Loading and planform shape influence on the wing structural layout through topology optimization.

Crescenti, Fabio; Kipouros, Timoleon; Savill, A. M.

doi:10.2514/6.2018-3578

Cited by 2 publications

(1 citation statement)

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“…The authors of this study performed SIMP topology optimisation of the Nasa Common Research Model (CRM) wing (Vassberg et al 2008), achieving a level of mesh refinement without precedents for density-based topology optimisation. The interpretation suggested the presence of curved ribs in the inboard wing, a feature also observed in another similar study (Crescenti et al 2018). In between, a variety of approaches and benchmarks have been presented.…”

Section: Topology Optimisation Of the Wing Structuresupporting

confidence: 63%

Generating minimal Pareto sets in multi-objective topology optimisation: an application to the wing box structural layout

Crescenti

Kipouros

Munk

et al. 2020

Struct Multidisc Optim

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Multi-objective topology optimisation problems are often tackled by compromising the cost functions according to the designer’s knowledge. Such an approach however has clear limitations and usually requires information which especially at the preliminary design stage could be unavailable. This paper proposes an alternative multi-objective approach for the generation of minimal Pareto sets in combination with density-based topology optimisation. Optimised solutions are generated integrating a recently revised method for a posteriori articulation of preferences with the Method of Moving Asymptotes. The methodology is first tested on an academic two-dimensional structure and eventually employed to optimise a full-scale aerospace structure with the support of the commercial software Altair OptiStructⓇ. For the academic benchmark, the optimised layouts with respect to static and dynamic objectives are visualised on the Pareto frontier and reported with the corresponding density distribution. Results show a progressive and consistent transition between the two extreme single-objective layouts and confirm that the minimum number of evaluations was required to fill the smart Pareto front. The multi-objective strategy is then coupled with Altair OptiStruct and used to optimise a full-scale wing box, with the clear purpose to fill a gap in multi-objective topology optimisation applied to the wing primary structure. The proposed methodology proved that it can generate efficiently non-dominated optimised configurations, at a computational cost that is mainly driven by the model complexity. This strategy is particularly indicated for the preliminary design phase, as it releases the designer from the burden to assign preferences. Furthermore, the ease of integration into a commercial design tool makes it available for industrial applications.

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Section: Topology Optimisation Of the Wing Structuresupporting

confidence: 63%