DOI: 10.1615/TSFP4
A K-OMEGA ANALYSIS OF TURBULENT SUPERSONIC CHANNEL FLOW DNS DATA
ABSTRACT
Statistical modeling of turbulent supersonic channel flow is considered on the basis of direct numerical simulation (DNS) data. First, the DNS data are studied within the frame of a turbulence model, this means the model parameters are calculated such that the turbulence model predictions agree with corresponding DNS data. This representation of DNS data is used to analyze the structure of the turbulence model considered for different Reynolds and Mach numbers. It is shown that standard modeling assumptions (e.g., regarding the structure of the turbulence frequency equation) are inapplicable to the flows considered. New closure models are developed, therefore, which result in a turbulence model that is optimized for a class of channel flows.