Abstract
The aggregate properties play a major role in the structural and functional performance of various pavement layers. The present chapter provides an introduction to aggregate sources, types, quality, and different size distribution requirements for pavement layers. Further, the chapter is categorized into two broad sections. The first section offers an extensive discussion on past and presently available conventional aggregate characterization practices, limiting values, and their significance. For example, the properties associated with the aggregate source (i.e., abrasion, impact, soundness, and absorption) and consensus or shape (i.e., FAA: fine aggregate angularity; coarse aggregate angularity, flatness and elongation, and sand equivalent) are discussed. The second part of the chapter talks about the application of various image-based techniques for aggregate shape characterization and its futuristic importance for the production of quality aggregates. The Digital Image Technique (DIT)-based methods like University of Illinois Aggregate Image Analyzer (UIAIA), Aggregate Image Measurement System (AIMS), Laser-based Aggregate Analysis System (LAAS), Videographer-40 (VDG-40), and CT-Scan are discussed. Moreover, a brief overview of various algorithms associated with digital image techniques is presented. The part also includes a comparative discussion on conventional and image-based shape characterization approaches. Additionally, the futuristic application of DIT in different aspects like aggregate production, quality control, and pavement forensic investigations are outlined. Overall, it is expected that the chapter will develop a broad understanding among researchers, practitioners, aggregate producers, and pavement stakeholders on the qualitative characterization of aggregates.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
AASHTO TP56 (2003) Standard test method for uncompacted void content of coarse aggregate as influenced by particle shape, surface texture, and grading, AASHTO TP56-99, Washington, DC
AASHTO T304 (2020) Uncompacted void content of fine aggregate. AASHTO T 304, Washington, DC
ASTM International (2019) D4791–19 standard test method for flat particles, elongated particles, or flat and elongated particles in coarse aggregate. West Conshohocken, PA; ASTM International
ASTM International (2014) D2419–14 standard test method for sand equivalent value of soils and fine aggregate. West Conshohocken, PA; ASTM International
Ahlrich RC (1996) Influence of aggregate properties on performance of heavy-duty hot-mix asphalt pavements. Transp Res Rec 1547(1):7–14
BS 812 Part-1 (1975) Methods for determination of particle size and shape, British Standards, UK
Diógenes LM, Bessa IS, Castelo Branco VT, Mahmoud E (2019 May 19) The Influence of stone crushing processes on aggregate shape properties. Road Mater Pavement Des 20(4):877–894
European Committee for Standardization (2012) EN 933-3:2012 tests for geometrical properties of aggregates-part 3:determination of particle shape flakiness index, CEN, Brussels
Gates LL (2010) Experimental evaluation of new generation aggregate image measurement system
Ge H, Sha A, Han Z, Xiong X (2018 Nov) Three-dimensional characterization of morphology and abrasion decay laws for coarse aggregates. Constr Build Mater 10(188):58–67
Greer M, Heitzman M (2017) Evaluation of the AIMS2 and micro-deval to characterize aggregate friction properties. NCAT Report
IRC 105 (2019) Specifications for dense bituminous macadam and bituminous concrete for airfield pavements, Indian roads congress, New Delhi, India
Jamkar SS, Rao CB (2004 Nov 1) Index of aggregate particle shape and texture of coarse aggregate as a parameter for concrete mix proportioning. Cem Concr Res 34(11):2021–2027
Kamani M, Ajalloeian R (2020) The effect of rock crusher and rock type on the aggregate shape. Constr Build Mater 230:117016
Kim HY, Haas CT, Rauch AF, Browne C (2001) A prototype laser scanner for characterizing size and shape parameters in aggregates. In International center for aggregates research 9th annual symposium: aggregates-concrete, bases and fines; national stone, sand & gravel association (NSSGA); Florida Rock Industries, no. Final Draft
Komba JJ, Anochie-Boateng JK, van der Merwe SW (2013 Jan) analytical and laser scanning techniques to determine shape properties of aggregates. Transp Res Rec 2335(1):60–71
Little DN, Allen DH, Bhasin A (2018) Modeling and design of flexible pavements and materials. Springer, Berlin
Masad E (2003 Feb) The development of a computer-controlled image analysis system for measuring aggregate shape properties. NCHRP-IDEA program project final report (NCHRP-IDEA Project 77)
Masad E, Fletcher T (2005) Aggregate Imaging System (AIMS): Basics and applications
Mishra V, Singh D (2021) Investigation on effects of aggregate roughness on bond strength of aggregate-bitumen systems. In IOP conference series: materials science and engineering, 2021 Feb 1, vol 1075, no 1. IOP Publishing, p 012011
Mix Design Methods for Asphalt Concrete (2014) Manual Series No. 2, The Asphalt Institute
MoRTH (Ministry of Road Transport and Highways) (2013) Manual for construction and supervision of bituminous works (fourth revision). Indian road congress, New Delhi, India
Neville AM (1995 Jan) Properties of concrete. Longman, London
Nikolaides A (2014) Highway engineering: pavements. CRC Press, Materials and Control of Quality
Oleksik K, Ostrowski K, Mrocheń D (2018) Determination of flakiness index (FI) and shape index (SI) using open source digital image analysis software. In IOP conference series: materials science and engineering, vol 427, no 1, p 012010
Prowell BD, Weingart R (1999) Precisions of flat and elongated particle tests ASTM D4791 and VDG-40 Videograder. Transp Res Rec 1673(1):73–80
Prowell BD, Zhang J, Ray Brown E (2005) Aggregate properties and the performance of superpave-designed hot mix asphalt, vol 539. Transportation research board
Rajan B, Singh D (2017 Sep) Understanding influence of crushers on shape characteristics of fine aggregates based on digital image and conventional techniques. Constr Build Mater 30(150):833–843
Rajan B, Singh D (2017) Comparison of shape parameters and laboratory performance of coarse aggregates produced from different types of crushing operations. J Mater Civ Eng 29(7):04017044
Rajan B, Singh D (2018) Quantify effects of stage crushing on dimensional distribution on basaltic aggregates using image technique. Int J Pavement Res Technol 12(5):497–507
Rajan B, Singh D (2020 Jan 28) Investigation on effects of different crushing stages on morphology of coarse and fine aggregates. Int J Pavement Eng 21(2):177–195
Rajan B, Singh D (2020 Mar 6) An image-based approach to capture influence of production mechanism on aggregate dimension distribution and breakage potential. Adv Civ Eng Mater 9(1):152–168
Rajan B, Singh D (2019) Role of image technique in shape characterization of aggregates for pavement construction. Indian road congress, vol 80(1), pp 5–14
Rajan B, Singh D, Maheshwari S, Garg G (2020) Understanding effects of crushing mechanism on aggregate morphology using AIMS. In Transportation research. Springer, Singapore, pp 725–735
Rao C, Tutumluer E, Stefanski JA (2001 Sep 1) Coarse aggregate shape and size properties using a new image analyzer. J Test Eval 29(5):461–471
Rice Z, Grenfell J, Lee J, Patrick S (2020) Road materials
Saeed A, Hall JW Jr, Barker W (2001) Performance-related tests of aggregates for use in unbound pavement layers. No. Project D4-23 FY'96
Sengoz B, Onsori A, Topal A (2014 Jun 1) Effect of aggregate shape on the surface properties of flexible pavement. KSCE J Civ Eng 18(5):1364–1371
Senior SA, Rogers CA (1991) Laboratory tests for predicting coarse aggregate performance in ontario. Trans. Res. Record 1301
Singh D, Rajan B, Guta HG (2019) Effects of aggregate shape on performance of gravel-aggregate hot-mix asphalt using digital image-based approach. J Mater Civ Eng 31(11):04019260
Su D, Yan WM (2018) quantification of angularity of general-shape particles by using fourier series and a gradient-based approach. Constr Build Mater 10(161):547–554
Vuong B, Jameson G, Fielding B (2008 Sep) Guide to pavement technology part 4J: aggregate and source rock
Woodward WDH (1995) Laboratory prediction of surfacing aggregate performance. PhD diss., University of Ulster
Yang X, Chen S, You Z (2017 Jul 1) 3D voxel-based approach to quantify aggregate angularity and surface texture. J Mater Civ Eng 29(7):04017031
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 Transport Research Group of India
About this chapter
Cite this chapter
Rajan, B., Singh, D. (2022). Development in Aggregate Quality Characterization Approaches for Pavement Construction. In: Maurya, A.K., Vanajakshi, L.D., Arkatkar, S.S., Sahu, P.K. (eds) Transportation Research in India. Springer Transactions in Civil and Environmental Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-16-9636-7_2
Download citation
DOI: https://doi.org/10.1007/978-981-16-9636-7_2
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-16-9635-0
Online ISBN: 978-981-16-9636-7
eBook Packages: EngineeringEngineering (R0)