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dc.contributor.authorFai, Thomas
dc.contributor.authorRycroft, Christopher
dc.date.accessioned2019-07-29T15:45:49Z
dc.date.issued2018-03
dc.identifier.citationFai, Thomas, and Christopher Rycroft. 2018. Lubricated Immersed Boundary Method in Two Dimensions. Journal of Computational Physics 356: 319-339.en_US
dc.identifier.issn0021-9991en_US
dc.identifier.urihttp://nrs.harvard.edu/urn-3:HUL.InstRepos:41012779*
dc.description.abstractMany biological examples of fluid–structure interaction, including the transit of red blood cells through the narrow slits in the spleen and the intracellular trafficking of vesicles into dendritic spines, involve the near-contact of elastic structures separated by thin layers of fluid. Motivated by such problems, we introduce an immersed boundary method that uses elements of lubrication theory to resolve thin fluid layers between immersed boundaries. We demonstrate 2nd-order accurate convergence for simple two-dimensional flows with known exact solutions to showcase the increased accuracy of this method compared to the standard immersed boundary method. Motivated by the phenomenon of wall-induced migration, we apply the lubricated immersed boundary method to simulate an elastic vesicle near a wall in shear flow. We also simulate the dynamics of a vesicle traveling through a narrow channel and observe the ability of the lubricated method to capture the vesicle motion on relatively coarse fluid grids.en_US
dc.description.sponsorshipEngineering and Applied Sciencesen_US
dc.language.isoen_USen_US
dc.publisherElsevier BVen_US
dash.licenseMETA_ONLY
dc.subjectPhysics and Astronomy (miscellaneous)en_US
dc.subjectComputer Science Applicationsen_US
dc.subjectimmersed boundary methoden_US
dc.subjectlubrication theoryen_US
dc.subjectfluid–structure interactionen_US
dc.subjecteccentric rotating cylindersen_US
dc.subjectwall-induced migrationen_US
dc.titleLubricated Immersed Boundary Method in Two Dimensionsen_US
dc.typeJournal Articleen_US
dc.description.versionVersion of Recorden_US
dc.relation.journalJournal of Computational Physicsen_US
dash.depositing.authorRycroft, Christopher
dc.date.available2019-07-29T15:45:49Z
dash.workflow.commentsFAR2017;en_US
dash.funder.nameNational Science Foundationen_US
dash.funder.nameU.S. Department of Energy (DOE)en_US
dash.funder.awardDMS-1502851en_US
dash.funder.awardDE- AC02-05CH11231en_US
dc.identifier.doi10.1016/j.jcp.2017.11.029
dc.source.journalJournal of Computational Physics
dash.source.page319-339
dash.contributor.affiliatedRycroft, Christopher
dash.contributor.affiliatedFai, Thomas


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