Optimum Design of Damage Resistant Reinforced Composite Panels

Andrea Sellitto

doi:10.4028/www.scientific.net/KEM.827.37

Paper Titles

Fibreglass Reinforced Polymer Structure Response under Different Impact Scenarios
p.13

Numerical and Experimental Investigation on the Energy Absorption Capability of a Full-Scale Composite Fuselage Section
p.19

Finite Element Modelling of Delamination Onset in Polymeric Composite Material
p.25

Ultrasonic Damage Detection of Impacted Long and Short Fibre Composite Specimens
p.31

Optimum Design of Damage Resistant Reinforced Composite Panels
p.37

Nanofillers’ Effects on Fracture Energy in Composite Aerospace Structures
p.43

Experimental Investigation on the Mechanical Behaviour of Natural Fibre Sandwich Panels with Posidonia Core
p.49

Material Model Development of Sandwich Composite: Numerical-Experimental Investigation of Head Dummy Impacting at Vehicle Interior Components
p.55

Production and Characterization of Boride Coatings on Steels
p.61

HomeKey Engineering MaterialsKey Engineering Materials Vol. 827Optimum Design of Damage Resistant Reinforced...

Optimum Design of Damage Resistant Reinforced Composite Panels

Abstract:

In this work, an optimization procedure able to determine the optimum design of a stiffened aeronautical panel subjected to low velocity impacts is presented. As design variables, the number of plies and the stacking sequence of the panel have been considered. The optimization is based on a genetic algorithm, while the onset of the impact induced damage is predicted by means of an approach based on the critical impact force threshold. A multi-objective optimization has been carried out to determine, among the configurations able to withstand the low velocity impacts, the ones characterized by the maximum buckling load and the minimum weight.

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Periodical:

Key Engineering Materials (Volume 827)

Pages:

37-42

DOI:

https://doi.org/10.4028/www.scientific.net/KEM.827.37

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Online since:

December 2019

Authors:

Andrea Sellitto*

Keywords:

Composites, Damage Resistance, Genetic Algorithm, Optimization

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* - Corresponding Author

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