Skip to main content
SpringerLink
Log in

3D Simulations of Two-Component Mixes for the Prediction of Multi-component Mixtures’ Macrotexture: Intermediate Outcomes

  • Conference paper
  • First Online:
Computational Science and Its Applications – ICCSA 2021 (ICCSA 2021)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 12952))

Included in the following conference series:

Abstract

It is a consolidated knowledge that road macrotexture affects direct primary aspects related to road safety as friction or aquaplaning and secondary aspects related to environmental issues as noise or fuel consumption. These premises highlight how the prediction of road macrotexture is still an open research field for pavement designer, especially for theoretical models which would better describe the relationships with grading and volumetric properties, laying techniques and compaction energy.

In this paper intermediate outcomes about the theoretical prediction of road macrotexture are presented. In order to investigate the arrangement and compaction of a bituminous mix in a gyratory compactor, the Discrete Element Method (DEM) approach has been used to develop numerical simulations of two-component mixes. A large simulation campaign has been designed and performed and the Void Content diagram has been used for the macrotexture representation.

In analogy with the packing theory, the extension of the results obtained for the two-component mixtures into the multi-component systems, has been proposed and an effective novel theoretical method, based on a “revisiting” of the classical Void Content diagrams, for the macrotexture prediction has been performed. Finally, a numerical application of the method has been provided and the outcomes discussed.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Cairney, P., Styles, E.: A pilot study of the relationship between macrotexture and crash occurrence. Australian Transport Safety Bureau, Victoria, Australia (2005)

    Google Scholar 

  2. Gothie, M.: Relationship between surface characteristics and accidents. In: 3rd International Symposium on Pavement Surface Characteristics, Christchurch, New Zealand (1996)

    Google Scholar 

  3. Larson, R.: Consideration of Tire/Pavement Friction/Texture Effects on Pavement Structural Design and Materials Mix Design. Office of Pavement Technology. Federal Highway Administration (FHWA), Washington, D.C. (1999)

    Google Scholar 

  4. D’Apuzzo M., Evangelisti A., Nicolosi V.: An exploratory step for a general unified approach to labelling of road surface and tire wet friction. Elsevier, Accident Analysis Prevention 138, 105462 (2020). https://doi.org/10.1016/j.aap.2020.105462

  5. Nicolosi, V., D'Apuzzo, M., Evangelisti, A.: Cumulated frictional dissipated energy and pavement skid deterioration: Evaluation and correlation, Construction and Building Materials, Volume 263, 120020, ISSN 0950–0618. https://doi.org/10.1016/j.conbuildmat.2020.120020 (2020)

  6. D’Apuzzo, M., Evangelisti, A., Nicolosi, V.: Preliminary findings for a prediction model of road surface macrotexture. Procedia Soc. Behav. Sci. 53, 1110–1119 (2012). https://doi.org/10.1016/j.sbspro.2012.09.960.ISSN:1877-0428

    Article  Google Scholar 

  7. Evangelisti, A., D'Apuzzo, M., Nicolosi, V., Flintsch, G., De Leon Izeppi, E., Katicha, S., Mogrovejo, D.: Evaluation of Variability of Macrotexture Measurement with different Laser-based Devices. Airfield & Highway Pavement Conference (2015)

    Google Scholar 

  8. ASTM E965: Standard Test Method for Measuring Pavement Macrotex-ture Depth Using a Volumetric Technique. American Society for Testing and Materials In-ternational. PA, West Conshohocken: www.astm.org (2006)

  9. ASTM D6925–09: Standard test method for preparation and determination of the relative density of hot mix asphalt (HMA) specimens by means of the superpave gyratory compactor. ASTM International, West Conshohocken (2009)

    Google Scholar 

  10. EN 12697–10: Bituminous mixtures. Test methods for hot mix asphalt. Compactibility. ISBN 0 580 38964 2 (2002)

    Google Scholar 

  11. Furnas, C.C.: Relations Between Specific Volume, Voids and Size Composition in Systems of Broken Solids of Mixed Sizes. U.S. Bur. of Mines, Report of lnvestigations 2894, pp. 1–10 (1928)

    Google Scholar 

  12. Powers, T.C.: The Properties of Fresh Concrete. Wiley, New York, 664 pages (1968)

    Google Scholar 

  13. Lees, D.Y.: Rational design of continuous and intermittent aggregate grading for concrete. HRR N°, pp. 441–1973 (1973)

    Google Scholar 

  14. Perraton, D., Meunier, M., Carter, A.: Application des méthodes d'empilement granulaire à la formulation des Stones Matrix Asphalts (SMA). Bulletin des Laboratoires des Ponts et Chaussées n°270–271, pp. 87–108 (2007)

    Google Scholar 

  15. Cundall, P., Strack, O.: A discrete numerical model for granular assemblies. Dans Geotechinque 29(1), 47–65 (1979)

    Article  Google Scholar 

  16. Abbas, A., Masad, E., Papagiannakis, T., Harman, T.: Micromechanical modeling of the viscoelastic behavior of asphalt mixtures using the discrete-element method. Int. J. Geomech. 7(2), 131–139 (2007)

    Google Scholar 

  17. Adhikari, S., You, Z.: 3D discrete element models of the hollow cylin-drical asphalt concrete specimens subject to the internal pressure. Int. J. Pavement Eng. 11(5), 429–439 (2010)

    Article  Google Scholar 

  18. Di Renzo, A., Di Maio, F.P.: Comparison of contact-force models for the simulation of collisions in DEM-based granular flow codes. Chem. Eng. Sci. 59, 525–541 (2004)

    Article  Google Scholar 

  19. Collopa, A., McDowellb, G., Lee, Y.: Modelling dilation in an idealised asphalt mixture using discrete element modelling. Granular Matter 8(3–4), 175–184 (2006)

    Article  Google Scholar 

  20. D’Apuzzo, M., Evangelisti, A., Nicolosi, V.: Preliminary investigation on a numerical approach for the evaluation of road macrotexture. In: Gervasi, O., et al. (eds.) ICCSA 2017. LNCS, vol. 10405, pp. 157–172. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-62395-5_12

    Chapter  Google Scholar 

  21. EN 12697–31: Bituminous mixtures. Test methods for hot mix asphalt. Specimen preparation by gyratory compactor. ISBN 978 0 580 50689 5, (2007).

    Google Scholar 

  22. D’Apuzzo, M., Evangelisti, A., Santilli, D., Nicolosi, V.: Theoretical Development and Validation of a New 3D Macrotexture Index Evaluated from Laser Based Profile Measurements. In: Gervasi, O., et al. (eds.) ICCSA 2020. LNCS, vol. 12251, pp. 367–382. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-58808-3_27

    Chapter  Google Scholar 

Download references

Acknowledgments

The authors would like to thank the Silesian University of Technology di Gliwice (Poland), for the use the software licence.

Author information

Authors and Affiliations

  1. University of Cassino and Southern Lazio, Via G. Di Biasio 43, 03043, Cassino, Italy

    Mauro D’Apuzzo, Azzurra Evangelisti & Daniela Santilli

  2. University of Rome “Tor Vergata”, via del Politecnico 1, 00133, Rome, Italy

    Vittorio Nicolosi

Authors
  1. Mauro D’Apuzzo
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Azzurra Evangelisti
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Daniela Santilli
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Vittorio Nicolosi
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Mauro D’Apuzzo .

Editor information

Editors and Affiliations

  1. University of Perugia, Perugia, Italy

    Osvaldo Gervasi

  2. University of Basilicata, Potenza, Potenza, Italy

    Beniamino Murgante

  3. Covenant University, Ota, Nigeria

    Sanjay Misra

  4. University of Cagliari, Cagliari, Italy

    Chiara Garau

  5. University of Cagliari, Cagliari, Italy

    Ivan Blečić

  6. Monash University, Clayton, VIC, Australia

    David Taniar

  7. Kyushu Sangyo University, Fukuoka, Japan

    Bernady O. Apduhan

  8. University of Minho, Braga, Portugal

    Ana Maria A. C. Rocha

  9. Polytechnic University of Bari, Bari, Italy

    Eufemia Tarantino

  10. Polytechnic University of Bari, Bari, Italy

    Carmelo Maria Torre

Rights and permissions

Reprints and permissions

Copyright information

© 2021 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

D’Apuzzo, M., Evangelisti, A., Santilli, D., Nicolosi, V. (2021). 3D Simulations of Two-Component Mixes for the Prediction of Multi-component Mixtures’ Macrotexture: Intermediate Outcomes. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2021. ICCSA 2021. Lecture Notes in Computer Science(), vol 12952. Springer, Cham. https://doi.org/10.1007/978-3-030-86973-1_35

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-86973-1_35

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-86972-4

  • Online ISBN: 978-3-030-86973-1

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation