Model-form uncertainty quantification of Reynolds-averaged Navier–Stokes modeling of flows over a SD7003 airfoil

Reynolds-averaged Navier–Stokes (RANS) models are known to be inaccurate in complex flows, for instance, laminar-turbulent transition, and RANS uncertainty quantification (UQ) is essential estimate the their predictions. In this study, a recent physics-based UQ framework that introduces eigenvalue, eigenvector, turbulence kinetic energy perturbations modeled Reynolds stress tensor has been used flow field. We introduce regression-based marker function focuses on perturbation simulation of transitional flows over an Selig–Donovan 7003 airfoil. observed monotonic behavior magnitude predicted bounds varying with perturbation. Importantly, show synergy dramatically increases size can successfully encompass reference data when eigenvalue augmented function.