From limited observations to the state of turbulence: Fundamental difficulties of flow reconstruction
Tamer A. Zaki and Mengze Wang
Phys. Rev. Fluids 6, 100501 (2021) - Published 6 October, 2021
Is it possible to reconstruct all the scales of turbulence from limited observations? If so, what is the minimum resolution of observations for a successful reconstruction? How much information about a turbulent flow field can be decoded from an isolated, instantaneous measurement? These fundamental questions are addressed using variational data assimilation, where the observations are infused in simulations and are decoded using the Navier-Stokes equations. We highlight the “dual butterfly effect” and how the stochasticity of turbulence obfuscates the interpretation of measurements.
Wave damping by flexible marsh plants influenced by current
Xiaoxia Zhang and Heidi Nepf
Phys. Rev. Fluids 6, 100502 (2021) - Published 13 October, 2021
We develop a wave damping model based on a prediction of current- and wave-induced force on individual plants. The model captures the influence of reconfiguration on wave forces, the impact of current on wave group velocity, and the modification of in-canopy time-mean and wave orbital velocity associated with canopy drag, all of which affect the wave dissipation by vegetation. The model explains why weak current reduces wave dissipation while strong current increases wave dissipation, as observed both in the present and previous studies. Further, we explore the impact of plant flexibility and leaf morphology on wave dissipation over a wide range of current to wave velocity ratio.
Non-Boussinesq convection at low Prandtl numbers relevant to the Sun
Ambrish Pandey, Jörg Schumacher, and Katepalli R. Sreenivasan
Phys. Rev. Fluids 6, 100503 (2021) - Published 27 October, 2021
The figures on the left show the effect of the Prandtl number (Pr) of the Rayleigh-Bénard problem with Boussinesq conditions, for the same Grashof number of . Top: Pr = 12.73; bottom, Pr = . The plot on the right shows that low molecular Pr yields an inversely varying turbulent Prandtl number; that is, the flow behaves effectively as a high Prandtl number fluid. The data are for non-Boussinesq conditions. The qualitative effect is the same for the Boussinesq case as well, but the dependence has a weaker power law exponent of about .
Space-time energy spectra in turbulent shear flows
Ting Wu and Guowei He
Phys. Rev. Fluids 6, 100504 (2021) - Published 27 October, 2021
This article reviews the recent theories and models of space-time energy spectra in turbulent shear flows. The review is based on the picture of turbulent passage proposed by Taylor’s frozen-flow hypothesis and Kraichnan-Tennekes random sweeping hypothesis: convection of small-scale eddies by large-scale eddies with a certain distortion, which determines the peaks and bandwidths of space-time energy spectra. The data-refined stochastic models and data-based reconstruction models are examined. The linearized Navier-Stokes equations with random forcing for space-time energy spectra are also discussed.





















































