Abstract
A technique is presented for the computer detection of temperature fronts in a turbulent shear flow. The detection variable is the product, averaged over a given duration, of temperature fluctuations at a given number of spatial locations. Efficient algorithms are developed for computing the product and for determining accurately the instants of detection, aided by simulations, using model temperature fronts. Ensemble averages of temperature and velocity are obtained for the self-preserving region of a turbulent plane jet.
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