skip to main content

Sloshing Simulation of Single-Phase and Two-Phase SPH using DualSPHysics

*Andi Trimulyono orcid scopus  -  Department of Naval Architecture, Faculty of Engineering, Diponegoro University, Indonesia
S Samuel scopus  -  Department of Naval Architecture, Faculty of Engineering, Diponegoro University, Indonesia
Muhammad Iqbal orcid scopus  -  Department of Naval Architecture, Faculty of Engineering, Diponegoro University, Indonesia
Open Access Copyright (c) 2020 KAPAL: Jurnal Ilmu Pengetahuan dan Teknologi Kelautan under http://creativecommons.org/licenses/by-sa/4.0.

Citation Format:
Cover Image
Abstract

The sloshing phenomenon is one of the free surface flow that can endanger liquid cargo carriers such as ships. Sloshing is defined as the resonance of fluid inside a tank caused by external oscillation. When sloshing is close to the natural frequency of the tank it could endanger ships. Particle method has the advantages to be applied because sloshing is dealing with free surface. One of the particle methods is Smoothed Particle Hydrodynamics (SPH). In this study, compressible SPH was used as a result of the pressure oscillation, which exists because of the effect of density fluctuation as nature of weakly compressible SPH. To reduce pressure noise, a filtering method, Low Pass Filter,  was used to overcome pressure oscillation. Three pressure sensors were used in the sloshing experiment with a combination of motions and filling ratios. Only one pressure sensor located in the bottom was used to validate the numerical results. A set of SPH parameters were derived that fit for the sloshing problem. The SPH results show a good agreement with the experiment’s. The difference between SPH and experiment is under 1 % for sway, but a larger difference shows in roll. Low pass filter technique could reduce pressure noise, but comprehensive method needs to develop for general implementation.

Fulltext View|Download
Keywords: Sloshing; SPH; DualSPHysics; low pass filter

Article Metrics:

  1. X. Y. Cao, F. R. Ming and A. M. Zhang, “Sloshing in a rectangular tank based on SPH simulation,”Applied Ocean Research.,vol. 47, 2014
  2. S. De Chowdhury and S. A. Sannasiraj, “Numerical simulation of 2D sloshing waves using SPH with diffusive terms,” Applied Ocean Research.,vol. 47, 2014
  3. B. Serván-Camas, J. L. Cercós-Pita, J. Colom-Cobb, J. García-Espinosa and A. Souto-Iglesias, “Time domain simulation of coupled sloshing–seakeeping problems by SPH–FEM coupling,” Ocean Engineering., vol. 123, pp. 383–396, 2016
  4. S. M. Longshaw and B. D. Rogers, “Automotive fuel cell sloshing under temporally and spatially varying high acceleration using GPU-based Smoothed Particle Hydrodynamics (SPH),” Advances in Engineering Software, vol. 83, pp. 31–44, 2015
  5. M. D. Green and J. Peiró, “Long duration SPH simulations of sloshing in tanks with a low fill ratio and high stretching,” Computers & Fluids, vol. 174, pp. 179–199, Aug. 2018
  6. M. Landrini, A. Colagrossi, and O. Faltinsen, “Sloshing in 2D Flows by the SPH Method,” 8th International Conference no Numerical Ship Hydrodynamics. Busan. Korea (Sept 2003), pp. 1-15, no. August, pp. 1–15, 2003
  7. Z. Chen, Z. Zong, H. T. Li, and J. Li, “An investigation into the pressure on solid walls in 2D sloshing using SPH method,” Ocean Engineering, vol. 59, pp. 129–141, 2013
  8. A. Trimulyono, H. Hashimoto, and A. Matsuda, “Experimental validation of single- and two-phase smoothed particle hydrodynamics on sloshing in a prismatic tank,” Journal of Marine Science and Engineering, vol. 7, no. 8, 2019
  9. A. Tafuni, I. Sahin, and M. Hyman, “Numerical investigation of wave elevation and bottom pressure generated by a planing hull in finite-depth water,” Applied Ocean Research, vol. 58, pp. 281–291, 2016
  10. A. J. C. Crespo et al., “DualSPHysics: Open-source parallel CFD solver based on Smoothed Particle Hydrodynamics (SPH),”Computer Physics Communications., vol. 187, pp. 204–216, 2015
  11. A. C. Crespo, J. M. Dominguez, A. Barreiro, M. Gomez-Gesteira, and D. Benedict, “GPUs , a New Tool of Acceleration in CFD : Efficiency and Reliability on Smoothed Particle Hydrodynamics Methods,” PLoS One, vol. 6, no. 6, 2011
  12. A. Mokos, B. D. Rogers, P. K. Stansby, and J. M. Domínguez, “Multi-phase SPH modelling of violent hydrodynamics on GPUs,” Computer Physics Communications, vol. 196, pp. 304–316, 2015
  13. A. Mokos, B. D. Rogers, and P. K. Stansby, “A multi-phase particle shifting algorithm for SPH simulations of violent hydrodynamics with a large number of particles,” Journal of Hydraulic Research, vol. 1686, no. September, pp. 1–20, 2016
  14. O. M. Faltinsen and A. N. Timokha, Sloshing. Cambridge University Press, 2009
  15. A. J. C. Crespo, M. Gomez-Gesteira, and R. A. Dalrymple, “Boundary Conditions Generated by Dynamic Particles in SPH Methods,” Computers, Material & Continua, vol. 5, no. 3, pp. 173–184, 2007
  16. G. R. Johnson, “Artificial viscosity effects for SPH impact computations,” International Journal of Impact Engineering, vol. 18, no. 5, pp. 477–488, 1996

Last update:

  1. Numerical simulation of water wave propagation using DualSPHysics

    A Trimulyono, B R Dhanureski, S Samuel, S Jokosisworo. IOP Conference Series: Earth and Environmental Science, 1298 (1), 2024. doi: 10.1088/1755-1315/1298/1/012002
  2. Surrogate model approach for stochastic prediction of sloshing-induced pressure based on SPH with FORM

    Tomoki Takami, Chong Ma. Ships and Offshore Structures, 18 (2), 2023. doi: 10.1080/17445302.2022.2032992
  3. Two-phase SPH for sloshing simulation in prismatic tank

    Andi Trimulyono, Deddy Chrismianto, Samuel, Muhammad Iqbal. IOP Conference Series: Materials Science and Engineering, 1034 (1), 2021. doi: 10.1088/1757-899X/1034/1/012058
  4. Sensitivity analysis of SPH parameters for long-distance water wave propagation

    A Trimulyono, I Abror, H Yudo, D B Purwanto. IOP Conference Series: Earth and Environmental Science, 1198 (1), 2023. doi: 10.1088/1755-1315/1198/1/012001
  5. Numerical Simulation of Long Duration Sloshing Using Smoothed Particle Hydrodynamics

    A Trimulyono, A F Rahardjo, I P Mulyatno, P Manik. IOP Conference Series: Materials Science and Engineering, 1096 (1), 2021. doi: 10.1088/1757-899X/1096/1/012033

Last update: 2024-04-15 12:51:20

No citation recorded.