A computationally affordable multi-fidelity approach to parametric studies

The focus of this work is to come up with a computationally affordable way to perform approximate parametric studies of high-fidelity (LES/DNS) data. The method relies on defining a linerized RANS problem around the LES/DNS mean flow fields. The method is assessed on a shock/boundary-layer interaction problem where the shock strength and wall temperature are varied.