Multi-Scale Least-Weight Design of a Wing-Box via a Global/Local Approach

Enrico Panettieri , Daniele Fanteria , Francesco Coccia , Marco Montemurro (1)

1 I2M - Institut de Mécanique et d'Ingénierie

In this work, a multi-scale optimization strategy for lightweight structures, based on a global-local modelling approach is presented. The approach is applied to a realistic wing structure of a civil aircraft. The preliminary design of the wing can be formulated as a constrained optimization problem, involving several requirements at the different scales of the structure. The proposed strategy is characterized by two main features. Firstly, the problem is formulated in the most general sense, by including all design variables involved at each problem scale. Secondly, two scales are considered: (i) the structure macroscopic scale, where low-fidelity numerical models are used; (ii) the structure mesoscopic scale (or component-level), where enhanced models are involved. In particular, the structural responses are evaluated at both global and local scales, avoiding the use of approximated analytical methods. To this end, fully parametric global and local finite element models are interfaced with an in-house genetic algorithm. Refined models are created only for the most critical regions of the structure, and linked to the global one by means of a dedicated sub-modelling approach.

Domaines: Optimisation et contrôle [math.OC]; Mécanique des structures [physics.class-ph]; Mécanique des solides [physics.class-ph]

Enrico Panettieri, Daniele Fanteria, Francesco Coccia, Marco Montemurro. Multi-Scale Least-Weight Design of a Wing-Box via a Global/Local Approach. Journal of Optimization Theory and Applications, 2020, ⟨10.1007/s10957-020-01693-y⟩. ⟨hal-02945365⟩