A computational uncertainty analysis is conducted for turbulence simulation. The major sources of error, the model error and the numerical errors, are analyzed strictly based on the physical nature of turbulence. Through these analyses, a clear technical roadmap is laid out towards building a reliable engineering turbulence simulation capability.Peer reviewed: YesNRC publication: Ye
Direct numerical simulation (DNS) provides unrivalled levels of detail and accuracy for simulating t...
A large-eddy simulation database of homogeneous isotropic decaying turbulence is used to assess four...
Direct numerical simulation (DNS) of turbulent flows is reviewed here. Back-ground of DNS is present...
This book presents methodologies for analysing large data sets produced by the direct numerical simu...
Although turbulent flows are common in the world around us, a solution to the fundamental equations ...
RANS simulations and DNS simulations for the manuscript 'A hybrid approach combining DNS and RANS si...
Abstract. The modus operandi of modern applied mathematics in developing very recent mathematical st...
The problem of accurate and reliable prediction of turbulent flows is a central and intractable chal...
International audienceIn computational fluid dynamics simulations of industrial flows, models based ...
Thesis: Ph. D., Massachusetts Institute of Technology, Department of Nuclear Science and Engineering...
The goal of this work is to determine the effect of grid topology and flow solver discretization on ...
PECOS ’ ablation rate predictions are highly sensitive to turbulence modeling PECOS ’ uncertainty qu...
International audienceThis paper presents a sensitivity analysis of structural turbulence uncertaint...
Physical uncertainties due to atmospheric variations and production tolerances can nowadays have a l...
Direct numerical simulation (DNS) provides unrivalled levels of detail and accuracy for simulating t...
Direct numerical simulation (DNS) provides unrivalled levels of detail and accuracy for simulating t...
A large-eddy simulation database of homogeneous isotropic decaying turbulence is used to assess four...
Direct numerical simulation (DNS) of turbulent flows is reviewed here. Back-ground of DNS is present...
This book presents methodologies for analysing large data sets produced by the direct numerical simu...
Although turbulent flows are common in the world around us, a solution to the fundamental equations ...
RANS simulations and DNS simulations for the manuscript 'A hybrid approach combining DNS and RANS si...
Abstract. The modus operandi of modern applied mathematics in developing very recent mathematical st...
The problem of accurate and reliable prediction of turbulent flows is a central and intractable chal...
International audienceIn computational fluid dynamics simulations of industrial flows, models based ...
Thesis: Ph. D., Massachusetts Institute of Technology, Department of Nuclear Science and Engineering...
The goal of this work is to determine the effect of grid topology and flow solver discretization on ...
PECOS ’ ablation rate predictions are highly sensitive to turbulence modeling PECOS ’ uncertainty qu...
International audienceThis paper presents a sensitivity analysis of structural turbulence uncertaint...
Physical uncertainties due to atmospheric variations and production tolerances can nowadays have a l...
Direct numerical simulation (DNS) provides unrivalled levels of detail and accuracy for simulating t...
Direct numerical simulation (DNS) provides unrivalled levels of detail and accuracy for simulating t...
A large-eddy simulation database of homogeneous isotropic decaying turbulence is used to assess four...
Direct numerical simulation (DNS) of turbulent flows is reviewed here. Back-ground of DNS is present...