A review on design of experiments and surrogate models in aircraft real-time and many-query aerodynamic analyses

R Yondo, E Andrés, E Valero - Progress in aerospace sciences, 2018 - Elsevier
Full scale aerodynamic wind tunnel testing, numerical simulation of high dimensional (full-
order) aerodynamic models or flight testing are some of the fundamental but complex steps …

Reduced order models for Lagrangian hydrodynamics

DM Copeland, SW Cheung, K Huynh, Y Choi - Computer Methods in …, 2022 - Elsevier
As a mathematical model of high-speed flow and shock wave propagation in a complex
multimaterial setting, Lagrangian hydrodynamics is characterized by moving meshes …

An autoencoder‐based reduced‐order model for eigenvalue problems with application to neutron diffusion

TRF Phillips, CE Heaney, PN Smith… - International Journal for …, 2021 - Wiley Online Library
Using an autoencoder for dimensionality reduction, this article presents a novel projection‐
based reduced‐order model for eigenvalue problems. Reduced‐order modeling relies on …

gLaSDI: Parametric physics-informed greedy latent space dynamics identification

X He, Y Choi, WD Fries, JL Belof, JS Chen - Journal of Computational …, 2023 - Elsevier
A parametric adaptive physics-informed greedy Latent Space Dynamics Identification
(gLaSDI) method is proposed for accurate, efficient, and robust data-driven reduced-order …

S-OPT: A points selection algorithm for hyper-reduction in reduced order models

JT Lauzon, SW Cheung, Y Shin, Y Choi… - SIAM Journal on …, 2024 - SIAM
While projection-based reduced order models can reduce the dimension of full order
solutions, the resulting reduced models may still contain terms that scale with the full order …

Local Lagrangian reduced-order modeling for the Rayleigh-Taylor instability by solution manifold decomposition

SW Cheung, Y Choi, DM Copeland, K Huynh - Journal of Computational …, 2023 - Elsevier
Abstract The Rayleigh-Taylor instability is a classical hydrodynamic instability of great
interest in various disciplines of science and engineering, including astrophysics …

Hyper-reduced-order model for estimating convection heat transfer coefficients of turbine rotors

G Jiang, M Kang, Z Cai, H Wang, Y Liu… - Applied Thermal …, 2024 - Elsevier
Forced convection heat transfer occurs inside the steam turbine, and it is crucial for thermal
and strength analysis to accurately estimate the convection heat transfer coefficients of the …

Adaptive hyper reduction for additive manufacturing thermal fluid analysis

Y Lu, KK Jones, Z Gan, WK Liu - Computer Methods in Applied Mechanics …, 2020 - Elsevier
Thermal fluid coupled analysis is essential to enable an accurate temperature prediction in
additive manufacturing. However, numerical simulations of this type are time-consuming …

An EIM-degradation free reduced basis method via over collocation and residual hyper reduction-based error estimation

Y Chen, S Gottlieb, L Ji, Y Maday - Journal of Computational Physics, 2021 - Elsevier
The need for multiple interactive, real-time simulations using different parameter values has
driven the design of fast numerical algorithms with certifiable accuracies. The reduced basis …

Data-scarce surrogate modeling of shock-induced pore collapse process

SW Cheung, Y Choi, HK Springer, T Kadeethum - Shock Waves, 2024 - Springer
Understanding the mechanisms of shock-induced pore collapse is of great interest in
various disciplines in sciences and engineering, including materials science, biological …