Feasibility of one side 3-D scanning for characterizing aggregate shape

  • Yinghao MiaoEmail author
  • Weixiao Yu
  • Jiaqi Wu
  • Sudi Wang
  • Linbing Wang


The objective of this paper is to investigate the feasibility of one side 3-D scanning (OSS) method for the shape characterization of aggregate particles in 3-D. Seventy two typical crushed stone particles and 77 typical gravel particles were selected for the investigation. Each selected particle was tested 3 times by the OSS method using a handheld 3-D laser scanner with randomly resting it on a flat plane. The size and shape indicators were calculated for each OSS test and the optimized results were also obtained by a proposed optimizing procedure in accordance with the results of th e 3 times of OSS tests. The whole digital particle (WDP) data of each selected particle was acquired at the same time and the WDP based size and shape indicators were calculated as the references of the feasibility investigation. The statistical tests of all sizes and shape indicators between each OSS based result set and WDP based result set were performed. The OSS based length (L) and thickness (T) show good reliability for each test. Not every OSS test can obtain reliable results of width (W). However, the optimized results of all the 3 OSS based size indicators have enough reliability. All the shape indicators derived from the optimized OSS based size indicators also have enough reliability. The OSS method with employing the optimized results based on multiple (3 or more) tests is statistically feasible. And it is a time-saving way which is suitable for extensive testing in engineering application.


Aggregate particle shape Aggregate particle size 3-D scanning Whole digital particle 


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  1. [1]
    Y. F. Liu, Y. C. Huang, W. J. Sun, H. Narr, D.S. Lane, L. B. Wang, Effect of coarse aggregate morphology on the mechanical properties of stone matrix asphalt, Constr. Build. Mater. 152 (2017) 48–56.CrossRefGoogle Scholar
  2. [2]
    H. N. Wang, Y. Bu, Y.Z. Wang, X. Yang, Z.P. You, The Effect of Morphological Characteristic of Coarse Aggregates Measured with Fractal Dimension on Asphalt Mixture’s High-Temperature Performance, Adv. Mater. Sci. Eng. 2016 (2016).Google Scholar
  3. [3]
    D. Castillo, S. Caro, M. Darabi, E. Masad, Influence of aggregate morphology on the mechanical performance of asphalt mixtures, Road Mater. Pave. Des. 19 (4) (2018) 972–991.CrossRefGoogle Scholar
  4. [4]
    Y. Liu, W. Sun, H. Nair, D. S. Lane, L. Wang, Quantification of aggregate morphologic characteristics with the correlation to uncompacted void content of coarse aggregates in Virginia, Constr. Build. Mater. 124 (2016) 645–655.CrossRefGoogle Scholar
  5. [5]
    P. Cui, Y. Xiao, B. Yan, M. Li, S. Wu, Morphological characteristics of aggregates and their influence on the performance of asphalt mixture, Constr. Build. Mater. 186 (2018) 303–312.CrossRefGoogle Scholar
  6. [6]
    F.T.S. Aragão, A.R.G. Pazos, L.M.G.D. Motta, Y.R. Kim, Effects of morphological characteristics of aggregate particles on the mechanical behavior of bituminous paving mixtures, Constr. Build. Mater. 123 (2016) 444–453.CrossRefGoogle Scholar
  7. [7]
    C. F. Mora, A. K. H. Kwan, H. C. Chan, Particle size distribution analysis of coarse aggregate using digital image processing, Cem. Concr. Res. 28 (6) (1998) 921–932.CrossRefGoogle Scholar
  8. [8]
    J. M. R. Fernlund, Image analysis method for determining 3-D shape of coarse aggregate, Cem. Concr. Res. 35 (8) (2005) 1629–1637.CrossRefGoogle Scholar
  9. [9]
    J. M. R. Fernlund, The effect of particle form on sieve analysis: a test by image analysis, Eng. Geology 50 (1–2) (1998) 111–124.CrossRefGoogle Scholar
  10. [10]
    E. Tutumluer, T. Pan, S. H. Carpenter, Investigation of aggregate shape effects on hot mix performance using an image analysis approach, Urbana: Department of Civil And Environmental Engineering, University of Illinois at Urbana-Champaign, 2005.Google Scholar
  11. [11]
    T. Al-Rousan, E. Masad, E. Tutumluer, T. Pan, Evaluation of image analysis techniques for quantifying aggregate shape characteristics, Constr. Build. Mater. 21 (5) (2007) 978–990.CrossRefGoogle Scholar
  12. [12]
    D. Zhang, X. Huang, Y. Zhao, Investigation of the shape, size, angularity and surface texture properties of coarse aggregates, Constr. Build. Mater. 34 (34) (2012) 330–336.CrossRefGoogle Scholar
  13. [13]
    E. J. Garboczi, Three-dimensional mathematical analysis of particle shape using X-ray tomography and spherical harmonics: Application to aggregates used in concrete, Cem. Concr. Res. 32 (10) (2002) 1621–1638.CrossRefGoogle Scholar
  14. [14]
    S. T. Erdogan, P. N. Quiroga, D. W. Fowler, H. A. Saleh, et al., Three-dimensional shape analysis of coarse aggregates: New techniques for and preliminary results on several different coarse aggregates and reference rocks, Cem. Concr. Res. 36 (9) (2006) 1619–1627.CrossRefGoogle Scholar
  15. [15]
    L. B. Wang, J. D. Frost, J. S. Lai, Three-Dimensional Digital Representation of Granular Material Microstructure from X-Ray Tomography Imaging, J. Comp. Civ. Eng. 18 (1) (2004) 28–35.CrossRefGoogle Scholar
  16. [16]
    E. Masad, S. Saadeh, T. Al-Rousan, E. Garboczi, D. Little, Computations of particle surface characteristics using optical and x-ray CT images, Computational Mater. Sci. 34 (4) (2005) 406–424.CrossRefGoogle Scholar
  17. [17]
    B. Zhao, J. Wang, 3D quantitative shape analysis on form, roundness, and compactness with µCT, Powder Tech. 291 (2016) 262–275.CrossRefGoogle Scholar
  18. [18]
    C. Jin, X. Yang, Z.P. You, K. Liu, Aggregate Shape Characterization Using Virtual Measurement of Three-Dimensional Solid Models Constructed from X-Ray CT Images of Aggregates, J Mater. Civ. Eng. 30 (3) (2018).Google Scholar
  19. [19]
    J. K. Anochie-Boateng, J. Komba, E. Tutumluer, Aggregate surface areas quantified through laser measurements for south African asphalt mixtures. J. Transport. Eng. ASCE 138 (8) (2012) 1006–1015.CrossRefGoogle Scholar
  20. [20]
    F. Lanaro, P. Tolppanen, 3D characterization of coarse aggregates, Engineering Geology. 65 (1) (2002) 17–30.CrossRefGoogle Scholar
  21. [21]
    H. Kim, C.T. Haas, A.F. Rauch, C. Browne, 3D image segmentation of aggregates from laser profiling, Comput Aided Civ. Inf. Eng. 18 (4) (2003) 254–63.CrossRefGoogle Scholar
  22. [22]
    A. Illerstrom, A 3-D Laser technique for size, shape and texture analysis of ballast, Msc Thesis, Royal Institute of Technology, Stockholm, Sweden, 1998.Google Scholar
  23. [23]
    Y. Hayakawa, T. Oguchi, Evaluation of gravel sphericity and roundness based on surface-area measurement with a laser scanner, J. Comp. Geosci. 3 (2005) 735–741.CrossRefGoogle Scholar
  24. [24]
    P. Tolppanen, A. Illerstrom, O. Stephansson, 3-D Laser analysis of size, shape and roughness of railway ballast, Research in Progress, Royal Institute of Technology, Sweden, 2008.Google Scholar
  25. [25]
    J. K. Anochie-Boateng, J. J. Komba, A. Maharaj, Evaluation of 3D laser device for characterizing shape and surface properties of aggregates used in pavements, 29th Annual Southern African Transportation Conference, Pretoria, August 2010.Google Scholar
  26. [26]
    J. K. Anochie-Boateng, J. J. Komba, G. M. Mvelase, Three-dimensional laser scanning technique to quantify aggregate and ballast shape properties, Constr. Build. Mater. 43 (43) (2013) 389–398.CrossRefGoogle Scholar
  27. [27]
    Y. Sun, B. Indraratna, S. Nimbalkar, Tree-dimensional characterisation of particle size and shape for ballast, Geotechnique Leters. 4 (3) (2014) 197–202.CrossRefGoogle Scholar
  28. [28]
    T. Pan, E. Tutumluer, Imaging-based direct measurement of aggregate surface area and its application in asphalt mixture design, Int. J. Pave. Eng. 11 (5) (2010) 415–428.CrossRefGoogle Scholar
  29. [29]
    Y. Liu, F. Gong, Z. You. H. Wang, Aggregate Morphological Characterization with 3D Optical Scanner versus X-Ray Computed Tomography, J. Mater.Civ.Eng. 30 (1) (2018) 1–9.CrossRefGoogle Scholar
  30. [30]
    H. Ge, A. Sha, Z. Han, X. Xiong, Three-dimensional characterization of morphology and abrasion decay laws for coarse aggregates, Constr. Build. Mater. 188 (2018) 58–67.CrossRefGoogle Scholar
  31. [31]
    Y. Miao, P. Song, X. Gong, Fractal and multifractal characteristics of 3D asphalt pavement macrotexture, J. Mater. Civil Eng. 26 (8) (2014) 04014033.CrossRefGoogle Scholar
  32. [32]
    F. Gong, X. Zhou, Z. You, Y. Liu, S. Chen, Using discrete element models to track movement of coarse aggregates during compaction of asphalt mixture, Constr. Build. Mater. 189 (2018) 338–351.CrossRefGoogle Scholar
  33. [33]
    J.C. Griffiths, Scientific Method in Analysis of Sediments. McGraw-Hill, New York, 1967.Google Scholar
  34. [34]
    D.F. Howarth, J.C. Rowlands, Quantitative assessment of rock texture and correlation with drillability and strength properties, Rock Mech. Rock Eng. 20 (1) (1987) 57–85.CrossRefGoogle Scholar
  35. [35]
    N.H. Maerz, Technical and Computational Aspects of the Measurement of Aggregate Shape by Digital Image Analysis, J. Mater. Civil Eng. 18 (1) 2004 10–18.Google Scholar
  36. [36]
    A. Kwan, C. F. Mora et al., Particle shape analysis of coarse aggregate using digital image processing, Cem. Concr. Res. 29 (9) (1999) 1403–1410.CrossRefGoogle Scholar
  37. [37]
    H. Wadell, Volume, shape, and roundness of rock particles, Journal of Geology. 40 (5) (1932) 443–451.CrossRefGoogle Scholar
  38. [38]
    W. C. Krumbein, Measurement and Geological Significance of Shape and Roundness of Sedimentary Particles, 11 (2) (1941) 64–72.Google Scholar
  39. [39]
    C. L. Lin, J. D. Miller, 3d characterization and analysis of particle shape using x-ray microtomography (xmt), Powder Technology. 154 (1) (2005) 61–69.CrossRefGoogle Scholar
  40. [40]
    R. D. Barksdale, M. A. Kemp, W. J. Sheffield, J. L. Hubbard, Measurement of aggregate shape, surface, roughness, Transp. Res. Rec. 1301 (1991) 107–116.Google Scholar
  41. [41]
    Z.Q. Yue, I. Morin, Digital image processing for aggregate orientation in asphalt concrete mixtures, Can J Civil Eng. 23 (2) (1996) 480–489.CrossRefGoogle Scholar
  42. [42]
    C. Kuo, R. S. Rollings, et al., Morphological study of coarse aggregates using image analysis, J. Mater. Civil Eng. 10 (3) (1998) 135–142.CrossRefGoogle Scholar
  43. [43]
    C. F. Mora, A. K. H. Kwan, Sphericity, shape factor, and convexity measurement of coarse aggregate for concrete using digital image processing, Cem. Concr. Res. 30 (3) (2000) 351–358.CrossRefGoogle Scholar
  44. [44]
    J. S. Chen, W. Hsieh, M. C. Liao, Effect of coarse aggregate shape on engineering properties of stone mastic asphalt applied to airport pavements, Inter. J. Pave. Res. Tech. 6(5) (2013) 595–601.Google Scholar
  45. [45]
    L. Wang, W. Sun, E. Tutumluer, C. Druta, Evaluation of aggregate imaging techniques for quantification of morphological characteristics, Transp. Res. Rec. 2335 (2013) 39–49.CrossRefGoogle Scholar

Copyright information

© Higher Education Press Limited Company 2019

Authors and Affiliations

  • Yinghao Miao
    • 1
    • 2
    Email author
  • Weixiao Yu
    • 1
  • Jiaqi Wu
    • 1
  • Sudi Wang
    • 1
  • Linbing Wang
    • 3
  1. 1.Beijing Key Laboratory of Transportation EngineeringBeijing University of TechnologyChaoyang District, BeijingChina
  2. 2.National Center for Materials Service SafetyUniversity of Science and Technology BeijingHaidian District, BeijingChina
  3. 3.Department of Civil and Environmental EngineeringVirginia Polytechnic Institute and State UniversityBlacksburgUSA

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