As climate change is exacerbated and existing resources are depleted, the need for
sustainable industries becomes ever so important. Aviation is not an exception. Despite the …

This review discusses Operator Inference, a nonintrusive reduced modeling approach that
incorporates physical governing equations by defining a structured polynomial form for the …

In ramjet propulsion systems, syelf-excited combustion instability is highly undesirable. It
may lead to violent structural vibration and even mission failure. For this, self-excited …

This paper presents a physics-based data-driven method to learn predictive reduced-order
models (ROMs) from high-fidelity simulations and illustrates it in the challenging context of a …

An adaptive projection-based reduced-order model (ROM) formulation is presented for
model-order reduction of problems featuring chaotic and convection-dominant physics. An …

A projection-based formulation is presented for non-linear model reduction of problems with
extreme scale disparity. The approach allows for the selection of an arbitrary, but complete …

An investigation of self-excited combustion instabilities in a RP-3 fueled, multi-swirl
stabilized, lean direct injection (LDI) combustor was performed and investigated with …

Large-scale engineering systems, such as propulsive engines, ship structures, and wind
farms, feature complex, multi-scale interactions between multiple physical phenomena …

Computationally efficient modeling of gas turbine combustion is challenging due to the
chaotic multi-scale physics and the complex non-linear interactions between acoustic …

Combustion noise in gas turbine engines has recently become a relevant source of noise in
the aircraft due to the appearance of new burner architectures that are intrinsically more …