However, current industry-standard CFD tools rely on steady-state turbulence models, which simulate engine components individually, leading to poorly approximated aerothermal interactions during ...

Turbulence modeling is one of the main sources of uncertainty in CFD simulations of technical flows. This is not surprising, as turbulence is the most complex phenomenon in classical physics.

Early in the history of CFD, engineers and scientists ... Much of the theoretical effort to understand turbulence is of this nature. We’ve mentioned subgrid models above, used to reduce the ...

While today’s CFD simulations are mainly based on Reynolds-Averaged Navier-Stokes (RANS) turbulence models, it is becoming increasingly clear that certain classes of flows are better covered by models ...

A coupled simulation of a full length 5x5 rod bundle sub-assembly. Porous media sub-models embedded in the coarse-grid baseline model to account for effects of spacers. Resolved CFD sub-model, ...

Acquiring an experimental database for connection between potential energy and turbulence in a gravity-driven environment ... within this CRP to attest the readiness of the CFD numerical models to ...

More information: Brodie Pearson et al, Log-Normal Turbulence Dissipation in Global Ocean Models, Physical Review Letters (2018). DOI: 10.1103/PhysRevLett.120.094501 Journal information: Physical ...