activity
20182022
most citedFeature selection and processing of turbulence modeling based on an artificial neural network

96 citations · 210 across the 8 of their papers we have counts for

collaborators

8 papers

physics.flu-dyn2022★ 31 cited

An iterative data-driven turbulence modeling framework based on Reynolds stress representation

Yuhui Yin, Yufei Zhang, Haixin Chen +1

Data-driven turbulence modeling studies have reached such a stage that the fundamental framework is basically settled, but several essential issues remain that strongly affect the…

physics.flu-dyn2020★ 11 cited

Receptivity and stability of hypersonic leading-edge sweep flows around a blunt body

Youcheng Xi, Jie Ren, Liang Wang +1

This study performs global stability/receptivity analyses of hypersonic sweep flows around a blunt body with an infinite span. For the first time, we obtain the characteristics of…

math.NA2020★ 2 cited

A two-stage fourth-order gas-kinetic CPR method for the Navier-Stokes equations on triangular meshes

Chao Zhang, Qibing Li, Z. J. Wang +2

A highly efficient gas-kinetic scheme with fourth-order accuracy in both space and time is developed for the Navier-Stokes equations on triangular meshes. The scheme combines an ef…

physics.flu-dyn2020★ 96 cited

Feature selection and processing of turbulence modeling based on an artificial neural network

Yuhui Yin, Pu Yang, Yufei Zhang +2

Data-driven turbulence modeling has been considered an effective method for improving the prediction accuracy of Reynolds-averaged Navier-Stokes equations. Related studies aimed to…

physics.flu-dyn2020★ 13 cited

Hypersonic attachment-line instabilities with large sweep Mach numbers

Youcheng Xi, Jie Ren, Song Fu

This study aims to shed light on hypersonic attachment-line instabilities with large sweep Mach numbers. Highly swept flows over a cold cylinder that give rise to large sweep Mach…

physics.flu-dyn2020★ 16 cited

Image-based flow decomposition using empirical wavelet transform

Jie Ren, Xuerui Mao, Song Fu

We propose an image-based flow decomposition developed from the two-dimensional (2D) tensor empirical wavelet transform (EWT) (Gilles 2013). The idea is to decompose the instantane…