Model-Order Reduction in Hypersonic Aerothermoelasticity Using Time-Varying Koopman Operator

Abstract

The coupled analysis between the flight dynamics, structural dynamics, heat transfer, and hypersonic aerothermodynamics, viz. AeroThermoServoElasticity (ATSE), is a key ingredient for evaluating the performance, stability, and reliability of hypersonic vehicles. A thorough performance analysis for ATSE is computationally intractable with high fidelity models for each discipline. Hence, there is a need to develop accurate reduced order models (ROM) for aerothermodynamics as well as thermoelasticity. This work exploits the latest advances in dynamical system theory to develop a reduced order model for aerothermoelastic analysis. The Time-Varying Eigensystem Realization Algorithm (TVERA) is used to identify a linear time varying (LTV) model from a high fidelity computational framework with guaranteed observability. The simulations performed show a good agreement between the reduced-order and high fidelity models. The reduced order model accurately captures the bifurcation in the aeroelastic flutter.

Publication
2022 Joint Army Navy NASA Air Force (JANNAF) Meeting, Newport News, VA
Click the Cite button above to import publication metadata into your reference management software.
Damien Guého
Damien Guého
PhD, Aerospace Engineer

My research interests include data-driven analysis and control of dynamical systems, with particular interests for high-dimensional and complex dynamical systems, data-driven system identification, reduced-order modeling, uncertainty quantification, stochastic analysis and model-based control.