The emerging push of the differentiable programming paradigm in scientific computing is conducive to training deep learning turbulence models using indirect observations. This paper demonstrates viability this approach and presents an end-to-end framework for neural networks learn eddy viscosity from observations derived velocity pressure fields. consists a Reynolds-averaged Navier–Stokes (RANS...

This paper focusses on three main numerical methods, i.e., the Reynolds-Averaged Navier-Stokes (RANS), Large Eddy Simulation (LES), and Direct Numerical (DNS) methods. The formulation variation of different RANS methods are evaluated. advantage disadvantage models to characterize turbulent flows discussed. progress LES with subgrid scale is presented. Special attention paid inflow boundary cond...

In this paper, a numerical assessment of the effect shallow water on total resistance solar catamaran SolarCat is carried out using computational fluid dynamics within software package STAR–CCM+. The unsteady viscous flow was modelled based Reynolds-averaged Navier–Stokes (RANS) equations with application k−ω SST (k−ω Shear Stress Transport) turbulence model. RANS were discretized by finite vol...

Stern wave flow phenomena are investigated in a full-scale Kriso container ship. The hull roughness effects studied with and without propulsion. Reynolds-averaged Navier–Stokes (RANS) detached eddy simulations (DES) utilized the ghost-fluid method (GFM). DES is carried out submodel where stationary RANS solution used as boundary condition. surface effect on stern significant due to increased la...

Simulations of compressible boundary layer flow at three different Reynolds numbers (Reδ = 5.59×10, 1.78×10, and 1.58×10) are performed using a hybrid large-eddy/Reynoldsaveraged Navier-Stokes method. Variations in the recycling/rescaling method, the higherorder extension, the choice of primitive variables, the RANS/LES transition parameters, and the mesh resolution are considered in order to a...

Abstract The paper focuses on implementing the wall model developed by Manhart, in Reynolds Averaged Navier - Stokes (RANS) turbulence models used field of Computational Fluid Dynamics (CFD). This considers influence streamwise pressure gradient addition to existing usual CFD codes. In present work, two RANS numerical simulations are carried out using k-ω Shear Stress Transport (SST) an asymmet...

This review paper presents the recent advances in numerical modelling of wave–structure–seabed interactions. The processes that are involved wave–structure interactions, which leads to sediment transport and scour effects, summarized. Subsequently, three most common approaches for is induced by interactions described. applicability each approach also included with a summary studies. These based...

Nowadays there are wide possibilities to perform numerical studies of turbulent natural convection flows on the base of 3D unsteady formulations [1]. Direct Numerical Simulation (DNS) is the most attractive and reliable approach for getting a detailed knowledge on convection [2, 3]. However, DNS applications are practically limited by the case of simplified geometry and/or the Rayleigh numbers ...

Numerical simulations of complex large-scale flow systems must capture a variety of physical phenomena in order to predict the flow accurately. Currently, many flow solvers are specialized to simulate one part of a flow system effectively, but are either inadequate or too expensive to be applied to a generic problem. As an example, the flow through a gas turbine can be considered. In the compre...

The helical flow leads to the redistribution of bed shear stress and roughness coefficient in open-channel bends, influencing transport sediment riverbed evolution process. To explore mechanisms underlying this redistribution, a 3D numerical simulation 180° sharp bend was performed by solving Reynolds-averaged Navier–Stokes (RANS) equations using Reynolds equation model (RSM) as anisotropic tur...