Abstract

An alternative turbulence modelling approach in practice is given by the map-based, stochastic, one-dimensional turbulence (ODT) model [1]. In ODT , numerical efficiency is obtained by a lower-order formulation. Accuracy, however, is addressed by resolving relevant scales of the flow, but within a quasi-one-dimensional framework. ODT enables self-contained flow simulations in which the stand-alone model application may be viewed as simulating flow evolution on a representative line-of-sight through the turbulent flow. Physically, such a line is an open system that is continuously refreshed by fluid transport across the line of sight. For this line, molecular-diffusive processes are directly resolved wheres the effects of turbulent advection are modelled by stochastically selected, discrete eddy (mapping) events. In this talk, I will introduce how I am using ODT to predict far-field noise from an axisymmetric turbulent jet [2].

[1] A.R. Kerstein, One-dimensional turbulence: model formulation and application to homogeneous turbulence, shear flows, and buoyant stratified flows, Journal of Fluid Mechanics. 392 (1999) 277–334.

[2] S. Sharma, M. Klein, H. Schmidt, Features of far-downstream asymptotic velocity fluctuations in a round jet: A one-dimensional turbulence study, Physics of Fluids. 34 (2022) 085134.