activity
20202022
most citedLearning Optimal Parametric Hydrodynamic Database for Vortex-Induced Crossflow Vibration Prediction

5 citations · 12 across the 4 of their papers we have counts for

collaborators

6 papers

cs.LG20224 cited

Physics-Informed Bayesian Learning of Electrohydrodynamic Polymer Jet Printing Dynamics

Athanasios Oikonomou, Theodoros Loutas, Dixia Fan +4

Calibration of highly dynamic multi-physics manufacturing processes such as electro-hydrodynamics-based additive manufacturing (AM) technologies (E-jet printing) is still performed…

physics.flu-dyn20215 cited

Learning Optimal Parametric Hydrodynamic Database for Vortex-Induced Crossflow Vibration Prediction

Samuel Rudy, Dixia Fan, Jose del Aguila Ferrandis +2

The Vortex-induced vibration (VIV) prediction of long flexible cylindrical structures relies on the accuracy of the hydrodynamic database constructed via rigid cylinder forced vibr…

physics.flu-dyn2021

Fluid forces and vortex patterns of an oscillating cylinder pair in still water with both side-by-side and tandem configurations

Ang Li, Shengmin Shi, Dixia Fan

Models of cylinders in the oscillatory flow can be found virtually everywhere in the marine industry, such as pump towers experiencing sloshing load in a LNG ship liquid tank. Howe…

physics.flu-dyn2020

A fast multi-fidelity method with uncertainty quantification for complex data correlations: Application to vortex-induced vibrations of marine risers

Xuhui Meng, Zhicheng Wang, Dixia Fan +2

We develop a fast multi-fidelity modeling method for very complex correlations between high- and low-fidelity data by working in modal space to extract the proper correlation funct…

physics.flu-dyn20203 cited

An active learning strategy to study the flow control of a stationary cylinder with two asymmetrically attached rotating cylinders

Juhan Wang, Dixia Fan

We numerically investigate the flow control problem of the flow passing a stationary cylinder at a fixed Reynold number 500 using two attached control cylinders with different rota…

physics.flu-dyn2020

Reinforcement Learning for Active Flow Control in Experiments

Dixia Fan, Liu Yang, Michael S Triantafyllou +1

We demonstrate experimentally the feasibility of applying reinforcement learning (RL) in flow control problems by automatically discovering active control strategies without any pr…