2019
DOI: 10.1016/j.ijnonlinmec.2018.11.007
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Efficient aeroelastic beam modelling and the selection of a structural shape basis

Abstract: Efficient aeroelastic beam modelling and the selection of a structural shape basis. AbstractThis paper considers the selection of structural shape bases for the modelling of flexible beams using the nonlinear beam shapes formulation. The approach provides a low order geometrically nonlinear representation of a flexible beam using a kinematic description that is geometrically exact; a minimal state representation is achieved by projecting the problem onto a set of shape functions spanning the beam. Motivated by… Show more

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Cited by 5 publications
(2 citation statements)
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“…For a full derivation and simple test-case validation studies, including the selection of a structural shape basis, see [24,26].…”
Section: B Nonlinear Beam Shapes (Nbs) Structural Solvermentioning
confidence: 99%
“…For a full derivation and simple test-case validation studies, including the selection of a structural shape basis, see [24,26].…”
Section: B Nonlinear Beam Shapes (Nbs) Structural Solvermentioning
confidence: 99%
“…For this task, the code was enabled with a Fluid-Structure Interaction (FSI) algorithm responsible for coupling the structural and aerodynamic models by recurring to a loosely coupled scheme (where despite fluid and structure models being solved separately, the solution only advances in time when convergence between fluid and structure models is reached) that ensures consistency, but not energy conservation. Despite the use of low-medium fidelity aerodynamic (3D panel method with viscous and compressibility corrections) and structural (3D condensed beam model based on wing-box mass and inertia calculations) models, their applicability to preliminary design is adequate since they capture the main physical phenomena and allow exploring the design space [35,36]. The aerodynamic, structural and aeroelastic models were benchmarked [33,34] with existing data available in the literature.…”
Section: Aeroelastic Frameworkmentioning
confidence: 99%