Real-time aerodynamic load estimation for hypersonics via strain-based inverse maps
<|reference_start|>Real-time aerodynamic load estimation for hypersonics via strain-based inverse maps: This work develops an efficient real-time inverse formulation for inferring the aerodynamic surface pressures on a hypersonic vehicle from sparse measurements of the structural strain. The approach aims to provide real-time estimates of the aerodynamic loads acting on the vehicle for ground and flight testing, as well as guidance, navigation, and control applications. Specifically, the approach targets hypersonic flight conditions where direct measurement of the surface pressures is challenging due to the harsh aerothermal environment. For problems employing a linear elastic structural model, we show that the inference problem can be posed as a least-squares problem with a linear constraint arising from a finite element discretization of the governing elasticity partial differential equation. Due to the linearity of the problem, an explicit solution is given by the normal equations. Pre-computation of the resulting inverse map enables rapid evaluation of the surface pressure and corresponding integrated quantities, such as the force and moment coefficients. The inverse approach additionally allows for uncertainty quantification, providing insights for theoretical recoverability and robustness to sensor noise. Numerical studies demonstrate the estimator performance for reconstructing the surface pressure field, as well as the force and moment coefficients, for the Initial Concept 3.X (IC3X) conceptual hypersonic vehicle.<|reference_end|>
@article{pham2024real-time,
    title={Real-time aerodynamic load estimation for hypersonics via strain-based
  inverse maps},
    author={Julie Pham, Omar Ghattas, Noel Clemens, Karen Willcox},
    journal={arXiv preprint arXiv:2408.15286},
    year={2024},
    archivePrefix={arXiv},
    eprint={2408.15286},
    primaryClass={math.NA cs.NA}
}