2012
DOI: 10.1017/s0001924000007181
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Surrogate based design optimisation of composite aerofoil cross-section for helicopter vibration reduction

Abstract: Design optimisation of a helicopter rotor blade is performed. The objective is to reduce helicopter vibration and constraints are put on frequencies and aeroelastic stability. The ply angles of the D-spar and skin of the composite rotor blade with NACA 0015 aerofoil section are considered as design variables. Polynomial response surfaces and space filling experimental designs are used to generate surrogate models of the objective function with respect to crosssection properties. The stacking sequence correspon… Show more

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Cited by 19 publications
(11 citation statements)
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“…Surrogate based optimization technique have been used earlier for the design of composite rotor blade [27,28]. However in these studies, only continuous design variables were considered.…”
Section: Optimization For Composite Structuresmentioning
confidence: 99%
“…Surrogate based optimization technique have been used earlier for the design of composite rotor blade [27,28]. However in these studies, only continuous design variables were considered.…”
Section: Optimization For Composite Structuresmentioning
confidence: 99%
“…Research on this technology has always been considered and explored by many different countries. The most effective way to improve the helicopter rotor noise and radar stealth abilities is to reduce their aerodynamic noise and radar scattering characteristics [2][3][4]. On the one hand, aerodynamic noise is one of the main noise sources of helicopter rotors, including thickness noise, loading noise, and highspeed impulse (HSI) noise.…”
Section: Introductionmentioning
confidence: 99%
“…Surrogate-based optimization techniques have been used earlier for the design of the composite rotor blade [22,23] and for the design of an active rotor blade with a Gurney flap in [24]. However, in these studies, only continuous design variables were considered.…”
Section: Introductionmentioning
confidence: 99%