Similarity Maximization of a Scaled Aeroelastic Flight Demonstrator via Multidisciplinary Optimization

Abstract : The developments presented in this paper take place in the context of a broader series of works carried out at ONERA and ISAE-SUPAERO on multidisciplinary design optimization applied to a scaled flight demonstrator. The aim of this work is to develop an optimization process capable of sizing a scaled flight demonstrator in order to reproduce several behaviors en- countered on its corresponding full size aircraft. Unlike the classical optimization problems found in aeronautics, whose objective functions are performance-related (e.g. mass and drag minimization), we aim to maximize the similarity between the scaled model and the full size aircraft. In the aforementioned context, the first part of this paper corresponds to the static aeroelastic similarity problem. However, the approach described herein is general enough to treat other optimization problems, including performance-related ones. The second part of this work deals with the dynamic aspects of the aeroelastic similar- ity. A benchmark case is presented where the structural properties of a given geometry are optimized in order to match the reference modal parameters (i.e., mode shapes and frequencies) of the GARTEUR SM-AG19 model.
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Submitted on : Wednesday, February 20, 2019 - 3:54:02 PM
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Joan Mas Colomer, Nathalie Bartoli, Thierry Lefebvre, Sylvain Dubreuil, J.R.R. Martins, et al.. Similarity Maximization of a Scaled Aeroelastic Flight Demonstrator via Multidisciplinary Optimization. 58th AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference Grapevine, Texas, Jun 2017, Texas, United States. pp.AIAA 2017-0573, ⟨10.2514/6.2017-0573⟩. ⟨hal-02042822⟩

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