Study of fluid–thermal–structural interaction in high-temperature high-speed flow using multi-fidelity multi-variate surrogates

D Huang, A Sadagopan, Ü Düzel… - Journal of Fluids and …, 2022 - Elsevier
This study investigates the impact of the high-temperature effect, especially the real gas
effect and chemical reactions, on hypersonic aerothermodynamic solutions of double cone …

Physics-Infused Reduced-Order Modeling of Aerothermal Loads for Hypersonic Aerothermoelastic Analysis

C Vargas Venegas, D Huang - AIAA journal, 2023 - arc.aiaa.org
This paper presents a novel physics-infused reduced-order modeling (PIROM) methodology
for efficient and accurate modeling of nonlinear dynamical systems. The PIROM consists of a …

Holistic characterization of an under-expanded high-enthalpy jet under uncertainty

M Capriati, A Turchi, PM Congedo, TE Magin - Physics of Fluids, 2024 - pubs.aip.org
Elaborate methodologies have been developed to study the thermo-chemical response of
materials in high-enthalpy flows. To reach the high magnitudes of heat flux encountered in …

Modal Analysis of Spatiotemporal Data via Multi-fidelity Multi-variate Gaussian Processes

J Song, D Huang - AIAA AVIATION 2023 Forum, 2023 - arc.aiaa.org
View Video Presentation: https://doi. org/10.2514/6.2023-4350. vid This paper focuses on
the challenges associated with the existing dynamic mode decomposition (DMD) techniques …

Assessment of Multi-Fidelity Surrogate Methods for Expedient Loads Prediction in High-Speed Flows

TE Korenyi-Both - 2023 - rave.ohiolink.edu
Fast and accurate predictions about the flow field surrounding a hypersonic flight vehicle are
necessary for both early design phases and autonomous vehicle control. The complex flow …

Credibility Assessment of Machine Learning in a Manufacturing Process Application

GA Banyay, CL Worrell… - Journal of …, 2021 - asmedigitalcollection.asme.org
We present a framework for establishing credibility of a machine learning (ML) model used
to predict a key process control variable setting to maximize product quality in a component …

Modal Analysis of Spatiotemporal Data via Multivariate Gaussian Process Regression

J Song, D Huang - arXiv preprint arXiv:2403.13118, 2024 - arxiv.org
Modal analysis has become an essential tool to understand the coherent structure of
complex flows. The classical modal analysis methods, such as dynamic mode …

Efficient Multidisciplinary Analysis and Optimization of Hypersonic Vehicles Using Multi-Fidelity Surrogate Models

JT Needels - 2024 - search.proquest.com
The trade between computational cost and model accuracy is a fundamental challenge in
engineering design: models of higher fidelity (ie physical accuracy) typically require …

Applications of Gaussian Process Regression in the Aero-Thermo-Servo-Elastic Analysis Towards Integrated Hypersonic Flight Dynamic Analysis

D Huang - 2021 60th IEEE Conference on Decision and …, 2021 - ieeexplore.ieee.org
This tutorial paper presents the surrogate modeling based on Gaussian process regression
(GPR) and its application in the hypersonic aero-thermo-servo-elastic analysis, a key …

Physics-Infused Reduced-Order Modeling of Aerothermal Loads for Fluid-Thermal-Structural Interactions

C Vargas Venegas - 2022 - etda.libraries.psu.edu
Although considerable advancements have been made during the past several decades in
hypersonic vehicle technologies, there are still numerous unresolved experimental and …