Image-Based Coarse-Aggregate Angularity Analysis and Evaluation
Publication: Journal of Materials in Civil Engineering
Volume 32, Issue 6
Abstract
The angularity of coarse aggregates significantly influences the performance of asphalt pavement. However, the research remains in the qualitative stage, and no universal evaluation standard has been proposed. This research proposes image-based methods to quantitatively analyze the angularity of coarse aggregates, thereby providing corresponding evaluation standards. First, aggregate levels of 4.75–9.5, 9.5–13.2, and 13.2–16 mm were obtained by sieving experiments, which were then abraded 0, 400, 800, and 1,200 times using a Los Angeles abrasion machine. Subsequently, the aggregate particle angularity parameters, including circumference, area, convex hull circumference, convex hull area, and total number of corner points, were calculated. Meanwhile, the aggregate imaging system (AIMS) gradient, skeleton extraction, convex hull, and uncompacted void content (UVC) methods were used to evaluate the angularities of the aggregates. Thereafter, the AC-13C-type mixture test specimens were formed using different angularity aggregates. On this basis, the angularity-related pavement skid resistance and rut resistance tests were conducted. The results show that the skeleton extraction method performs excellently for evaluating all aggregate levels, while the convex hull method is suitable for 9.5- and 13.2-mm aggregates, the AIMS gradient method is suitable for assessing 4.75- and 9.5-mm aggregates, and the UVC method is suitable for assessing 9.5- and 13.2-mm aggregates.
Get full access to this article
View all available purchase options and get full access to this article.
Data Availability Statement
The source data, models, or code are supposed to be optimized with respect to current versions of the developed models to improve their limitations. Some of the data, models, or code generated or used during the study are available from the corresponding author by request. Moreover, the demo code and the raw data of this paper can be found from the GitHub repository: https://github.com/juhuyan/aggregate-angularity-analysis.
Acknowledgments
This research is funded by National Natural Science Foundation of China (Grant No. 51978071) and Fundamental Research Funds for the Central Universities, Chang’An University (Grant Nos. 300102249301, 300102249306), China. This research is also supported by the Norman W. McLeod Chair in Sustainable Pavement Engineering, Centre for Pavement and Transportation Technology (CPATT), University of Waterloo, Waterloo, Ontario, Canada. Therefore, they are highly acknowledged. The authors would also like to express thanks to the anonymous reviewers for providing valuable comments.
References
AASHTO. 2011. Standard method of test for uncompacted void content of fine aggregate. AASHTO T 304. Washington, DC: AASHTO.
Arasan, S., S. Akbulut, and A. S. Hasiloglu. 2011. “The relationship between the fractal dimension and shape properties of particles.” KSCE J. Civ. Eng. 15 (7): 1219. https://doi.org/10.1007/s12205-011-1310-x.
Araujo, V. M., I. S. Bessa, and V. T. C. Branco. 2015. “Measuring skid resistance of hot mix asphalt using the aggregate image measurement system (AIMS).” Constr. Build. Mater. 98 (Nov): 476–481. https://doi.org/10.1016/j.conbuildmat.2015.08.117.
ASTM. 2006. Standard test methods for uncompacted void content of fine aggregate (as influenced by particle shape, surface texture, and grading). ASTM C1252. West Conshohocken, PA: ASTM International.
Bloom, M., J. Corriveau, P. Giordano, G. D. Lecakes, S. Mandayam, and B. Sukumaran. 2010. “Imaging systems and algorithms for the numerical characterization of three-dimensional shapes of granular particles.” IEEE Trans. Instrum. Meas. 59 (9): 2365–2375. https://doi.org/10.1109/TIM.2009.2034579.
Chen, S., X. Yang, Z. You, and M. Wang. 2016. “Innovation of aggregate angularity characterization using gradient approach based upon the traditional and modified Sobel operation.” Constr. Build. Mater. 120 (Sep): 442–449. https://doi.org/10.1016/j.conbuildmat.2016.05.120.
Cui, P., S. Wu, Y. Xiao, M. Wan, and P. Cui. 2015. “Inhibiting effect of layered double hydroxides on the emissions of volatile organic compounds from bituminous materials.” J. Cleaner Prod. 108 (Dec): 987–991. https://doi.org/10.1016/j.jclepro.2015.06.115.
Hassan, S. F., R. A. Rosen, and A. Schmidt-May. 2012. “Ghost-free massive gravity with a general reference metric.” J. High Energy Phys. 2012 (2): 26. https://doi.org/10.1007/JHEP02(2012)026.
Höhner, D., S. Wirtz, and V. Scherer. 2014. “A study on the influence of particle shape and shape approximation on particle mechanics in a rotating drum using the discrete element method.” Powder Technol. 253 (Feb): 256–265. https://doi.org/10.1016/j.powtec.2013.11.023.
Huang, B., X. Chen, X. Shu, E. Masad, and E. Mahmoud. 2009. “Effects of coarse aggregate angularity and asphalt binder on laboratory-measured permanent deformation properties of HMA.” Int. J. Pavement Eng. 10 (1): 19–28. https://doi.org/10.1080/10298430802068915.
Kong, D., Y. Xiao, S. Wu, N. Tang, J. Ling, and F. Wang. 2017. “Comparative evaluation of designing asphalt treated base mixture with composite aggregate types.” Constr. Build. Mater. 156 (Dec): 819–827. https://doi.org/10.1016/j.conbuildmat.2017.09.020.
Kouchaki, S., H. Roshani, J. A. Prozzi, and J. B. Hernandez. 2017. “Evaluation of aggregates surface micro-texture using spectral analysis.” Constr. Build. Mater. 156 (Dec): 944–955. https://doi.org/10.1016/j.conbuildmat.2017.08.174.
Kuang, D., B. Zhang, Y. Jiao, J. Fang, H. Chen, and L. Wang. 2017. “Impact of particle morphology on aggregate-asphalt interface behavior.” Constr. Build. Mater. 132 (Feb): 142–149. https://doi.org/10.1016/j.conbuildmat.2016.11.132.
Li, W., J. Huyan, and S. L. Tighe. 2018. “Pavement cracking detection based on three-dimensional data using improved active contour model.” J. Transp. Eng. Part B: Pavements 144 (2): 04018006. https://doi.org/10.1061/JPEODX.0000028.
Li, W., J. Huyan, S. L. Tighe, N.-N. Shao, and Z.-Y. Sun. 2017. “An innovative primary surface profile-based three-dimensional pavement distress data filtering approach for optical instruments and tilted pavement model-related noise reduction.” Road Mater. Pavement Des. 20 (1): 132–150. https://doi.org/10.1080/14680629.2017.1378118.
Limodin, N., L. Salvo, M. Suéry, and F. Delannay. 2009. “Assessment by microtomography of 2D image analysis methods for the measurement of average grain coordination and size in an aggregate.” Scr. Mater. 60 (5): 325–328. https://doi.org/10.1016/j.scriptamat.2008.10.030.
Mahboob Kanafi, M., A. Kuosmanen, T. K. Pellinen, and A. J. Tuononen. 2015. “Macro-and micro-texture evolution of road pavements and correlation with friction.” Int. J. Pavement Eng. 16 (2): 168–179. https://doi.org/10.1080/10298436.2014.937715.
Mahmoud, E., L. Gates, E. Masad, S. Erdoğan, and E. Garboczi. 2010. “Comprehensive evaluation of AIMS texture, angularity, and dimension measurements.” J. Mater. Civ. Eng. 22 (4): 369–379. https://doi.org/10.1061/(ASCE)MT.1943-5533.0000033.
Moaveni, M., E. Mahmoud, E. Ortiz, E. Tutumluer, and S. Beshears. 2014. “Use of advanced aggregate imaging systems to evaluate aggregate resistance to breakage, abrasion, and polishing.” Transp. Res. Rec. 2401 (1): 1–10. https://doi.org/10.3141/2401-01.
Moaveni, M., S. Wang, J. Hart, E. Tutumluer, and N. Ahuja. 2013. “Evaluation of aggregate size and shape by means of segmentation techniques and aggregate image processing algorithms.” Transp. Res. Rec. 2335 (1): 50–59. https://doi.org/10.3141/2335-06.
Praticò, F. G., and A. Astolfi. 2017. “A new and simplified approach to assess the pavement surface micro- and macrotexture.” Constr. Build. Mater. 148 (Sep): 476–483. https://doi.org/10.1016/j.conbuildmat.2017.05.050.
Su, D., and W. Yan. 2018. “Quantification of angularity of general-shape particles by using Fourier series and a gradient-based approach.” Constr. Build. Mater. 161 (Feb): 547–554. https://doi.org/10.1016/j.conbuildmat.2017.12.004.
Tabuchi, K., J. Blundell, M. R. Etherton, R. E. Hammer, X. Liu, C. M. Powell, and T. C. Südhof. 2007. “A neuroligin-3 mutation implicated in autism increases inhibitory synaptic transmission in mice.” Science 318 (5847): 71–76.
Vitton, S., J. P. Bausano, R. C. Williams, and V. Schafer. 2008. “Fine aggregate angularity from geotechnical perspective.” Supplement, Road Mater. Pavement Des. 9 (S1): 243–268. https://doi.org/10.1080/14680629.2008.9690168.
Wang, L., D. S. Lane, Y. Lu, and C. Druta. 2009. “Portable image analysis system for characterizing aggregate morphology.” Transp. Res. Rec. 2104 (1): 3–11. https://doi.org/10.3141/2104-01.
Wang, L., W. Sun, E. Tutumluer, and C. Druta. 2013. “Evaluation of aggregate imaging techniques for quantification of morphological characteristics.” Transp. Res. Rec. 2335 (1): 39–49. https://doi.org/10.3141/2335-05.
Yang, X., S. Chen, and Z. You. 2017. “3D voxel-based approach to quantify aggregate angularity and surface texture.” J. Mater. Civ. Eng. 29 (7): 04017031. https://doi.org/10.1061/(ASCE)MT.1943-5533.0001872.
Zhang, D., X. Huang, and Y. Zhao. 2012. “Investigation of the shape, size, angularity and surface texture properties of coarse aggregates.” Constr. Build. Mater. 34 (Sep): 330–336. https://doi.org/10.1016/j.conbuildmat.2012.02.096.
Information & Authors
Information
Published In
Journal of Materials in Civil Engineering
Volume 32 • Issue 6 • June 2020
Copyright
©2020 American Society of Civil Engineers.
History
Received: Apr 8, 2019
Accepted: Oct 7, 2019
Published online: Mar 27, 2020
Published in print: Jun 1, 2020
Discussion open until: Aug 27, 2020
Authors
Metrics & Citations
Metrics
Citations
Download citation
If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.