt pavement, wherein P 0 Represents the evaluation grade, x, of the sustainable maintenance scheme of the asphalt pavement i Represents P 0 With respect to C i The value of the asphalt pavement sustainable maintenance scheme to be evaluated is specific data obtained by evaluating the evaluation index of the asphalt pavement sustainable maintenance scheme to be evaluated,
s704: determining the relevance of the sustainable maintenance scheme to be assessed to different model grades:
the relevance of the evaluation indexes of the sustainable maintenance scheme of the asphalt pavement to be evaluated to different sustainability evaluation index grades is as follows,
K j (x i ) =0.5, when x i ＝a pj Or b pj ；
In the formula: k j (x i ) The relevance degree of the ith sustainability evaluation index in the sustainable maintenance scheme of the asphalt pavement is related to the jth level, the relevance degree is the measurement of relevance between objects and between factors, namely the relevance degree is judged according to the similarity degree of continuous or discrete series curves of the objects or the factors, and if the shapes of the two curves are similar, the relevance degree is high; otherwise, the degree of association is small;
s705: calculating a final comprehensive evaluation index of the sustainable maintenance scheme of the asphalt pavement:
s706: and comparing the comprehensive evaluation indexes of different maintenance schemes to select an optimal scheme.
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| CN116910875A (en) * | 2023-07-26 | 2023-10-20 | 北京工业大学 | Asphalt pavement full life cycle maintenance planning method considering ecological benefits |
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| CN116430020B (en) * | 2023-06-07 | 2023-10-24 | 北京工业大学 | Asphalt-based material ecological performance evaluation method |
| CN116910875A (en) * | 2023-07-26 | 2023-10-20 | 北京工业大学 | Asphalt pavement full life cycle maintenance planning method considering ecological benefits |
| CN116910875B (en) * | 2023-07-26 | 2024-03-01 | 北京工业大学 | Asphalt pavement full life cycle maintenance planning method considering ecological benefits |
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