吉林大学学报(工学版) ›› 2021, Vol. 51 ›› Issue (6): 2137-2143.doi: 10.13229/j.cnki.jdxbgxb20210191

• 交通运输工程·土木工程 • 上一篇    

基于可拓层次分析法的沥青混合料路用性能评价

董伟智(),张爽,朱福()   

  1. 吉林建筑大学 交通科学与工程学院,长春 130118
  • 收稿日期:2021-03-12 出版日期:2021-11-01 发布日期:2021-11-15
  • 通讯作者: 朱福 E-mail:dongweizhi@jlju.edu.cn;zhufu@jlju.edu.cn
  • 作者简介:董伟智(1971-),男,副教授,博士. 研究方向:道路工程. E-mail:dongweizhi@jlju.edu.cn
  • 基金资助:
    吉林省教育厅科学技术研究计划项目(JJKH20210281KJ)

Evaluation of pavement performance of asphalt mixture based on extension analytic hierarchy process

Wei-zhi DONG(),Shuang ZHANG,Fu ZHU()   

  1. College of Transportation Science and Engineering,Jilin Jianzhu University,Changchun 130118,China
  • Received:2021-03-12 Online:2021-11-01 Published:2021-11-15
  • Contact: Fu ZHU E-mail:dongweizhi@jlju.edu.cn;zhufu@jlju.edu.cn

摘要:

针对沥青混合料路用性能综合评价指标多层次和多因素并存的特点,提出了采用可拓层次分析法评价沥青混合料路用性能的方法。首先,采用区间数代替点值数构造判断矩阵,借助关联函数将可拓区间数单值化,计算权重向量,该方法较传统层次分析法更科学、更合理。然后,通过沥青混合料路用性能综合评价体系构建、可拓区间数判断矩阵确定、特征向量计算以及可拓区间数判断矩阵一致性检验等步骤,求得单层权重和总排序权重。最后,考虑了权重因素的影响,借助沥青混合料路用性能指标分级和赋分方法,对吉草高速公路3个标段沥青混合料的路用性能进行了综合评价。结果表明,23标段综合评分最高,路用性能最优。

关键词: 道路工程, 沥青混合料, 路用性能, 可拓层次分析法, 评价指标赋分

Abstract:

A method applying extension analytic hierarchy process (EAHP) was proposed to evaluate asphalt mixture road performance whose comprehensive evaluation index has the characteristics of multi-hierarchic and multi-factors. This method used interval number instead of point number to construct judgment matrix, and used correlation function to simplify extension interval number and calculate weight vector. Through the construction of comprehensive evaluation system of asphalt mixture pavement performance, the determination of extension interval number judgment matrix, the calculation of feature vector, and the consistency test, the single weight and total sorting weight were obtained. Based on the classification and grading method of asphalt mixture pavement performance index and considering the impact of weights, the asphalt mixture road performance in three sections of Jicao Expressway was comprehensively evaluated. The results show that the comprehensive score of 23 section is the highest and the road performance is the best.

Key words: road engineering, asphalt mixtures, pavement performance, extension analytic hierarchy process (EAHP) method, evaluation index score

中图分类号: 

  • U416

图1

沥青混合料路用性能评价体系"

表1

元素bij的取值规则"

标度值含 义
1表示两个元素相比,两者同等重要。
3表示两个元素相比,前者比后者稍微重要。
5表示两个元素相比,前者比后者明显重要。
7表示两个元素相比,前者比后者强烈重要。
9表示两个元素相比,前者比后者极端重要。

表2

沥青混合料路用性能分级标准"

指标级别
动稳定度/(次·mm-1>45003000~45002400~30002000~2400<2000
马歇尔稳定度/kN>1210~128~106~8<6
沥青饱和度/%69~70,70~7167~69,71~7365~67,73~7560~65,75~80<60,>80
低温弯曲破坏应变/με>35002800~30002500~28002500~2800<2500
浸水马歇尔残留稳定度/%>9590~9580~9060~80<60
冻融劈裂强度比/%>9385~9375~8560~75<60
空隙率/%3.75~4.0,4.0~4.53.5~3.75,4.5~5.03.0~3.5,5.0~6.02.5~3.0,6.0~7.0<2.5,>7.0

图2

AC-20沥青混合料级配曲线"

表3

各评价指标的实际取值"

指标07标段19标段23标段
动稳定度/(次·mm-1623128167350
马歇尔稳定度/kN11.213.1912.5
沥青饱和度/%70.666.269.7
低温弯曲破坏应变/με324232184982
浸水马歇尔残留稳定度/%9283.391.5
冻融劈裂强度比/%90.786.292.3
空隙率/%4.24.13.9

表4

O-A可拓区间数判断矩阵和权重"

O-AA1A2A3权重
A1〈1.0,1.0〉〈0.67,0.91〉〈1.1,1.5〉0.401
A2〈1.1,1.5〉〈1.0,1.0〉〈1.2,1.6〉0.447
A3〈0.67,0.91〉〈0.63,0.83〉〈1.0,1.0〉0.152

表5

A1-C可拓区间数判断矩阵和权重"

A1-CC1C2C3权重
C1〈1.0,1.0〉〈1.1,1.5〉〈1.2,1.6〉0.447
C2〈0.67,0.91〉〈1.0,1.0〉〈1.1,1.5〉0.401
C3〈0.63,0.83〉〈0.67,0.91〉〈1.0,1.0〉0.152

表6

A3-C可拓区间数判断矩阵和权重"

A3-CC5C6C7权重
C5〈1.0,1.0〉〈1.0,1.0〉〈1.1,1.5〉0.421
C6〈1.0,1.0〉〈1.0,1.0〉〈1.1,1.5〉0.421
C7〈0.67,0.91〉〈0.67,0.91〉〈1.0,1.0〉0.158

表7

特征向量x-和x+"

O-AA1-CA3-C
x-x+x-x+x-x+
0.3320.3240.3650.4330.3440.375
0.3650.4330.3320.3240.3440.375
0.3030.2420.3030.2420.3130.250

表8

k和m值"

O-AA1-CA3-C
k0.9980.9981.000
m1.0001.0001.000

表9

路用性能指标权重与评分"

指标权重07标段19标段23标段
动稳定度/(次·mm-10.17996.0770.40100.00
马歇尔稳定度/kN0.16184.00100.0090.00
沥青饱和度/%0.06196.0069.0097.00
低温弯曲破坏应变/με0.44782.2681.54100.00
浸水马歇尔残留稳定度/%0.06481.0064.9579.50
冻融劈裂强度比/%0.06485.6977.2588.69
空隙率/%0.22494.0092.0096.00

图3

沥青混合料路用性能综合评价结果"

1 Guo Rui, Teng-fei Nian, Li Ping, et al. Anti-erosion performance of asphalt pavement with a sub-base of cement-treated mixtures[J]. Construction and Building Materials, 2019, 223:278-287.
2 Huo Kai-fu, Ma Yan-wen, Liao Ke-jian. Application of gray system theory in SBS modified asphalt[J]. Petroleum Science and Technology, 2002, 20(3/4): 333-344.
3 Zhao Pin-hui, Fan Wei-yu, Zhang Ling-bo, et al. Research of gray relation entropy of oil-water interfacial property to chemical components of bitumen[J]. Journal of Dispersion Science and Technology, 2015, 36(5): 634-640.
4 Zheng Chuan-feng, Li Rui-ming, Hu Ming-jun, et al. Determination of low-temperature crack control parameter of binding asphalt materials based on gray correlation analysis[J]. Construction and Building Materials, 2019, 217: 226-233.
5 Bai Ji-wen, Li Shu-cai, Jiang Yu-jing, et al. An extension theoretical model for grouting effect evaluation in sand stratum of metro construction[J]. KSCE Journal of Civil Engineering, 2019, 23(5): 2349-2358.
6 Jamshidi A, Yazdani-Chamzini A, Yakhchali S H, et al. Developing a new fuzzy inference system for pipeline risk assessment[J]. Journal of Loss Prevention in the Process Industries, 2013, 26(1): 197-208.
7 李海莲, 林梦凯, 王起才. 高速公路沥青路面使用性能模糊区间评价方法研究[J]. 重庆交通大学学报:自然科学版,2020, 39(9): 80-87.
Li Hai-lian, Lin Meng-kai, Wang Qi-cai. Freeway Asphalt Pavement Performance Based on Fuzzy Interval Evaluation Method[J]. Journal of Chongqing Jiaotong University (Natural Science), 2020, 39(9): 80-87.
8 Li Bo, Ren Xiao-yu, Li Yan-bo, et al. Evaluation and selection of sealants and fillers using principal component analysis for cracks in asphalt concrete pavements[J]. Journal of Wuhan University of Technology (Materials Science), 2017, 32(2): 408-412.
9 陈仕周, 李山, 熊峰, 等.基于GA-灰色神经网络的沥青路面使用性能预测[J]. 重庆交通大学学报:自然科学版, 2019, 38(2): 44-50.
Chen Shi-zhou, Li Shan, Xiong Feng, et al. Forecasting of asphalt pavement performance based on GA-Gray neural network[J]. Journal of Chongqing Jiaotong University(Natural Science), 2019, 38(2): 44-50.
10 Xia Peng, Hu Xin-li, Wu Shuang-shuang, et al. Slope stability analysis based on group decision theory and fuzzy comprehensive evaluation[J]. Journal of Earth Science, 2020, 31(6):1121-1132.
11 Zhou Hong-an, Liu San-yang, Fang Xian-grong. Method for uncertain multi-attribute decision making with preference information in the form of interval numbers complementary judgment matrix[J]. Journal of Systems Engineering and Electronics, 2007, 18(2): 265-269.
12 魏翠萍, 张玉忠, 冯向前. 区间数判断矩阵的一致性检验及排序方法[J]. 系统工程理论与实践, 2007(10): 132-139.
Wei Cui-ping, Zhang Yu-zhong, Feng Xiang-qian. Deriving weights from interval comparison matrics based on consistency test[J]. System Engineering: Theory and Practice, 2007(10): 132-139.
13 朱建军. 层次分析法的若干问题研究及应用[D]. 沈阳:东北大学信息科学与工程学院, 2005.
Zhu Jian-jun. Research on some problems of the analytic hierarchy process and its application[D]. Shenyang: College of Information Science and Engineering, Northeastern University, 2005.
14 魏毅强, 刘进生, 王绪柱. 不确定型AHP中判断矩阵的一致性概念及权重[J]. 系统工程理论与实践, 1994(4): 16-22.
Wei Yi-qiang, Liu Jin-sheng, Wang Xu-zhu. Concept of consistence and weights of the judgement matrix in the uncertain type of AHP[J]. System Engineering: Theory and Practice, 1994(4): 16-22.
15 Saaty T L, Zhang L. The need for adding judgment in bayesian prediction[J]. International Journal of Information Technology & Decision Making, 2016, 15(4): 733-761.
16 董伟智. 季冻区高速公路沥青混合料矿料级配优化研究[D]. 长春:吉林大学交通学院, 2013.
Dong Wei-zhi. Study on the gradation optimization of asphalt mixture of expressway in seasonally frozen region[D]. Changchun: College of Transportation, Jilin University, 2013.
[1] 冉武平,陈慧敏,李玲,冯立群. 干湿循环下粗粒土回弹模量演变规律及模型预估和修正[J]. 吉林大学学报(工学版), 2021, 51(6): 2079-2086.
[2] 许哲谱,杨群. 基于实时路况地图的短期养护作业开始时间优化[J]. 吉林大学学报(工学版), 2021, 51(5): 1763-1774.
[3] 文畅平,任睆遐. 基于Lade模型的生物酶改良膨胀土双屈服面本构关系[J]. 吉林大学学报(工学版), 2021, 51(5): 1716-1723.
[4] 王元元,孙璐,刘卫东,薛金顺. 测量路面三维纹理双目重构算法的约束改进[J]. 吉林大学学报(工学版), 2021, 51(4): 1342-1348.
[5] 魏海斌,王相焱,王富玉,张勇. 基于振动成型AC-25沥青混合料力学性能及细观分析[J]. 吉林大学学报(工学版), 2021, 51(4): 1269-1276.
[6] 任敏达,丛林,孙思林,冯汉卿. 多次孔隙水压作用下沥青混合料性能演化试验[J]. 吉林大学学报(工学版), 2021, 51(4): 1277-1286.
[7] 朱伟刚,朱超,张亚球,魏海斌. 基于卷积格网曲面拟合滤波算法的数字高程模型构建及质量评价[J]. 吉林大学学报(工学版), 2021, 51(3): 1073-1080.
[8] 程永春,李赫,李立顶,王海涛,白云硕,柴潮. 基于灰色关联度的矿料对沥青混合料力学性能的影响分析[J]. 吉林大学学报(工学版), 2021, 51(3): 925-935.
[9] 彭勇,杨汉铎,陆学元,李彦伟. 基于离散元法的空隙特征对沥青混合料虚拟剪切疲劳寿命的影响[J]. 吉林大学学报(工学版), 2021, 51(3): 956-964.
[10] 宫亚峰,逄蕴泽,王博,谭国金,毕海鹏. 基于吉林省路况的新型预制装配式箱涵结构的力学性能[J]. 吉林大学学报(工学版), 2021, 51(3): 917-924.
[11] 阳恩慧,徐加秋,唐由之,李奥,邱延峻. 温拌剂对沥青断裂和老化性能的影响[J]. 吉林大学学报(工学版), 2021, 51(2): 604-610.
[12] 方宇,孙立军. 基于生存分析的城市桥梁使用性能衰变模型[J]. 吉林大学学报(工学版), 2020, 50(2): 557-564.
[13] 戴文亭,司泽华,王振,王琦. 剑麻纤维水泥加固土的路用性能试验[J]. 吉林大学学报(工学版), 2020, 50(2): 589-593.
[14] 王英,李萍,念腾飞,姜继斌. 基于动水冲刷作用的沥青混合料短期水损害特性[J]. 吉林大学学报(工学版), 2020, 50(1): 174-182.
[15] 王芳,李晓光,郭慧,胡佳. 基于驾驶员视觉兴趣区的沙漠草原公路曲线间直线段线形指标优化[J]. 吉林大学学报(工学版), 2020, 50(1): 114-120.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!