Browsing Matematisk institutt by Author "Rabault, Jean"

Now showing items 1-20 of 32

  • A dataset of direct observations of sea ice drift and waves in ice 
    Rabault, Jean; Müller, Malte; Voermans, Joey; Brazhnikov, Dmitry; Turnbull, Ian; Marchenko, Aleksey; Biuw, Martin; Nose, Takehiko; Waseda, Takuji; Johansson, Malin; Breivik, Øyvind; Sutherland, Graig; Hole, Lars Robert; Johnson, Mark; Jensen, Atle; Gundersen, Olav; Kristoffersen, Yngve; Babanin, Alexander; Tedesco, Paulina Souza; Christensen, Kai Håkon; Kristiansen, Martin; Hope, Gaute; Kodaira, Tsubasa; Martins de Aguiar, Victor Cesar; Taelman, Catherine Cecilia A; Quigley, Cornelius Patrick; Filchuk, Kirill; Mahoney, Andrew R. (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2023)
    Variability in sea ice conditions, combined with strong couplings to the atmosphere and the ocean, lead to a broad range of complex sea ice dynamics. More in-situ measurements are needed to better identify the phenomena ...
  • A review on deep reinforcement learning for fluid mechanics 
    Garnier, Paul; Viquerat, Jonathan; Rabault, Jean; Larcher, Aurelien; Kuhnle, Alexander; Hachem, Elie (Journal article / Tidsskriftartikkel / AcceptedVersion; Peer reviewed, 2021)
    Deep reinforcement learning (DRL) has recently been adopted in a wide range of physics and engineering domains for its ability to solve decision-making problems that were previously out of reach due to a combination of ...
  • A two layer model for wave dissipation in sea ice 
    Sutherland, Graig J.; Rabault, Jean; Christensen, Kai Håkon; Jensen, Atle (Journal article / Tidsskriftartikkel / AcceptedVersion; Peer reviewed, 2019)
    Sea ice is highly complex due to the inhomogeneity of the physical properties (e.g. temperature and salinity) as well as the permeability and mixture of water and a matrix of sea ice and/or sea ice crystals. Such complexity ...
  • Accelerating deep reinforcement learning strategies of flow control through a multi-environment approach 
    Rabault, Jean; Kuhnle, Alexander (Journal article / Tidsskriftartikkel / AcceptedVersion; Peer reviewed, 2019)
    Deep Reinforcement Learning (DRL) has recently been proposed as a methodology to discover complex active flow control strategies [Rabault et al., “Artificial neural networks trained through deep reinforcement learning ...
  • An investigation into the interaction between waves and ice 
    Rabault, Jean (Doctoral thesis / Doktoravhandling, 2018)
    The polar regions are the focus of increased attention due to a combination of environmental, political and economic reasons. In order to help support human activities in the arctic and monitor the state of the ecosystem, ...
  • An investigation into the turbulence induced by moving ice floes 
    Løken, Trygve Kvåle; Marchenko, Aleksey; Ellevold, Thea Josefine; Rabault, Jean; Jensen, Atle (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2021)
  • Applying deep reinforcement learning to active flow control in weakly turbulent conditions 
    Ren, Feng; Rabault, Jean; Tang, Hui (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2021)
    Machine learning has recently become a promising technique in fluid mechanics, especially for active flow control (AFC) applications. A recent work [Rabault et al., J. Fluid Mech. 865, 281–302 (2019)] has demonstrated the ...
  • Artificial neural networks trained through deep reinforcement learning discover control strategies for active flow control 
    Rabault, Jean; Kuchta, Miroslav; Jensen, Atle; Reglade, Ulysse; Cerardi, Nicolas (Journal article / Tidsskriftartikkel / AcceptedVersion; Peer reviewed, 2019)
    We present the first application of an Artificial Neural Network trained through a Deep Reinforcement Learning agent to perform active flow control. It is shown that, in a 2D simulation of the Kármán vortex street at ...
  • The attenuation of monochromatic surface waves due to the presence of an inextensible cover 
    Sutherland, Graigory John; Halsne, Trygve; Rabault, Jean; Jensen, Atle (Journal article / Tidsskriftartikkel / SubmittedVersion, 2017)
    The attenuation of surface gravity waves is an important process associated with air–sea and wave–current interactions. Here we investigate experimentally the attenuation of monochromatic surface gravity waves due to the ...
  • Bringing optical fluid motion analysis to the field: A methodology using an open source ROV as a camera system and rising bubbles as tracers 
    Løken, Trygve Kvåle; Ellevold, Thea Josefine; Ramirez de La Torre, Reyna Guadalupe; Rabault, Jean; Jensen, Atle (Journal article / Tidsskriftartikkel / AcceptedVersion; Peer reviewed, 2021)
    Detailed water kinematics are important for understanding atmosphere–ice–ocean energy transfer processes in the Arctic. There are few in situ observations of 2D velocity fields in the marginal ice zone. Particle tracking ...
  • Curving to fly: Synthetic adaptation unveils optimal flight performance of whirling fruits 
    Rabault, Jean; Fauli, Richard Andre; Carlson, Andreas (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2019)
    Appendages of seeds, fruits and other diaspores (dispersal units) are essential for their wind dispersal, as they act as wings and enable them to fly. Whirling fruits generate an auto-gyrating motion from their sepals, a ...
  • DIRECT SHAPE OPTIMIZATION THROUGH DEEP REINFORCEMENT LEARNING 
    Viquerat, Jonathan; Rabault, Jean; Kuhnle, Alexander; Ghraieb, Hassan; Larcher, Aurelien; Hachem, Elie (Journal article / Tidsskriftartikkel / AcceptedVersion; Peer reviewed, 2021)
    Deep Reinforcement Learning (DRL) has recently spread into a range of domains within physics and engineering, with multiple remarkable achievements. Still, much remains to be explored before the capabilities of these methods ...
  • Effect of wing fold angles on the terminal descent velocity of double-winged autorotating seeds, fruits, and other diaspores 
    Fauli, Richard Andre; Rabault, Jean; Carlson, Andreas (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2019)
    Wind dispersal of seeds is an essential mechanism for plants to proliferate and to invade new territories. In this paper we present a methodology used in our recent work [Rabault, Fauli, and Carlson, Phys. Rev. Lett. 122, ...
  • Effective control of two-dimensional Rayleigh-Bénard convection: Invariant multi-agent reinforcement learning is all you need 
    Vignon, Colin; Rabault, Jean; Vasanth, Joel; Alcántara-Ávila, Francisco; Mortensen, Mikael; Vinuesa, Ricardo (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2023)
    Rayleigh–Bénard convection (RBC) is a recurrent phenomenon in a number of industrial and geoscience flows and a well-studied system from a fundamental fluid-mechanics viewpoint. In the present work, we conduct numerical ...
  • Estimating a mean transport velocity in the marginal ice zone using ice-ocean prediction systems 
    Sutherland, Graig; Martins de Aguiar, Victor Cesar; Hole, Lars Robert; Rabault, Jean; Dabboor, Mohammed; Breivik, Øyvind (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2022)
    Abstract. Understanding the transport of objects and material in the marginal ice zone (MIZ) is critical for human operations in polar regions. This can be the transport of pollutants, such as spilled oil, or the transport ...
  • Experimental evidence for a universal threshold characterizingwave-induced sea ice break-up 
    Voermans, Joey; Rabault, Jean; Filchuk, Kirill V.; Ryzhov, Ivan; Heil, Petra; Marchenko, Aleksey; Collins, Clarence O.; dabboor, mohammed; Sutherland, Graig J.; Babanin, Alexander V. (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2020)
    Waves can drastically transform a sea ice cover by inducing break-up over vast distances in the course of a few hours. However, relatively few detailed studies have described this phenomenon in a quantitative manner, and ...
  • Experiments on turbulence from colliding ice floes 
    Løken, Trygve Kvåle; Marchenko, Aleksey; Ellevold, Thea Josefine; Rabault, Jean; Jensen, Atle (Journal article / Tidsskriftartikkel / AcceptedVersion; Peer reviewed, 2022)
    Increased knowledge about energy dissipation processes around colliding ice floes is important for improved understanding of atmosphere-ice-ocean energy transfer, wave propagation through sea ice, and the polar climates. ...
  • Experiments on wave propagation in grease ice: combined wave gauges and particle image velocimetry measurements 
    Rabault, Jean; Sutherland, Graig J.; Jensen, Atle; Christensen, Kai Håkon; Marchenko, Aleksey (Journal article / Tidsskriftartikkel / AcceptedVersion; Peer reviewed, 2019)
    Water wave attenuation by grease ice is a key mechanism for the polar regions, as waves in ice influence many phenomena such as ice drift, ice breaking and ice formation. However, the models presented so far in the literature ...
  • Exploiting locality and translational invariance to design effective deep reinforcement learning control of the 1-dimensional unstable falling liquid film 
    Belus, Vincent; Rabault, Jean; Viquerat, Jonathan; Che, Zhizhao; Hachem, Elie; Reglade, Ulysse (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2019)
    Instabilities arise in a number of flow configurations. One such manifestation is the development of interfacial waves in multiphase flows, such as those observed in the falling liquid film problem. Controlling the development ...
  • Field observations and preliminary investigations of a wave event in solid drift ice in the barents sea 
    Marchenko, Aleksey; Rabault, Jean; Sutherland, Graig; Collins, Clarence O.; Wadhams, Peter; Chumakov, Mikhail (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2017)
    Waves propagating below drift ice were observed in the North-West Barents Sea. In-situ measurements of ice and water characteristics were performed with the equipment deployed on the ice and in the water below the ice ...