In many industrial applications, fluid flow around bluff bodies is confined between two
parallel walls. This paper provides a thorough review of the studies on the confined flow …

Reduced order modeling (ROM) has been widely used to create lower order,
computationally inexpensive representations of higher-order dynamical systems. Using …

This paper puts forth two new closure models for the proper orthogonal decomposition
reduced-order modeling of structurally dominated turbulent flows: the dynamic subgrid-scale …

This paper proposes a supervised machine learning framework for the non-intrusive model
order reduction of unsteady fluid flows to provide accurate predictions of non-stationary state …

We propose a data-driven filtered reduced order model (DDF-ROM) framework for the
numerical simulation of fluid flows. The novel DDF-ROM framework consists of two steps:(i) …

This paper focuses on improving the stability as well as the approximation properties of
reduced order models (ROMs) based on proper orthogonal decomposition (POD). The ROM …

Many reduced-order models are neither robust with respect to parameter changes nor cost-
effective enough for handling the nonlinear dependence of complex dynamical systems. In …

The aim of this paper is to provide a contribution to the analysis of the 3D, high Reynolds
number, turbulent, separated and reattached flow around a fixed sharp-edged rectangular …

The control of separated fluid flow by reduced-order models is studied using the two-
dimensional incompressible flow over an open square cavity at Reynolds numbers where …

This report has two main goals. First, it numerically investigates three velocity–pressure
reduced order models (ROMs) for incompressible flows. The proper orthogonal …