Numerical simulations have played a vital role in the design of modern combustion systems.
Over the last two decades, the focus of research has been on the development of the large …

In this work we present a Reduced Order Model which is specifically designed to deal with
turbulent flows in a finite volume setting. The method used to build the reduced order model …

Abstract Least-squares Petrov–Galerkin (LSPG) model-reduction techniques such as the
Gauss–Newton with Approximated Tensors (GNAT) method have shown promise, as they …

Modeling realistic fluid and plasma flows is computationally intensive, motivating the use of
reduced-order models for a variety of scientific and engineering tasks. However, it is …

In the literature on nonlinear projection-based model order reduction for computational fluid
dynamics problems, it is often claimed that due to modal truncation, a projection-based …

Numerical simulation of fluid flows requires important computational efforts but it is essential
in engineering applications. Reduced Order Model (ROM) can be employed whenever fast …

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 …

This work proposes a method for model reduction of finite-volume models that guarantees
the resulting reduced-order model is conservative, thereby preserving the structure intrinsic …

This work proposes a space--time least-squares Petrov--Galerkin (ST-LSPG) projection
method for model reduction of nonlinear dynamical systems. In contrast to typical nonlinear …

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