49 citations · 54 across the 10 of their papers we have counts for
10 papers
Turbulence enhancement of a fan array wind generator using geometric texturing and optimization-based control
Gengshou Cao, Tamir Shaqarin, Zhutao Jiang +5
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 investi…
Fast and robust parametric and functional learning with Hybrid Genetic Optimisation (HyGO)
Isaac Robledo, Yiqing Li, Guy Y. Cornejo Maceda +1
The Hybrid Genetic Optimisation framework (HYGO) is introduced to meet the pressing need for efficient and unified optimisation frameworks that support both parametric and function…
Equivariant U-Shaped Neural Operators for the Cahn-Hilliard Phase-Field Model
Xiao Xue, Marco F. P. ten Eikelder, Tianyue Yang +4
Phase separation in binary mixtures, governed by the Cahn-Hilliard equation, plays a central role in interfacial dynamics across materials science and soft matter. While numerical…
Design of the wavy wall in a partially heated channel using CFD simulations and human-assisted Bayesian optimization
Piotr Kamiński, Karol Wawrzak, Yiqing Li +2
This study explores heated wavy wall shape design in channel flow using machine learning, aiming to minimize temperature variation () while limiting pressure loss (). A co…
Origin and control of pseudo-rotating spiral jets
Karol Wawrzak, Yiqing Li, Bernd R. Noack +1
Active flow control (AFC) methods for jet-type flows have been extensively explored since the 1970s. Spectacular examples demonstrating the AFC power and the beauty of fluid mechan…
Experimental jet control with Bayesian optimization and persistent data topology
Johann Moritz Reumschüssel, Yiqing Li, Philipp Maximilian zur Nedden +3
This study experimentally optimizes the mixing of a turbulent jet at with the surrounding air by targeted shear layer actuation. The forcing is composed of superposed ha…
Jet mixing enhancement with Bayesian optimization, deep learning, and persistent data topology
Yiqing Li, Bernd R. Noack, Tianyu Wang +4
We optimize the jet mixing using large eddy simulations (LES) at a Reynolds number of . Key methodological enablers consist of Bayesian optimization, a surrogate model enhanc…
Stabilization of the fluidic pinball with gradient-enriched machine learning control
Guy Y. Cornejo Maceda, Yiqing Li, François Lusseyran +2
We stabilize the flow past a cluster of three rotating cylinders, the fluidic pinball, with automated gradient-enriched machine learning algorithms. The control laws command the ro…
Towards human-interpretable, automated learning of feedback control for the mixing layer
Hao Li, Guy Y. Cornejo Maceda, Yiqing Li +3
We propose an automated analysis of the flow control behaviour from an ensemble of control laws and associated time-resolved flow snapshots. The input may be the rich data base of…
Explorative gradient method for active drag reduction of the fluidic pinball and slanted Ahmed body
Yiqing Li, Wenshi Cui, Qing Jia +4
We address a challenge of active flow control: the optimization of many actuation parameters guaranteeing fast convergence and avoiding suboptimal local minima. This challenge is a…