Differences in the surface texture of aggregate particles determined by 3D model derived from optic microscope measurements

Jozef Komačka, Zuzana Florková, Juraj Mužík


The surface texture of aggregate particles was investigated based on the 3D model of surface generated from the measurements by optic microscope. New software MicroSYS was developed to determine the wrapping plane of 3D model of aggregate using the function called “Thin plate spline“. New parameter for evaluation of surface texture of aggregate particle was proposed as the volumetric difference between two planes (wrapping plane and aggregate surface).

Applicability of this parameters was tested on two aggregate fractions (4/8 and 8/11) coming form 11 quarries in Slovakia. The tested aggregates differed from petrography point of view and ranged from soft to hard. The difference among the quarries and also between fractions of aggregate was found out. The better surface texture was observed for the finner fraction of aggregate. Simultaneously, the better results were determined in the case of aggregate produced from the ingeous intrusive or extrusive rocks comparing to the sedimentary carbonate rocks aggregate.


surface, texture, aggregate, 3D model, microscope

Full Text:



CEN, EN ISO 13473-5. (2009). Characterization of pavement texture by use of surface profiles. Part 5: Determination of megatexture. Brussels: CEN, 2009.

M. Kováč et al. 2012. Diagnostika parametrov prevádzkovej spôsobilosti vozoviek (Diagnostics of serviceabilityparameters of pavements), Žilina: University of Žilina, 2012. ISBN 978-80-554-0568-1. (in Slovak).

Y. Kim, L. Souza, 2009. Effects of Aggregate Angularity on Mix Design Characteristics and Pavement Performance. December 2009. (http://neltap.unl.edu/Documents/ NDOR/ Aggregate_Angula rity_on% 20Mix_Design.pdf)

E. Masad et al., 2005. Test Methods for Characterizing Aggregate Shape, Texture, and Angularity. Appendixes to NCHRP Report 555: May 2005. (http://onlinepubs.trb. org/onlinepubs/nchrp/nchrp_w80.pdf)

S. Li, S. Noureldin, K. Zhu, 2010. Safety Enhancement of the INDOT Network Pavement Friction Testing Program: Macrotexture and Microtexture Testing Using Laser Sensors. Publication FHWA/IN/ JTRP-2010/25. Joint Transportation Research Program, Indiana Department of Transportation and Purdue University, West Lafayette, Indiana. 2010.


J.K. Anochie-Boateng, J.J. Komba, G.M. Mvelase, 2013. Three-dimensional laser scanning technique to quantify aggregate and ballast shape properties. Construction and Building Materials, 43 (2013), 389–398.

A. B. Slimane et al., 2007. Characterization of road microtexture by means of image analysis. (http://hal.archivesouvertes.fr/docs/00/85/12/79/PDF/doc00013632.pdf)

N. H. Maerz, W. Zhou, 2001. Flat and Elongated: Advances Using Digital Image Analysis. Proceedings of the 9th Annual Symposium of the International Center for Aggregates Research (ICAR), Austin, TX, 2001.

E. Tutumluer, C. Rao, J. Stefanski, 2000. Video Image Analysis of Aggregates. Final Project Report, FHWA-IL-UI-278, Civil Engineering Studies UILU-ENG- 2000-2015, University of Illinois Urbana-Champaign, Urbana, IL (2000).

C. Rao, 2001. Development of 3-D Image Analysis Techniques to Determine Shape and Size Properties of Coarse Aggregate. Ph.D. Dissertation, Deptartment of Civil Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, 2001.

E. Masad, 2003. The Development of a Computer Controlled Image Analysis System for Measuring Aggregate Shape Properties. National Cooperative Highway Research Program NCHRP-IDEA Project 77 Final Report, Transportation Research Board, National Research Council, Washington, D.C, 2003.

H. Kim, C. Haas, A. Rauch, C. Browne, 2001. A Prototype Laser Scanner for Characterizing Size and Shape Properties in Aggregates. Proceedings of the 9th Annual Symposium of the International Center for Aggregate Research (ICAR), Austin, TX, 2001.

S. Tafesse et al. A new image analysis technique to quantify particle angularity. (http://kth.diva-portal.org/smash/get/diva2:499535/FULLTEXT01).

T. Al-Rousant et al. 2006. Evaluation of image analysis techniques for quantifying aggregate shape characteristics. 2006. (http://www.eis.hu.edu.jo/deanshipfiles/ pub1047172.pdf)

Z. Florková, 2012. Microtexture of coarsaggregate for asphalts. (Mikrotextúra hrubého kameniva pre asfaltové zmesi). Diploma thesis. Žilina: University of Žilina, 2012, 79p. (In Slovak).

C. Rao, E. Tutumluer, I. T. Kim, 2002. Quantification of Coarse Aggregate Angularity Based on Image Analysis. Transportation Research Record 1787, Transportation Research Board, National Research Council, Washington, D.C., 2002 pp.117-124.

E. Masad, D. Olcott, T. White, L. Tashman, L, 2001. Correlation of Fine Aggregate Imaging Shape Indices with Asphalt Mixture Performance. Transportation Research Record 1757. Transportation Research Board, National Research Council, Washington, D.C., 2001 pp. 148–156.

T. Fletcher, C. Chandan, E. Masad, K. Sivakumar, 2002. Measurement of Aggregate Texture and Its Influence on HMA Permanent Deformation. Journal of Testing and Evaluation, American Society for Testing and Materials, ASTM, Vol. 30, No. 6, 2002 pp. 524-531.

Z. Florková, J. Komačka, 2015. Usage of Microscope Method for Detection of Aggregate Microtexture. XXIV R-S-P seminar, Theoretical Foundation of Civil Engineering, Procedia Engineering, Volume 111, 2015, pp. 209-214.

G. McQuaid et al. 2013. Use of Close Range Photogrammetry to Assess the Micro-texture of Asphalt Surfacing Aggregate. International Journal of Pavements Conference, São Paulo, Brazil 2013.


  • There are currently no refbacks.

Copyright (c) 2015 Jozef Komačka, Zuzana Florková, Juraj Mužík

License URL: http://creativecommons.org/licenses/by-nc-nd/3.0/


Articles published in the journal of Materials Engineering / Materialove inzinierstvo are indexed in Directory of Open Access Journals, Index Copernicus International, Google Scholar, Open J-GateBielefeld Academic Search Engine, Academic journal database, The Open Access Digital Library, ABC Chemistry - free chemical information, New jour, Academic Keys, Ulrich's Serials Solutions (a Proquest Business), EBSCO Academic Search, SHERPA/RoMEOGenamics JournalSeek, New York University Libraries, TrueserialsProQuest Database: ProQuest Engineering Journals, Cornell University Library,Scientific indexing services. You can find us on Facebook, Google Groups and Linked IN.