4.5 Article

Adjoint RANS with filtered shape derivatives for hydrodynamic optimisation

期刊

COMPUTERS & FLUIDS
卷 47, 期 1, 页码 22-32

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.compfluid.2011.01.041

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Adjoint RANS; Gradient smoothness; Filtered shape derivatives; Design optimization; Unstructured grids

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The adjoint RANS method has been implemented in the framework of an unstructured general-purpose finite volume code following the derive-then-discretise strategy (continuous adjoint approach). An explicit filtering technique is applied to the shape derivatives in order to extract noise from the mesh-based representation of high-resolution. In a CAD-free optimisation strategy the method is applied to a semicircular profile in incompressible, external flow. It was observed that the filtering is particularly relevant at high Reynolds-numbers. In the complex scenario of ship hull design, the filtered shape derivative can directly be applied to the base-line configuration in order to support both manual and automatic shape optimisation. (C) 2011 Elsevier Ltd. All rights reserved.

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