Current approaches to Direct Numerical Simulation (DNS) are computationally quite expensive for most realistic scientific and engineering applications of Fluid Dynamics such as automobiles or atmospheric flows. The Lattice Boltzmann Method (LBM), with its simplified kinetic descriptions, has emerged as an important tool for simulating hydrodynamics. In a heterogeneous computing environment, it ...

The phenomenon of birth and development of hairpin vortices in the wall region of turbulent channel flow is investigated numerically. The system of the Navier-Stokes equations is integrated by using a mixed spectral-finite difference numerical technique following the procedure of the Direct Numerical Simulation of turbulence (DNS), with accuracy requirements such that all the essential turbulen...

One of the most interesting passive drag reduction techniques is based on use riblets or streamwise grooved surfaces. Detailed flow features inside grooves can be numerically detected only by Direct Numerical Simulations (DNS), still unfeasible for high Reynolds numbers and complex flows. Many papers report DNS flows microgrooved surfaces providing fundamental details devices, but all are limit...

The governing equations and numerical solution strategy to solve porohyperelastic problems as multiscale multiphysics media are provided in this contribution. problem starts from formulating non-dimensionalising a Fluid-Solid Interaction (FSI) using Arbitrary Lagrangian-Eulerian (ALE) technique at the pore level. resultant ALE-FSI coupled systems of PDEs expanded analysed asymptotic homogenisat...

High-order methods are critical for reliable numerical simulation of strong-shock and turbulence interaction problems. Such problems are not well understood due to limitations of numerical methods. Most widely used shock capturing methods for the numerical simulation of compressible flows are inherently dissipative, only first order accurate and may incur numerical oscillations near the shock w...

We revisit the grid-point requirement estimates in Choi and Moin [“Grid-point requirements for large eddy simulation: Chapman’s revisited,” Phys. Fluids 24, 011702 (2012)] establish more general direct numerical simulations (DNS) large-eddy (LES) of a spatially developing turbulent boundary layer. show that by allowing local grid spacing to scale with Kolmogorov length scale, DNS layer is N?ReL...

The projects proposed here are combined computational and experimental studies of three new problems of solid-liquid flows. The first problem is to obtain explicit formulas for the lift on particles in shear flows of pure fluids and slurries by correlating data from direct numerical simulation (DNS). The numerical studies to be undertaken look to the development of methods for interrogating the...

Recent attempts to use deep learning for super-resolution reconstruction of turbulent flows have used supervised learning, which requires paired data training. This limitation hinders more practical applications reconstruction. Therefore, we present an unsupervised model that adopts a cycle-consistent generative adversarial network can be trained with unpaired turbulence Our is validated using ...

Abstract Flow between rotating concentric cylinders, or the Taylor Couette flow, has been studied extensively because of its rich physics, ranging from axisymmetric steady laminar to fully developed turbulent flow. In present study, we advocate use this problem as a benchmark case for scale-resolving simulation, such large eddy simulation (LES) and direct numerical (DNS). The is attractive simp...