Experimental and numerical investigation of ventilated cavitating flow structures with special emphasis on vortex shedding dynamics

Z Wang, B Huang, M Zhang, G Wang - International Journal of …, 2018 - Elsevier
The objective of this paper is to investigate ventilated cavitating flow structures with special
emphasis on vortex shedding dynamics via combining experimental and numerical …

JAX-Fluids: A fully-differentiable high-order computational fluid dynamics solver for compressible two-phase flows

DA Bezgin, AB Buhendwa, NA Adams - Computer Physics Communications, 2023 - Elsevier
Physical systems are governed by partial differential equations (PDEs). The Navier-Stokes
equations describe fluid flows and are representative of nonlinear physical systems with …

Unsteady effects of strong shock-wave/boundary-layer interaction at high Reynolds number

V Pasquariello, S Hickel, NA Adams - Journal of Fluid Mechanics, 2017 - cambridge.org
We analyse the low-frequency dynamics of a high Reynolds number impinging shock-
wave/turbulent boundary-layer interaction (SWBLI) with strong mean-flow separation. The …

[HTML][HTML] Multi-component vapor-liquid equilibrium model for LES of high-pressure fuel injection and application to ECN Spray A

J Matheis, S Hickel - International Journal of Multiphase Flow, 2018 - Elsevier
We present and evaluate a two-phase model for Eulerian large-eddy simulations (LES) of
liquid-fuel injection and mixing at high pressure. The model is based on cubic equations of …

Large-eddy simulation of nitrogen injection at trans-and supercritical conditions

H Müller, CA Niedermeier, J Matheis, M Pfitzner… - Physics of …, 2016 - pubs.aip.org
Large-eddy simulations (LESs) of cryogenic nitrogen injection into a warm environment at
supercritical pressure are performed and real-gas thermodynamics models and subgrid …

[HTML][HTML] Data-driven deconvolution for large eddy simulations of Kraichnan turbulence

R Maulik, O San, A Rasheed, P Vedula - Physics of Fluids, 2018 - pubs.aip.org
In this article, we demonstrate the use of artificial neural networks as optimal maps which are
utilized for convolution and deconvolution of coarse-grained fields to account for sub-grid …

Sub-grid scale model classification and blending through deep learning

R Maulik, O San, JD Jacob, C Crick - Journal of Fluid Mechanics, 2019 - cambridge.org
In this article we detail the use of machine learning for spatio-temporally dynamic turbulence
model classification and hybridization for large eddy simulations (LES) of turbulence. Our …

Investigation of condensation shocks and re-entrant jet dynamics in a cavitating nozzle flow by Large-Eddy Simulation

T Trummler, SJ Schmidt, NA Adams - International Journal of Multiphase …, 2020 - Elsevier
Cloud cavitation is related to an intrinsic instability where clouds are shed periodically. The
shedding process is initiated either by the motion of a liquid re-entrant jet or a condensation …

On the use of kinetic energy preserving DG-schemes for large eddy simulation

D Flad, G Gassner - Journal of Computational Physics, 2017 - Elsevier
Recently, element based high order methods such as Discontinuous Galerkin (DG) methods
and the closely related flux reconstruction (FR) schemes have become popular for …

A very-high-order TENO scheme for all-speed gas dynamics and turbulence

L Fu - Computer Physics Communications, 2019 - Elsevier
In this paper, we propose a new scale-separation formula and develop a very-high-order
targeted ENO scheme, which shows exceptional performance in conventional compressible …