Low-order modelling of laminar flow regimes past a confined square cylinder

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Calibration of POD reduced‐order models using Tikhonov regularization (2009, methodology): “In these conditions, what can be expected from the ability of POD-based reduced-order models to represent the dynamics of the system at long times (bifurcation studies, for instance) or to predict the dynamics of the system for parameters of control different from those used to determine the POD bas”
Local improvements to reduced-order models using sensitivity analysis of the proper orthogonal decomposition (2009, methodology): “Galletti et al. (2004) have applied the POD technique to extract a basis from a mixed database that contains snapshots at different Reynolds numbers.”
Enablers for robust POD models (2009, unknown): “Otherwise, the same parameters as those introduced in [12] are used in this study, i.e. the blockage ratio β = L/H is equal to 0 .”
Interpolation among reduced‐order matrices to obtain parameterized models for design, optimization and probabilistic analysis (2009, methodology): “Interpolation can also be used to calibrate the ROM, as in [22], where a ROM is considered”
The need for a pressure-term representation in empirical Galerkin models of incompressible shear flows (2005, methodology): “In a recent study of wake flows, Galletti et al. (2004) use the same ansatz (C 1) for the pressure term.”