Technical Papers
Jan 15, 2018

Aggregate Shape Characterization Using Virtual Measurement of Three-Dimensional Solid Models Constructed from X-Ray CT Images of Aggregates

Publication: Journal of Materials in Civil Engineering
Volume 30, Issue 3

Abstract

The morphology of aggregates has a significant effect on the mechanical performance of aggregate-based materials such as asphalt concrete and cement concrete. This paper obtains shape indexes of aggregates, including aggregate sieve size, orientation, sphericity, and volume. The four indexes can be obtained through a virtual measurement method based on the minimum axis-aligned bounding box (AABB) of a three-dimensional (3D) solid model of aggregate. The methodology consists of three main steps: (1) the 3D solid model of each aggregate is developed from X-ray computed tomography (CT) images for aggregate cross sections, and the aggregate sphericity and volume are calculated; (2) the 3D aggregate model is rotated from the initial orientation to find a target orientation at which a minimum AABB occurs; based on that, the aggregate initial orientation is determined by the direction of the longest side of the minimum AABB and the angle rotated; and (3) the searching route for the cross section that determines the sieve size of the aggregate is computed, and the cross section with the longest length is identified to calculate the aggregate sieve size. The 3D solid models developed in this paper are very close to real aggregates, and contain intact geometric boundary information in their 3D internal structures. Laboratory measurement indicates that the virtual measurement method can significantly facilitate the accuracy, efficiency, and automation of aggregate shape characterization.

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Acknowledgments

The research reported in this paper is supported by the National Natural Science Foundation of China (Nos. 51508147 and 51108150), which is greatly appreciated.

References

ACIS version 7.0 [Computer software]. Spatial Technology, Broomfield, CO.
Alshibli, K. A., Druckrey, A. M., Al-Raoush, R. I., Weiskittel, T., and Lavrik, N. V. (2015). “Quantifying morphology of sands using 3D imaging.” J. Mater. Civ. Eng., 04014275.
Bessa, I. S., Branco, V., and Soares, J. B. (2012). “Evaluation of different digital image processing software for aggregates and hot mix asphalt characterizations.” Constr. Build. Mater., 37(3), 370–378.
Bruno, L., Parla, E., and Celauro, C. (2012). “Image analysis for detecting aggregate gradation in asphalt mixture from planar images.” Constr. Build. Mater., 28(1), 21–30.
Chandan, C., Sivakumar, K., Fletcher, T., and Masad, E. (2004). “Application of imaging techniques to geometry analysis of aggregate particles.” J. Comput. Civ. Eng., 75–82.
Coenen, A. R., Kutay, M. E., Sefidmazgi, N. R., and Bahia, H. U. (2012). “Aggregate structure characterization of asphalt mixtures using two-dimensional image analysis.” Road Mater. Pavement Des., 13(3), 433–454.
Fernlund, J. M. R. (2005). “Image analysis method for determining 3D shape of coarse aggregate.” Cem. Concr. Res., 35(8), 1629–1637.
Ghabchi, R., Zaman, M., Kazmee, H., and Singh, D. (2014). “Effect of shape parameters and gradation on laboratory-measured permeability of aggregate bases.” Int. J. Geomech., 0000397.
Hunter, A. E., Airey, G. D., and Collop, A. C. (2004). “Aggregate orientation and segregation in laboratory compacted asphalt samples.” 83rd Annual Meeting of the Trans Research Board, Transportation Research Board, Washington, DC.
Jin, C., Yang, X., and You, Z. P. (2015a). “Automated real aggregate modeling approach in discrete element method based on X-ray computed tomography images.” Int. J. Pavement Eng., 837–850.
Jin, C., You, Z. P., Zhang, W. H., and Liu, K. (2015b). “Microstructural modeling method for asphalt specimens supporting 3D adaptive and automatic mesh generation.” J. Comput. Civ. Eng., 04015013.
Kuo, C., Rollings, R., and Lynch, L. (1998). “Morphological study of coarse aggregates using image analysis.” J. Mater. Civ. Eng., 135–142.
Kutay, M. E., Arambula, E., Gibson, N., and Youtcheff, J. (2010). “Three-dimensional image processing methods to identify and characterise aggregates in compacted asphalt mixtures.” Int. J. Pavement Eng., 11(6), 511–528.
Masad, E., Al-Rousan, T., Bathina, M., McGahan, J., and Spiegelman, C. (2007). “Analysis of aggregate shape characteristics and its relationship to hot mix asphalt performance.” Road Mater. Pavement Des., 8(2), 317–350.
Masad, E., Muhunthan, B., Shashidhar, N., and Harman, T. (1999). “Internal structure characterization of asphalt concrete using image analysis.” J. Comput. Civ. Eng., 88–95.
Rokonuzzaman, M., and Sakai, T. (2012). “Evaluation of shape effects for rectangular anchors in dense sand: Model tests and 3D finite-element analysis.” Int. J. Geomech., 176–181.
Tashman, L., Masad, E., Peterson, B., and Saleh, H. (2001). “Internal structure analysis of asphalt mixes to improve the simulation of Superpave gyratory compaction to field conditions.” Asphalt Paving Technology, Association of Asphalt Paving Technologist, Clearwater Beach, FL.
Visual C++ version 6.0 [Computer software]. Microsoft, Redmond, WA.
Wang, H. N., Bu, Y., Wang, D., and Oeser, M. (2015). “3D characterization of the grain sphericity and angularity with the aid of computed tomography.” Bauingenieur, 90, 436–443.
Wang, H. N., Bu, Y., Wang, Y. Z., and You, Z. P. (2016). “The effect of morphological characteristic of coarse aggregates measured with fractal dimension on asphalt mixture’s high-temperature performance.” Adv. Mater. Sci. Eng., 2016, 1–9.
Wang, L. B., Sun, W. J., Tutumluer, E., and Druta, C. (2013). “Evaluation of aggregate imaging techniques for quantification of morphological characteristics.” Transp. Res. Rec., 2335, 39–49.
Yang, X., Chen, S. Y., and You, Z. P. (2017). “3D voxel-based approach to quantify aggregate angularity and surface texture.” J. Mater. Civ. Eng., 04017031.
Yang, X., You, Z. P., Jin, C., and Wang, H. N. (2016a). “Aggregate representation for mesostructure of stone based materials using a sphere growth model based on realistic aggregate shapes.” Mater. Struct., 49(6), 2493–2508.
Yang, X., You, Z. P., Wang, Z. G., and Dai, Q. L. (2016b). “Review on heterogeneous model reconstruction of stone-based composites in numerical simulation.” Constr. Build. Mater., 117, 229–243.
Zelelew, H. M., Almuntashri, A., Agaian, S., and Papagiannakis, A. T. (2013). “An improved image processing technique for asphalt concrete X-ray CT images.” Road Mater. Pavement Des., 14(2), 341–359.
Zelelew, H. M., and Papagiannakis, A. T. (2011a). “A volumetrics thresholding algorithm for processing asphalt concrete X-ray CT images.” Int. J. Pavement Eng., 12(6), 543–551.
Zelelew, H. M., and Papagiannakis, A. T. (2011b). “Wavelet-based characterisation of aggregate segregation in asphalt concrete X-ray computed tomography images.” Int. J. Pavement Eng., 12(6), 553–559.
Zhao, B. D., and Wang, J. F. (2016). “3D quantitative shape analysis on form, roundness, and compactness with μ-CT.” Powder Technol., 291, 262–275.

Information & Authors

Information

Published In

Go to Journal of Materials in Civil Engineering
Journal of Materials in Civil Engineering
Volume 30Issue 3March 2018

History

Received: May 25, 2017
Accepted: Sep 20, 2017
Published online: Jan 15, 2018
Published in print: Mar 1, 2018
Discussion open until: Jun 15, 2018

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Authors

Affiliations

Can Jin, Ph.D. [email protected]
Associate Professor, School of Automotive and Transportation Engineering, Hefei Univ. of Technology, 193 Tunxi Rd., Baohe District, Hefei, Anhui 230009, China (corresponding author). E-mail: [email protected]
Xu Yang, Ph.D. [email protected]
Lecturer, Dept. of Civil Engineering, Monash Univ., Clayton, VIC 3800, Australia. E-mail: [email protected]
Zhanping You, Ph.D., M.ASCE [email protected]
P.E.
Professor, Dept. of Civil and Environmental Engineering, Michigan Technological Univ., 1400 Townsend Dr., Houghton, MI 49931. E-mail: [email protected]
Kai Liu, Ph.D. [email protected]
Associate Professor, School of Automotive and Transportation Engineering, Hefei Univ. of Technology, 193 Tunxi Rd., Baohe District, Hefei, Anhui 230009, China. E-mail: [email protected]

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