DNS runs of NS-governed Rayleigh-Bénard convection produce alternating vortical or zonal final states as time-step shrinks, implying small numerical noise controls turbulence statistics and creating a paradox for the neglect of disturbances.
A paradox of the Navier-Stokes turbulence
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abstract
The Navier-Stokes (NS) equations as a turbulence model have been widely applied in lots of fields. The NS equations contain such a fundamental assumption that all small physical/artificial disturbances could be neglected. Is this assumption correct? In this paper a two-dimensional Rayleigh-B\'{e}nard convection governed by the NS equations is predicted by traditional direct numerical simulation (DNS) using double precision arithmetic and a range of different time-steps. It is found that the final flow type tends either to vortical flow or zonal flow, whose statistics are completely different. Notably, these two flow types frequently alternate as the time-step is reduced to a very small value, suggesting that the time-step corresponding to each turbulent flow type should be densely distributed. Thus, stochastic numerical noise exerts a huge influence on the final flow type and statistics of numerically simulated NS turbulence because the time-step has a close relationship with numerical noise. This clearly indicates that small disturbances have significant influences on the NS turbulence, which therefore should not be neglected. This leads to a logical paradox for the NS turbulence, which is a great challenge for us, although a paradox often leads to some significant breakthroughs.
fields
physics.flu-dyn 1years
2025 1verdicts
UNVERDICTED 1representative citing papers
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A paradox of the Navier-Stokes turbulence
DNS runs of NS-governed Rayleigh-Bénard convection produce alternating vortical or zonal final states as time-step shrinks, implying small numerical noise controls turbulence statistics and creating a paradox for the neglect of disturbances.