This paper focusses on three main numerical methods, ie, the Reynolds-Averaged Navier-
Stokes (RANS), Large Eddy Simulation (LES), and Direct Numerical Simulation (DNS) …

This work presents the GPU acceleration of the open-source code CaNS for very fast
massively-parallel simulations of canonical fluid flows. The distinct feature of the many-CPU …

We investigate a complex system involving multiple shapes to be optimized in a domain,
taking into account geometric constraints on the shapes and uncertainty appearing in the …

Utility of the computational power of Graphics Processing Units (GPUs) is elaborated for
solutions of incompressible Navier–Stokes equations which are integrated using a semi …

The flow of a viscous fluid in a plane channel is simulated numerically following the DNS
approach, and using a computational code for the numerical integration of the Navier-Stokes …

Due to its relevance in ocean engineering, the subject of the flow field generated by water
waves around a vertical circular cylinder piercing the free surface has recently started to be …

ABSTRACT A computational analysis of diffraction of water waves caused by large-diameter
circular cylinder piercing the free surface is performed. With reference to linear-wave cases …

This paper presents a scalable parallelization of an Eulerian–Lagrangian method, namely
the three-dimensional front tracking method, for simulating multiphase flows. Operating on …

In this study, a class of GPU-based corrected explicit-implicit domain decomposition
schemes (GCEIDD) is proposed to accelerate the solution of convection-dominated diffusion …

In the present study, an efficient GPU-based corrected explicit–implicit domain
decomposition scheme is proposed to accelerate fractional steps solvers. Implicit time …