Solutions to aliasing in time-resolved flow data
نویسندگان
چکیده
Avoiding aliasing in time-resolved flow data obtained through high-fidelity simulations while keeping the computational and storage costs at acceptable levels is often a challenge. Well-established solutions such as increasing sampling rate or low-pass filtering to reduce can be prohibitively expensive for large datasets. This paper provides set of alternative strategies identifying mitigating that are applicable even We show how time-derivative data, which directly from governing equations, used detect turn ill-posed problem removing into well-posed problem, yielding prediction true spectrum. Similarly, we spatial remove convective systems. also propose prevent when generating database, including method tailored computing nonlinear forcing terms arise within resolvent framework. These methods demonstrated using Ginzburg–Landau model large-eddy simulation subsonic turbulent jet. Wavenumber-frequency spectra component streamwise momentum computed on lipline near jet nozzle.
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ژورنال
عنوان ژورنال: Theoretical and Computational Fluid Dynamics
سال: 2022
ISSN: ['1432-2250', '0935-4964']
DOI: https://doi.org/10.1007/s00162-022-00630-1