Abstract
In previous work, we presented a novel relative adequacy framework to manage the employment of a set of available computational models in (single-disciplinary) design optimization problems. In this paper, we extend our method to solve multidisciplinary design optimization problems with particular emphasis on strongly coupled fluid-structure interactions. We illustrate that these interactions can have a significant impact on multimodel management: models that may be selected in a single-disciplinary analysis context can be inadequate in a multidisciplinary analysis one. We implement our method for two multidisciplinary design optimization architectures: the monolithic multidisciplinary feasible formulation and a penalty-based distributed interdisciplinary feasible formulation. We illustrate the proposed multimodel management methodology by means of two example problems: a flexible beam fluid-structure interaction problem and a transonic fan flow problem. The obtained results demonstrate that our framework is accurate and efficient while exhibiting significant computational cost benefits, especially when disciplinary coupling is tight.
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Funding
This work has been supported partially by FRQNT grant 2015-PR-182098 and NSERC CRDPJ 513992-17; the authors are grateful for this partial support, which does not constitute an endorsement of the opinions expressed in this paper. The first author is grateful to the Faculty of Engineering at McGill University for its partial support through a McGill Engineering Doctoral Award.
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The geometric CAD models, analysis input files, and scripts required to reproduce the numerical examples are available under open-source licenses and are maintained in a version control repository on GitHub (Bayoumy 2020)
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Bayoumy, A.H., Kokkolaras, M. A relative adequacy framework for multimodel management in multidisciplinary design optimization. Struct Multidisc Optim 62, 1701–1720 (2020). https://doi.org/10.1007/s00158-020-02591-7
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DOI: https://doi.org/10.1007/s00158-020-02591-7