ADHIKARI Sanjeev, YOU Zhan-ping, HAO Pei-wen, Pei-wen Hai-nian. Image analysis of aggregate, mastic and air void phases for asphalt mixture[J]. Journal of Traffic and Transportation Engineering, 2013, 13(2): 1-9. doi: 10.19818/j.cnki.1671-1637.2013.02.001
Citation: ADHIKARI Sanjeev, YOU Zhan-ping, HAO Pei-wen, Pei-wen Hai-nian. Image analysis of aggregate, mastic and air void phases for asphalt mixture[J]. Journal of Traffic and Transportation Engineering, 2013, 13(2): 1-9. doi: 10.19818/j.cnki.1671-1637.2013.02.001

Image analysis of aggregate, mastic and air void phases for asphalt mixture

doi: 10.19818/j.cnki.1671-1637.2013.02.001
Funds:

National Natural Sciencc Foundation of China 51250110077

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  • Author Bio:

    ADHIKARI S,Malc,Assistant Profcssor of Morchcad Statc University,s.adhikari@morcheadstatc.edu.

  • Received Date: 2013-01-12
  • Publish Date: 2013-04-25
  • The shape characterization and spatial distribution of aggregate, mastic and air void phases for asphalt mixture were analyzed. Three air void percentage asphalt mixtures, 4%, 7% and 8%, respectively, were cut into cross sections and polished. X-ray scanning microscope was used to capture aggregate, mastic, air void phase by the image. The average of polygon diameter was chosen as a threshold to determine which aggregates would be retained on a given sieve. The aggregate morphological image from scanned image was utilized by digital image processing method to calculate the gradation of aggregate and simulate the real gradation. Analysis result shows that the air void of asphalt mixture has influence on the correlation between calculation gradation and actual gradation. When comparing 4.75 mm sieve size of 4%, 7% and 8% air void asphalt mixtures, 7% air void asphalt mixture has 55% higher than actual size gradation, 8% air void asphalt mixture has 8% higher than actual size gradation, and 4% air void asphalt mixture has 3.71% lower than actual size gradation. 4% air void asphalt mixture has the best correlation between calculation gradation and actual gradation comparing to other specimens. The air void percentage of asphalt mixture has no obvious influence on the air void orientation, and three asphalt mixtures show the similar air orientation along the same direction.

     

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  • [1]
    YOU Zhan-ping, BUTTAR W G. Discrete element modeling to predict the modulus of asphalt concrete mixtures[J]. Journalof Materials in Civil Engineering, 2004, 16(2): 140-146. doi: 10.1061/(ASCE)0899-1561(2004)16:2(140)
    [2]
    YOU Zhan-ping, ADHIKARI S, DAI Qing-li. Three-dimensional discrete element models for asphalt mixtures[J]. Journal of Engineering Mechanics, 2008, 134(12): 1053-1063. doi: 10.1061/(ASCE)0733-9399(2008)134:12(1053)
    [3]
    DESRUES J, CHAMBON R, MOKMI M, et al. Void ratio evolution inside shear bands in triaxial sand specimens studied by computed tomography[J]. Geotechnique, 1996, 46(3): 529-546. doi: 10.1680/geot.1996.46.3.529
    [4]
    RAYNAUD S, FABRE D, MAZEROLLE F, et al. Analysis of the internal structure of rocks and characterization of mechanical deformation by a non-destructive method: X-ray tomodensitometry[J]. Tectonophysics, 1989, 159(1/2): 149-159.
    [5]
    PARTL M N, FLISCH A, JONSSON M. Gyratory compaction analysis with computer tomography[J]. International Journal of Road Materials and Pavement Design, 2003, 4(4): 401-422. doi: 10.1080/14680629.2003.9689956
    [6]
    BRAZ D, LOPES R T, DA MOTTA L M G. Computedtomography: an evaluation of the effect of adding polymer SBS to asphaltic mixtures used in paving[J]. Applied Radiationand Isotopes, 2000, 53(4/5): 725-729.
    [7]
    MASAD E, JANDHYALA V K, DASGUPTA N, et al. Characterization of air void distribution in asphalt mixes using X-ray computed tomography[J]. Journal of Materials in Civil Engineering, 2002, 14(2): 122-129. doi: 10.1061/(ASCE)0899-1561(2002)14:2(122)
    [8]
    SHASHIDHAR N. X-ray tomography of asphalt concrete[J]. Transportation Research Record, 1999(1681): 186-192.
    [9]
    SHI B, MURAKAMI Y, WU Z, et al. Monitoring of internal failure evolution in soils using computerization X-ray tomography[J]. Engineering Geology, 1999, 54(3/4): 321-328.
    [10]
    TIAN Li, LIU Yu, WANG Bing-gang. 3DDEM model and digital restructure technique for asphalt mixture simulation[J]. Journal of Chang'an University: Natural Science Edition, 2007, 27(4): 23-27.
    [11]
    WANG L B, FROST J D, SHASHIDHAR N. Microstructure study of westrack mixes from X-ray tomography images[J]. Transportation Research Record, 2001(1767): 85-94.
    [12]
    YOU Zhan-ping, ADHIKARI S, KUTAY M E. Dynamic modulus simulation of the asphalt concrete using the X-ray computed tomography images[J]. Materials and Structures, 2009, 42(5): 617-630. doi: 10.1617/s11527-008-9408-4
    [13]
    ADHIKARI S, YOU Zhan-ping. 3D microstructural models for asphalt mixtures using X-ray computed tomography images[J]. International Journal of Pavement Research and Technology, 2008, 1(3): 94-99.
    [14]
    CLARK S M, MORRISON G R, SHI W D. The use of scanning transmission X-ray microscopy for the real-time study of cement hydration[J]. Cement and Concrete Research, 1999, 29(7): 1099-1102. doi: 10.1016/S0008-8846(99)00091-5
    [15]
    CONGALTON R G, GREEN K. Assessing the Accuracy of Remotely Sensed Data: Principles and Practices[M]. New York: Lewis Publishers, 1999.
    [16]
    RUSS J C. The Image Processing Handbook[M]. Ann Arbor: CRC Press Inc., 1995.
    [17]
    DAI Qing-li, SADD M H. Parametric model study of microstructure effects on damage behavior of asphalt samples[J]. International Journal of Pavement Engineering, 2004, 5(1): 19-30. doi: 10.1080/10298430410001720783
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