RANS simulation of unsteady cavitation around a Clark-Y hydrofoil with the assistance of machine learning

A review of cavitation in tip-leakage flow and its control

(2021) Huai-yu Cheng et al.   Journal of Hydrodynamics

Deep reinforcement learning in fluid mechanics: A promising method for both active flow control and shape optimization

(2020) Jean Rabault et al.   Journal of Hydrodynamics

A flow feature detection method for modeling pressure distribution around a cylinder in non-uniform flows by using a convolutional neural network

(2020) Shuran Ye et al.   Scientific Reports

Investigation of unsteady liquid nitrogen cavitating flows with special emphasis on the vortex structures using mode decomposition methods

(2020) Wendong Liang et al.   INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER

Numerical investigation of unsteady cloud cavitating flow around the Clark-Y hydrofoil with adaptive mesh refinement using OpenFOAM

(2020) Ziyang Wang et al.   OCEAN ENGINEERING

A new Euler-Lagrangian cavitation model for tip-vortex cavitation with the effect of non-condensable gas

(2020) Huaiyu Cheng et al.   INTERNATIONAL JOURNAL OF MULTIPHASE FLOW

Numerical simulations of propeller cavitation flows based on OpenFOAM

(2020) Min-sheng Zhao et al.   Journal of Hydrodynamics

Cavitation Model Calibration Using Machine Learning Assisted Workflow

(2020) Ante Sikirica et al.   Mathematics

Machine learning methods for turbulence modeling in subsonic flows around airfoils

(2019) Linyang Zhu et al.   PHYSICS OF FLUIDS

Influence of water quality on the tip vortex cavitation inception

(2019) Linya Chen et al.   PHYSICS OF FLUIDS

Verification and validation of Large Eddy Simulation of attached cavitating flow around a Clark-Y hydrofoil

(2019) Yun Long et al.   INTERNATIONAL JOURNAL OF MULTIPHASE FLOW

Large eddy simulation of the tip-leakage cavitating flow with an insight on how cavitation influences vorticity and turbulence

(2019) H.Y. Cheng et al.   APPLIED MATHEMATICAL MODELLING

Applying extended intrinsic mean spin tensor in evolution algorithm for RANS modelling of turbulent rotating channel flow

(2019) Wei Zhang et al.   Journal of Hydrodynamics

Physics-informed machine learning approach for augmenting turbulence models: A comprehensive framework

(2018) Jin-Long Wu et al.   Physical Review Fluids

Application of deep learning method to Reynolds stress models of channel flow based on reduced-order modeling of DNS data

(2018) Zhen Zhang et al.   Journal of Hydrodynamics

Investigations of data-driven closure for subgrid-scale stress in large-eddy simulation

(2018) Zhuo Wang et al.   PHYSICS OF FLUIDS

Compressible effect on the cavitating flow: A numeric study

(2017) Wei Zhang et al.   Journal of Hydrodynamics

Numerical investigation of attached cavitation shedding dynamics around the Clark-Y hydrofoil with the FBDCM and an integral method

(2017) Xinping Long et al.   OCEAN ENGINEERING

Ventilated cloud cavitating flow around a blunt body close to the free surface

(2017) Yiwei Wang et al.   Physical Review Fluids

Physics-informed machine learning approach for reconstructing Reynolds stress modeling discrepancies based on DNS data

(2017) Jian-Xun Wang et al.   Physical Review Fluids

Reynolds averaged turbulence modelling using deep neural networks with embedded invariance

(2016) Julia Ling et al.   JOURNAL OF FLUID MECHANICS

Using field inversion to quantify functional errors in turbulence closures

(2016) Anand Pratap Singh et al.   PHYSICS OF FLUIDS

Numerical and Experimental Investigation of Tip Leakage Vortex Cavitation Patterns and Mechanisms in an Axial Flow Pump

(2015) Desheng Zhang et al.   JOURNAL OF FLUIDS ENGINEERING-TRANSACTIONS OF THE ASME

Evaluation of machine learning algorithms for prediction of regions of high Reynolds averaged Navier Stokes uncertainty

(2015) J. Ling et al.   PHYSICS OF FLUIDS

Combined Experimental and Computational Investigation of Unsteady Structure of Sheet/Cloud Cavitation

(2013) Biao Huang et al.   JOURNAL OF FLUIDS ENGINEERING-TRANSACTIONS OF THE ASME