Macroscopic Forcing Method and its application in assessment of RANS models

In this talk we introduce a statistical method, which we call the Macroscopic Forcing Method (MFM), that can be combined with solutions from DNS data to reveal quantitative information about the differential operators in RANS models. We introduce MFM by applying it to example canonical problems, and demonstrate its capability in revealing errors associated with assumed model forms, e.g. standard eddy diffusivity, regardless of the tuning of their coefficient distribution. We will also demonstrate examples of MFM-inspired corrections to existing RANS models leading to significant improvement in their predictive capability.