Least-weight composite plates with unconventional stacking sequences: Design, analysis and experiments. (July 2019)

• Record Type: Journal Article
• Authors: Montemurro, Marco; Izzi, Michele Iacopo; El-Yagoubi, Jalal; Fanteria, Daniele
• Is Part Of: Journal of composite materials. Volume 53:Number 16(2019)
• Page Start: 2209
• Page End: 2227
• Publication Date: 2019-07
• Subjects: Composites -- finite element method -- buckling -- multi-scale optimisation -- lightweight structures -- genetic algorithm; Composite materials -- Periodicals; Composites -- Périodiques; 620.118
• DOI: 10.1177/0021998318824783
• Languages: English
• ISSNs: 0021-9983

Abstract

This study deals with the problem of the least-weight design of a composite multilayer plate subject to constraints of different nature (mechanical, geometrical and technological requirements). To face this problem, a multi-scale two-level design methodology is proposed. This approach aims at optimising simultaneously both geometrical and mechanical parameters of the laminate at each characteristic scale (mesoscopic and macroscopic ones). In this background, at the first level (macroscopic scale), the goal is to find the optimum value of geometrical and mechanical design variables minimising the structure mass and satisfying the set of imposed constraints (on first buckling load, membrane stiffness and feasibility constraints). The second-level problem (mesoscopic scale) aims at finding at least one stacking sequence meeting the geometrical and material parameters provided by the first-level problem. The multi-scale two-level optimisation approach is based on the polar formalism to describe the macroscopic behaviour of the composites (in the framework of the equivalent single-layer theories) and on a special genetic algorithm to perform composite calculations. The optimum solutions provided by the multi-scale two-level optimisation strategy are characterised by a weight saving of about 10% with enhanced mechanical properties when compared to conventional symmetric balanced stacks. The effectiveness of the optimum solutions is also proven through an experimental campaign of buckling tests. The experimental results are in excellent agreement with those foreseen by the numerical simulations.