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Now showing items 1-10 of 27
(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 ...
(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 ...
(Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2017)
Versatile instruments assembled from off-the-shelf sensors and open-source electronics are used to record wave propagation and damping measured by Inertial Motion Units (IMUs) in a grease ice slick near the shore in ...
(Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2016)
Observations of wave propagation in landfast ice were obtained in Tempelfjorden, Svalbard during March 2015. Wave motion was measured near the ice edge using inertial motion units and consisted of a combination of swell ...
(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 ...
(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 ...
(Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2020)
This paper focuses on the active flow control of a computational fluid dynamics simulation over a range of Reynolds numbers using deep reinforcement learning (DRL). More precisely, the proximal policy optimization (PPO) ...
(Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2021)
This study presents wave measurements in the Marginal Ice Zone (MIZ) obtained from ship mounted sensors. The system combines altimeter readings from the ship bow with ship motion correction data to provide estimated single ...
(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 ...
(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 ...