Prediction of Single-Point Temperature Statistics in a Half-Heated Grid Flow

Abstract

A single-point probability density function is constructed to describe temperature statistics in the turbulence downstream of a half-heated biplane grid. Analytical conditioning is used to decompose the thermal field into distinct regions to which existing closure approximations are applied. Excellent agreement with measured pdf's, and the four lowest order moments of temperature, over most of the flow cross section, except near the cold boundary, gives strong support to existing closures for turbulent transport and mixing. The extension of analytical conditioning to reactive flows awaits experimental verification of entrainment rate and inter-mtttency factor predictions.