Fluid Mechanics and Acoustics Laboratory - UMR 5509

LMFA - UMR 5509
Laboratoire de Mécanique des Fluides et d’Acoustique
Lyon
France


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Home > Teams > Turbulence & Instabilities

Turbulence & Instabilities

Head: Florence Raynal

The team activities, rather fundamental, deal with hydrodynamic instabilities, transition to turbulence, turbulent flows and flows at small scale.


 T&I news: 

Turbulence and turbulent pattern formation in a minimal model for active fluids

Article in Phys. Rev. Fluids (2018)

Turbulence and turbulent pattern formation in a minimal model for active fluids

Martin James, Wouter J. T. Bos, and Michael Wilczek

Active matter systems display a fascinating range of dynamical states, including stationary patterns and turbulent phases. While the former can be tackled with methods from the field of pattern (...)

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Advanced spectral anisotropic modelling for shear flows

Article in J. Turbul. (2018)

Advanced spectral anisotropic modelling for shear flows

Antoine Briard, T Gomez & Claude Cambon

In this work, the spectral modelling developed in MCS (Mons, Cambon, Sagaut. J Fluid Mech. 2016) for shear-driven turbulence is further analysed and then improved. First, using self-similarity (...)

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Instability of pressure-driven gas–liquid two-layer channel flows in two and three dimensions

Article in J. Fluid Mech. (2018)

Instability of pressure-driven gas–liquid two-layer channel flows in two and three dimensions

Lennon Ó Náraigh & Peter D. M. Spelt

We study unstable waves in gas–liquid two-layer channel flows driven by a pressure gradient, under stable stratification, not assumed to be set in motion impulsively. The basis of the study is (...)

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Comparison between a generalized Newtonian model and a network-type multiscale model for hemodynamic behavior in the aortic arch: Validation with 4D MRI data for a case study

Article in J. Biomechanics (2018)

Comparison between a generalized Newtonian model and a network-type multiscale model for hemodynamic behavior in the aortic arch: Validation with 4D MRI data for a case study

Marine Menut, Loïc Boussel, Xavier Escriva, Benyebka Bou-Saïd, Hélène Walter-Le Berre, Yann Marchesse, Antoine Millon, Nellie Della Schiava, Patrick Lermusiaux, John Tichy

Blood is a complex fluid in which the presence of the various constituents leads to significant changes in its rheological properties. Thus, an appropriate non-Newtonian model is advisable; and (...)

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A note on Stokes' problem in dense granular media using the $\mu(I)$-rheology

Article in J. Fluid Mech. (2018)

A note on Stokes’ problem in dense granular media using the $\mu(I)$-rheology

J. John Soundar Jerome & Bastien Di Pierro

The classical Stokes’ problem describing the fluid motion due to a steadily moving infinite wall is revisited in the context of dense granular flows of mono-dispersed beads using the recently (...)

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Advection and diffusion in a chemically induced compressible flow

Article in J. Fluid Mech. (2018)

Advection and diffusion in a chemically induced compressible flow

Florence Raynal, Mickaël Bourgoin, Cécile Cottin-Bizonne, Christophe Ybert & Romain Volk

We study analytically the joint dispersion of Gaussian patches of salt and colloids in linear flows, and how salt gradients accelerate or delay colloid spreading by diffusiophoretic effects. (...)

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Theories and applications of second-order correlation of longitudinal velocity increments at three points in isotropic turbulence

Article in Phys. Lett. A (2018)

Theories and applications of second-order correlation of longitudinal velocity increments at three points in isotropic turbulence

J.Z. Wu, L. Fang, L. Shao & L.P. Lu

In order to introduce new physics to traditional two-point correlations, we define the second-order correlation of longitudinal velocity increments at three points and obtain the analytical (...)

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On the role and value of $\beta$ in incompressible MHD simulations

Article in Phys. Plasmas (2018)

On the role and value of $\beta$ in incompressible MHD simulations

Robert Chahine & Wouter J. T. Bos

The parameter $\beta$, defined as the ratio of the pressure to the square of the magnetic field, is widely used to characterize astrophysical and fusion plasmas. However, in the dynamics of a (...)

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Computing return times or return periods with rare event algorithms

Article in J. Stat. Mech. (2018)

Computing return times or return periods with rare event algorithms

Thibault Lestang, Francesco Ragone, Charles-Edouard Bréhier, Corentin Herbert & Freddy Bouchet

The average time between two occurrences of the same event, referred to as its return time (or return period), is a useful statistical concept for practical applications. For instance insurances (...)

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Collision rate of ice crystals with water droplets in turbulent flows

Article in J. Fluid Mech. (2018)

Collision rate of ice crystals with water droplets in turbulent flows

Aurore Naso, Jennifer Jucha, Emmanuel Lévêque & Alain Pumir

Riming, the process whereby ice crystals get coated by impacting supercooled liquid droplets, is one of the dominant processes leading to precipitation in mixed-phase clouds. How a settling (...)

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