Multi-scale Deterministic Optimisation of Blended Composite Structures: Case Study of a Box-Wing

TL;DR

This paper introduces a multi-scale deterministic optimization approach for composite structures, combining global-local buckling assessment and stacking sequence recovery, demonstrated on a box-wing case study.

Contribution

It develops a novel multi-scale optimization methodology integrating buckling analysis and stacking sequence recovery for composite structures.

Findings

Effective optimization of a box-wing structure.

Successful integration of buckling and static failure criteria.

Demonstrated improvement in structural lightness and performance.

Abstract

This work presents a multi-scale design methodology for the deterministic optimisation of thin-walled composite structures integrating a global-local approach for the assessment of the buckling strength and a dedicated strategy to recover blended stacking sequences. The methodology is based on the multi-scale two-level optimisation strategy for anisotropic materials and structures. In the first step, focused on the macroscopic scale, several design requirements are included in the problem formulation: lightness, feasibility, manufacturing, blending, buckling failure, static failure and stiffness. The second step, which focuses on the laminate mesoscopic scale, deals with the recovery of blended stacking sequences, for the structure at hand, matching the optimal geometric and elastic properties determined in the first step. As a case study, the unconventional PrandtlPlane box-wing system is used to show the effectiveness of the proposed design methodology.