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Suborbital spaceplane optimization using non-stationary Gaussian processes

Suborbital spaceplane optimization using non-stationary Gaussian processes
Suborbital spaceplane optimization using non-stationary Gaussian processes
This paper presents multidisciplinary design optimization of a sub-orbital spaceplane. The optimization includes three disciplines: the aerodynamics, the structure and the trajectory. An Adjoint Euler code is used to calculate the aerodynamic lift and drag of the vehicle as well as their derivatives with respect to the design variables. A new surrogate model has been developed based on a non-stationary Gaussian process. That model was used to estimate the aerodynamic characteristics of the vehicle during the trajectory optimization. The trajectory of thevehicle has been optimized together with its geometry in order to maximize the amount of payload that can be carried by the spaceplane.
AIP Publishing
Dufour, R.
47e4c30f-c50e-408f-bd88-26a6905aa576
De Muelenaere, J.
bc828976-3314-4ada-aa30-e5f740840f31
Elham, A.
676043c6-547a-4081-8521-1567885ad41a
Dufour, R.
47e4c30f-c50e-408f-bd88-26a6905aa576
De Muelenaere, J.
bc828976-3314-4ada-aa30-e5f740840f31
Elham, A.
676043c6-547a-4081-8521-1567885ad41a

Dufour, R., De Muelenaere, J. and Elham, A. (2015) Suborbital spaceplane optimization using non-stationary Gaussian processes. In AIP Conference Proceedings. AIP Publishing.. (doi:10.1063/1.4897754).

Record type: Conference or Workshop Item (Paper)

Abstract

This paper presents multidisciplinary design optimization of a sub-orbital spaceplane. The optimization includes three disciplines: the aerodynamics, the structure and the trajectory. An Adjoint Euler code is used to calculate the aerodynamic lift and drag of the vehicle as well as their derivatives with respect to the design variables. A new surrogate model has been developed based on a non-stationary Gaussian process. That model was used to estimate the aerodynamic characteristics of the vehicle during the trajectory optimization. The trajectory of thevehicle has been optimized together with its geometry in order to maximize the amount of payload that can be carried by the spaceplane.

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e-pub ahead of print date: 15 February 2015

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Local EPrints ID: 471130
URI: http://eprints.soton.ac.uk/id/eprint/471130
PURE UUID: 2686ea36-724e-4774-84df-1a0beeeab6ba

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Date deposited: 27 Oct 2022 16:34
Last modified: 16 Mar 2024 21:27

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Contributors

Author: R. Dufour
Author: J. De Muelenaere
Author: A. Elham

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