Colloquium: Changkyu Park (FPT)
19 augustus 2022 14:00 - Locatie: Lecture Room F, FACULTY OF AEROSPACE ENGINEERING, KLUYVERWEG 1, DELFT | Zet in mijn agenda
k-corrective frozen PANS: A data-driven stochastic turbulence closure model
Partially-averaged Navier-Stokes (PANS) is a young bridging method that fulfils the requirements set by Speziale. It can adjust how much of a flow field is to be resolved and modelled by changing the value of f_k. In this thesis, PANS is extended via a combination of two data-driven methods: k-corrective frozen RANS and data-driven stochastic closure simulation (DSCS). The k-corrective frozen RANS method aims to correct for the model errors in the k-equation and the anisotropy of the Reynolds stress tensor derived from the Boussinesq approximation. While DSCS also aims to correct for the anisotropy of the Reynolds stress tensor, it considers that PANS solves for the unresolved part of the flow field and thus corrects for the unresolved anisotropy. While PANS and the two data-driven methods have independently been proved to work as they were theoretically desired, combining these ideas has not yet been attempted.
Supervisor: Dr. Richard P. Dwight