Simple computational strategies for more effective physics-informed neural networks modeling of turbulent natural convection
The high expressivity and agility of physics-informed neural networks (PINNs) make them
promising candidates for full fluid flow PDE modeling. An important question is whether this …
promising candidates for full fluid flow PDE modeling. An important question is whether this …
Data-driven modeling of the chaotic thermal convection in an annular thermosyphon
JC Loiseau - Theoretical and Computational Fluid Dynamics, 2020 - Springer
Identifying accurate and yet interpretable low-order models from data has gained a renewed
interest over the past decade. In the present work, we illustrate how the combined use of …
interest over the past decade. In the present work, we illustrate how the combined use of …
Physics-aware deep neural networks for surrogate modeling of turbulent natural convection
Recent works have explored the potential of machine learning as data-driven turbulence
closures for RANS and LES techniques. Beyond these advances, the high expressivity and …
closures for RANS and LES techniques. Beyond these advances, the high expressivity and …
Correlation of internal flow structure with heat transfer efficiency in turbulent Rayleigh–Bénard convection
To understand how internal flow structures manifest themselves in the global heat transfer,
we study the correlation between different flow modes and the instantaneous Nusselt …
we study the correlation between different flow modes and the instantaneous Nusselt …
Three-dimensional flow structures in turbulent Rayleigh–Bénard convection at low Prandtl number Pr= 0.03
T Wondrak, M Sieger, R Mitra, F Schindler… - Journal of Fluid …, 2023 - cambridge.org
Three-dimensional flow structures in turbulent Rayleigh–Bénard convection at low Prandtl
number Pr = 0.03 Page 1 J. Fluid Mech. (2023), vol. 974, A48, doi:10.1017/jfm.2023.794 …
number Pr = 0.03 Page 1 J. Fluid Mech. (2023), vol. 974, A48, doi:10.1017/jfm.2023.794 …
Enhanced heat transfer and reduced flow reversals in turbulent thermal convection with an obstructed centre
We report an experimental study about the effect of an obstructed centre on heat transport
and flow reversal by inserting an adiabatic cylinder at the centre of a quasi-two-dimensional …
and flow reversal by inserting an adiabatic cylinder at the centre of a quasi-two-dimensional …
Tristable flow states and reversal of the large-scale circulation in two-dimensional circular convection cells
We present a numerical study of the flow states and reversals of the large-scale circulation
(LSC) in a two-dimensional circular Rayleigh–Bénard cell. Long-time direct numerical …
(LSC) in a two-dimensional circular Rayleigh–Bénard cell. Long-time direct numerical …
Flow state transition induced by emergence of orbiting satellite eddies in two-dimensional turbulent Rayleigh–Bénard convection
ZY Gao, X Tao, SD Huang, Y Bao… - Journal of Fluid …, 2024 - cambridge.org
We report a numerical investigation of a previously noticed but less explored flow state
transition in two-dimensional turbulent Rayleigh–Bénard convection. The simulations are …
transition in two-dimensional turbulent Rayleigh–Bénard convection. The simulations are …
Stabilizing/destabilizing the large-scale circulation in turbulent Rayleigh–Bénard convection with sidewall temperature control
In this paper, we designed two different configurations with locally isothermal sidewalls,
where the temperature is set to be the bulk temperature, to control the large-scale circulation …
where the temperature is set to be the bulk temperature, to control the large-scale circulation …
Counter-flow orbiting of the vortex centre in turbulent thermal convection
Counter-flow orbiting of the vortex centre in turbulent thermal convection Page 1 J. Fluid Mech.
(2022), vol. 935, A19, doi:10.1017/jfm.2022.11 Counter-flow orbiting of the vortex centre in …
(2022), vol. 935, A19, doi:10.1017/jfm.2022.11 Counter-flow orbiting of the vortex centre in …