Designing a vehicle exterior shape takes place at the intersection between styling and aerodynamics-two disciplines with often competing notions. This calls for an interactive shape design process that delivers aerodynamic responses to design modifications in realtime. Reduced Order Modeling (ROM) is a well-known concept to accelerate aerodynamic computations. The main objective of this investigation is therefore to assess the performance of ROM for industrial-sized problems in terms of accuracy and computational cost for real-time vehicle aerodynamics. We focus specifically on an interpolation-based approach, combining Proper Orthogonal Decomposition (POD) and the statistical Response Surface Modeling (RSM) technique Kriging. A new extension to this known approach is presented, which is able to handle data of different levels of accuracy. Both the conventional single-and the newly developed multi-fidelity approach are applied to time-averaged Detached-Eddy Simulations (DES) in combination with Reynolds-Averaged Navier-Stokes simulations (RANS) of a production passenger car.
|Title of host publication||AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials|
|Publisher||American Institute of Aeronautics and Astronautics|
|Publication status||Published - 2018|
|Event||AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference, 2018 - Kissimmee, United States|
Duration: 8. Jan 2018 → 12. Jan 2018
|Conference||AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference, 2018|
|Period||08/01/2018 → 12/01/2018|