Annonces

We are pleased to announce our two-week fall school "Bridges over turbulent matters: Navigating across observations, concepts and models", to be held in Cargèse (Corse, France) from October 21 to 31, 2025.To apply, please visit the school website: https://turbazur.github.io/cargese2025/

Colloque en hommage à Laurent Jacquin, organisé du 10 au 12 septembre 2025 au pôle de mécanique de l'école polytechnique à Palaiseau.

Multiphase flows are common in nature and engineering. Atmospheric flows often involve the dispersion of droplets or solid particulate matter (dust, sand, ice crystals in clouds); marine systems are populated by plankton, sediments or microplastics. Industrial applications of disperse flows include particle separators,filtration systems, atomisers and combustion devices, spray dryers, bubble columns; interfacial and free-surface flows are widespread in chemical and process industry.

Going back to Kolmogorov, there has been the paradigm in the more fundamental turbulence community of one universal state of homogeneous isotropic turbulence. In the last 15 years or so it has become more and more clear that this is not the case and that there can be several different states of turbulence, with transitions between these states. The transitions between the different states normally are of subcritical nature, just as the transition from laminar pipe or channel flow to turbulent pipe of channel flow. There, the origin of the subcritical nature is the nonnormality of the operator, combined with the nonlinearity of the Navier-Stokes equation. The nonnormality is intimately related to the local shear of the flow. All this also holds for turbulent flow, where one locally also has strong shear.

Création de la Division Physique Non Linéaire (DPNL) de la Société Française de Physique (SFP)

Cet ouvrage présente les bases de la turbulence aux chercheurs en écologie marine, et les couplages de l’écologie marine avec la turbulence, aux chercheurs en turbulence provenant d’autres disciplines. Il s’adresse aux doctorants, jeunes chercheurs et chercheurs confirmés intéressés par ces deux sujets et leurs interactions.

The Leeds Institute for Fluid Dynamics is delighted to partner with the Department of Applied Mathematics and Theoretical Physics at the University of Cambridge, the UK Fluids Network, and the Journal of Fluid Mechanics to deliver a regular webinar series on fluids-related topics.

L’objectif de ce post-doctorat est de caractériser expérimentalement les bosses de bruit d’ingestion de turbulence en soufflerie et en canal hydraulique dans des configurations maritimes simplifiées (sous-marin ou bateau de surface), afin de déterminer les paramètres qui influent sur l’apparition des bosses et leur caractéristique.

We are currently recruiting for a 3-year postdoctoral position in Theoretical and Numerical Fluid Mechanics to join the Thermofluids group at the University of Sheffield.The application deadline is 25th July, and the position is open to candidates of any nationality.The project focuses on turbulence relaminarisation in pipe flow, using dynamical-systems approaches, DNS, optimisation, and data-driven methods.

The work consists of performing direct numerical simulations (DNS) in a highly stratified turbulence regime in order to study the interactions between large structures, gravity waves, and eddies. The objective is to extract and analyze these components and their interactions using methods developed by the research group. The results will help the theoretical team in Rouen to develop analytical equations describing different moments of order, covering energy, cascade directions, and extreme fluctuations.

Fully funded by the French ANR Young Researcher project called SONATE, the aim of the thesis is to understand the aerodynamics, performance and losses of a wind farm at different scales and under inlet flows that correspond to realistic conditions of a real wind farm. The PhD student will carry out large-scale experiments in the atmospheric section of the PRISME wind tunnel, using various measurement tools (pressure, hot-wire, PIV). From these measurements, the project will focus on building representative physics-based reduced-order models, capable of predicting the performance of the wind farms with different inputs depending on the flow conditions (yaw, turbulence, angular momentum added by the blades, etc.).Supervisors: Dr. Cédric Raibaudo (advisor, grant recipient), Pr. Nicolas Mazellier (thesis director)

An experimental project about the generation and characterisation of an atmospheric boundary layer aiming to study the stability of drones within it.

This project is a postdoctoral proposal in the stochastic physics of turbulence aiming to analyze stylized models of multifractal transport and to assess their relevance for turbulent transport.

Fluid-structure interactions (FSI) in a nuclear reactor core involve thermalhydraulics mechanisms at different scales. FSI simulations at the local (CFD) scale are feasible only for reduced domains. Such domains must however be representative of the actual core conditions. A multi-scale approach is therefore required to understand how to consistently simulate the core thermalhydraulics and the related FSI phenomena.

The Laboratory of Fluid Mechanics and Acoustics (LMFA) is seeking a highly qualified postdoctoral researcher to contribute to the development of dynamic calibration and optimization strategies for subgrid-scale turbulence modeling within the framework of LB simulations of engineering flows.

En tentant de tirer profit du coût mesuré des approches RANS et des qualités prédictives des approches LES, les approches hybrides RANS/LES présentent un intérêt fort pour de nombreuses applications mais continuent à se heurter au problème de la gestion des zones de transition. En l’absence d’instabilité hydrodynamique naturellement présente dans le domaine de calcul ou lorsque celle-ci n’est pas suffisamment résolue, la qualité des prévisions LES dépend ainsi en grande partie des fluctuations prescrites dans la zone de transition. L’objectif du post-doctorat proposé en collaboration avec le CEMEF est de développer une méthode d’apprentissage automatique de génération de fluctuations pour les zones de recouvrement RANS/LES. Deux axes ont été identifiés visant à réduire l’étendue des zones grises ; le premier concerne spécifiquement la qualité du signal synthétique généré alors que le deuxième axe s’attache aux paramètres de contrôle d’une méthode de forçage.

The wind turbine production in a floating wind farm depends essentially on its position, the wind and the state of the sea. The influence of the state of the sea, in particular, is poorly known, because it has not been an influential factor in the development of installed wind farms. First of all, the influence of the movement of the platform directly affects the production capacity of the wind turbine. But beyond that, it induces significant modifications to the wake, and in the context of commercial farms, where the turbines are not widely spaced, leads to interactions between turbines which are still unknown. As Numerical simulations are very expensive, from numerical simulation and historical data, the environmental conditions can be modeled by stochastic models which are faster to simulate. hus, by combining these stochastic models with the physical model, it is possible to evaluate the uncertainty relating to the key parameters (extractable energy, wake topology).

https://rejoindre.onera.fr/detail-poste?nPostingId=1327&nPostingTargetId=5036&id=P6VFK026203F3VBQB68LOF6Z3&LG=FR⟨uageSelect=FR