RT Journal Article
T1 Unsupervised modelling of a transitional boundary layer
A1 Foroozan, Firoozeh
A1 Guerrero Lozano, Vanesa
A1 Ianiro, Andrea
A1 Discetti, Stefano
AB A data-driven approach for the identification of local turbulent-flow states and of their dynamics is proposed. After subdividing a flow domain in smaller regions, the  K -medoids clustering algorithm is used to learn from the data the different flow states and to identify the dynamics of the transition process. The clustering procedure is carried out on a two-dimensional (2-D) reduced-order space constructed by the multidimensional scaling (MDS) technique. The MDS technique is able to provide meaningful and compact information while reducing the dimensionality of the problem, and therefore the computational cost, without significantly altering the data structure in the state space. The dynamics of the state transitions is then described in terms of a transition probability matrix and a transition trajectory graph. The proposed method is applied to a direct numerical simulation dataset of an incompressible boundary layer flow developing on a flat plate. Streamwise-spanwise velocity fields at a specific wall-normal position are referred to as observations. Reducing the dimensionality of the problem allows us to construct a 2-D map, representative of the local turbulence intensity and of the spanwise skewness of the turbulence intensity in the observations. The clustering process classifies the regions containing streaks, turbulent spots, turbulence amplification and developed turbulence while the transition matrix and the transition trajectories correctly identify the states of the process of bypass transition.
PB Cambridge University Press.
SN 0022-1120
YR 2021
FD 2021-10-19
LK https://hdl.handle.net/10016/34123
UL https://hdl.handle.net/10016/34123
LA eng
NO This work has been supported by: (i) the Madrid Government (Comunidad de Madrid)under the Multiannual Agreement with UC3M in the line of ‘Fostering Young Doctors Research’(PITUFLOW-CM-UC3M), and in the context of the V PRICIT (Regional Programme of Research andTechnological Innovation); (ii) the COTURB project (Coherent Structures in Wall-bounded Turbulence),funded by the European Research Council (ERC), under grant ERC-2014.AdG-669505.
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RD 1 sept. 2024