POD based reconstruction of subgrid stresses for wall bounded flows using neural networks

DOI10.1007/s10494-007-9124-0zbMath1154.76029OpenAlexW1990563418MaRDI QIDQ943909

Christian Wollblad, Lars Davidson

Publication date: 12 September 2008

Published in: Flow, Turbulence and Combustion (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10494-007-9124-0

zbMATH Keywords

boundary layerSmagorinsky modellinear stochastic estimationzonal hybrid method

Mathematics Subject Classification ID

Neural networks for/in biological studies, artificial life and related topics (92B20) Direct numerical and large eddy simulation of turbulence (76F65) Turbulent boundary layers (76F40)

Related Items

Toward neural-network-based large eddy simulation: application to turbulent channel flow

Uses Software

• Matlab

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• A combined large eddy simulation and time-dependent RANS capability for high-speed compressible flows
• A hybrid RANS/LES simulation of turbulent channel flow
• Zonal \(k\)-\(l\) based large eddy simulations.
• Hybrid LES-RANS: An approach to make LES applicable at high Reynolds number
• Large eddy simulation wall-modeling based on suboptimal control theory and linear stochastic estimation
• Evolution and modelling of subgrid scales during rapid straining of turbulence
• Turbulence, Coherent Structures, Dynamical Systems and Symmetry
• Hybrid LES‐RANS modelling: a one‐equation SGS model combined with a k–ω model for predicting recirculating flows
• Turbulent Flows