Skip to main content

Applicability Evaluation of Similarity Principle in Discrete Element Analysis

  • Conference paper
  • First Online:
Proceedings of the 7th International Conference on Discrete Element Methods (DEM 2016)

Part of the book series: Springer Proceedings in Physics ((SPPHY,volume 188))

Included in the following conference series:

  • 5455 Accesses

Abstract

The discrete element method (DEM) that has recognized as a powerful numerical analysis tool is used in many scientific and engineering fields because it has a great potential to analyze the dynamic behavior of solid, granular, and fluidal materials in discrete manner. However, when DEM is applied to simulate massive material handling cases, the computational cost of DEM becomes a critical issue. Therefore, there are growing needs to reduce computational cost by finding mechanistically reasonable scale adjustment factor or method without losing the similarity or similitude of discrete element analysis for given laboratory or field conditions. In this paper, a mechanics-based scaling method for static liquid bridge model to reduce computational time is suggested by utilizing the existing scaling factor determination method with particle replacement concept. Although the method needs to be improved by introducing contact model property adjustment method for more realistic simulation, it can be applied for the static liquid bridge model to reasonably simulate the fluidal behaviour of particles with reduced computational time in discrete element analysis.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover 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. Feng, Y.T., Han, K., Owen, D.R.J., Loughran, J.: On upscaling of discrete element models: similarity principles. Int. J. Comput. Aided Eng. Softw. 26, 599–609 (2009)

    Article  Google Scholar 

  2. Feng, Y.T., Owen, D.R.J.: Discrete element modelling of large scale particle systems—I: exact scaling laws. Comput. Part. Mech. 2, 159–168 (2014)

    Article  Google Scholar 

  3. Fisher, R.A.: On the capillary forces in an ideal soil; correction of formulae given by W.B. Haines. J. Agric. Sci. 16, 492 (1926)

    Article  Google Scholar 

  4. Remy, B., Khinast, J.G., Glasser, B.J.: Wet granular flows in a bladed mixer: experiments and simulations of monodisperse spheres (2012). doi:10.1002/aic.13743

  5. Mikami, T., Kamiya, H., Horio, M.: Numerical simulation of cohesive powder behavior in a fluidized bed. Chem. Eng. Sci. 53, 1927–1998 (1998)

    Article  Google Scholar 

Download references

Acknowledgments

This research was supported by a grant (15TLRP-C099511-01) from Transportation and Logistics Research Program (TLRP) funded by Ministry of Land, Infrastructure and Transport of Korean government.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Taeyoung Yun .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer Science+Business Media Singapore

About this paper

Cite this paper

Yun, T., Park, H. (2017). Applicability Evaluation of Similarity Principle in Discrete Element Analysis. In: Li, X., Feng, Y., Mustoe, G. (eds) Proceedings of the 7th International Conference on Discrete Element Methods. DEM 2016. Springer Proceedings in Physics, vol 188. Springer, Singapore. https://doi.org/10.1007/978-981-10-1926-5_14

Download citation

  • DOI: https://doi.org/10.1007/978-981-10-1926-5_14

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-1925-8

  • Online ISBN: 978-981-10-1926-5

  • eBook Packages: Physics and AstronomyPhysics and Astronomy (R0)

Publish with us

Policies and ethics