Search Results for author: Xiangyu Hu

Found 5 papers, 4 papers with code

Numerical investigation of minimum drag profiles in laminar flow using deep learning surrogates

1 code implementation29 Sep 2020 Li-Wei Chen, Berkay Alp Cakal, Xiangyu Hu, Nils Thuerey

In the present study, U-net based deep neural network (DNN) models are trained with high-fidelity datasets to infer flow fields, and then employed as surrogate models to carry out the shape optimisation problem, i. e. to find a drag minimal profile with a fixed cross-section area subjected to a two-dimensional steady laminar flow.

Fluid Dynamics

A Combined Data-driven and Physics-driven Method for Steady Heat Conduction Prediction using Deep Convolutional Neural Networks

no code implementations16 May 2020 Hao Ma, Xiangyu Hu, Yuxuan Zhang, Nils Thuerey, Oskar J. Haidn

For the data-driven based method, the introduction of physical equation not only is able to speed up the convergence, but also produces physically more consistent solutions.

Deep Learning Methods for Reynolds-Averaged Navier-Stokes Simulations of Airfoil Flows

2 code implementations18 Oct 2018 Nils Thuerey, Konstantin Weissenow, Lukas Prantl, Xiangyu Hu

With this study we investigate the accuracy of deep learning models for the inference of Reynolds-Averaged Navier-Stokes solutions.

Liquid Splash Modeling with Neural Networks

1 code implementation14 Apr 2017 Kiwon Um, Xiangyu Hu, Nils Thuerey

We use neural networks to model the regression of splash formation using a classifier together with a velocity modifier.


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