Loïc BREVAULT, Mathieu BALESDENT, Arnault TREMOLET

DOI Number: N/A

Conference number: HiSST-2025-183

The design process of hypersonic vehicles requires trajectory optimization. For that purpose, the trajectory simulation involves an atmosphere model that is used to predict the surrounding air flow conditions all along the trajectory. These conditions are affected by variability depending on several parameters such as the season, the location on Earth, the altitude, etc. This paper presents a comprehensive approach to assess the influence of the dispersions in atmospheric states on the performance evaluation of hypersonic vehicles. The proposed method models atmospheric variability as a stochastic process and combines model order reduction and Gaussian process regression in order to build a surrogate model of the performance criterion as a function of the atmospheric dispersion. This surrogate is eventually used to perform uncertainty quantification studies to evaluate the robustness of the hypersonic vehicle performance with respect to the atmospheric variability.

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In Categories: 1.Events, 1.HiSST 2025, High-Speed Missions and Vehicles
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