Learning nonlinear reduced models from data with operator inference
B Kramer, B Peherstorfer… - Annual Review of Fluid …, 2024 - annualreviews.org
This review discusses Operator Inference, a nonintrusive reduced modeling approach that
incorporates physical governing equations by defining a structured polynomial form for the …
incorporates physical governing equations by defining a structured polynomial form for the …
Intrinsic thermoacoustic instabilities
CF Silva - Progress in Energy and Combustion Science, 2023 - Elsevier
It is accepted that the thermoacoustic behavior of a given combustion system can be
analyzed by investigating how its natural acoustic modes are perturbed by the flame …
analyzed by investigating how its natural acoustic modes are perturbed by the flame …
Learning physics-based models from data: perspectives from inverse problems and model reduction
This article addresses the inference of physics models from data, from the perspectives of
inverse problems and model reduction. These fields develop formulations that integrate data …
inverse problems and model reduction. These fields develop formulations that integrate data …
Non-intrusive reduced order modeling of unsteady flows using artificial neural networks with application to a combustion problem
A non-intrusive reduced-basis (RB) method is proposed for parametrized unsteady flows. A
set of reduced basis functions are extracted from a collection of high-fidelity solutions via a …
set of reduced basis functions are extracted from a collection of high-fidelity solutions via a …
Data-driven reduced-order models via regularised operator inference for a single-injector combustion process
This paper derives predictive reduced-order models for rocket engine combustion dynamics
via Operator Inference, a scientific machine learning approach that blends data-driven …
via Operator Inference, a scientific machine learning approach that blends data-driven …
Entropy generation and CO2 emission in presence of pulsating oscillations in a bifurcating thermoacoustic combustor with a Helmholtz resonator at off-design …
In this work, we develop a 2D numerical model of a Y-shaped bifurcating combustor with a
Helmholtz resonator attached. Propane (C 3 H 8) is fueled and burnt with air by applying …
Helmholtz resonator attached. Propane (C 3 H 8) is fueled and burnt with air by applying …
Learning physics-based reduced-order models for a single-injector combustion process
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 …
models (ROMs) from high-fidelity simulations and illustrates it in the challenging context of a …
Predictive reduced order modeling of chaotic multi-scale problems using adaptively sampled projections
C Huang, K Duraisamy - Journal of Computational Physics, 2023 - Elsevier
An adaptive projection-based reduced-order model (ROM) formulation is presented for
model-order reduction of problems featuring chaotic and convection-dominant physics. An …
model-order reduction of problems featuring chaotic and convection-dominant physics. An …
Bayesian operator inference for data-driven reduced-order modeling
This work proposes a Bayesian inference method for the reduced-order modeling of time-
dependent systems. Informed by the structure of the governing equations, the task of …
dependent systems. Informed by the structure of the governing equations, the task of …
Numerical investigation of combustion instability in a liquid rocket engine: Interaction effect between hydrodynamics and acoustic mode
In this paper, we present the numerical evidence of multiple bifurcations in thermoacoustic
instability as we decrease the equivalence ratio (ϕ) from fuel-rich (ϕ= 1.5) to fuel-lean (ϕ …
instability as we decrease the equivalence ratio (ϕ) from fuel-rich (ϕ= 1.5) to fuel-lean (ϕ …