Minimization and Quantification of Errors and Uncertainties in RANS Modeling
Pages: 77 - 100
Published: Jan 1, 2013
Abstract
Owing to their affordable computational cost relative to higher-fidelity approaches such as large-eddy simulation (LES), statistical turbulence models are currently the principle workhorse for the simulation of turbulent flows in industrial aerodynamics. However, significant problems arise from the inherent empricism of such Reynolds-averaged Navier-Stokes (RANS) approaches. First and foremost, the current state of the art is that no...
Paper Details
Title
Minimization and Quantification of Errors and Uncertainties in RANS Modeling
Published Date
Jan 1, 2013
Pages
77 - 100
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