Multi-objective optimization of sandwich structures for reinforcing composite fuselages
Source abstract
Abstract
This study introduces a simulation-based optimization approach that combines a multi-objective genetic algorithm and the finite element method to design sandwich structures to reinforce composite fuselages. The sandwich structure has been parametrized with a set of mixed integer-continuous variables representing the polymer core thickness, the number and weight of laminated fiberglass layers, and size and position of the structure. Automatic scripting builds the geometry of the structure, then mounts it in the fuselage, and finally creates a conformal mesh. During the optimization, each reinforced fuselage is subjected to several load cases specified by the CS-22 EASA design standard, determining the worst load condition. Two objectives were considered: increasing the reinforced fuselage’s minimum fiber stress safety factor for improved safety and reducing the number of layers of the sandwich structure to minimize manufacturing costs. Structural constraints were the mass of the sandwich structure and buckling and flexo-torsional deformation of the reinforced fuselage. Results show an efficient material arrangement due to the reduced number of layers in the sandwich structure and a stress safety factor surpassing that set by the standard. Finally, the reinforcement of a glider fuselage to incorporate a retractable electric propulsion system is presented as a real-world industrial application.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Topology Optimization in Engineering · Advanced Multi-Objective Optimization Algorithms · Composite Structure Analysis and Optimization
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
CIMEC Centro de Investigación de Métodos Computacionales, CONICET Santa Fe, Santa Fe, Argentina
Funding
Consejo Nacional de Investigaciones Científicas y Técnicas · Agencia Santafesina de Ciencia, Tecnología e Innovación · National Technological University of Argentina
References (27)
Show source-provided references
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