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Mixing effectiveness depends on the source ndash sink structure: simulation results

dc.contributor.authorOkabe, Takahideen_US
dc.contributor.authorEckhardt, Brunoen_US
dc.contributor.authorThiffeault, Jean-Lucen_US
dc.contributor.authorDoering, Charles R.en_US
dc.date.accessioned2009-10-08T15:35:13Z
dc.date.available2009-10-08T15:35:13Z
dc.date.issued2008en_US
dc.identifier.citationOkabe, Takahide; Eckhardt, Bruno; Thiffeault, Jean-Luc; Doering, Charles R (2008). "Mixing effectiveness depends on the source ndash sink structure: simulation results." Journal of Statistical Mechanics: Theory and Experiment 2008(7):P07018 (13pp). <http://hdl.handle.net/2027.42/64221>en_US
dc.identifier.issn1742-5468en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/64221
dc.description.abstract"Mixing refers to the homogenization of concentrations of passive scalars in fluids. On small scales it is dominated by diffusion and on large scales it is assisted by stirring. In the presence of scalar sources and sinks the concentration field remains inhomogeneous, but the combined effect of stirring and dissipation may lead to a statistically stationary state. One measure of the quality of mixing is then the standard deviation of the scalar concentration from the mean, and the effectiveness of a stirring velocity field can be gauged by comparing the concentration fluctuations in the presence of stirring to those in its absence. It was recently noted that the maximum possible effectiveness of any stirring depends on the detailed structure of the sources and sinks. We present results from particle-based simulations that confirm this strong source-sink dependence of the mixing enhancement by stirring."en_US
dc.format.extent1558084 bytes
dc.format.extent3118 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.titleMixing effectiveness depends on the source ndash sink structure: simulation resultsen_US
dc.typeArticleen_US
dc.subject.hlbtoplevelScienceen_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/64221/1/jstat8_07_p07018.pdf
dc.identifier.doihttp://dx.doi.org/10.1088/1742-5468/2008/07/P07018en_US
dc.identifier.sourceJournal of Statistical Mechanics: Theory and Experimenten_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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