A multi-fidelity model management framework for multi-objective aerospace design optimisation
Parsonage, Ben and Maddock, Christie (2023) A multi-fidelity model management framework for multi-objective aerospace design optimisation. Frontiers in Aerospace Engineering, 2. 1046177. (https://doi.org/10.3389/fpace.2023.1046177)
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Abstract
This paper presents a multi-fidelity meta-modelling and model management framework designed to efficiently incorporate increased levels of simulation fidelity from multiple, competing sources into early-stage multidisciplinary design optimisation scenarios. Phase specific/invariant low-fidelity physics-based subsystem models are adaptively corrected via iterative sampling of high(er)-fidelity simulators. The correction process is decomposed into several distinct parametric/non-parametric stages, each leveraging alternate aspects of the available model responses. Globally approximating surrogates are constructed at each degree of fidelity (low, mid, and high) via an automated hyper-parameter selection and training procedure. The resulting hierarchy drives the optimisation process, with local refinement managed according to a confidence-based multi-response adaptive sampling procedure, with bias given to global parameter sensitivities. An application of this approach is demonstrated via the aerodynamic response prediction of a parametrized re-entry vehicle, subjected to a static/dynamic parameter optimisation for three separate single-objective problems. It is found that the proposed data correction process facilitates increased efficiency in attaining a desired approximation accuracy relative to a single-fidelity equivalent model. When applied within the proposed multi-fidelity management framework, clear convergence to the objective optimum is observed for each examined design optimisation scenario, outperforming an equivalent single-fidelity approach in terms of computational efficiency and solution variability.
ORCID iDs
Parsonage, Ben ORCID: https://orcid.org/0009-0001-3313-9661 and Maddock, Christie ORCID: https://orcid.org/0000-0003-1079-4863;-
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Item type: Article ID code: 84092 Dates: DateEvent7 February 2023Published24 January 2023AcceptedSubjects: Technology > Motor vehicles. Aeronautics. Astronautics > Aeronautics. Aeronautical engineering Department: Faculty of Engineering > Mechanical and Aerospace Engineering
Strategic Research Themes > Ocean, Air and SpaceDepositing user: Pure Administrator Date deposited: 08 Feb 2023 15:10 Last modified: 21 Nov 2024 01:23 URI: https://strathprints.strath.ac.uk/id/eprint/84092