A computationally affordable multi-fidelity approach to parametric studies

ORAL

Abstract



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.

*The work is supported by AFSOR grant FA9550-19-1-0210. Computing time was provided by the DOE INCITE program and UMD super comuting resources (Deepthought2,https://hpcc.umd.edu)

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Presenters

  • Nikhil Oberoi

    • University of Maryland, College Park

Authors

  • Nikhil Oberoi

    • University of Maryland, College Park

  • Walter Arias-Ramirez

    • University of Maryland, College Park

  • Johan Larsson

    • University of Maryland, College Park