104 citations
- Centre National de la Recherche ScientifiqueFR24 papers
- École Nationale Supérieure de Techniques AvancéesFR21 papers
- Commissariat à l'Énergie Atomique et aux Énergies AlternativesFR16 papers
- Université Paris-SaclayFR9 papers
- Harbin Institute of TechnologyCN7 papers
- Poznań University of TechnologyPL6 papers
- École Nationale Supérieure de Techniques Avancées ParisFR5 papers
- École PolytechniqueFR5 papers
- Laboratoire d'Informatique pour la Mécanique et les Sciences de l'IngénieurFR5 papers
- École nationale des ponts et chausséesFR4 papers
- Institut Polytechnique de ParisFR4 papers
- Laboratoire d'Hydrodynamique de l'École polytechniqueFR4 papers
8 papers · 1 filter
Cluster-based hierarchical network model of the fluidic pinball -- Cartographing transient and post-transient, multi-frequency, multi-attractor behaviour
Nan Deng, Bernd R. Noack, Marek Morzyński +1
We propose a self-supervised cluster-based hierarchical reduced-order modelling methodology to model and analyse the complex dynamics arising from a sequence of bifurcations for a…
A posteriori error estimates via equilibrated stress reconstructions for contact problems approximated by Nitsche's method
Daniele Antonio Di Pietro, Ilaria Fontana, Kyrylo Kazymyrenko
We present an a posteriori error estimate based on equilibrated stress reconstructions for the finite element approximation of a unilateral contact problem with weak enforcement of…
Model order reduction methods for geometrically nonlinear structures: a review of nonlinear techniques
Cyril Touzé, Alessandra Vizzaccaro, Olivier Thomas
This paper aims at reviewing nonlinear methods for model order reduction of structures with geometric nonlinearity, with a special emphasis on the techniques based on invariant man…
Route to Chaos in the Fluidic Pinball
Nan Deng, Luc R. Pastur, Marek Morzyński +1
The fluidic pinball has been recently proposed as an attractive and effective flow configuration for exploring machine learning fluid flow control. In this contribution, we focus o…
Low-dimensional Flow Models from high-dimensional Flow data with Machine Learning and First Principles
Nan Deng, Luc R. Pastur, Bernd R. Noack
Reduced-order modelling and system identification can help us figure out the elementary degrees of freedom and the underlying mechanisms from the high-dimensional and nonlinear dyn…
Dynamiques transitoires de sillage dans le pinball fluidique
Nan Deng, Luc R. Pastur, Bernd R. Noack Bernd R. +4
In this work, we are interested in the transient dynamics of a fluid configuration consisting of three fixed cylinders whose axes distribute over an equilateral triangle in transve…