CN114969926B - Optimization method of long-service-life pavement structure - Google Patents
Optimization method of long-service-life pavement structure Download PDFInfo
- Publication number
- CN114969926B CN114969926B CN202210596666.2A CN202210596666A CN114969926B CN 114969926 B CN114969926 B CN 114969926B CN 202210596666 A CN202210596666 A CN 202210596666A CN 114969926 B CN114969926 B CN 114969926B
- Authority
- CN
- China
- Prior art keywords
- pavement structure
- long
- ith
- road
- life
- 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.)
- Active
Links
- 238000000034 method Methods 0.000 title claims abstract description 42
- 238000005457 optimization Methods 0.000 title claims abstract description 12
- 239000011159 matrix material Substances 0.000 claims abstract description 24
- 238000013461 design Methods 0.000 claims abstract description 19
- 239000000463 material Substances 0.000 claims abstract description 10
- 230000007613 environmental effect Effects 0.000 claims abstract description 8
- 239000002689 soil Substances 0.000 claims abstract description 8
- 238000012545 processing Methods 0.000 claims abstract description 6
- 239000010426 asphalt Substances 0.000 claims description 27
- 239000000203 mixture Substances 0.000 claims description 9
- 238000005336 cracking Methods 0.000 claims description 6
- 238000011156 evaluation Methods 0.000 claims description 6
- 238000010606 normalization Methods 0.000 claims description 4
- 230000008569 process Effects 0.000 claims description 2
- 238000010998 test method Methods 0.000 claims description 2
- 238000012795 verification Methods 0.000 claims 1
- 230000002035 prolonged effect Effects 0.000 abstract description 2
- 238000012423 maintenance Methods 0.000 description 4
- 230000004044 response Effects 0.000 description 4
- 238000012360 testing method Methods 0.000 description 3
- 230000009471 action Effects 0.000 description 2
- 239000004567 concrete Substances 0.000 description 2
- 230000004075 alteration Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 239000002131 composite material Substances 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 201000010099 disease Diseases 0.000 description 1
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000005484 gravity Effects 0.000 description 1
- 238000011835 investigation Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000007781 pre-processing Methods 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 238000005070 sampling Methods 0.000 description 1
- 238000004062 sedimentation Methods 0.000 description 1
- 238000010187 selection method Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 238000013316 zoning Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/10—Geometric CAD
- G06F30/13—Architectural design, e.g. computer-aided architectural design [CAAD] related to design of buildings, bridges, landscapes, production plants or roads
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
- G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2119/00—Details relating to the type or aim of the analysis or the optimisation
- G06F2119/04—Ageing analysis or optimisation against ageing
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T10/00—Road transport of goods or passengers
- Y02T10/10—Internal combustion engine [ICE] based vehicles
- Y02T10/40—Engine management systems
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Theoretical Computer Science (AREA)
- Geometry (AREA)
- General Physics & Mathematics (AREA)
- Computer Hardware Design (AREA)
- Educational Administration (AREA)
- Strategic Management (AREA)
- Evolutionary Computation (AREA)
- General Engineering & Computer Science (AREA)
- Entrepreneurship & Innovation (AREA)
- Economics (AREA)
- Development Economics (AREA)
- General Business, Economics & Management (AREA)
- Tourism & Hospitality (AREA)
- Quality & Reliability (AREA)
- Operations Research (AREA)
- Marketing (AREA)
- Game Theory and Decision Science (AREA)
- Architecture (AREA)
- Civil Engineering (AREA)
- Structural Engineering (AREA)
- Computational Mathematics (AREA)
- Mathematical Analysis (AREA)
- Mathematical Optimization (AREA)
- Pure & Applied Mathematics (AREA)
- Road Paving Structures (AREA)
- Road Repair (AREA)
Abstract
The invention belongs to the technical field of road engineering, and relates to a long-life pavement structure optimization method, which mainly comprises the following steps: firstly, designing a plurality of long-life pavement structures according to traffic parameters, environmental factors, soil base conditions and material characteristic factors; checking the primary pavement structure by kenpave software; step three, carrying out standardization processing, and converting the decision matrix X into a standardized decision matrix Y; step four, respectively weighting the ith index by adopting an entropy weight method and a variation coefficient method according to the standardized decision matrix Y; and fifthly, combining weights to determine weights, multiplying the weights obtained by combining weights by a standardized decision matrix Y to obtain final balance degree scores, and selecting a pavement structure according to the size of the final balance degree scores. With the method, the pavement structure with the best pavement performance can be optimized in the design of the long-service-life pavement structure, so that the service life of the long-service-life pavement is prolonged.
Description
Technical Field
The invention belongs to the technical field of road engineering, and relates to a long-life pavement structure optimization method.
Background
The road and road maintenance market is huge, the maintenance volume and maintenance cost are high, so the research of the low maintenance long-life road has important promotion effect on improving traffic construction and urban high-quality development.
The common structural forms of the long-life pavement mainly comprise a full-thickness asphalt pavement structure, a semi-rigid base pavement structure, a flexible base pavement structure and a combined asphalt pavement structure. In the design of long-life pavement structures, various pavement structures often exist, and the design indexes specified in the asphalt pavement design Specification (JTG D50-2017) can be met. After the pavement structure meets the specified design index, a decision maker generally determines the importance degree of each performance index according to own experience, and selects the optimal pavement structure from the importance degree. The adoption of the empirical judgment mode has larger randomness, and can cause slightly poor accuracy and reliability.
The road performance of long-life road surface can be influenced by the performance indexes such as the permanent deformation quantity, fatigue property, compressive strain at the top of roadbed and the like of the road surface structure, so how to scientifically select a long-life road surface structure with optimal road performance from different road surface structures is a complex comprehensive problem. In order to give consideration to the performance indexes such as the permanent deformation, fatigue property, roadbed top compressive strain and the like of the pavement structure, the patent discloses a long-service-life pavement structure optimization method.
Disclosure of Invention
The invention aims to provide a long-life pavement structure optimization method, which takes performance indexes such as asphalt mixture permanent deformation, asphalt mixture layer fatigue cracking, roadbed top compressive strain and the like of a pavement structure as evaluation indexes under the condition that the pavement structure meets design indexes set forth in specifications, adopts a balance thought, and selects an optimal pavement structure from the evaluation indexes.
The technical scheme of the invention is as follows:
the invention provides a long-life pavement structure optimization method, which comprises the following steps:
Firstly, designing a plurality of long-life pavement structures according to traffic parameters, environmental factors, soil base conditions and material characteristic factors;
checking the primary pavement structure by kenpave software;
Thirdly, according to the indoor test method specified by the existing specifications and regulations, N performance indexes of M pavement structure schemes are respectively obtained to form a decision matrix X, and standardized processing is carried out to convert the decision matrix X into a standardized decision matrix Y;
Pavement structure scheme set: w= { W 1,W2,…,Wn }; road performance index set: v= { V 1,V2,…,Vn }
Wherein: i represents an ith road performance index, j represents a jth road structure scheme, m represents the number of primary road structures, and n represents the number of road performance indexes used;
normalization process, converting decision matrix X into normalized decision matrix Y
yi"j＝max{xij}-xij
Wherein: y i'j' is a reverse index, and y ij is a standardized road performance index;
step four, respectively weighting the ith performance index by adopting an entropy weighting method and a variation coefficient method according to the standardized decision matrix y;
firstly, weighting an ith index by adopting an entropy weighting method
If f ij =0, f ijlnfij =0
Wherein: f ij is the proportion of the ith road performance index in the jth road surface structural scheme, e i is the entropy value of the ith road performance index, and d i is the entropy weight of the ith road performance index;
secondly, weighting the ith index by adopting a variation coefficient method
Wherein: The mean value of the ith road performance index is represented, s i is the standard deviation of the ith road performance index, v i is the variation coefficient of the ith road performance index, and p i is the weight of the ith road performance index;
step five, combining weights to determine weights, and multiplying the weights obtained by combining weights with a standardized decision matrix Y to obtain a final balance degree score;
Hi＝yij×wi
Wherein: w i is the weight of the combination weighting of the ith road performance index, and H i is the balance degree score of the ith road performance index;
The larger H i is, the better the road performance of the road surface structure is, and the road surface structure is selected according to the calculated balance degree.
Further, in the first step, the structure of the long-life pavement is as designed according to the local traffic volume, environmental factors and soil conditions: rigid base course pavement structure, flexible base course pavement structure, full thickness type asphalt pavement structure and combined type asphalt pavement structure.
Further, in the second step, kenpave software is adopted to check the pavement structure scheme, and whether the design index of the specification is met is judged. For long-life pavements, the design indexes verified are mainly as follows: the asphalt layer is subjected to layer-by-layer bottom tensile strain and roadbed top surface compressive strain. The tensile strain of the asphalt layer bottom is not more than 70 mu epsilon, and the modified asphalt is not more than 100 mu epsilon. The pressure strain of the top surface of the roadbed is not more than 220 mu epsilon. The design index is met, and the requirement of long-service-life pavement can be basically met.
Further, in the third step, the decision variable x 1j represents the test data of the permanent deformation of the pavement structure; x 2j represents test data of fatigue cracking of the pavement structure, and fatigue characteristics of the pavement structure are represented by adopting the fatigue cracking; x 3j represents the test data of the strain of the subgrade top surface pressure. When the original index value is preprocessed, the reverse index is subjected to forward normalization processing, and then standardized processing, and the forward index is subjected to normalization processing, so that the data can be converted into a [0,1] interval through preprocessing, and each performance index can be evaluated.
Compared with the prior art, the invention has the beneficial effects that:
The method has the advantages of taking various performance indexes into consideration, avoiding the importance of excessively amplifying a certain index, having lower data requirements and less workload, and being capable of objectively selecting the optimal pavement structure. With the method, the pavement structure with the best pavement performance can be optimized in the design of the long-service-life pavement structure, so that the service life of the long-service-life pavement is prolonged.
The method adopts the entropy weight method and the coefficient of variation method with similar principles to carry out combined weighting, adds the coefficient of variation method on the basis of the traditional entropy weight method, avoids the situation of larger evaluation result difference caused by single method calculation of weight value, more accurately reflects the weight of design indexes, and compared with the method which singly considers each performance index of long-life pavement, the method adopts the thought of multi-objective balance, comprehensively considers each performance index of pavement structure in a combined weighting mode, thereby selecting the optimal pavement structure and achieving the aim of improving the service life of the long-life pavement.
Drawings
FIG. 1 is a flow chart of a preferred method of constructing a long life pavement
Detailed Description
The invention is described in detail below with reference to examples.
Firstly, several long-life pavement structures are primarily designed according to traffic parameters, environmental factors, soil conditions, material characteristics and the like.
The traffic parameters mainly comprise vehicle types, traffic volumes and the action times of all levels of axle loads, are converted into the action times of standard axle loads, and can be obtained through traffic sampling investigation. The environmental conditions can be obtained through climate zoning, and meanwhile, the local weather bureau can obtain the main environmental factors such as rainfall, temperature and the like which influence the physical state of the pavement material. The soil foundation needs to bear the weight of road structures and vehicle loads, and the soil foundation needs to be satisfied that sedimentation cannot occur in long-time running of vehicles. The structural layer materials are selected according to the functions born by the structural layers of the road. The structure of the road surface is shown in the following table.
Table 1 primary road surface structure 1
Table 2 primary road surface structure 2
TABLE 3 Primary pavement structure 3
Table 4 primary road surface structure 4
And then, inputting the information such as the thickness, the material modulus, the calculation point position, the load type and the like of each structural layer in the pavement structure into kenpave software, calculating the tensile strain of the asphalt layer bottom of the pavement structure and the compressive strain of the roadbed top surface through the software, and judging whether the information meets the requirements of design indexes.
TABLE 5 design index data sheet
| Pavement structure | Asphalt layer bottom tensile strain (mu epsilon) | Roadbed top pressure strain (mu epsilon) |
| Primary pavement structure 1 | 45.1 | 139.4 |
| Primary road surface structure 2 | 81.5 | 197.8 |
| Primary road surface structure 3 | 39.2 | 93.4 |
| Primary road surface structure 4 | 38.6 | 100.7 |
The tensile strain of the asphalt layer bottom is not more than 70 mu epsilon, and the modified asphalt is not more than 100 mu epsilon. The pressure strain of the top surface of the roadbed is not more than 220 mu epsilon. The design index requirements can be met by the initial pavement structure.
The road surface structure drawn by the calculation example is optimized by adopting the invention. The performance indexes adopted in this example are: the permanent deformation of asphalt mixture, the fatigue cracking times of asphalt mixture layer and the pressure strain at the top of roadbed. According to the asphalt pavement design Specification (JTG D50-2017), the permanent deformation of the asphalt mixture layers can be calculated by calculating the deformation of each asphalt mixture layer, so as to obtain the total deformation. The fatigue cracking times can be calculated according to the layer-by-layer bottom tensile stress of the asphalt mixture. The calculation results of the respective performance indexes of the road surface structure are shown in table 6.
TABLE 6 decision matrix
The original index values are preprocessed to change the decision matrix into a standardized decision matrix, as shown in table 7.
Forward pretreatment of reverse indexes: y' ij＝max{xij}-xij
Standardized pretreatment:
table 7 normalized decision matrix
According to the standardized decision matrix, entropy weight method is adopted to calculate entropy values and entropy weights of all indexes, as shown in table 8.
Specific gravity of the i-th index: Entropy value of the i-th index: If f ij =0, then f ijlnfij =0 entropy weight of the i-th index:
Table 8 entropy weight calculation table
The coefficient of variation was calculated using the coefficient of variation method according to the standardized decision matrix, as shown in table 9.
Mean value of the i-th index: standard deviation of the i-th index: coefficient of variation: Calculating the weight of each design index:
TABLE 9 coefficient of variation calculation table
Calculating combining weights
Combination weighting:
the obtained combination weights are calculated as follows: 0.377,0.320,0.303.
The final balance score was calculated as shown in table 10.
Balance score: h i＝yij×wi
Table 10 balance score table
| Calculation result | Pavement structure 1 | Pavement structure 2 | Pavement structure 3 | Pavement structure 4 |
| Balance score | 0.525 | 0.35 | 0.781 | 0.602 |
And finally, comparing the balance degree scores of the pavement structures, wherein the higher the balance degree score is, the better the comprehensive performance is. The pavement structure 3 has optimal road performance.
The invention can provide a new selection method for selecting the long-life pavement structure, and achieves the purposes of optimal road performance and longest service life.
The invention is based on the checking index of the long-life road surface structure, and makes comprehensive weight evaluation on whether the long-life road surface structure is good or not, and the result has higher reliability and robustness. Aiming at common road diseases of long-life road surfaces in different areas, the weight of corresponding indexes can be pertinently improved, so that the method is suitable for selecting long-life road surface structures in different areas. By adopting the method, various performance indexes of the pavement structure are comprehensively considered, the importance of excessively amplifying a certain index is avoided, and the pavement structure with the optimal comprehensive performance can be selected.
In summary, the invention can respectively establish a single response relation based on the response surface model according to the multi-objective balance requirements of the working performance, the mechanical performance and the shrinkage performance of the pre-filled aggregate concrete, and an expected function method is adopted to obtain the optimal combination of the parameters of the pre-filled aggregate concrete grouting material in the range meeting the acceptable multi-objective response requirements, so that the composite desirability D value is maximized when the component values are moderate, and the feasible domain range of the parameters of the grouting material under the multi-objective response requirements can be conveniently determined.
Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made therein without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (5)
1. A long life pavement structure optimization method, characterized by: the method comprises the following steps:
Firstly, designing a plurality of long-life pavement structures according to traffic parameters, environmental factors, soil base conditions and material characteristic factors;
checking the primary pavement structure by kenpave software;
Thirdly, according to the indoor test method specified by the existing specifications and regulations, N performance indexes of M pavement structure schemes are respectively obtained to form a decision matrix X, and standardized processing is carried out to convert the decision matrix X into a standardized decision matrix Y;
Pavement structure scheme set: w= { W 1,W2,…,Wn }; road performance index set: v= { V 1,V2,…,Vn }
Wherein: i represents an ith road performance index, j represents a jth road structure scheme, m represents the number of primary road structures, and n represents the number of road performance indexes used;
normalization process, converting decision matrix X into normalized decision matrix Y
yi"j＝max{xij}-xij
Wherein: y i'j' is a reverse index, and y ij is a standardized road performance index;
step four, respectively weighting the ith performance index by adopting an entropy weighting method and a variation coefficient method according to the standardized decision matrix y;
firstly, weighting an ith index by adopting an entropy weighting method
If f ij =0, f ijlnfij =0
Wherein: f ij is the proportion of the ith road performance index in the jth road surface structural scheme, e i is the entropy value of the ith road performance index, and d i is the entropy weight of the ith road performance index;
secondly, weighting the ith index by adopting a variation coefficient method
Wherein: The mean value of the ith road performance index is represented, s i is the standard deviation of the ith road performance index, v i is the variation coefficient of the ith road performance index, and p i is the weight of the ith road performance index;
step five, combining weights to determine weights, and multiplying the weights obtained by combining weights with a standardized decision matrix Y to obtain a final balance degree score;
Hi＝yij×wi
Wherein: w i is the weight of the combination weighting of the ith road performance index, and H i is the balance degree score of the ith road performance index; the larger H i is, the better the road performance of the road surface structure is, and the road surface structure is selected according to the calculated balance degree.
2. The long life pavement structure optimization method of claim 1, wherein: in the first step, the primary pavement structure comprises a semi-rigid base pavement structure, a flexible base pavement structure, a full-thickness asphalt pavement structure and a combined asphalt pavement structure according to local traffic parameters, environmental factors, soil conditions and material characteristic factors.
3. The long life pavement structure optimization method of claim 1, wherein: in the second step, kenpave software is adopted to carry out checking calculation of design indexes of the drawn long-life pavement structure, and the checked design indexes mainly comprise: the tensile strain of the asphalt layer bottom and the compressive strain of the roadbed top surface are not more than 70 mu epsilon, and when modified asphalt is adopted, the tensile strain of the asphalt layer bottom is not more than 100 mu epsilon, and the compressive strain of the roadbed top surface is not more than 220 mu epsilon.
4. The long life pavement structure optimization method of claim 1, wherein: after the designed long-life pavement structure meets the verification of design indexes, calculating the final balance degree score in a combined weighting mode, and comparing and selecting the balance degree score to obtain the optimal long-life pavement structure.
5. The long life pavement structure optimization method of claim 1, wherein: when the road performance of the road surface structure is evaluated, different road performance indexes can be selected for evaluation according to requirements, wherein the evaluation indexes comprise the permanent deformation of the asphalt mixture, fatigue cracking of the asphalt mixture layer and pressure strain of the top surface of the roadbed.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210596666.2A CN114969926B (en) | 2022-05-17 | 2022-05-17 | Optimization method of long-service-life pavement structure |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210596666.2A CN114969926B (en) | 2022-05-17 | 2022-05-17 | Optimization method of long-service-life pavement structure |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN114969926A CN114969926A (en) | 2022-08-30 |
| CN114969926B true CN114969926B (en) | 2024-07-02 |
Family
ID=82957399
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210596666.2A Active CN114969926B (en) | 2022-05-17 | 2022-05-17 | Optimization method of long-service-life pavement structure |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114969926B (en) |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103031788A (en) * | 2013-01-07 | 2013-04-10 | 天津市市政工程设计研究院 | Method for designing long-life composite pavement structure of underground road |
| CN111794038A (en) * | 2020-07-14 | 2020-10-20 | 河北工业大学 | Long-life asphalt pavement structure parameter combination optimization method |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2017132414A1 (en) * | 2016-01-28 | 2017-08-03 | Coe William B | Rolling cyclic fatigue test platform for determining asphalt ductility |
| US11492766B2 (en) * | 2019-04-15 | 2022-11-08 | Freetech Thermal Power Co., Ltd | Method of hot recycling repairing by optimizing proportion of asphalt mixture on pavement alignment variation section |
-
2022
- 2022-05-17 CN CN202210596666.2A patent/CN114969926B/en active Active
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103031788A (en) * | 2013-01-07 | 2013-04-10 | 天津市市政工程设计研究院 | Method for designing long-life composite pavement structure of underground road |
| CN111794038A (en) * | 2020-07-14 | 2020-10-20 | 河北工业大学 | Long-life asphalt pavement structure parameter combination optimization method |
Also Published As
| Publication number | Publication date |
|---|---|
| CN114969926A (en) | 2022-08-30 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN104462843A (en) | Fatigue life prediction method for high-modulus asphalt mixture pavement | |
| Carvalho et al. | Comparisons of flexible pavement designs: AASHTO empirical versus NCHRP project 1–37A mechanistic–empirical | |
| Gupta et al. | Pavement deterioration and maintenance model for low volume roads | |
| Willis et al. | Effects of pavement properties on vehicular rolling resistance: a literature review | |
| CN101792992B (en) | Permanent pavement design method | |
| CN106844937A (en) | With structure-integrated cement stabilizing crushing gravel basic unit or underlayment method for designing | |
| CN114969926B (en) | Optimization method of long-service-life pavement structure | |
| CN115358457A (en) | Asphalt pavement sustainable maintenance scheme optimization method | |
| CN103669154B (en) | The durable asphalt pavement method for designing that a kind of deck life-span successively increases progressively | |
| CN112948746B (en) | Composite roadbed post-construction settlement prediction method based on fuzzy comprehensive evaluation | |
| CN114059406A (en) | Design method of fully flexible asphalt pavement structure | |
| CN113190793A (en) | Dynamic determination method for water-rich property of loose bearing water-containing layer region | |
| CN111794038B (en) | Long-life asphalt pavement structure parameter combination optimization method | |
| CN115512796A (en) | High-temperature-resistant-rutting-based AC-type airport asphalt mixture mix proportion design method | |
| CN114164721B (en) | Roadbed and pavement balance design structure method | |
| CN115481805A (en) | Permanent asphalt pavement scheme optimization method based on design index co-scheduling | |
| CN113240271A (en) | Road surface condition evaluation model optimization method | |
| CN108846217B (en) | Simplified calculation method for structural layer resilience modulus of four-structural-layer highway | |
| CN106351101A (en) | Structure for heavy traffic road pavement based on fine-grained high performance asphalt concrete | |
| CN107798175B (en) | Method for evaluating bearing capacity reserve of asphalt pavement in initial design stage | |
| CN114936786B (en) | Comprehensive efficiency evaluation method of road traffic energy source consistent system | |
| CN115329534A (en) | Multi-objective balance-based optimization method for mix proportion of cement stabilized macadam materials | |
| Lina et al. | Asphalt pavement rutting model in seasonal frozen area | |
| CN108345724A (en) | A kind of optimum design method of tramcar embedded tracks road structure | |
| CN117688657B (en) | Asphalt pavement durable service risk assessment method under influence of temperature in climate change |
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 | ||
| GR01 | Patent grant |