Random field reconstruction of inhomogeneous turbulence. Part II: Numerical approximation and simulation

Fuente: arXiv
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Autori principali: Antoni, Markus, Kürpick, Quinten, Lindner, Felix, Marheineke, Nicole, Wegener, Raimund
Natura: Preprint
Pubblicazione: 2025
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author Antoni, Markus
Kürpick, Quinten
Lindner, Felix
Marheineke, Nicole
Wegener, Raimund
author_facet Antoni, Markus
Kürpick, Quinten
Lindner, Felix
Marheineke, Nicole
Wegener, Raimund
contents A novel random field model or the reconstruction of turbulent velocity fluctuations from inhomogeneous characteristic flow quantities in terms of stochastic Fourier-type integrals has recently been introduced and analyzed by the authors. This article concerns the numerical discretization and implementation of the model and discusses its key features by means of numerical simulations. We present a suitable discretization scheme that combines a randomized quadrature method for stochastic integrals with a local linearization of the non-uniform advection of the turbulent structures by the mean flow. The convergence of the scheme towards the continuous model is verified analytically. Moreover, we describe an efficient algorithmic implementation that allows for flexible local evaluations of the simulated turbulence field. The main features of the model are illustrated by a variety of simulation results, each highlighting specific aspects such as the influence of the inhomogeneous model parameters on the generated fluctuations, spatio-temporal ergodicity properties under inhomogeneous flow conditions, and the validity of Kolmogorov's two-thirds law in dependence on the local turbulence Reynolds number.
format Preprint
id arxiv_https___arxiv_org_abs_2509_02570
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Random field reconstruction of inhomogeneous turbulence. Part II: Numerical approximation and simulation
Antoni, Markus
Kürpick, Quinten
Lindner, Felix
Marheineke, Nicole
Wegener, Raimund
Fluid Dynamics
Probability
60G60, 60H05, 65C05 76F55, 76M35
A novel random field model or the reconstruction of turbulent velocity fluctuations from inhomogeneous characteristic flow quantities in terms of stochastic Fourier-type integrals has recently been introduced and analyzed by the authors. This article concerns the numerical discretization and implementation of the model and discusses its key features by means of numerical simulations. We present a suitable discretization scheme that combines a randomized quadrature method for stochastic integrals with a local linearization of the non-uniform advection of the turbulent structures by the mean flow. The convergence of the scheme towards the continuous model is verified analytically. Moreover, we describe an efficient algorithmic implementation that allows for flexible local evaluations of the simulated turbulence field. The main features of the model are illustrated by a variety of simulation results, each highlighting specific aspects such as the influence of the inhomogeneous model parameters on the generated fluctuations, spatio-temporal ergodicity properties under inhomogeneous flow conditions, and the validity of Kolmogorov's two-thirds law in dependence on the local turbulence Reynolds number.
title Random field reconstruction of inhomogeneous turbulence. Part II: Numerical approximation and simulation
topic Fluid Dynamics
Probability
60G60, 60H05, 65C05 76F55, 76M35
url https://arxiv.org/abs/2509.02570