Invariant data-driven subgrid stress modeling in the strain-rate eigenframe for large eddy simulation

A Prakash, KE Jansen, JA Evans - Computer Methods in Applied …, 2022 - Elsevier
We present a new approach for constructing data-driven subgrid stress models for large
eddy simulation of turbulent flows. The key to our approach is representation of model input …

Parameter Estimation for Reynolds-Averaged Navier–Stokes Models Using Approximate Bayesian Computation

OA Doronina, SM Murman, PE Hamlington - Aiaa Journal, 2021 - arc.aiaa.org
Approximate Bayesian computation (ABC) is used to estimate unknown parameter values,
as well as their uncertainties, in Reynolds-averaged Navier–Stokes (RANS) simulations of …

Parameter Estimation for RANS Models Using Approximate Bayesian Computation

OA Doronina, SM Murman, PE Hamlington - arXiv preprint arXiv …, 2020 - arxiv.org
We use approximate Bayesian computation (ABC) to estimate unknown parameter values,
as well as their uncertainties, in Reynolds-averaged Navier-Stokes (RANS) simulations of …