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Please use this identifier to cite or link to this item: http://hdl.handle.net/11375/16836
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dc.contributor.authorKevlahan, N.K.-R.-
dc.contributor.authorVasilyev, O.V.-
dc.date.accessioned2015-03-18T18:37:00Z-
dc.date.available2015-03-18T18:37:00Z-
dc.date.issued2005-05-20-
dc.identifier.citationKevlahan, N.K.-R. & Vasilyev, O.V. 2005 An adaptive wavelet collocation method for fluid-structure interaction at high Reynolds numbers. SIAM J. Sci. Comput. 26(6), 1894-1915.en_US
dc.identifier.otherDOI.10.1137/S1064827503428503-
dc.identifier.urihttp://hdl.handle.net/11375/16836-
dc.description.abstractTwo mathematical approaches are combined to calculate high Reynolds number in- compressible fluid-structure interaction: a wavelet method to dynamically adapt the computational grid to flow intermittency and obstacle motion, and Brinkman penalization to enforce solid bound- aries of arbitrary complexity. We also implement a wavelet-based multilevel solver for the Poisson problem for the pressure at each time step. The method is applied to two-dimensional flow around fixed and moving cylinders for Reynolds numbers in the range 3 × 101 ≤ Re ≤ 105 . The compression ratios of up to 1000 are achieved. For the first time it is demonstrated in actual dynamic simulations that the compression scales like Re1/2 over five orders of magnitude, while computational complexity scales like Re. This represents a significant improvement over the classical complexity estimate of Re9/4 for two-dimensional turbulence.en_US
dc.description.sponsorshipNSERC. National Science Foundation under grants EAR-0242591 and ACI-0242457 and the National Aeronautics and Space Administration under grant NAG-1-02116.en_US
dc.language.isoenen_US
dc.publisherSociety for Industrial and Applied Mathematicsen_US
dc.relation.ispartofseriesSIAM J. SCI. COMPUT.;-
dc.subjectturbulenceen_US
dc.subjectwaveletsen_US
dc.subjectfluid-structure interactionen_US
dc.titleAN ADAPTIVE WAVELET COLLOCATION METHOD FOR FLUID-STRUCTURE INTERACTION AT HIGH REYNOLDS NUMBERSen_US
dc.typeArticleen_US
Appears in Collections:Mathematics & Statistics Publications

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