Data-driven modeling for unsteady aerodynamics and aeroelasticity

J Kou, W Zhang - Progress in Aerospace Sciences, 2021 - Elsevier
Aerodynamic modeling plays an important role in multiphysics and design problems, in
addition to experiment and numerical simulation, due to its low-dimensional representation …

Non-intrusive reduced order modeling of unsteady flows using artificial neural networks with application to a combustion problem

Q Wang, JS Hesthaven, D Ray - Journal of computational physics, 2019 - Elsevier
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 …

On the construction of a mode based reduced order model for a moving store

NJ Peters, A Wissink, J Ekaterinaris - Aerospace Science and Technology, 2022 - Elsevier
Store separation from aircraft and spacecraft has been a critical issue for the aerospace
industry. A potential remedy to reduce resources and to improve turn around time in store …

Investigations and improvement of robustness of reduced-order models of reacting flow

C Huang, K Duraisamy, CL Merkle - AIAA Journal, 2019 - arc.aiaa.org
The impact of chemical reactions on the robustness and accuracy of projection-based
reduced-order models (ROMs) of fluid flows is investigated. Both Galerkin and least squares …

Quasi-1D modeling of heat release for the study of longitudinal combustion instability

ML Frezzotti, F Nasuti, C Huang, CL Merkle… - Aerospace Science and …, 2018 - Elsevier
A method for obtaining combustion response functions from experiments or detailed
computational fluid dynamic (CFD) analyses is described and used in a quasi one …

Challenges in reduced order modeling of reacting flows

C Huang, K Duraisamy, C Merkle - 2018 Joint Propulsion Conference, 2018 - arc.aiaa.org
The challenges involved in employing projection-based methods to develop accurate and
robust Reduced-Order Models (ROMs) for reacting flows are investigated. The evaluations …

Exploration of reduced-order models for rocket combustion applications

C Huang, J Xu, K Duraisamy, C Merkle - 2018 AIAA Aerospace …, 2018 - arc.aiaa.org
Instabilities driven by the coupling between heat release, hydrodynamics and acoustics
constitute a prominent, but undesirable aspect in the design of practical combustors. In liquid …

A nudged hybrid analysis and modeling approach for realtime wake-vortex transport and decay prediction

SE Ahmed, S Pawar, O San, A Rasheed, M Tabib - Computers & Fluids, 2021 - Elsevier
We put forth a long short-term memory (LSTM) nudging framework for the enhancement of
reduced order models (ROMs) of fluid flows utilizing noisy measurements for air traffic …

Learning stable Galerkin models of turbulence with differentiable programming

AT Mohan, K Nagarajan, D Livescu - arXiv preprint arXiv:2107.07559, 2021 - arxiv.org
Turbulent flow control has numerous applications and building reduced-order models
(ROMs) of the flow and the associated feedback control laws is extremely challenging …

Mode based reduced order model for a moving store

N Peters, JA Ekaterinaris, AM Wissink - AIAA Scitech 2021 Forum, 2021 - arc.aiaa.org
View Video Presentation: https://doi. org/10.2514/6.2021-0364. vid Store separation from
aircraft and spacecraft has been a critical, and in some cases fatal, issue for the aerospace …