Published: Dec 10, 2020 by Daning Huang
For the coming AIAA SciTech 2021 conference we are able to complete and submit six papers spanning over a range of research fields, with our collaborators. Here are the summaries:
Numerical Investigation of Fluid-Thermal-Structural Interaction for a Control Surface in Hypersonic Flow
- Aravinth Sadagopan, Daning Huang, Haosen H. A. Xu, Xiang I. A. Yang
- We studied the coupling between the thermoelastic response and shock wave/boundary layer interaction over a cone-slice-wedge configuration in hypersonic flow, using a RANS/LES-based FTSI toolchain.
- Here are the 10-min slides for this paper.
Expedient Hypersonic Aerothermal Prediction for Aerothermoelastic Analysis Via Field Inversion and Machine Learning
- Carlos Vargas Venegas, Daning Huang
- We explored the possibility of using the data-driven model discovery technique to develop the “next-generation” aerothermal model for fluid-thermal-structural interaction analysis. And the initial results look rather promising!
- Here are the 10-min slides for this paper.
Assessment of High-Temperature Effects on Hypersonic Aerothermoelastic Analysis using Multi-Fidelity Multi-Variate Surrogates
- Aravinth Sadagopan, Daning Huang, Ümran Düzel, Martin E. Liza, Kyle M. Hanquist
- With our collaborators from U. of Arizona, we explored the impact of high-temperature effects on aerothermoelastic responses using a new kind of aerothermal surrogate based on multi-fidelity Gaussian process regression.
- Here are the 10-min slides for this paper.
- We the same group of people have also published another paper on JANNAF 2020, with an emphasis on the high-temperature side.
Hypersonic Trajectory Optimization with High-Fidelity Aerothermodynamic Models
- Brian Coulter, Zhenbo Wang, Daning Huang, etc.
- With our collaborators from U. of Tennessee, Knoxville, we explored the possibility of incorporating higher-fidelity aerothermal models into the flight trajectory optimizations of hypersonic vehicles. The results look promising and we could go for even higher fidelity.
Sparse Nonlinear System Identification for Hypersonic Aerothermoelastic Analysis with Stochastic Loads
- Damien Guého, Puneet Singla, Daning Huang
- A unified and automatic framework was developed to discover governing equations underlying an unknown dynamical system from data measurements, and this technique is applied to develop thermoelastic reduced-order models in various aerothermoelastic problems.
Time-varying Linear Reduced Order Model for Hypersonic Aerothermoelastic Analysis
- Damien Guého, Puneet Singla, Daning Huang
- A twin of the paper above: The Time-Varying Eigensystem Realization Algorithm (TVERA) is used to identify a linear time varying (LTV) model from high-fidelity aerothermoelastic solutions with guaranteed observability.