A multi-scale two-level optimisation strategy integrating a global/local modelling approach for composite structures

Autor: Michele Iacopo Izzi, Marco Montemurro, Jérôme Pailhès, Anita Catapano
Přispěvatelé: Institut de Mécanique et d'Ingénierie de Bordeaux (I2M), Institut National de la Recherche Agronomique (INRA)-Université de Bordeaux (UB)-École Nationale Supérieure d'Arts et Métiers (ENSAM), Arts et Métiers Sciences et Technologies, HESAM Université (HESAM)-HESAM Université (HESAM)-Arts et Métiers Sciences et Technologies, HESAM Université (HESAM)-HESAM Université (HESAM)-Institut Polytechnique de Bordeaux-Centre National de la Recherche Scientifique (CNRS), Project PARSIFAL (Prandtlplane ARchitecture for the Sustainable Improvement of Future AirpLanes), Grant Agreement n.723149., École Nationale Supérieure d'Arts et Métiers (ENSAM), HESAM Université (HESAM)-HESAM Université (HESAM)-Institut Polytechnique de Bordeaux-Institut National de la Recherche Agronomique (INRA)-Centre National de la Recherche Scientifique (CNRS)-Université de Bordeaux (UB)
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Zdroj: Composite Structures
Composite Structures, Elsevier, 2020, 237, pp.111908. ⟨10.1016/j.compstruct.2020.111908⟩
Composite Structures, Elsevier, In press, 237, ⟨10.1016/j.compstruct.2020.111908⟩
ISSN: 0263-8223
DOI: 10.1016/j.compstruct.2020.111908⟩
Popis: In this work, a multi-scale optimisation strategy for the preliminary design of composite structures involving design requirements at different scales, is presented. Such a strategy, denoted as GL-MS2LOS, has been formulated by integrating a dedicated global-local (GL) modelling approach into the multi-scale two-level optimisation strategy (MS2LOS). The GL-MS2LOS aims at proposing a very general formulation of the design problem, without introducing simplifying hypotheses and by considering, as design variables, the full set of geometric and mechanical parameters defining the behaviour of the composite structure at each pertinent scale. By employing a GL modelling approach, most of the limitations of well-established design strategies based on analytical or semi-empirical models are overcome. The effectiveness of the presented GL-MS2LOS is proven on a meaningful study case: the least-weight design of a composite fuselage barrel of a wide-body aircraft undergoing various loading conditions and subject to requirements of different nature. Fully parametric global and local FE models are interfaced with an in-house metaheuristic algorithm to perform the optimisation. Refined local FE models are created only for critical regions of the structure, automatically detected during the global analysis, and linked to the global one thanks to the implementation of a sub-modelling approach. The whole process is completely automated and, once set, it does not need any further user intervention. The general nature of the GL-MS2LOS allows finding an optimised configuration characterised by a weight saving of 40% when compared to an optimised aluminium solution obtained through a similar GL optimisation strategy. Project PARSIFAL (Prandtlplane ARchitecture for the Sustainable Improvement of Future AirpLanes), Grant Agreement n.723149.
Databáze: OpenAIRE
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