Turbulence is a phenomenon which presents peculiarities when it is experimented or simulated.This occurs due to its complexity and high sensibility to the inlet conditions of the turbulent flow fields,as well as the p...Turbulence is a phenomenon which presents peculiarities when it is experimented or simulated.This occurs due to its complexity and high sensibility to the inlet conditions of the turbulent flow fields,as well as the presence of a large range of time and length scales.A simplification for this situation is obtained with the use of approximations and turbulence models.In the present work,the Largeeddy Simulations methodology was applied,aiming the modeling of the previously mentioned complexity,which consists in using a filter to resolve the large scales while the remaining scales were determined by classical and dynamic Smagorinsky models.Three different approximations for the inlet conditions were applied:white noise,Random Flow Generation(RFG)and Synthetic Eddy Method(SEM).It was possible to realize that the use of the dynamic Smagorinky model and the RFG or SEM methodologies resulted in a better characterization of the studied flow.展开更多
文摘Turbulence is a phenomenon which presents peculiarities when it is experimented or simulated.This occurs due to its complexity and high sensibility to the inlet conditions of the turbulent flow fields,as well as the presence of a large range of time and length scales.A simplification for this situation is obtained with the use of approximations and turbulence models.In the present work,the Largeeddy Simulations methodology was applied,aiming the modeling of the previously mentioned complexity,which consists in using a filter to resolve the large scales while the remaining scales were determined by classical and dynamic Smagorinsky models.Three different approximations for the inlet conditions were applied:white noise,Random Flow Generation(RFG)and Synthetic Eddy Method(SEM).It was possible to realize that the use of the dynamic Smagorinky model and the RFG or SEM methodologies resulted in a better characterization of the studied flow.
