Please use this identifier to cite or link to this item: https://doi.org/10.1016/S0010-4655(03)00296-0
DC FieldValue
dc.titleCharacterizing the spatiotemporal dynamics of turbulence
dc.contributor.authorGuan, S.
dc.contributor.authorLai, C.-H.
dc.contributor.authorWei, G.W.
dc.date.accessioned2014-10-16T09:17:59Z
dc.date.available2014-10-16T09:17:59Z
dc.date.issued2003-10-01
dc.identifier.citationGuan, S., Lai, C.-H., Wei, G.W. (2003-10-01). Characterizing the spatiotemporal dynamics of turbulence. Computer Physics Communications 155 (2) : 77-91. ScholarBank@NUS Repository. https://doi.org/10.1016/S0010-4655(03)00296-0
dc.identifier.issn00104655
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/95973
dc.description.abstractThis paper introduces a new wavelet-based approach for characterizing the dynamics of turbulence. The proposed approach reduces the dynamics of turbulence into a number of time series, each at a different spatial scale. The effectiveness of the proposed method is illustrated by freely decaying two-dimensional turbulence, which shows three distinct dynamic stages in the present wavelet representation. Increase of the wavelet energies in the large scale subbands characterizes the inverse energy transfer. Moreover, an anomalous transfer of the subband energy and enstrophy among spatial scales is observed during the transient stage. The decaying of the subscale enstrophies exhibits power law scaling and, interestingly, the decay rates increase monotonically with the refinement of the scales. © 2003 Elsevier B.V. All rights reserved.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1016/S0010-4655(03)00296-0
dc.sourceScopus
dc.typeArticle
dc.contributor.departmentPHYSICS
dc.contributor.departmentCOMPUTATIONAL SCIENCE
dc.description.doi10.1016/S0010-4655(03)00296-0
dc.description.sourcetitleComputer Physics Communications
dc.description.volume155
dc.description.issue2
dc.description.page77-91
dc.description.codenCPHCB
dc.identifier.isiut000185779900001
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