Simulation of Homogeneous Particle Size in Fluid Flow by Using DPM-DEM

  • Nurhanani A. AzizEmail author
  • M. H. Zawawi
  • N. M. Zahari
  • Aizat Abas
  • Aqil Azman
Conference paper
Part of the Water Resources Development and Management book series (WRDM)


The changes of shoreline profile are a natural phenomenon that occur on worldwide site and became concern of many researchers. Due to natural forces such as wind and wave of the seawater, the formation of shoreline can be changes and leads to erosion. Eventually, this work is aimed to conduct a simulation of sand sediment of 1 mm sand particles in the fluid flow of water using Discrete Particle Method-Discrete Element Method (DPM-DEM) to understanding the behavior of sand particle in the fluid flow. The simulation works reported that, the maximum velocity of 1 mm sand particle is 0.582127 m/s for every time step while the minimum velocity is varying for each time step. It is also found that, the lengthen of time will increase the possibility for the erosion to occur. The most critical area was determined through this simulation and it shows that the upper part of the sand sediment has the high risk that can leads to erosion.


Sand erosion DPM DEM 



This research work was supported by Tenaga Nasional Berhad seeding fund under grant No. U-TGRD-18-05 and U-TG-RD-19-14.


  1. 1.
    Harley, M.D., Kinsela, M.A., Sánchez-garcía, E., Vos, K.: Shoreline change mapping using crowd-sourced smartphone images. Coast. Eng. 150(April), 175–189 (2019)CrossRefGoogle Scholar
  2. 2.
    Jyothi, K., Mani, J.S., Pranesh, M.R.: Numerical modelling of flow around coastal structures and scour prediction. Ocean Eng. 29(4), 417–444 (2001)CrossRefGoogle Scholar
  3. 3.
    Ariffin, E.H., Sedrati, M., Akhir, M.F., Yaacob, R., Husain, M.L.: Open sandy beach morphology and morphodynamic as response to seasonal monsoon in kuala terengganu, Malaysia. J. Coast. Res. 75(sp1), 1032–1036 (2016)CrossRefGoogle Scholar
  4. 4.
    Adamo, F., De Capua, C., Filianoti, P., Lanzolla, A.M.L., Morello, R.: A coastal erosion model to predict shoreline changes. Meas. J. Int. Meas. Confed. 47(1), 734–740 (2014)CrossRefGoogle Scholar
  5. 5.
    Burningham, H., French, J.: Understanding coastal change using shoreline trend analysis supported by cluster-based segmentation. Geomorphology 282, 131–149 (2017)CrossRefGoogle Scholar
  6. 6.
    Stanchev, H., Stancheva, M., Young, R., Palazov, A.: Analysis of shoreline changes and cliff retreat to support Marine Spatial Planning in Shabla Municipality, Northeast Bulgaria. Ocean Coast. Manag. 156, 127–140 (2018)CrossRefGoogle Scholar
  7. 7.
    Martínez, C., Contreras-López, M., Winckler, P., Hidalgo, H., Godoy, E., Agredano, R.: Coastal erosion in central chile: a new hazard? Ocean Coast. Manag. 156, 141–155 (2018)CrossRefGoogle Scholar
  8. 8.
    Pourkerman, M., et al.: Tracking shoreline erosion of ‘at risk’ coastal archaeology: the example of ancient Siraf (Iran, Persian Gulf). Appl. Geogr. 101(October), 45–55 (2018)CrossRefGoogle Scholar
  9. 9.
    Besset, M., Anthony, E.J., Dussouillez, P., Goichot, M.: The impact of Cyclone Nargis on the Ayeyarwady (Irrawaddy) River delta shoreline and nearshore zone (Myanmar): towards degraded delta resilience? Comptes Rendus—Geosci. 349(6–7), 238–247 (2017)CrossRefGoogle Scholar
  10. 10.
    Noujas, V., Thomas, K.V., Ajeesh, N.R.: Shoreline management plan for a protected but eroding coast along the southwest coast of India. Int. J. Sediment Res. 32(4), 495–505 (2017)CrossRefGoogle Scholar
  11. 11.
    Agrawal, M., Khanna, S., Kopliku, A., Lockett, T.: Prediction of sand erosion in CFD with dynamically deforming pipe geometry and implementing proper treatment of turbulence dispersion in particle tracking. Wear 426–427, 596–604 (2019)CrossRefGoogle Scholar
  12. 12.
    Orona, J.D., Zorrilla, S.E., Peralta, J.M.: Sensitivity analysis using a model based on computational fluid dynamics, discrete element method and discrete phase model to study a food hydrofluidization system. J. Food Eng. 237(May), 183–193 (2018)CrossRefGoogle Scholar
  13. 13.
    Taylor, P., Mezhericher, M., Brosh, T., Levy, A.: Modeling of particle pneumatic conveying using DEM and DPM methods. Part. Sci. Technol. An Int. J. 29, 197–208 (2011)Google Scholar
  14. 14.
    Zahari, N.M., et al.: Introduction of discrete phase model (DPM) in fluid flow: a review. AIP Conf. Proc. 2030 (2018)Google Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  • Nurhanani A. Aziz
    • 1
    Email author
  • M. H. Zawawi
    • 1
  • N. M. Zahari
    • 1
  • Aizat Abas
    • 2
  • Aqil Azman
    • 2
  1. 1.Department of Civil EngineeringUniversiti Tenaga Nasional (UNITEN)Selangor Darul EhsanMalaysia
  2. 2.School of Mechanical EngineeringUniversiti Sains MalaysiaNibong TebalMalaysia

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