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SUMMARY:From turbulence to sound: Exploring the power of map-based turbule
 nce   models and Lighthill's acoustic analogy - Sparsh Sharma
DTSTART:20230302T140000Z
DTEND:20230302T150000Z
UID:TALK197947@talks.cam.ac.uk
CONTACT:Shiza Naqvi
DESCRIPTION:An alternative turbulence modelling approach in practice is  \
 ngiven by the map-based\, stochastic\, one-dimensional turbulence (ODT)  \
 nmodel [1]. In ODT\, numerical efficiency is obtained by a lower-order  \n
 formulation. Accuracy\, however\, is addressed by resolving relevant  \nsc
 ales of the flow\, but within a quasi-one-dimensional framework. ODT  \nen
 ables self-contained flow simulations in which the stand-alone model  \nap
 plication may be viewed as simulating flow evolution on a  \nrepresentativ
 e line-of-sight through the turbulent flow. Physically\,  \nsuch a line is
  an open system that is continuously refreshed by fluid  \ntransport acros
 s the line of sight. For this line\, molecular-diffusive  \nprocesses are 
 directly resolved wheres the effects of turbulent  \nadvection are modelle
 d by stochastically selected\, discrete eddy  \n(mapping) events.\nIn this
  talk\, I will introduce how I am using ODT to predict far-field  \nnoise 
 from an axisymmetric turbulent jet [2].\n\n[1] A.R. Kerstein\, One-dimensi
 onal turbulence: model formulation and  \napplication to homogeneous turbu
 lence\, shear flows\, and buoyant  \nstratified flows\, Journal of Fluid M
 echanics. 392 (1999) 277–334.  \n\n[2] S. Sharma\, M. Klein\, H. Schmidt
 \, Features of far-downstream  \nasymptotic velocity fluctuations in a rou
 nd jet: A one-dimensional  \nturbulence study\, Physics of Fluids. 34 (202
 2) 085134.  \n
LOCATION:MR14
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