Turbulence enhancement of a fan array wind generator using geometric texturing and optimization-based control
Abstract
Fan array wind generators (FAWG) are designed to generate a rich set of turbulent flows reminiscent of those found in natural environments. In this study, we experimentally investigate a square FAWG consisting of 10x10 individually controllable fans with 4 cm width and a maximum velocity of 17 m/s. The goal is to maximize the turbulence intensity in the test region. Two approaches for fan operation are investigated: first, geometric texturing of the duty cycle distribution, and second, maximization of the turbulence intensity at selected hot-wire sensors with particle-swarm optimization. We find that geometric texturing (specifically a checkerboard pattern) yields a robust, uniform turbulence field (Tu ~ 0.14) driven by jet interactions. Conversely, particle swarm optimization achieves higher local turbulence (Tu ~ 0.28) but significantly sacrifices spatial uniformity. This study underscores the trade-off between local maximization and global uniformity in active turbulence generation.
Keywords
Cite
@article{arxiv.2512.14215,
title = {Turbulence enhancement of a fan array wind generator using geometric texturing and optimization-based control},
author = {Gengshou Cao and Tamir Shaqarin and Zhutao Jiang and Yutong Liu and Yiqing Li and Nan Gao and Xiaozhou He and Bernd R. Noack},
journal= {arXiv preprint arXiv:2512.14215},
year = {2025}
}