Large-eddy simulation and challenges for projection-based reduced-order modeling of a gas turbine model combustor

N Arnold-Medabalimi, C Huang… - … Journal of Spray and …, 2022 - journals.sagepub.com
Computationally efficient modeling of gas turbine combustion is challenging due to the
chaotic multi-scale physics and the complex non-linear interactions between acoustic …

Investigation of sampling strategies for reduced-order models of rocket combustors

CR Wentland, C Huang, K Duraisamy - AIAA Scitech 2021 forum, 2021 - arc.aiaa.org
View Video Presentation: https://doi. org/10.2514/6.2021-1371. vid This work assesses the
efficiency and effectiveness of projection-based reduced-order models (ROMs) of complex …

PLATFORM: Parallel Linear Algebra Tool FOr Reduced Modeling

N Arnold-Medabalimi, CR Wentland, C Huang… - SoftwareX, 2023 - Elsevier
With advances in the scope of computational modeling methodologies, an increased focus
is being placed on the application of data-driven techniques to increasingly complex …

Robust and interpretable learning for operator-theoretic modeling of non-linear dynamics

S Pan - 2021 - deepblue.lib.umich.edu
Non-linear dynamical systems are of significant interest to a wide range of science and
engineering communities. This dissertation is focused on the advancement of theory and …

Composite Koopman Analysis of Hypersonic Nonequilibrium Flows Over a Double Wedge

S Pan, O Tumuklu - AIAA AVIATION FORUM AND ASCEND 2024, 2024 - arc.aiaa.org
Coherent structures of hypersonic nonequilibrium non-reacting nitrogen flows over a 30/55-
degree double wedge geometry using two-dimensional configurations, with unit Reynolds …

Scalable and Predictive Model Order Reduction for Reacting Flow Systems

N Arnold-Medabalimi - 2023 - deepblue.lib.umich.edu
Accurate, efficient prediction of reacting flow systems is challenging due to stiff reaction
kinetics, significant disparity in spatiotemporal scales, and multi-physics interactions …

Robust and Scalable Projection-based Reduced-order Models for Simulations of Reacting Flows

C Wentland - 2023 - deepblue.lib.umich.edu
This thesis investigates the development and application of projection-based reduced-order
models (PROMs) to mitigate the exorbitant computational cost of high-fidelity numerical …

Prediction of Vehicle Cabin Occupant Thermal Comfort Using Deep Learning and Computational Fluid Dynamics

A Warey, S Kaushik, B Khalighi, M Cruse… - … International Journal of …, 2021 - sae.org
Heating, ventilation, and air-conditioning (HVAC) systems can have a significant impact on
the driving range of battery electric vehicles (BEVs). In our previous work, high-fidelity …

[PDF][PDF] Journal of Nonlinear Analysis and Optimization

S Mishra, CK Sharma - jnao-nu.com
Utilizing data from social media platforms (SM) has become a viable method for evaluating
cultural ecosystem services (CES). In order to determine the demand for CES, the majority of …