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.

@article{SalmoiraghiScardigliTelibRozza2018,
author = {Salmoiraghi, Filippo and Scardigli, Angela and Telib, Haysam and Rozza, Gianluigi},
title = {Free-form deformation, mesh morphing and reduced-order methods: enablers for efficient aerodynamic shape optimisation},
year = {2018},
journal = {International Journal of Computational Fluid Dynamics},
volume = {32},
number = {4-5},
pages = {233-247},
year = {2018},
publisher = {Taylor & Francis},
doi = {10.1080/10618562.2018.1514115}
}