1999
DOI: 10.1063/1.870080
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Non-Gaussianity and coherent vortex simulation for two-dimensional turbulence using an adaptive orthogonal wavelet basis

Abstract: We decompose turbulent flows into two orthogonal parts: a coherent, inhomogeneous, non-Gaussian component and an incoherent, homogeneous, Gaussian component. The two components have different probability distributions and different correlations, hence different scaling laws. This separation into coherent vortices and incoherent background flow is done for each flow realization before averaging the results and calculating the next time step. To perform this decomposition we have developed a nonlinear scheme bas… Show more

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Cited by 308 publications
(301 citation statements)
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“…The coherent vorticity field is obtained by filtering the wavelet coefficients, which thus exploits the intermittency of turbulence and yields a sparse representation. Examples of CVS can be found in [17][18][19][20] for two-dimensional turbulent flows and in [21] for three-dimensional turbulent mixing layers. For highly anisotropic turbulence, the wavelet-based simulation method is expected to become more efficient, if one takes into account the anisotropy and intermittency of the turbulence.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…The coherent vorticity field is obtained by filtering the wavelet coefficients, which thus exploits the intermittency of turbulence and yields a sparse representation. Examples of CVS can be found in [17][18][19][20] for two-dimensional turbulent flows and in [21] for three-dimensional turbulent mixing layers. For highly anisotropic turbulence, the wavelet-based simulation method is expected to become more efficient, if one takes into account the anisotropy and intermittency of the turbulence.…”
Section: Resultsmentioning
confidence: 99%
“…A wavelet-based turbulence model, the Coherent Vorticity Simulation (CVS), which is based on the deterministic computation of the coherent vorticity field using an adaptive wavelet basis, was proposed in [17,18], for a review we refer to [15]. The coherent vorticity field is obtained by filtering the wavelet coefficients, which thus exploits the intermittency of turbulence and yields a sparse representation.…”
Section: Resultsmentioning
confidence: 99%
“…Evolution of the vortices is slow relative to the background fluctuations which permits a separation of the flow into coherent and fluctuating components in the spirit of [20,21]. The highest amplitude coefficients of the wavelet transformed vorticity are assigned to the coherent component and the remainder to the incoherent component.…”
mentioning
confidence: 99%
“…Analysis of incompressible, e.g. [13][14][15], and compressible flow [11] show that coherent structures can be efficiently extracted and the statistics of the original fields is well preserved with a reduced set of degrees of freedom.…”
Section: Wavelet Filtered Equationsmentioning
confidence: 99%