A Comparative Study on the Performance of CFD/LBM-DEM Coupling in Predicting Soil Fluidization
Publication: Geo-Congress 2023
ABSTRACT
Coupling discrete element method (DEM) with computational fluid dynamics including Navier-Stokes theories (CFD-DEM) and Lattice Botlzmann method (LBM-DEM) has been used widely to model the response of soil foundation under increasing seepage flows; however, a comparison of these methods in predicting soil and fluid behaviours during fluidization has not been carried out in a rigorous way. The current paper will hence provide an evaluation on their performance by applying them to model a laboratory test where a sandy soil is subjected to fluidization process under increasing hydraulic gradient. A brief discussion about the differences in their theories and numerical algorithm is made before the DEM is used to simulate a representative soil element while NS-based CFD and LBM are used separately to model upward fluid flows. The mutual interactions between fluid and solid phases are carried out and update to each other through third-party platforms. The results show relatively similar hydraulic conductivity predicted by the two methods, which agrees well with the experimental data; however, the critical hydraulic gradient estimated by LBM-DEM coupling is found closer to the experimental value. The CFD-DEM coupling provides more stable computation through its averaged fluid variables, whereas LBM-DEM coupling can provide more detailed interactions between fluid and soil particles at micro-scale due to its high resolution. The study then suggests several conditions which can optimize the efficiency of using these methods in practical applications.
Get full access to this article
View all available purchase options and get full access to this chapter.
REFERENCES
Duong, T. V., Cui, Y.-J., Tang, A. M., Dupla, J.-C., Canou, J., Calon, N., and Robinet, A. 2014. Investigating the mud pumping and interlayer creation phenomena in railway sub-structure. Engineering Geology, 171: 45–58. doi: https://doi.org/10.1016/j.enggeo.2013.12.016.
Fleshman, M. S., and Rice, J. D. 2014. Laboratory modeling of the mechanisms of piping erosion initiation. Journal of Geotechnical & Geoenvironmental Engineering, 140(6): 04014017:1-12.
Hayashi, S., and Shahu, J. T. 2000. Mud pumping problem in tunnels on erosive soil deposits. Géotechnique, 50(4): 393–408. doi: https://doi.org/10.1680/geot.2000.50.4.393.
Indraratna, B., Phan, N. M., Nguyen, T. T., and Huang, J. 2021. Simulating Subgrade Soil Fluidization Using LBM-DEM Coupling. International Journal of Geomechanics, 21(5): 04021039. doi: https://doi.org/10.1061/(ASCE)GM.1943-5622.0001997.
Kafui, K. D., Thornton, C., and Adams, M. J. 2002. Discrete particle-continuum fluid modelling of gas–solid fluidised beds. Chemical Engineering Science, 57(13): 2395–2410.
Kloss, C., Goniva, C., Hager, A., Amberger, S., and Pirker, S. 2012. Models, algorithms and validation for opensource dem and cfdem. Progress in Computational Fluid Dynamics, an International Journal, 12(2): 140–152.
Kuo, C., Hsu, C., Wu, C., Liu, P., and Chen, D. 2017. Study on the piping path and mechanism of mud pumping in railway subgrade. In Proceedings of the 19th International Conference on Soil Mechanics and Geotechnical Engineering (ISSMGE), Seoul. pp. 1051–1054.
Nguyen, T. T., and Indraratna, B. 2020a. A coupled CFD-DEM approach to examine the hydraulic critical state of soil under increasing hydraulic gradient. ASCE International Journal of Geomechanics, 20(9): 04020138-1:15. https://doi.org/10.1061/(ASCE)GM.1943-5622.0001782.
Nguyen, T. T., and Indraratna, B. 2020b. The energy transformation of internal erosion based on fluid-particle coupling. Computers and Geotechnics, 121: 103475. https://doi.org/10.1016/j.compgeo.2020.103475.
Nguyen, T. T., and Indraratna, B. 2022. Fluidization of soil under increasing seepage flow: an energy perspective through CFD-DEM coupling. Granular Matter, 24(3): 80. https://doi.org/10.1007/s10035-022-01242-6.
Nguyen, T. T., Indraratna, B., Kelly, R., Phan, N. M., and Haryono, F. 2019. Mud pumping under railtracks: Mechanisms, Assessments and Solutions. Australian Geomechanics Journal, 54(4): 59–80.
Seil, P., Pirker, S., and Lichtenegger, T. 2018. Onset of sediment transport in mono- and bidisperse beds under turbulent shear flow. Computational Particle Mechanics, 5(2): 203–212. doi: https://doi.org/10.1007/s40571-017-0163-6.
Zhou, Z. Y., Kuang, S. B., Chu, K. W., and Yu, A. B. 2010. Discrete particle simulation of particle–fluid flow: model formulations and their applicability. Journal of Fluid Mechanics, 661: 482–510. doi: doi:10.1017/S002211201000306X.
Information & Authors
Information
Published In
History
Published online: Mar 23, 2023
Authors
Metrics & Citations
Metrics
Citations
Download citation
If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.