Neural network based generation of a 1-dimensional stochastic field with turbulent velocity statistics
Signal Processing
2023-12-08 v3 Data Analysis, Statistics and Probability
Fluid Dynamics
Machine Learning
Abstract
We define and study a fully-convolutional neural network stochastic model, NN-Turb, which generates a 1-dimensional field with some turbulent velocity statistics. In particular, the generated process satisfies the Kolmogorov 2/3 law for second order structure function. It also presents negative skewness across scales (i.e. Kolmogorov 4/5 law) and exhibits intermittency as characterized by skewness and flatness. Furthermore, our model is never in contact with turbulent data and only needs the desired statistical behavior of the structure functions across scales for training.
Keywords
Cite
@article{arxiv.2211.11580,
title = {Neural network based generation of a 1-dimensional stochastic field with turbulent velocity statistics},
author = {Carlos Granero-Belinchon},
journal= {arXiv preprint arXiv:2211.11580},
year = {2023}
}