Computer Science – Computational Engineering – Finance – and Science
Scientific paper
2011-10-07
Computer Science
Computational Engineering, Finance, and Science
13 pages, preprint submitted to Composite Structures
Scientific paper
This study deals with the optimisation of subcritical and supercritical laminated composite drive shafts, based on a genetic algorithm. The first part focuses on the modelling of a composite drive shaft. Flexural vibrations in a simply supported composite drive shaft mounted on viscoelastic supports, including shear effects are studied. In particular, an analytic stability criterion is developed to ensure the integrity of the system. The torsional strength is then computed with the maximum stress criterion, assuming the coupling effects to be null. Torsional buckling of thin walled composite tubes is modelled using a combination between laminate theory and Fl\"ugge theory. In the second part, the genetic algorithm is developed. The last part presents a comparative study between various composite materials solutions on a helicopter tail rotor driveline. In particular, hybrid tubes consisting of high modulus and high resistance carbon/epoxy plies are studied. These solutions make it possible to replace the conventional driveline consisting of five aluminium tubes by either three subcritical composite shafts or one supercritical composite shaft. The saving weight is equal to 42% and 72%, respectively. This study yielded some general rules for designing an optimum composite shaft which can be used without any optimisation algorithms.
Hochard Christian
Montagnier Olivier
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