%0 Journal Article %J International Journal of Computational Fluid Dynamics %D 2018 %T Free-form deformation, mesh morphing and reduced-order methods: enablers for efficient aerodynamic shape optimisation %A Filippo Salmoiraghi %A Scardigli, Angela %A Telib, Haysam %A Gianluigi Rozza %X

In this work, we provide an integrated pipeline for the model-order reduction of turbulent flows around parametrised geometries in aerodynamics. In particular, free-form deformation is applied for geometry parametrisation, whereas two different reduced-order models based on proper orthogonal decomposition (POD) are employed in order to speed-up the full-order simulations: the first method exploits POD with interpolation, while the second one is based on domain decomposition. For the sampling of the parameter space, we adopt a Greedy strategy coupled with Constrained Centroidal Voronoi Tessellations, in order to guarantee a good compromise between space exploration and exploitation. The proposed framework is tested on an industrially relevant application, i.e. the front-bumper morphing of the DrivAer car model, using the finite-volume method for the full-order resolution of the Reynolds-Averaged Navier–Stokes equations.

%B International Journal of Computational Fluid Dynamics %I Taylor & Francis %V 32 %P 233-247 %G eng %R 10.1080/10618562.2018.1514115