A Comparative Study on the Performance of CFD/LBM-DEM Coupling in Predicting Soil Fluidization

Nguyen, TT; Indraratna, B; Rujikiatkamjorn, C; Haq, S

A Comparative Study on the Performance of CFD/LBM-DEM Coupling in Predicting Soil Fluidization

Nguyen, TT Indraratna, B

Rujikiatkamjorn, C

Haq, S

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Publisher:: American Society of Civil Engineers (ASCE)
Publication Type:: Conference Proceeding
Citation:: Geotechnical Special Publication, 2023, 2023-March, (GSP 342), pp. 51-61
Issue Date:: 2023-01-01

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Field	Value	Language
dc.contributor.author	Nguyen, TT
dc.contributor.author	Indraratna, B https://orcid.org/0000-0002-2346-8250
dc.contributor.author	Rujikiatkamjorn, C https://orcid.org/0000-0001-8625-2839
dc.contributor.author	Haq, S
dc.date.accessioned	2023-05-06T07:21:15Z
dc.date.available	2023-05-06T07:21:15Z
dc.date.issued	2023-01-01
dc.identifier.citation	Geotechnical Special Publication, 2023, 2023-March, (GSP 342), pp. 51-61
dc.identifier.isbn	9780784484708
dc.identifier.issn	0895-0563
dc.identifier.uri	http://hdl.handle.net/10453/170251
dc.description.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.
dc.language	en
dc.publisher	American Society of Civil Engineers (ASCE)
dc.relation.ispartof	Geotechnical Special Publication
dc.relation.ispartof	Geo-Congress 2023
dc.relation.isbasedon	10.1061/9780784484692.006
dc.rights	info:eu-repo/semantics/openAccess
dc.subject.classification	Geological & Geomatics Engineering
dc.title	A Comparative Study on the Performance of CFD/LBM-DEM Coupling in Predicting Soil Fluidization
dc.type	Conference Proceeding
utslib.citation.volume	2023-March
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Civil and Environmental Engineering
utslib.copyright.status	open_access	*
dc.date.updated	2023-05-06T07:21:14Z
pubs.issue	GSP 342
pubs.publication-status	Published
pubs.volume	2023-March
utslib.citation.issue	GSP 342

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.

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