Time-Varying Stochastic Turbulence Model

摘要

In this paper we present a new stochastic model for time-varying turbulence. The model can be viewed as a linearization of the Navier-Stokes equation, with deterministic drift and diffusion terms, plus an additional stochastic driving term. Fixed-time realizations of the model have Kolmogorov statistics, but the diffusion and stochastic driving terms yield " boiling" behavior that is different from the Taylor frozen flow model.