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浙江大学学报(工学版)
J4  2012, Vol. 46 Issue (2): 263-268    DOI: 10.3785/j.issn.1008-973X.2012.02.013
    
Analysis of distribution properties of coarse aggregates in HMA
based on delaunay triangulation
WANG Xin-fei1, HUANG Zhi-yi1, LIU Zhuo1, ZHU Xing-yi2, XU-Wei1
1. College of Civil Engineering and Architecture, Zhejiang University, Hangzhou 310058, China;
2. Shanghai Institute of Applied Mathematics and Mechanics, Shanghai University, Shanghai 200072, China
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Abstract  

To investigate the microstructure of asphalt concrete, a new method was proposed to analyze the distribution properties of coarse aggregates. Based on the digital image processing and computational geometry, delaunay triangulation method was used to generate the centroid of the coarse aggregates which square sieve size larger than 2.36mm. Then, coarse aggregateasphalt bind area ratio (A1/A2) for each delaunay triangle was calculated by statistics theory. The A1/A2 varies with different gradations, therefore, it can be used to represent the local character of the hot mixture asphalt ( HMA ) microstructure . According to the statistic analysis, it indicates that the total mass and each graded mass of the coarse aggregates both significantly influence the microstructural character of HMA. The central tendency and skewness of A1/A2 is helpful to judge the dense degree of the coarse aggregate skeleton, and the nonparametric tests can further provide the possibility of classifying the microstructure of the HMA. By comparing three different gradations, such as stone matrix asphalt(SMA), open graded friction course(OGFC), and superpave(SUP), it shows SMA has the largest dense degree of coarse aggregates distribution, and SUP appears the least dense degree characteristic. Furthermore, SMA and OGFC have similar type of microstructure while SUP’s type is different from others.

Published: 20 March 2012
CLC:  U 414  
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Cite this article:

WANG Xin-fei, HUANG Zhi-yi, LIU Zhuo, ZHU Xing-yi, XU-Wei. Analysis of distribution properties of coarse aggregates in HMA
based on delaunay triangulation. J4, 2012, 46(2): 263-268.

URL:

http://www.zjujournals.com/eng/10.3785/j.issn.1008-973X.2012.02.013     OR     http://www.zjujournals.com/eng/Y2012/V46/I2/263


Delaunay三角网格的沥青混合料粗集料分布特性

为研究沥青混合料的细微观结构特征,提出粗集料分布特性的量化方法和指标.基于数字图像处理技术对粒径大于2.36 mm的沥青混合料粗集料质心进行delaunay三角剖分,建立三角单元内A1/A2（集料-胶浆面积比）参数表征细观结构局域特征,通过对A1/A2统计特性的描述、分析以及概率形式的统计推断,得到粗集料整体分布特性的量化与分析结果.研究表明,不同级配之间粗集料的总量及级配各档位质量分布的差异性将显著影响细观结构特征,如沥青玛蹄脂碎石混合料（SMA）、开级配抗滑磨耗层混合料（OGFC）和高性能路面沥青混合料（SUP） 3种级配粗集料的平均紧密程度呈递减趋势.此外,给出A1/A2参数的集中趋势指标和偏态指标,并在此基础上提出非参数检验方法对沥青混合料细观结构进行对比,评判多种级配细观结构的嵌挤紧密特征的异同,认为SMA和OGFC的细观嵌挤特征类似,而SUP和SMA以及OGFC相比细观结构更趋于分散.

［1］ YUE Z Q, BEKKING W, MORIN I. Application of digital image processing to quantitative study of asphalt concrete microstructure ［C］ ∥ Transportation Research Record 1995. Washington D C: TRB,1995: 53-60.
 ［2］ RAMITHA W, DAYAKAR P. Application of Fourier analysis to digital imaging for particle shape analysis ［J］. Journal of Computing in Civil Engineering,2004,18(1),2-9.
 ［3］ MASAD E, MUHUNTHAN E, SHASHIDHAR E, et al. Internal structure characterization of asphalt concrete using image analysis ［J］. Journal of Computing in Civil Engineering,1999,13(2): 88-95.
 ［4］ KASTHURIRANGAN G, NAGA S, ZHONG X X. Attempt at quantifying the degree of compaction in HMA using image analysis ［C］ ∥Proceedings of the Sessions of the GeoFrontiers 2005. Austin:ASCE Geotechnical Special Publication, 2005: 225-239.
 ［5］ 李智,虞将苗,徐伟,等.沥青混合料旋转压实效果的数字图像分析［J］.哈尔滨建筑大学学报,2002, 35 (6): 120-124.
 LI Zhi, YU Jiangmiao, XU Wei, et al. Digital image analysis of gyratory compacted asphalt mixture for compacting effect evaluation ［J］. Journal of Harbin University of Civil Engineering and Architecture, 2002, 35(6): 120-124.
 ［6］ 张肖宁,李智,虞将苗.沥青混合料的体积组成及其数字图像处理技术［J］.华南理工大学学报:自然科学版, 2002,30(11): 113-118.
 ZHANG Xiaoing, LI Zhi, YU Jiangmiao. Evaluating the volumetric properties of asphalt mixtures with digital image processing technique ［J］. Journal of South China University of Technology :Natural Science, 2002,30(11): 113-118.
 ［7］ 李智,徐伟,王绍怀,等.不同压实成型沥青混合料的数字图像分析［J］.土木工程学报,2003,36(12): 6873.LI Zhi, XU Wei, WANG Shaohuai, et al. Digital image analysis of compacted asphalt mixture with different means ［J］.China Civil Engineering Journal,2003,36(2): 68-73.
 ［8］ 李芬,沈成武,吴少鹏. 基于CT图像的沥青混合料分形特征的研究［J］. 华中科技大学学报: 城市科学版2006,23(2): 52-55.
 LI Fen, SHEN Chenwu, WU Shaopeng. Study on fractal characteristics of asphalt mixture based on CT image ［J］.Journal of Huazhong University of Science and Technology: Urban Science Edition,2006,23(2): 52-55.
 ［9］ 彭勇,杨宇亮,董瑞琨,等.沥青混合料的细观结构分析软件MASAC指标体系［J］.重庆建筑大学学报,2007,29 (3): 115-119.
 PENG Yeng, YANG Yuliang, DONG Ruikun, SUN Lijun, et al. Index system of submicrostructure analysis system of asphalt concrete(MASAC) ［J］. Journal of Chongqing Jianzhu University,2007,29(3): 115-119.
 ［10］ 王绍怀,李智,吴文亮,等. 沥青混合料数字图像分形特性分析［J］.中外公路, 2009, 29(2): 214-217.
 WANG Shaohuai, LI Zhi, WU Wanliang, et al. Analysis of the fractal dimension of HMA based on digital image processing ［J］. Journal of China and Foreign Highway,2009,29(2): 214-217
 ［11］ 周概容,张建华,王健.统计学原理［M］.天津: 南开大学出版社, 2002: 318-400
 ［12］ 朱胜,张小斐,朱冬辉,等.统计学原理［M］.北京: 中国统计出版社, 2009: 118-138
 ［13］ WANG X Y, VILIAM M. Autoregressive modelbased gear shaft fault diagnosis using th KolmogorovSmirnov test ［J］.Journal of Sound and Vibration,2009,327: 413-423.
 ［14］ CHINMAYA K, MOHANTY A R. Multistage gearbox condition monitoring using motor current signature analysis and KolmogorovSmirnov test ［J］. Journal of Sound and Vibration,2006,90: 337-368.
 ［15］ The Mathematical Society of Japan. Encylopedic dictionary of mathmatics ［M］. Cambridge, Massachusetts, and London, England: MIT, 1985: 250-265.
［16］管于华.统计学［M］.北京: 高等教育出版社, 2005: 93-96.
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