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

TL;DR

This paper introduces a physics-infused reduced-order modeling approach that significantly accelerates hypersonic aerothermoelastic simulations while maintaining high accuracy, outperforming traditional surrogate models in efficiency and robustness.

Contribution

The paper develops a novel PIROM methodology combining physics-based and data-driven components for efficient, accurate hypersonic aerothermoelastic analysis, outperforming existing surrogate models.

Findings

PIROM accelerates simulations by 2-3 orders of magnitude.

PIROM maintains high accuracy comparable to CFD solutions.

Outperforms POD-kriging in accuracy and efficiency across various conditions.

Abstract

This paper presents a novel physics-infused reduced-order modeling (PIROM) methodology for efficient and accurate modeling of non-linear dynamical systems. The PIROM consists of a physics-based analytical component that represents the known physical processes, and a data-driven dynamical component that represents the unknown physical processes. The PIROM is applied to the aerothermal load modeling for hypersonic aerothermoelastic (ATE) analysis and is found to accelerate the ATE simulations by two-three orders of magnitude while maintaining an accuracy comparable to high-fidelity solutions based on computational fluid dynamics (CFD). Moreover, the PIROM-based solver is benchmarked against the conventional POD-kriging surrogate model, and is found to significantly outperform the accuracy, generalizability and sampling efficiency of the latter in a wide range of operating conditions and in the presence of complex structural boundary conditions. Finally, the PIROM-based ATE solver is demonstrated by a parametric study on the effects of boundary conditions and rib-supports on the ATE response of a compliant and heat-conducting panel structure. The results not only reveal the dramatic snap-through behavior with respect to spring constraints of boundary conditions, but also demonstrates the potential of PIROM to facilitate the rapid and accurate design and optimization of multi-disciplinary systems such as hypersonic structures.