Minimization and Quantification of Errors and Uncertainties in RANS Modeling

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
Citation AnalysisPro
  • Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
  • Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.