AIAA SCITECH 2023 Forum 2023
DOI: 10.2514/6.2023-0676
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Wavelet-based resolvent analysis for statistically-stationary and temporally-evolving flows

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Cited by 4 publications
(5 citation statements)
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“…where (•) denotes a Fourier transform for a given streamwise and spanwise wavenumber pair (k x , k z ) composed with a wavelet transform in time, ρ is density, and p is the pressure. These transformed quantities are functions of wall-normal position y, and the wavelet scale and shift parameters α and β , which respectively determine the time interval and frequency range of the wavelet mode onto which we project our physical quantities [30]. The nonlinear term, denoted by f , is assumed to act as an exogenous forcing function on the velocity field.…”
Section: Spatio-temporal Resolvent Modesmentioning
confidence: 99%
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“…where (•) denotes a Fourier transform for a given streamwise and spanwise wavenumber pair (k x , k z ) composed with a wavelet transform in time, ρ is density, and p is the pressure. These transformed quantities are functions of wall-normal position y, and the wavelet scale and shift parameters α and β , which respectively determine the time interval and frequency range of the wavelet mode onto which we project our physical quantities [30]. The nonlinear term, denoted by f , is assumed to act as an exogenous forcing function on the velocity field.…”
Section: Spatio-temporal Resolvent Modesmentioning
confidence: 99%
“…We introduce the additional step of constraining the forcing along a wavelet-shaped pulse of any desired scale α and shift β using a temporal windowing matrix B [39,40,30]. We then take the singular value decomposition (SVD) of the combined operator…”
Section: And the Modified Time Derivative Operator Is Defined Asmentioning
confidence: 99%
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“…Carr, McAlister & McCroskey (1981) and Chandrasekhara, Carr & Wilder (1994), to cite a few) but the small size of the LSB, especially at higher Reynolds numbers, make their experimental analysis difficult (Raffel et al 2006). Recently, high-fidelity numerical simulations of dynamic stall have been able to confirm that the bursting of the LSB at the leading edge plays a crucial role in the onset of the dynamic stall at low-to-moderate Reynolds numbers (2.0 × 10 5 ) endeavour that has led to the recent extension of resolvent analysis to non-stationary flow configurations via wavelet transforms by Ballouz et al (2023).…”
Section: Introductionmentioning
confidence: 99%