Deep neural network-based strategy for optimal sensor placement in data assimilation of turbulent flow

Image-based fluid data assimilation with deep neural network

(2020) Takashi Misaka   STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION

Data assimilation and resolvent analysis of turbulent flow behind a wall-proximity rib

(2019) Chuangxin He et al.   PHYSICS OF FLUIDS

Super-resolution reconstruction of turbulent flows with machine learning

(2019) Kai Fukami et al.   JOURNAL OF FLUID MECHANICS

Large-eddy simulation of circular jet mixing: Lip- and inner-ribbed nozzles

(2018) Chuangxin He et al.   COMPUTERS & FLUIDS

Prediction model of velocity field around circular cylinder over various Reynolds numbers by fusion convolutional neural networks based on pressure on the cylinder

(2018) Xiaowei Jin et al.   PHYSICS OF FLUIDS

Recovering turbulent flow field from local quantity measurement: turbulence modeling using ensemble-Kalman-filter-based data assimilation

(2018) Zhiwen Deng et al.   JOURNAL OF VISUALIZATION

Deep learning of vortex-induced vibrations

(2018) Maziar Raissi et al.   JOURNAL OF FLUID MECHANICS

A data assimilation model for turbulent flows using continuous adjoint formulation

(2018) Chuangxin He et al.   PHYSICS OF FLUIDS

Separated flow over blunt plates with different chord-to-thickness ratios: Unsteady behaviors and wall-pressure fluctuations

(2017) Qingshan Zhang et al.   EXPERIMENTAL THERMAL AND FLUID SCIENCE

Proper orthogonal decomposition-based spatial refinement of TR-PIV realizations using high-resolution non-TR-PIV measurements

(2017) Chuangxin He et al.   EXPERIMENTS IN FLUIDS

A survey of deep neural network architectures and their applications

(2017) Weibo Liu et al.   NEUROCOMPUTING

Data-assimilated computational fluid dynamics modeling of convection-diffusion-reaction problems

(2017) X. Gao et al.   Journal of Computational Science

A data assimilation methodology for reconstructing turbulent flows around aircraft

(2015) Hiroshi Kato et al.   JOURNAL OF COMPUTATIONAL PHYSICS

Modified ensemble Kalman filter for nuclear accident atmospheric dispersion: Prediction improved and source estimated

(2014) X.L. Zhang et al.   JOURNAL OF HAZARDOUS MATERIALS