Assignment in Machine Learning for turbulence modeling
The course
MS135: Machine Learning and Data-Driven Modelling in Mechanics
is an elective course in
International MSc programme in Applied Mechanics
The assignment is described in Appendix
AE IMS135, Assignment on Machine Learning for Turbulence Modeling
in the
eBook
NN-train-BL.py
Channel flow a Re=5200, mean flow
Channel flow a Re=5200, turb. quantities
Channel flow a Re=5200, budget of k
Channel flow at Re550
Channel flow at Re550, turb. quantities
Boundary layer, mean flow
Boundary flow, turb. quantities
Boundary flow, load data
DNS data, wave
DNS data, hill
DNS data, expansion
DNS data, contraction
MTF073 CFD course
Heat Transfer course
Mechanics of fluids
Turbulence modeling
Compressible flow
OpenFOAM
PhD course: LES and DES using an in-house Python code
International MSc programme in Applied Mechanics
PhD course in CFD
Department of Mechanics and Maritime Sciences
Division of Fluid Dynamice