Showing physics.flu-dynShow all
2 papers · 1 filter
physics.flu-dyn2025
Dynamics of a Data-Driven Low-Dimensional Model of Turbulent Minimal Pipe Flow
C. Ricardo Constante-Amores, Alec J. Linot, Michael D. Graham
The simulation of turbulent flow requires many degrees of freedom to resolve all the relevant times and length scales. However, due to the dissipative nature of the Navier-Stokes e…
physics.flu-dyn2025
Elastoinertial turbulence: Data-driven reduced-order model based on manifold dynamics
Manish Kumar, C. Ricardo Constante-Amores, Michael D. Graham
Elastoinertial turbulence (EIT) is a chaotic state that emerges in the flows of dilute polymer solutions. Direct numerical simulation (DNS) of EIT is highly computationally expensi…