CN104098293A - Multi-factor and multi-level visualized analysis method for preparation of high performance modified emulsified asphalt - Google Patents
Multi-factor and multi-level visualized analysis method for preparation of high performance modified emulsified asphalt Download PDFInfo
- Publication number
- CN104098293A CN104098293A CN201410270671.XA CN201410270671A CN104098293A CN 104098293 A CN104098293 A CN 104098293A CN 201410270671 A CN201410270671 A CN 201410270671A CN 104098293 A CN104098293 A CN 104098293A
- Authority
- CN
- China
- Prior art keywords
- modified emulsified
- performance modified
- emulsified bitumen
- ratio
- impact
- 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.)
- Granted
Links
Landscapes
- Road Paving Structures (AREA)
Abstract
The invention discloses a multi-factor and multi-level visualized analysis method for preparation of high performance modified emulsified asphalt. The method comprises the steps of: 1. analyzing the influence of the particle sizes and gradation of four stone materials on the mixing stability, flow value and impact resistance of high performance modified emulsified asphalt; 2. analyzing the influence of mineral powder ratio on the mixing stability, flow value and impact resistance of high performance modified emulsified asphalt; 3. analyzing the influence of oil-stone ratio on the mixing stability, flow value and impact resistance of high performance modified emulsified asphalt; 4. analyzing the influence of mutual interaction of the four stone materials' particle sizes and gradation, the mineral powder ratio and the oil-stone ratio on the mixing stability, flow value and impact resistance of high performance modified emulsified asphalt; and 5. combining the above four steps to look for the optimal gradation, mineral powder ratio and oil-stone ratio. The method provided by the invention has the advantages of field pertinence, higher accuracy, better scientificity, short research period, declined research funding, and direct and reliable results.
Description
Technical field
The present invention relates to the method for a kind of definite asphalt mixture ratio in highway communication field, particularly a kind of multifactor multilevel visual analysis method that configures high-performance modified emulsified bitumen.
Background technology
Because the performance of level pairing asphalt has important effect, therefore before 100 years, just there are some scholars begin one's study some research of grade-suit theories of mineral aggregate and gradation design method in the U.S., in the research of heated bitumen batch mixing, generally adopt at present two-stage method: first paragraph is " grating research ": mainly contain two kinds of maximum closely knit curve theory and particle interference theories.Maximum closely knit curve is a kind of ideal curve proposing by test, thinks when mineral aggregate forms according to maximum density curve, and density maximum.Particle interference theory thinks, for reaching maximum density, and the space between previous stage particle, should be filled by next stage particle, all the other spaces are filled by inferior small-particle again, but the greatly therebetween distance between gap of the grain diameter of calking, otherwise certainly will interfere phenomenon between size particles.According to two kinds of theories above, following several mineral aggregate gradation types are produced: traditional continous way close-graded, gap grading and multistage embedded squeezing close-graded, grating method of calculation comprise n method, i method, k method, Superpave method and Bei Leifa etc.These theories have experienced the history of more than 100 year, there is no qualitative leap.Second segment is " asphalt mixture ": gather materials and study with the batch mixing of pitch, breeze.Obviously in the time that different solutes are dissolved in solvent, certainly will there is multiple effect (as the movement of relative position between variable grain and absolute location, reorientate etc.), make previous density research not necessarily gather effect, be more difficult to describe first paragraph and study the rule that affects on final highway pavement technical indicator.And there is following defect in grating: first, real application research is simplified, especially influence factor quantity is reduced, reduction factor research level quantity, reduce testing expenses, finally cause obtaining correct conclusion, or the conclusion that does not instruct production practical significance of slightly being made; Secondly, adopt multiple linear or non-linear regression to go to find rule to the several factors after simplifying, cause can not find rule, or the too poor result of effect.
Summary of the invention
For the defect existing in existing asphalt mixture collocation method, the invention provides a kind of multifactor multilevel visual analysis method that configures high-performance modified emulsified bitumen.
To achieve these goals, the measure that the present invention takes is:
A kind of multifactor multilevel visual analysis method that configures high-performance modified emulsified bitumen, comprise the following steps: the first step, analyze four kinds of building stones particle diameters and a grade impact for pairing high-performance modified emulsified bitumen batch mixing stability, flow valuve and anti-impact force, obtain corresponding formula range; Second step, analyzes the impact of breeze ratio on high-performance modified emulsified bitumen batch mixing stability, flow valuve and anti-impact force, obtains corresponding formula range; The 3rd step, analyzes the impact of bitumen aggregate ratio on high-performance modified emulsified bitumen batch mixing stability, flow valuve and anti-impact force, obtains corresponding formula range; The 4th step, analyzes the mutual impact on high-performance modified emulsified bitumen batch mixing stability, flow valuve and anti-impact force between two between four kinds of building stones particle diameters and grating, breeze ratio, bitumen aggregate ratio, obtains corresponding formula range; The 5th step, in conjunction with front four steps, finds optimum gradation and breeze ratio and bitumen aggregate ratio.
In described first three step, each influence factor is got 10 levels.
In described front four steps, realize by isopleth visual that each influence factor affects compounding effect measurement index.
The impact of the each influence factor of methods analyst by artificial neural network (ANNs) in described front four steps on compounding effect measurement index.
The particle size range of described four kinds of building stones is respectively: be less than or equal to 4.75mm, and 4.75 ~ 13.2mm, 13.2mm ~ 19mm, is more than or equal to 19mm.
Beneficial effect of the present invention: the research of building stones grating and later stage asphalt mixture are synthesized to a step with studying science, the directly relation between research mixture recipes and pavement material index, there is on-the-spot specific aim, accuracy is higher, and more science of score two-step approach has solved the drawback that grating research separates with batch mixing research in batch mixing research in advance, shortened research cycle, reasearch funds decline, and simultaneously flexible to different systematic studyes, result of study is directly reliable.
Embodiment
High-performance modified emulsified bitumen batch mixing problem, more as the compound system influence factor of a multiple material, the present invention investigates 6 influence factors, comprises that the building stones of four kinds of different range (are designated as respectively C
1, C
2, C
3, C
4), breeze ratio and bitumen aggregate ratio; In order to improve the tolerance range of research, each factor adopts 10 levels; As high-performance modified emulsified bitumen batch mixing research, its compounding effect measurement index number is also greater than 1, get three, be respectively batch mixing stability, flow valuve and anti-impact force, therefore formed characteristic multifactor, multilevel, multiple goal research, in addition these impacts are generally considered to be nonlinear, and also have interaction between each factor.These level of factor target components have been constructed a complex system, adopt traditional orthogonal experimental design can not meet project demand, therefore adopt advanced uniform experiment design method experiment arrangement, can reduce test number (TN); Test-results is carried out to multifactor multilevel visual analyzing, find out wherein rule, instruct actual batch mixing operation.The methods such as the n method, i method, k method, Superpave method and the Bei Lei that rule 100 years are abandoned completely, the research of building stones grating and later stage asphalt mixture are synthesized to a step with studying science, directly study the relation between batch mixing (comprising traditional grating) formula and pavement material index.
A kind of multifactor multilevel visual analysis method that configures high-performance modified emulsified bitumen, comprise the following steps: the first step, analyze four kinds of building stones particle diameters and a grade impact for pairing high-performance modified emulsified bitumen batch mixing stability, flow valuve and anti-impact force, obtain corresponding formula range; Second step, analyzes the impact of breeze ratio on high-performance modified emulsified bitumen batch mixing stability, flow valuve and anti-impact force, obtains corresponding formula range; The 3rd step, analyzes the impact of bitumen aggregate ratio on high-performance modified emulsified bitumen batch mixing stability, flow valuve and anti-impact force, obtains corresponding formula range; The 4th step, analyzes the mutual impact on high-performance modified emulsified bitumen batch mixing stability, flow valuve and anti-impact force between two between four kinds of building stones particle diameters and grating, breeze ratio, bitumen aggregate ratio, obtains corresponding formula range; The 5th step, in conjunction with front four steps, finds optimum gradation and breeze ratio and bitumen aggregate ratio.In described first three step, each influence factor is got 10 levels.In described front four steps, realize by isopleth visual that each influence factor affects compounding effect measurement index.The impact of the each influence factor of methods analyst by artificial neural network (ANNs) in described front four steps on compounding effect measurement index.The particle size range of described four kinds of building stones is respectively: be less than or equal to 4.75mm, and 4.75 ~ 13.2mm, 13.2mm ~ 19mm, is more than or equal to 19mm.
Beneficial effect of the present invention: the research of building stones grating and later stage asphalt mixture are synthesized to a step with studying science, the directly relation between research mixture recipes and pavement material index, there is on-the-spot specific aim, accuracy is higher, and more science of score two-step approach has solved the drawback that grating research separates with batch mixing research in batch mixing research in advance, shortened research cycle, reasearch funds decline, and simultaneously flexible to different systematic studyes, result of study is directly reliable.
Those ordinary skill in the art's simple change and replacement are all within protection scope of the present invention.
Claims (5)
1. a multifactor multilevel visual analysis method for the high-performance modified emulsified bitumen of configuration, is characterized in that comprising the following steps:
The first step, analyzes four kinds of building stones particle diameters and a grade impact for pairing high-performance modified emulsified bitumen batch mixing stability, flow valuve and anti-impact force, obtains corresponding formula range;
Second step, analyzes the impact of breeze ratio on high-performance modified emulsified bitumen batch mixing stability, flow valuve and anti-impact force, obtains corresponding formula range;
The 3rd step, analyzes the impact of bitumen aggregate ratio on high-performance modified emulsified bitumen batch mixing stability, flow valuve and anti-impact force, obtains corresponding formula range;
The 4th step, analyzes the mutual impact on high-performance modified emulsified bitumen batch mixing stability, flow valuve and anti-impact force between two between four kinds of building stones particle diameters and grating, breeze ratio, bitumen aggregate ratio, obtains corresponding formula range;
The 5th step, in conjunction with front four steps, finds optimum gradation and breeze ratio and bitumen aggregate ratio.
2. according to a kind of multifactor multilevel visual analysis method that configures high-performance modified emulsified bitumen claimed in claim 1, it is characterized in that in described first three step, each influence factor is got 10 levels.
3. according to a kind of multifactor multilevel visual analysis method that configures high-performance modified emulsified bitumen described in claim 1 or 2, it is characterized in that realizing by isopleth visual that each influence factor affects compounding effect measurement index in described front four steps.
4. according to a kind of multifactor multilevel visual analysis method that configures high-performance modified emulsified bitumen described in claim 1 or 2, it is characterized in that in described front four steps the impact on compounding effect measurement index of the each influence factor of methods analyst by artificial neural network (ANNs).
5. according to a kind of multifactor multilevel visual analysis method that configures high-performance modified emulsified bitumen described in claim 1 or 2, the particle size range that it is characterized in that described four kinds of building stones is respectively: be less than or equal to 4.75mm, 4.75 ~ 13.2mm, 13.2mm ~ 19mm, is more than or equal to 19mm.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410270671.XA CN104098293B (en) | 2014-06-18 | 2014-06-18 | A kind of multifactor multilevel visual analysis method that configures high-performance modified emulsified asphalt |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410270671.XA CN104098293B (en) | 2014-06-18 | 2014-06-18 | A kind of multifactor multilevel visual analysis method that configures high-performance modified emulsified asphalt |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN104098293A true CN104098293A (en) | 2014-10-15 |
| CN104098293B CN104098293B (en) | 2016-05-11 |
Family
ID=51666882
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201410270671.XA Active CN104098293B (en) | 2014-06-18 | 2014-06-18 | A kind of multifactor multilevel visual analysis method that configures high-performance modified emulsified asphalt |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN104098293B (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109917115A (en) * | 2019-01-23 | 2019-06-21 | 长安大学 | A kind of asphalt comprehensive performance prediction technique |
| CN113140264A (en) * | 2021-03-05 | 2021-07-20 | 天津城建大学 | Cold-recycling asphalt mixture mix proportion design method based on orthogonal test-Bailey method |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6000876A (en) * | 1997-07-16 | 1999-12-14 | Der-Hsien Shen | Content and production method for semi-rigid asphalt concrete |
| CN102276187A (en) * | 2011-05-18 | 2011-12-14 | 同济大学 | Two stage design method of buton rock asphalt modified asphalt mixture |
| CN102773923A (en) * | 2012-08-22 | 2012-11-14 | 上海申桥科技发展有限公司 | Mix proportion design method of emulsified asphalt cold-patch mixture |
-
2014
- 2014-06-18 CN CN201410270671.XA patent/CN104098293B/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6000876A (en) * | 1997-07-16 | 1999-12-14 | Der-Hsien Shen | Content and production method for semi-rigid asphalt concrete |
| CN102276187A (en) * | 2011-05-18 | 2011-12-14 | 同济大学 | Two stage design method of buton rock asphalt modified asphalt mixture |
| CN102773923A (en) * | 2012-08-22 | 2012-11-14 | 上海申桥科技发展有限公司 | Mix proportion design method of emulsified asphalt cold-patch mixture |
Non-Patent Citations (1)
| Title |
|---|
| 孙益民 等: "基于神经网络的沥青混合料配合比设计", 《公路交通科技》 * |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109917115A (en) * | 2019-01-23 | 2019-06-21 | 长安大学 | A kind of asphalt comprehensive performance prediction technique |
| CN113140264A (en) * | 2021-03-05 | 2021-07-20 | 天津城建大学 | Cold-recycling asphalt mixture mix proportion design method based on orthogonal test-Bailey method |
| CN113140264B (en) * | 2021-03-05 | 2022-12-27 | 天津城建大学 | Cold-recycling asphalt mixture mix proportion design method based on orthogonal test-Bailey method |
Also Published As
| Publication number | Publication date |
|---|---|
| CN104098293B (en) | 2016-05-11 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Jafari et al. | Evaluation of polyphosphoric acid-modified binders using multiple stress creep and recovery and linear amplitude sweep tests | |
| Li et al. | Analysis of viscosity and composition properties for crumb rubber modified asphalt | |
| Tan et al. | Performance optimization of composite modified asphalt sealant based on rheological behavior | |
| CN204101388U (en) | A kind of asphalt torsional shear test device | |
| Jafari et al. | Effects of stress levels on creep and recovery behavior of modified asphalt binders with the same continuous performance grades | |
| CN103396043B (en) | Warmly-mixed TOR (trans-polyoctenamer rubber reactive modifier) rubber asphalt mixture and preparation method thereof | |
| CN104098293B (en) | A kind of multifactor multilevel visual analysis method that configures high-performance modified emulsified asphalt | |
| Chen et al. | Analysis of micromechanical properties of algae bio-based bio-asphalt-mineral interface based on molecular simulation technology | |
| CN104048985A (en) | Method for determining mixing amount of modifying agent in SBS modified asphalt | |
| CN104268302A (en) | Petroleum recoverable reserve changing cause analysis chart creating method and application | |
| Kök et al. | Neural network modeling of SBS modified bitumen produced with different methods | |
| Ren et al. | Influence of the mesoscopic viscoelastic contact model on characterizing the rheological behavior of asphalt concrete in the DEM simulation | |
| Blomberg et al. | Laboratory simulation of bitumen aging and rejuvenation to mimic multiple cycles of reuse | |
| Xiao et al. | Model developments of long-term aged asphalt binders | |
| CN106407628A (en) | Method and system for determining asphalt concoction scheme based on viscosity model | |
| Zhao et al. | Short-term aging performance evaluation of asphalt based on principal component and cluster analysis | |
| Wang et al. | Research on Rheological Properties of High‐Percentage Artificial RAP Binder with WMA Additives | |
| Teymourpour et al. | Impacts of lubricating oils on rheology and chemical compatibility of asphalt binders | |
| Xu et al. | Rheology investigation of combined binders from various polymers with GTR under a short term aging process | |
| Nega et al. | Developing master curves, binder viscosity and predicting dynamic modulus of polymer-modified asphalt mixtures | |
| CN104098292B (en) | A kind of high-performance modified emulsified asphalt open gradation structure one step grating method for mixing | |
| CN104568253B (en) | Coal mine roadway anchor shaft anchor cable synergy photoelastic experiment device | |
| CN114196218A (en) | Modified asphalt mixture and test method thereof | |
| OBrien et al. | The influence of correlation on the extreme traffic loading of bridges | |
| Li et al. | Performance evaluation of hot-applied sealant for asphalt pavement with consideration of the ash content |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C53 | Correction of patent of invention or patent application | ||
| CB03 | Change of inventor or designer information |
Inventor after: Sun Yimin Inventor after: Rui Dingwen Inventor after: Wang Ju Inventor before: Rui Dingwen Inventor before: Sun Yimin Inventor before: Wang Ju |
|
| COR | Change of bibliographic data |
Free format text: CORRECT: INVENTOR; FROM: RUI DINGWEN SUN YIMIN WANG JU TO: SUN YIMIN RUI DINGWEN WANG JU |
|
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| C41 | Transfer of patent application or patent right or utility model | ||
| TR01 | Transfer of patent right |
Effective date of registration: 20160914 Address after: Xiangyang Road 471013 Henan city of Luoyang province Yang Wen Chan District No. 8 Patentee after: CCCC Second Highway Fourth Engineering Co., Ltd. Address before: 241000 Anhui city of Wuhu Province Economic and Technological Development Zone Branch Center Software Park 201, 226, 227. Patentee before: ANHUI RUIYAN NEW MATERIAL TECHNOLOGY RESEARCH INSTITUTE CO., LTD. |