activity
20162026
most citedThe influence of near-wall density and viscosity gradients on turbulence in channel flows

135 citations · 196 across the 8 of their papers we have counts for

collaborators

9 papers

math.NA2026

Generalized Tadmor Conditions and Structure-Preserving Numerical Fluxes for the Compressible Flow of Real Gases

Robin Klein, Benjamin Sanderse, Pedro Costa +2

We generalize Tadmor's algebraic numerical flux condition for entropy-conservative discretizations of conservation laws to a broader class of secondary structures, i.e. possibly no…

physics.flu-dyn2023

Estimating mean profiles and fluxes in high-speed turbulent boundary layers using inner/outer-layer transformations

Asif Manzoor Hasan, Johan Larsson, Sergio Pirozzoli +1

Accurately predicting drag and heat transfer for compressible high-speed flows is of utmost importance for a range of engineering applications. This requires the precise knowledge…

physics.flu-dyn2023

Incorporating intrinsic compressibility effects in velocity transformations for wall-bounded turbulent flows

Asif Manzoor Hasan, Johan Larsson, Sergio Pirozzoli +1

A transformation that relates a compressible wall-bounded turbulent flow with non-uniform fluid properties to an equivalent incompressible flow with uniform fluid properties is der…

physics.flu-dyn2023

The steady behavior of the supercritical carbon dioxide natural circulation loop

Marko Draskic, Benjamin Bugeat, Rene Pecnik

The steady state behavior of thermodynamically supercritical natural circulation loops (NCLs) is investigated in this work. Experimental steady state results with supercritical car…

physics.flu-dyn2022

Instability in strongly stratified plane Couette flow with application to supercritical fluids

B. Bugeat, P. C. Boldini, A. M. Hasan +1

This paper addresses the stability of plane Couette flow in the presence of strong density and viscosity stratifications. It demonstrates the existence of a generalised inflection…

physics.flu-dyn2022★ 2 cited

Machine Learning for RANS Turbulence Modelling of Variable Property Flows

Rafael Diez Sanhueza, Stephan Smit, Jurriaan Peeters +1

This paper presents a machine learning methodology to improve the predictions of traditional RANS turbulence models in channel flows subject to strong variations in their thermophy…

cs.CE2018★ 18 cited

A fast GPU Monte Carlo Radiative Heat Transfer Implementation for Coupling with Direct Numerical Simulation

Simone Silvestri, Rene Pecnik

We implemented a fast Reciprocal Monte Carlo algorithm, to accurately solve radiative heat transfer in turbulent flows of non-grey participating media that can be coupled to fully…

physics.flu-dyn2018★ 41 cited

Linear instability of Poiseuille flows with highly non-ideal fluids

Jie Ren, Song Fu, Rene Pecnik

The objective of this work is to investigate linear modal and algebraic instability in Poiseuille flows with fluids close to their vapour-liquid critical point. Close to this criti…

physics.flu-dyn2016★ 135 cited

The influence of near-wall density and viscosity gradients on turbulence in channel flows

Ashish Patel, Bendiks Jan Boersma, Rene Pecnik

The influence of near-wall density and viscosity gradients on near-wall turbulence in a channel are studied by means of Direct Numerical Simulation (DNS) of the low-Mach number app…