Constructs and analyzes a stochastic integral random field model for inhomogeneous turbulence derived from homogeneous spectral representations via scale-separated transformations, including a novel inhomogeneous ergodicity theorem.
An efficient and low-divergence method for gen- erating inhomogeneous and anisotropic turbulence with arbitrary spectra
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Random field reconstruction of inhomogeneous turbulence. Part I: Modeling and analysis
Constructs and analyzes a stochastic integral random field model for inhomogeneous turbulence derived from homogeneous spectral representations via scale-separated transformations, including a novel inhomogeneous ergodicity theorem.