10 citations · 12 across the 3 of their papers we have counts for
3 papers · 1 filter
Parameter Estimation for RANS Models Using Approximate Bayesian Computation
Olga A. Doronina, Scott M. Murman, Peter E. Hamlington
We use approximate Bayesian computation (ABC) to estimate unknown parameter values, as well as their uncertainties, in Reynolds-averaged Navier-Stokes (RANS) simulations of turbule…
Analysis of high-order velocity moments in a strained channel flow
S. V. Poroseva, S. M. Murman
In the current study, model expressions for fifth-order velocity moments obtained from the truncated Gram-Charlier series expansions model for a turbulent flow field probability de…
Toward a chaotic adjoint for LES
Patrick J. Blonigan, Pablo Fernandez, Scott M. Murman +3
Adjoint-based sensitivity analysis methods are powerful tools for engineers who use flow simulations for design. However, the conventional adjoint method breaks down for scale-reso…