Turbulence is a complicated phenomenon because of its chaotic behavior with multiple spatiotemporal scales. also has irregularity and diffusivity, making predicting reconstructing turbulence more challenging. This study proposes deep-learning approach to reconstruct three-dimensional (3D) high-resolution turbulent flows from spatially limited data using 3D enhanced super-resolution generative a...

Capabilities for turbulence calculations of the Lagrangian averaged Navier–Stokes ~LANS-a! equations are investigated in decaying and statistically stationary three-dimensional homogeneous and isotropic turbulence. Results of the LANS-a computations are analyzed by comparison with direct numerical simulation ~DNS! data and large eddy simulations. Two different decaying turbulence cases at moder...

The accurate prediction of particle transport is a primary safety issue. Tracking particles in Lagrangian fashion can naturally be performed with CFD tools which provide the right framework to follow the paths of particles in complex geometries. The presence of turbulent structures in the fluid complicates the particle tracking problem considerably, because particle trajectories are no longer d...

We investigate the large-scale signature of random switches between two mirrored turbulent wake states flat-backed bodies. A direct numerical simulation (DNS) flow around an Ahmed body at a Reynolds number ( $Re$ ) 10 000 is considered. Using proper orthogonal decomposition (POD), we identify most energetic modes velocity field and build low-dimensional model based on first six fluctuating capt...

This paper describes a systematic method of refining a computational grid for the Direct Numerical Simulation (DNS) of flow about a square cylinder. The grid refinement method involves two stages. The first stage constructs computational meshes based on reasonable estimates of cell size and grid stretching ratios and investigates the sensitivity of the computed flow field to these parameters. T...

Drag force acting on a particle is vital for the accurate simulation of turbulent multiphase flows, but robust drag model still an open issue. Fully resolved direct numerical (DNS) with immersed boundary method performed to investigate saltating particles in wall turbulence over sediment bed. Results show that, particles, along trajectories cannot be estimated accurately by traditional models o...

Acoustic receptivity of a two-dimensional boundary layer on a flat plate with elliptic leading edge is studied through direct numerical simulation (DNS). Sound waves are modelled by a uniform oscillation of freestream boundaries in time which results to an infinite-wavelength acoustic wave. Acoustic disturbances interact with strong streamwise gradients at the leading edge or surface nonhomogen...

The deepening of a shear-driven turbulent layer penetrating into a stably stratified quiescent layer is studied using direct numerical simulation (DNS). The simulation design mimics the classical laboratory experiments by Kato & Phillips (J. Fluid Mech., vol. 37, 1969, pp. 643–655) in that it starts with linear stratification and applies a constant shear stress at the lower boundary, but avoids...

The fluid dynamical properties of the air flow in the upper airway (UA) are not fully understood at present due to the three-dimensional (3D) patient-specific complex geometry of the airway, flow transition from laminar to turbulent and flow-structure interaction during the breathing cycle. It is quite difficult at present to experimentally measure the instantaneous velocity and pressure at spe...