CN106770702B - Research method of aging performance of modified asphalt based on grey correlation method - Google Patents
Research method of aging performance of modified asphalt based on grey correlation method Download PDFInfo
- Publication number
- CN106770702B CN106770702B CN201611012428.3A CN201611012428A CN106770702B CN 106770702 B CN106770702 B CN 106770702B CN 201611012428 A CN201611012428 A CN 201611012428A CN 106770702 B CN106770702 B CN 106770702B
- Authority
- CN
- China
- Prior art keywords
- ratio
- aging
- asphalt
- molecular weight
- grey
- 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.)
- Expired - Fee Related
Links
- 239000010426 asphalt Substances 0.000 title claims abstract description 108
- 230000032683 aging Effects 0.000 title claims abstract description 76
- 238000000034 method Methods 0.000 title claims abstract description 34
- 238000011160 research Methods 0.000 title claims description 5
- 239000011230 binding agent Substances 0.000 claims abstract description 12
- 238000004458 analytical method Methods 0.000 claims abstract description 11
- 230000035882 stress Effects 0.000 claims abstract description 6
- 230000035515 penetration Effects 0.000 claims description 10
- 238000011084 recovery Methods 0.000 claims description 7
- 230000003679 aging effect Effects 0.000 claims description 4
- 238000005227 gel permeation chromatography Methods 0.000 claims description 4
- 230000008859 change Effects 0.000 abstract description 6
- 239000000203 mixture Substances 0.000 abstract description 5
- 230000007246 mechanism Effects 0.000 abstract description 3
- 239000003607 modifier Substances 0.000 description 41
- 239000006185 dispersion Substances 0.000 description 14
- 238000004364 calculation method Methods 0.000 description 9
- 238000012360 testing method Methods 0.000 description 5
- 230000000694 effects Effects 0.000 description 3
- 230000006872 improvement Effects 0.000 description 3
- 238000011161 development Methods 0.000 description 2
- 230000018109 developmental process Effects 0.000 description 2
- 239000000463 material Substances 0.000 description 2
- 230000009471 action Effects 0.000 description 1
- 239000011384 asphalt concrete Substances 0.000 description 1
- 230000003542 behavioural effect Effects 0.000 description 1
- 238000010835 comparative analysis Methods 0.000 description 1
- 150000001875 compounds Chemical class 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 238000010219 correlation analysis Methods 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000013507 mapping Methods 0.000 description 1
- 239000011159 matrix material Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000000704 physical effect Effects 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 239000000126 substance Substances 0.000 description 1
- 230000009466 transformation Effects 0.000 description 1
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N30/00—Investigating or analysing materials by separation into components using adsorption, absorption or similar phenomena or using ion-exchange, e.g. chromatography or field flow fractionation
- G01N30/02—Column chromatography
Landscapes
- Physics & Mathematics (AREA)
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Chemical & Material Sciences (AREA)
- Analytical Chemistry (AREA)
- Biochemistry (AREA)
- General Health & Medical Sciences (AREA)
- General Physics & Mathematics (AREA)
- Immunology (AREA)
- Pathology (AREA)
- Compositions Of Macromolecular Compounds (AREA)
- Road Paving Structures (AREA)
Abstract
本发明公开一种基于灰关联法改性沥青老化性能研究方法，包括以下步骤：首先,对改性沥青老化前后分子量及分布的变化进行计算；然后，进行灰色关联法参数的计算；其次，进行分子量分布变化对改性沥青宏观性能指标变化影响的灰关联熵分析；再次，确定分子量及分布的变化对老化性能的影响顺序；最后，确定应力吸收层改性沥青结合料耐老化性能的主要影响因素，为控制应力吸收层沥青结合料的质量提供参考。本发明旨在借助先进的分析手段，从沥青的微观组成入手研究沥青的宏观性能与微观结构变化之间的关系，从本质上研究沥青的老化机理，保证道路应力吸收层沥青结合料的使用品质，为控制应力吸收层沥青结合料的质量提供参考。
The invention discloses a method for researching the aging performance of modified asphalt based on grey correlation method, which comprises the following steps: firstly, calculating the changes of molecular weight and distribution before and after the aging of the modified asphalt; then, calculating the parameters of the grey correlation method; Grey relational entropy analysis of the influence of molecular weight distribution changes on the changes of modified asphalt macro performance indicators; thirdly, determine the order of the influence of molecular weight and distribution changes on the aging performance; finally, determine the main influence of the stress-absorbing layer modified asphalt binder on the aging resistance performance factors to provide a reference for controlling the quality of the asphalt binder in the stress-absorbing layer. The invention aims to study the relationship between the macroscopic performance and the microstructure change of the asphalt starting from the microscopic composition of the asphalt by means of advanced analysis means, and to study the aging mechanism of the asphalt in essence, so as to ensure the use quality of the asphalt binder of the road stress absorbing layer. , to provide a reference for controlling the quality of the asphalt binder in the stress-absorbing layer.
Description
技术领域technical field
本发明属于道路工程技术领域，涉及道路应力吸收层改性沥青老化性能的方法研究，尤其涉及一种基于灰关联法的道路应力吸收层改性沥青老化性能的研究方法。The invention belongs to the technical field of road engineering, and relates to a method for researching the aging performance of road stress-absorbing layer modified asphalt, in particular to a method for researching the aging performance of road stress-absorbing layer modified asphalt based on a grey correlation method.
背景技术Background technique
灰色关联分析法,简称灰关联法,是贫信息系统分析的有效手段，是基于行为因子序列的微观或宏观几何接近，分析因子间的影响程度，辨别主要与次要因子，确定因子对主行为贡献测度的有效方法。其目的是对信息不完全与少数不确定的系统作因子间的量化、序化，进而从微观角度进行分析。Grey relational analysis method, referred to as grey relational method, is an effective method for analyzing poor information systems. It is based on the micro or macro geometric proximity of behavioral factor sequences, analyzes the degree of influence between factors, distinguishes primary and secondary factors, and determines the impact of factors on the main behavior. Efficient method for contribution measure. Its purpose is to quantify and sequence the factors between incomplete information and a few uncertain systems, and then analyze them from a microscopic perspective.
公路在国家交通系统和国民建设中起着举足轻重的角色，由于沥青老化导致公路沥青混凝土路面耐久性不足成为道路界一直关注的问题。我国道路工作者虽然也在改善路面的使用性能和耐久性能方面进行着积极的探索和研究，对于沥青在自然因素作用下老化后物理性质的改变已有较为深刻的认识，然而对于沥青老化在微观层次上的技术分析还需要进一步完善。Highways play an important role in the national transportation system and national construction. Due to the aging of asphalt, the insufficient durability of highway asphalt concrete pavement has become a problem that the road community has been concerned about. Although Chinese road workers are also actively exploring and researching on improving the service performance and durability of pavements, they have a relatively deep understanding of the changes in physical properties of asphalt after aging under the action of natural factors. Technical analysis at the level needs to be further improved.
沥青的组成成分非常复杂，现在的技术大多是围绕沥青组分变化与沥青宏观性能变化之间的关系，这对于沥青老化机理的研究有一定的局限性。The composition of asphalt is very complex, and most of the current technologies focus on the relationship between the changes of asphalt components and the changes of macroscopic properties of asphalt, which has certain limitations for the study of asphalt aging mechanism.
发明内容SUMMARY OF THE INVENTION
本发明为克服上述现有技术中的不足,提出一种基于灰关联法的道路应力吸收层改性沥青老化性能的研究方法。材料的微观组成决定着材料的性质，因此借助先进的分析手段，从沥青的微观组成入手研究沥青的宏观性能与微观结构变化之间的关系，从本质上研究沥青的老化机理，找出影响沥青老化的各方面原因，利用灰关联法计算沥青微观分子量，通过对比分析求出主要因子与次要因子，判断各种分子量对沥青六种宏观老化性能指标的影响程度，接着进行影响程度排序，进而确定出影响沥青老化程度最大的关键因子和最小的因子，从而得出沥青老化机理的主要指标，为沥青老化研究提供重要依据。In order to overcome the above-mentioned deficiencies in the prior art, the present invention proposes a research method for the aging performance of road stress-absorbing layer modified asphalt based on the grey correlation method. The microscopic composition of the material determines the properties of the material. Therefore, with the help of advanced analysis methods, the relationship between the macroscopic properties and the microstructure changes of the asphalt is studied from the microscopic composition of the asphalt. For various reasons of aging, the gray correlation method is used to calculate the microscopic molecular weight of asphalt, and the main factors and secondary factors are obtained through comparative analysis, and the degree of influence of various molecular weights on the six macro-aging performance indicators of asphalt is judged, and then the degree of influence is sorted, and then The key factor and the smallest factor affecting the asphalt aging degree are determined, and the main index of asphalt aging mechanism is obtained, which provides an important basis for asphalt aging research.
本发明使用的沥青宏观性能指标有：针入度、135℃粘度比、弹性恢复比、粘韧性比、5℃延度比、质量比，其中粘度比、延度比参照规范使用135℃和5℃；使用的沥青种类有：SBR、SBS、SAM、QP、GC、TPS、STR七种具有代表性的应力吸收层改性沥青。The macroscopic performance indicators of asphalt used in the present invention include: penetration, 135°C viscosity ratio, elastic recovery ratio, viscosity-toughness ratio, 5°C ductility ratio, and mass ratio. ℃; the types of asphalt used are: SBR, SBS, SAM, QP, GC, TPS, STR seven representative stress-absorbing layer modified asphalt.
本发明解决其技术问题所采用的技术方案：一种基于灰关联法改性沥青老化性能研究方法，包括以下如下步骤：The technical solution adopted by the present invention to solve the technical problem: a method for researching the aging performance of modified asphalt based on the ash correlation method, comprising the following steps:
a、对改性沥青老化前后分子量及分布的变化进行计算；a. Calculate the changes in molecular weight and distribution of modified asphalt before and after aging;
b、进行灰色关联法参数的计算；b. Calculate the parameters of the grey correlation method;
c、进行分子量分布变化对改性沥青宏观性能指标变化影响的灰关联熵分析；c. Carry out the grey relational entropy analysis of the influence of molecular weight distribution changes on the changes of the macroscopic performance indicators of modified asphalt;
d、确定分子量及分布的变化对老化性能的影响顺序；d. Determine the order of influence of changes in molecular weight and distribution on aging properties;
e、确定应力吸收层改性沥青结合料耐老化性能的主要影响因素，为控制应力吸收层沥青结合料的质量提供参考。e. Determine the main factors affecting the aging resistance of the modified asphalt binder in the stress absorbing layer, and provide a reference for controlling the quality of the asphalt binder in the stress absorbing layer.
所述步骤a中的计算改性沥青老化前后分子量及分布的方法为凝胶渗透色谱法。The method for calculating the molecular weight and distribution of the modified asphalt before and after aging in the step a is gel permeation chromatography.
所述步骤b中的灰色关联法参数计算包括灰关联度、灰关联熵以及灰熵关联度。The grey relational method parameter calculation in the step b includes grey relational degree, grey relational entropy and grey entropy relational degree.
所述改性沥青宏观性能指标包括针入度比、135℃粘度比、弹性恢复比、黏韧性比、5℃延度比和质量比。The macroscopic performance indicators of the modified asphalt include penetration ratio, 135°C viscosity ratio, elastic recovery ratio, viscosity-toughness ratio, 5°C ductility ratio and mass ratio.
与现有技术相比本发明的优点是：Compared with the prior art, the advantages of the present invention are:
1、从沥青的微观角度入手，透彻地分析了分子量分布变化对改性沥青老化性能的影响，而且本发明选用参数多，改性沥青老化性能指标选取全面，得出的结论能准确地反应改性沥青老化性能影响因素顺序。1. Starting from the microscopic angle of asphalt, the influence of molecular weight distribution change on the aging performance of modified asphalt is thoroughly analyzed, and the present invention selects many parameters, and the aging performance indicators of modified asphalt are comprehensively selected, and the conclusions drawn can accurately reflect the improvement of the modified asphalt. The order of factors affecting the aging performance of asphalt.
2、本发明便于操作，影响因素较少，条件限制少，易完成，具有实际应用和推广价值。2. The present invention is easy to operate, has less influence factors, less conditional restrictions, is easy to complete, and has practical application and promotion value.
附图说明Description of drawings
图1是不同参数比对针入度比的灰熵关联度；Figure 1 is the gray entropy correlation of different parameters compared to the penetration ratio;
图2是不同参数比对135℃粘度比的灰熵关联度；Figure 2 is the gray entropy correlation of different parameters compared to the viscosity ratio at 135 °C;
图3是不同参数比对弹性恢复比的灰熵关联度；Fig. 3 is the grey entropy correlation degree of different parameters comparing elastic recovery ratio;
图4是不同参数比对粘韧性比的灰熵关联度；Figure 4 is the grey entropy correlation of different parameters compared to the viscosity-toughness ratio;
图5是不同参数比对5℃延度比的灰熵关联度；Figure 5 is the gray entropy correlation of different parameters compared to the 5°C ductility ratio;
图6是不同参数比对质量比的灰熵关联度。Fig. 6 is the gray entropy correlation of different parameters compared to the mass ratio.
具体实施方式Detailed ways
下面通过具体实施例和附图对本发明作进一步的说明。本发明的实施例是为了更好地使本领域的技术人员更好地理解本发明，并不对本发明作任何的限制。The present invention will be further described below through specific embodiments and accompanying drawings. The embodiments of the present invention are for better understanding of the present invention by those skilled in the art, and do not limit the present invention.
一种基于灰关联法改性沥青老化性能研究方法，包括以下如下步骤：A method for studying the aging performance of modified asphalt based on the grey correlation method, comprising the following steps:
(a)利用凝胶渗透色谱分离技术研究SBR、SBS、SAM、QP、GC、TPS、STR七种改性沥青老化过程中分子量分布和组成变化，并对改性沥青老化前后分子量及分布的变化进行计算；(a) The molecular weight distribution and composition changes of seven modified asphalts of SBR, SBS, SAM, QP, GC, TPS and STR were studied by gel permeation chromatography during the aging process, and the changes of molecular weight and distribution before and after aging were analyzed. Calculation;
(b)对上述步骤中的七种改性沥青进行灰色关联法相关参数(包括灰关联度、灰关联熵和灰熵关联度)的计算；(b) calculating the relevant parameters of the grey relational method (including grey relational degree, grey relational entropy and grey entropy relational degree) for the seven modified asphalts in the above steps;
(c)进行分子量分布变化对改性沥青宏观性能指标变化影响的灰关联熵分析；(c) Grey relational entropy analysis of the influence of molecular weight distribution changes on the changes of modified asphalt macro performance indicators;
(d)将改性沥青老化前后各参数比值与不同老化性能指标的比值通过灰关联熵计算出灰熵关联度，然后根据灰熵关联度确定分子量及分布的变化对老化性能的影响顺序；(d) Calculate the grey entropy correlation degree by calculating the ratio of each parameter before and after the aging of the modified asphalt and different aging performance indicators through the grey correlation entropy, and then determine the order of the influence of molecular weight and distribution changes on the aging performance according to the grey entropy correlation degree;
(e)确定出应力吸收层改性沥青结合料耐老化性能的主要影响因素，为控制应力吸收层沥青结合料的质量提供参考。(e) Determine the main factors affecting the aging resistance of the modified asphalt binder in the stress absorbing layer, and provide a reference for controlling the quality of the asphalt binder in the stress absorbing layer.
选取SBR、SBS、SAM、QP、GC、TPS、STR七种改性沥青进行研究，利用凝胶渗透色谱法计算得出改性剂和沥青相老化前后平均分子量，由于SBS、SAM、STR这三种改性沥青采用的是复合改性剂，出现了两个改性剂峰(1峰和2峰)。各改性沥青中改性剂和沥青相(用J表示)老化前后分子量具体数据见表1～表4。其中为峰值分子量，为数均分子质量，为重均分子质量，PD表示分散度A表示峰面积，A％表示物质含量。Seven kinds of modified asphalts including SBR, SBS, SAM, QP, GC, TPS and STR were selected for research, and the average molecular weight of modifier and asphalt before and after aging was calculated by gel permeation chromatography. The modified asphalt used compound modifier, and two modifier peaks (peak 1 and peak 2) appeared. The specific data of the molecular weight before and after the aging of the modifier and the asphalt phase (represented by J) in each modified asphalt are shown in Tables 1 to 4. in is the peak molecular weight, is the number average molecular mass, is the weight-average molecular mass, and PD is the degree of dispersion A represents the peak area, and A% represents the substance content.
表1改性剂老化前平均分子量及分布Table 1 Average molecular weight and distribution of modifier before aging
表2改性剂老化后平均分子量及分布Table 2 Average molecular weight and distribution of modifier after aging
表3沥青相老化前平均分子量及分布Table 3 Average molecular weight and distribution of asphalt phase before aging
表4沥青相老化后平均分子量及分布Table 4 Average molecular weight and distribution of asphalt phase after aging
灰关联法参数计算：Grey correlation method parameter calculation:
(1)灰关联度(1) Gray correlation degree
一般进行灰关联分析时都要把原始因子转化为关联因子集。灰关联因子集定义为：设序列X＝(x1,x2,…,xr)，F为X的数值映射集，称X的象集χ为灰关联因子集。Generally, the original factor should be converted into a set of correlation factors when conducting gray correlation analysis. The gray correlation factor set is defined as: set the sequence X=(x 1 , x 2 ,..., x r ), F is the numerical mapping set of X, and the image set χ of X is called the gray correlation factor set.
{初值化，平均值化，最大值化，最小值化，区间值化，正因子化} {Initialization, Averageization, Maximumization, Minimumization, Interval valueization, Positive factorization}
灰关联度计算公式为X0∈χ为比较列，j＝1,2,…r。The grey relational degree calculation formula is X 0 ∈ χ is the comparison column, j=1, 2, . . . r.
其中，X0＝{x0(i)丨i＝1,2,…，r}，Xj＝{xj(i)丨i＝1,2,…，r}，则r(X0,Xj)满足灰关联四公理：规范性，偶对称性，整体性和接近性，r称为灰关联度，称r(X0(k),Xj(k))为灰关联系数。其中，ξ为分辨系数，一般取0.5。Wherein, X 0 ={x 0 (i)|i=1,2,...,r}, X j ={x j (i)|i=1,2,...,r}, then r(X 0 , X j ) satisfies the four axioms of grey relation: normality, even symmetry, integrity and proximity, r is called grey relation degree, and r(X 0 (k), X j (k)) is called grey relation coefficient. Among them, ξ is the resolution coefficient, which is generally taken as 0.5.
(2)灰关联熵(2) Grey relational entropy
设χ为灰关联因子集，X0∈χ为主行列，Xj∈χ，j＝1,2,…m为参考列，{r(X0(k),Xj(k))丨k＝1,2,…n}则映射Map：Rj→Pj Let χ be the set of gray correlation factors, X 0 ∈ χ is the main row and column, X j ∈ χ, j=1,2,...m is the reference column, {r(X 0 (k),X j (k))丨k =1,2,...n} then map Map: R j →P j
称为灰关联系数分布映射，映射值Ph称为分布的密度值。函数：It is called the gray correlation coefficient distribution map, and the map value P h is called the density value of the distribution. function:
为Xj的灰关联熵。is the grey relational entropy of X j .
(3)灰熵关联度(3) Grey entropy correlation
序列Xj的灰熵关联度为：The grey entropy correlation degree of the sequence Xj is:
其中，Hm称为灰熵的最大值，Hm(x)＝lnn。n代表由n个元素构成的差异信息列的最大值。Among them, H m is called the maximum value of gray entropy, and H m (x)=lnn. n represents the maximum value of the difference information column composed of n elements.
分子量分布变化对改性沥青老化性能影响的灰关联熵分析：Grey relational entropy analysis of the effect of molecular weight distribution changes on the aging performance of modified asphalt:
(1)各因素对针入度比的影响(1) Influence of various factors on penetration ratio
分别计算改性沥青改性剂相和沥青相老化后与老化前各参数的比值，见表5所示，M为改性剂相部分，J为沥青相部分，MPT表示老化后峰值分子量与老化前比值，MNT表示数均分子量老化后与老化前的比值，MWT表示重均分子量老化后与老化前的比值，PDT表示分散度老化后与老化前的比值，AT表示老化后含量与老化前的比值。Calculate the ratio of the modified asphalt modifier phase and asphalt phase after aging to the ratio of each parameter before aging, as shown in Table 5, M is the modifier phase part, J is the asphalt phase part, MPT represents the peak molecular weight after aging and aging Before the ratio, MNT represents the ratio of number average molecular weight after aging to before aging, MWT represents the ratio of weight average molecular weight after aging to before aging, PDT represents the ratio of dispersion after aging to before aging, AT represents the content after aging and before aging ratio.
表5老化后与老化前各参数比值Table 5 Ratios of parameters after aging and before aging
将不同种改性沥青老化后与老化前针入度比作为主行为，改性沥青改性剂相和沥青相老化后与老化前各参数的比值作为因子集序列，从而构成灰关联熵分析的原始数列，见表6所示。The penetration ratio of different kinds of modified asphalt after aging and before aging is taken as the main behavior, and the ratio of modified asphalt modifier phase and asphalt phase after aging to that before aging is used as a factor set sequence, which constitutes the grey relational entropy analysis. The original sequence is shown in Table 6.
表6各参数比值与沥青针入度比的关系Table 6 The relationship between the ratio of each parameter and the penetration ratio of asphalt
由于初值化是从初态出发，对事物的发展态势进行分析，而均值化是从平均的观念对事物发展进行分析。本发明对原始数列进行均值化变换，即用序列x的平均值去除序列x中所有的数据，同时将所有指标转换为正项指标，生成数列见表7所示。Because the initial value is to start from the initial state, the development trend of things is analyzed, and the average value is to analyze the development of things from the concept of average. The present invention performs mean transformation on the original sequence, that is, removes all data in sequence x by the average value of sequence x, and converts all indexes into positive term indexes at the same time, and the generated sequence is shown in Table 7.
表7均值处理产生数列Table 7 The mean value processing produces a series
执行公式1和公式2计算出各影响指标与针入度比的灰关联系数，结果见表8所示：Execute formula 1 and formula 2 to calculate the gray correlation coefficient between each impact index and penetration ratio. The results are shown in Table 8:
表8灰关联系数Table 8 Gray correlation coefficient
执行公式3计算得出灰熵关联密度，结果见表9所示：Execute formula 3 to calculate the gray entropy correlation density, and the results are shown in Table 9:
表9灰熵关联密度Table 9 Grey entropy correlation density
执行公式4计算得出比较列的灰关联熵，见表10所示：Execute formula 4 to calculate the gray correlation entropy of the comparison column, as shown in Table 10:
表10灰关联熵Table 10 Grey relational entropy
执行公式5计算得出灰熵关联度，老化前后各参数的比值与针入度比值的灰熵关联度即为图1所示。Execute formula 5 to calculate the gray entropy correlation. The gray entropy correlation between the ratio of each parameter before and after aging and the penetration ratio is shown in Figure 1.
(2)各因素对135℃粘度比的影响(2) Influence of various factors on the viscosity ratio at 135°C
重复执行灰关联法参数计算中的(1)灰关联度、(2)灰关联熵、(3)灰熵关联度，并根据相关试验数据可以得出各分子量及其分布的变化与老化前后135℃粘度比的灰熵关联度，即为图2所示。Repeatedly perform (1) gray correlation degree, (2) gray correlation entropy, (3) gray entropy correlation degree in the calculation of the parameters of the gray correlation method, and according to the relevant test data, it can be concluded that the changes of each molecular weight and its distribution and the changes before and after aging 135 The gray entropy correlation degree of the ℃ viscosity ratio is shown in Figure 2.
(3)各因素对弹性恢复比的影响(3) The influence of various factors on the elastic recovery ratio
重复执行灰关联法参数计算中的(1)灰关联度、(2)灰关联熵、(3)灰熵关联度，并根据相关试验数据可以得出各分子量及其分布的变化与老化前后弹性恢复比的灰熵关联度，即为图3所示。Repeat (1) gray correlation degree, (2) gray correlation entropy, and (3) gray entropy correlation degree in the calculation of the parameters of the gray correlation method, and according to the relevant test data, the changes of each molecular weight and its distribution and the elasticity before and after aging can be obtained. The gray entropy correlation degree of the recovery ratio is shown in Figure 3.
(4)各因素对粘韧性比的影响(4) Influence of various factors on the viscosity-toughness ratio
重复执行灰关联法参数计算中的(1)灰关联度、(2)灰关联熵、(3)灰熵关联度，并根据相关试验数据可以得出各分子量及其分布的变化与老化前后粘韧性比的灰熵关联度，即为图4所示。Repeatedly execute (1) gray correlation degree, (2) gray correlation entropy, (3) gray entropy correlation degree in the parameter calculation of gray correlation method, and according to relevant test data, it can be concluded that the change of each molecular weight and its distribution and the viscosity before and after aging. The grey entropy correlation of toughness ratio is shown in Figure 4.
(5)各因素对5℃延度比的影响(5) Influence of various factors on the ductility ratio at 5°C
重复执行灰关联法参数计算中的(1)灰关联度、(2)灰关联熵、(3)灰熵关联度，并根据相关试验数据可以得出各分子量及其分布的变化与老化前后5℃延度比的灰熵关联度，即为图5所示。Repeatedly perform (1) gray correlation degree, (2) gray correlation entropy, (3) gray entropy correlation degree in the calculation of parameters of the gray correlation method, and according to the relevant test data, it can be concluded that the changes of each molecular weight and its distribution and the changes before and after aging 5 The grey entropy correlation degree of ℃ ductility ratio is shown in Figure 5.
(6)各因素对质量比的影响(6) The influence of various factors on the mass ratio
重复执行灰关联法参数计算中的(1)灰关联度、(2)灰关联熵、(3)灰熵关联度，并根据相关试验数据可以得出各分子量及其分布的变化与老化前后质量比的灰熵关联度，即为图6所示。Repeatedly execute (1) gray correlation degree, (2) gray correlation entropy, (3) gray entropy correlation degree in the calculation of the parameters of the gray correlation method, and according to the relevant test data, the changes of each molecular weight and its distribution and the quality before and after aging can be obtained. The gray entropy correlation degree of the ratio is shown in Figure 6.
确定分子量及分布的变化对老化性能的影响顺序：Determine the sequence of effects of changes in molecular weight and distribution on aging properties:
图1示出了改性沥青老化前后各分子量及分布各参数比值对针入度比的影响大小依次为：沥青相含量比＞沥青相分散度比＞沥青相峰值分子量比＞改性剂重均分子量比＞改性剂数均分子量比＞沥青相数均分子量比＞沥青相重均分子量比＞改性剂分散度比＞改性剂峰值分子量比＞改性剂含量比。Figure 1 shows the influence of the ratio of the molecular weight and distribution parameters on the penetration ratio before and after the aging of the modified asphalt in the following order: asphalt phase content ratio > asphalt phase dispersion ratio > asphalt phase peak molecular weight ratio > modifier weight average Molecular weight ratio>modifier number average molecular weight ratio>asphalt phase number average molecular weight ratio>asphalt phase weight average molecular weight ratio>modifier dispersion ratio>modifier peak molecular weight ratio>modifier content ratio.
图2示出了改性沥青老化前后各分子量及分布各参数比值对135℃粘度比的影响大小依次为：沥青相重均分子量比＞沥青相数均分子量比＞沥青相分散度比＞沥青相含量比＞沥青相峰值分子量比＞改性剂峰值分子量比＞改性剂重均分子量比＞改性剂数均分子量比＞改性剂分散度比＞改性剂含量比。Figure 2 shows the influence of the ratio of the molecular weight and distribution parameters on the viscosity ratio at 135 °C before and after the aging of the modified asphalt. The order is: asphalt phase weight average molecular weight ratio > asphalt phase number average molecular weight ratio > asphalt phase dispersion ratio > asphalt phase Content ratio>asphalt phase peak molecular weight ratio>modifier peak molecular weight ratio>modifier weight average molecular weight ratio>modifier number average molecular weight ratio>modifier dispersion ratio>modifier content ratio.
图3示出了改性沥青老化前后各分子量及分布各参数比值对弹性恢复比的影响大小依次为：沥青相分散度比＞沥青相含量比＞沥青相峰值分子量比＞沥青相重均分子量比＞沥青相数均分子量比＞改性剂分散度比＞改性剂重均分子量比＞改性剂峰值分子量比＞改性剂数均分子量比＞改性剂含量比。Figure 3 shows the influence of the ratio of molecular weight and distribution parameters on the elastic recovery ratio before and after aging of the modified asphalt in the following order: asphalt phase dispersion ratio > asphalt phase content ratio > asphalt phase peak molecular weight ratio > asphalt phase weight average molecular weight ratio > Asphalt phase number average molecular weight ratio > modifier dispersion ratio > modifier weight average molecular weight ratio > modifier peak molecular weight ratio > modifier number average molecular weight ratio > modifier content ratio.
图4示出了改性沥青老化前后各分子量及分布各参数比值对粘韧性比的影响大小依次为：沥青相含量比＞沥青相峰值分子量比＞沥青相分散度比＞改性剂分散度比＞沥青相数均分子量比＞改性剂数均分子量比＞沥青相重均分子量比＞改性剂重均分子量比＞改性剂峰值分子量比＞改性剂含量比。Figure 4 shows the influence of the ratio of molecular weight and distribution parameters on the viscosity-toughness ratio before and after aging of the modified asphalt in the following order: asphalt phase content ratio > asphalt phase peak molecular weight ratio > asphalt phase dispersion ratio > modifier dispersion ratio > Asphalt phase number average molecular weight ratio > modifier number average molecular weight ratio > asphalt phase weight average molecular weight ratio > modifier weight average molecular weight ratio > modifier peak molecular weight ratio > modifier content ratio.
图5示出了改性沥青老化前后各分子量及分布各参数比值对5℃延度比的影响大小依次为：沥青相含量比＞沥青相重均分子量比＞沥青相峰值分子量比＞改性剂分散度比＞沥青相分散度比＞改性剂峰值分子量比＞沥青相数均分子量比＞改性剂重均分子量比＞改性剂含量比＞改性剂数均分子量比。Figure 5 shows the influence of the ratio of the molecular weight and distribution parameters on the ductility ratio at 5°C before and after the aging of the modified asphalt. The order is: asphalt phase content ratio > asphalt phase weight-average molecular weight ratio > asphalt phase peak molecular weight ratio > modifier Dispersion ratio>asphalt phase dispersity ratio>modifier peak molecular weight ratio>asphalt phase number average molecular weight ratio>modifier weight average molecular weight ratio>modifier content ratio>modifier number average molecular weight ratio.
图6示出了改性沥青老化前后各分子量及分布各参数比值对质量比的影响大小依次为：沥青相含量比＞沥青相峰值分子量比＞沥青相分散度比＞沥青相数均分子量比＞沥青相重均分子量比＞改性剂重均分子量比＞改性剂数均分子量比＞改性剂分散度比＞改性剂峰值分子量比＞改性剂含量比。Figure 6 shows the influence of the ratio of the molecular weight and distribution parameters on the mass ratio before and after the aging of the modified asphalt in the following order: asphalt phase content ratio>asphalt phase peak molecular weight ratio>asphalt phase dispersion ratio>asphalt phase number-average molecular weight ratio> Asphalt phase weight average molecular weight ratio>modifier weight average molecular weight ratio>modifier number average molecular weight ratio>modifier dispersion ratio>modifier peak molecular weight ratio>modifier content ratio.
确定应力吸收层改性沥青结合料耐老化性能的主要影响因素：Determine the main influencing factors of the aging resistance of the modified asphalt binder of the stress-absorbing layer:
通过图1～图6以及步骤(d)可以得出影响改性沥青宏观性能最大的因素是沥青相分子量及分散度的变化，其中沥青相含量比的影响最大；而改性剂对改性沥青老化的影响较小。而且改性沥青老化后沥青相的变化较改性剂的变化对改性沥青老化后性能的影响更大，所以应力吸收层改性沥青结合料应重视基质沥青的选用。From Figure 1 to Figure 6 and step (d), it can be concluded that the most important factor affecting the macroscopic properties of modified asphalt is the change in the molecular weight and dispersion of the asphalt phase, of which the content ratio of the asphalt phase has the greatest impact; and the modifier has the greatest impact on the modified asphalt. The effects of aging are small. Moreover, the change of the asphalt phase after the aging of the modified asphalt has a greater influence on the performance of the modified asphalt after the aging than the change of the modifier, so the selection of the matrix asphalt should be paid attention to the modified asphalt binder of the stress-absorbing layer.
以上对本发明的具体实施进行了描述，本发明并不局限于上述特定实施方式，本领域技术人员可以在权利要求的范围内做出各种变形或修改，这并不影响本发明的实质性内容。The specific implementation of the present invention has been described above. The present invention is not limited to the above-mentioned specific embodiments. Those skilled in the art can make various deformations or modifications within the scope of the claims, which do not affect the essential content of the present invention. .
应当理解的是，这里所讨论的实施方案及实例只是为了说明，对本领域技术人员来说，可以加以改进或变换，而所有这些改进和变换都应属于本发明所附权利要求的保护范围。It should be understood that the embodiments and examples discussed here are only for illustration, and for those skilled in the art, improvements or changes may be made, and all these improvements and changes should fall within the protection scope of the appended claims of the present invention.
Claims (4)
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201611012428.3A CN106770702B (en) | 2016-11-17 | 2016-11-17 | Research method of aging performance of modified asphalt based on grey correlation method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201611012428.3A CN106770702B (en) | 2016-11-17 | 2016-11-17 | Research method of aging performance of modified asphalt based on grey correlation method |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN106770702A CN106770702A (en) | 2017-05-31 |
| CN106770702B true CN106770702B (en) | 2019-07-02 |
Family
ID=58969174
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201611012428.3A Expired - Fee Related CN106770702B (en) | 2016-11-17 | 2016-11-17 | Research method of aging performance of modified asphalt based on grey correlation method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN106770702B (en) |
Families Citing this family (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107798174A (en) * | 2017-09-29 | 2018-03-13 | 长安大学 | A kind of bituminous paving antiskid influence factor appraisal procedure based on grey relevance analysis |
| CN109540740A (en) * | 2018-12-04 | 2019-03-29 | 江西蓝星星火有机硅有限公司 | A kind of needle penetration fitting detection method of Molecular Weight of Silicone Rubber |
| CN112666105A (en) * | 2020-12-04 | 2021-04-16 | 武汉科技大学 | Asphalt high-temperature performance detection method based on gray entropy correlation |
| CN112415180B (en) * | 2020-12-10 | 2021-09-10 | 广西交科集团有限公司 | Method for selecting base asphalt for rubber asphalt based on ash correlation analysis |
| CN112630419B (en) * | 2020-12-31 | 2022-02-11 | 同济大学 | A method for judging the aging degree of asphalt in asphalt mixture |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101792607A (en) * | 2010-03-18 | 2010-08-04 | 天津市市政工程设计研究院 | Method for selecting fire retardant based on grey correlation analysis |
| CN104458432A (en) * | 2014-11-21 | 2015-03-25 | 长安大学 | Method for determining granularity area of asphalt mixture and for evaluating influence factors |
| CN104496284A (en) * | 2014-11-19 | 2015-04-08 | 武汉工程大学 | Waste asphalt concrete gradating optimization method based on grey system theory |
-
2016
- 2016-11-17 CN CN201611012428.3A patent/CN106770702B/en not_active Expired - Fee Related
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101792607A (en) * | 2010-03-18 | 2010-08-04 | 天津市市政工程设计研究院 | Method for selecting fire retardant based on grey correlation analysis |
| CN104496284A (en) * | 2014-11-19 | 2015-04-08 | 武汉工程大学 | Waste asphalt concrete gradating optimization method based on grey system theory |
| CN104458432A (en) * | 2014-11-21 | 2015-03-25 | 长安大学 | Method for determining granularity area of asphalt mixture and for evaluating influence factors |
Non-Patent Citations (3)
| Title |
|---|
| 基于热、光耦合条件下SBS改性沥青老化机理研究;刘丽;《中国优秀硕士学位论文全文数据库 工程科技Ⅱ辑》;20160415(第04期);第1.2节，第4.3节，第4.4节，第五章前言，第5.2节，第5.3节 |
| 灰色系统理论在研究沥青老化中的应用;魏毅等;《抚顺石油学院学报》;20020930;第22卷(第3期);第4～7页 |
| 道路沥青老化过程中沥青组成与分子量分布的变化;周安娜等;《安徽工业大学学报》;20011031;第18卷(第4期);第347～350页 |
Also Published As
| Publication number | Publication date |
|---|---|
| CN106770702A (en) | 2017-05-31 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN106770702B (en) | Research method of aging performance of modified asphalt based on grey correlation method | |
| Ren et al. | Characterization and prediction of rutting resistance of rock asphalt mixture under the coupling effect of water and high-temperature | |
| Sun et al. | Aging mechanism and effective recycling ratio of SBS modified asphalt | |
| Schwartz et al. | Sensitivity evaluation of MEPDG performance prediction | |
| Fathalizadeh et al. | Barriers impeding sustainable project management: A Social Network Analysis of the Iranian construction sector | |
| Dinegdae et al. | Mechanics-based top-down fatigue cracking initiation prediction framework for asphalt pavements | |
| CN111523825B (en) | Multi-dimensional-based highway asphalt pavement long-term performance evaluation method | |
| Nazarko et al. | Foresight study of road pavement technologies | |
| CN107818237A (en) | The evaluation method of Damages of Asphalt Road Surface situation | |
| Wang et al. | Advances in pavement materials, design, characterisation, and simulation | |
| Khorshidi et al. | Performance evaluation of asphalt mixtures containing different proportions of alternative materials | |
| Zhao et al. | Viscosity prediction of rubberized asphalt–rejuvenated recycled asphalt pavement binders using artificial neural network approach | |
| Wu et al. | Electric vehicle adoption and local PM2. 5 reduction: Evidence from China | |
| Li et al. | Evaluation of the field-aged performance of foamed warm mix asphalt: Comparisons with hot mix asphalt | |
| CN112630419B (en) | A method for judging the aging degree of asphalt in asphalt mixture | |
| CN108322478B (en) | A website defense strategy selection method based on offense and defense game | |
| Phung et al. | Practical numerical tool for marshall stability prediction based on machine learning: an application for asphalt concrete containing basalt fiber | |
| CN111863144B (en) | A method for evaluating the compatibility of asphalt and modifier based on interfacial interaction | |
| CN109142694A (en) | A kind of bitumen regenerant dosage based on rheological property balanced design determines method | |
| CN101847248A (en) | Method for evaluating service function of wetland ecosystem | |
| CN103745128A (en) | Maintenance measure decision method based on road disease causes | |
| CN108416185B (en) | Method for researching modified asphalt modification mechanism | |
| Li et al. | Evaluation of asphalt mixture cracking performance using the monotonic direct tension test in the AMPT | |
| Huang et al. | Renovated comprehensive multilevel evaluation approach to self-healing of asphalt mixtures | |
| Wei et al. | Performance Evaluation Model of Urban Road Asphalt Pavement Based on Attribute Hierarchical Model and Entropy Weight Method |
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 | ||
| GR01 | Patent grant | ||
| CF01 | Termination of patent right due to non-payment of annual fee | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20190702 |