activity
20172020
most citedAn efficient algorithm to compute the genus of discrete surfaces and applications to turbulent flows

15 citations · 15 across the 2 of their papers we have counts for

collaborators

7 papers

physics.flu-dyn2020

Cause-and-effect of linear mechanisms sustaining wall turbulence

Adrián Lozano-Durán, Navid C. Constantinou, Marios-Andreas Nikolaidis +1

Despite the nonlinear nature of turbulence, there is evidence that part of the energy-transfer mechanisms sustaining wall turbulence can be ascribed to linear processes. The differ…

physics.flu-dyn2019

Alternative physics to understand wall turbulence: Navier-Stokes equations with modified linear dynamics

Adrán Lozano-Durán, Marios-Andreas Nikolaidis, Navid C. Constantinou +1

Despite the nonlinear nature of wall turbulence, there is evidence that the energy-injection mechanisms sustaining wall turbulence can be ascribed to linear processes. The differen…

physics.flu-dyn2019

Effect of a weak current on wind-generated waves in the wrinkle regime

C. Nove-Josserand, S. Perrard, A. Lozano-Duran +3

We investigate numerically the influence of a weak current on wind-generated surface deformations for wind velocity below the onset of regular waves. In that regime, the liquid sur…

physics.flu-dyn2019

Non-equilibrium three-dimensional boundary layers at moderate Reynolds numbers

Adrián Lozano-Durán, Marco Giometto, George I. Park +1

Non-equilibrium wall turbulence with mean-flow three-dimensionality is ubiquitous in geophysical and engineering flows. Under these conditions, turbulence may experience a counter-…

physics.comp-ph2019

DNS-aided explicitly filtered LES

H. Jane Bae, Adrián Lozano-Durán

The equations for LES are formally derived by low-pass filtering the NS equations with the effect of the small scales on the larger ones captured by a SGS model. However, it is kno…

physics.flu-dyn2019

Resolvent-based estimation of space-time flow statistics

Aaron Towne, Adrian Lozano-Duran, Xiang Yang

We develop a method to estimate space-time flow statistics from a limited set of known data. While previous work has focused on modeling spatial or temporal statistics independentl…