5 papers
Machine-learning wall model of large-eddy simulation for low- and high-speed flows over rough surfaces
Rong Ma, Adrian Lozano-Duran
We present a wall model for large-eddy simulation that incorporates surface-roughness effects and is applicable across low- and high-speed flows, for both transitional and fully ro…
The coherent structure of the energy cascade in isotropic turbulence
Danah Park, Adrian Lozano-Duran
The energy cascade, i.e. the transfer of kinetic energy from large-scale to small-scale flow motions, has been the cornerstone of turbulence theories and models since the 1940s. Ho…
Building-block flow model for computational fluids
Gonzalo Arranz, Yuenong Ling, Sam Costa +2
We introduce a closure model for wall-modeled large-eddy simulation (WMLES), referred to as the Building-block Flow Model (BFM). The foundation of the model rests on the premise th…
Limits to extreme event forecasting in chaotic systems
Yuan Yuan, Adrian Lozano Duran
Predicting extreme events in chaotic systems, characterized by rare but intensely fluctuating properties, is of great importance due to their impact on the performance and reliabil…
Machine-learning wall-model large-eddy simulation accounting for isotropic roughness under local equilibrium
Rong Ma, Adrian Lozano-Duran
We introduce a wall model (WM) for large-eddy simulation (LES) applicable to rough surfaces with Gaussian and non-Gaussian distributions for both transitionally and fully rough reg…