572 citations · 2.1k across the 54 of their papers we have counts for
6 papers · 1 filter
Grid turbulence measurements with an acoustic Doppler current profiler
Trygve. K. Løken, David Roger Lande-Sudall, Atle Jensen +1
The motivation for this study is to investigate the abilities and limitations of a Nortek Signature1000 acoustic Doppler current profiler (ADCP) regarding fine-scale turbulence mea…
Turbulent kinetic energy dissipation from colliding ice floes
Trygve K. Løken, Aleksey Marchenko, Thea J. Ellevold +2
Increased knowledge about wave attenuation processes in sea ice, and hence atmosphere-wave-ice-ocean energy transfer, is necessary to improve sea ice dynamics models used for clima…
A review on deep reinforcement learning for fluid mechanics: an update
Jonathan Viquerat, Philippe Meliga, Elie Hachem
In the past couple of years, the interest of the fluid mechanics community for deep reinforcement learning (DRL) techniques has increased at fast pace, leading to a growing bibliog…
An application of data driven reward of deep reinforcement learning by dynamic mode decomposition in active flow control
Sheng Qin, Shuyue Wang, Jean Rabault +1
This paper focuses on the active flow control (AFC) of the flow over a circular cylinder with synthetic jets through deep reinforcement learning (DRL) by implementing a reward func…
Iceberg stability during towing in a wave field
Trygve K. Løken, Aleksey Marchenko, Jean Rabault +2
Due to their large mass and small aspect ratio, icebergs pose a threat to boats and offshore structures. Small icebergs and bergy bits can cause harm to platform hulls and are more…
An investigation into the turbulence induced by moving ice floes
Trygve K. Løken, Aleksey Marchenko, Thea J. Ellevold +2
Several phenomena are known to attenuate waves in the marginal ice zone, such as wave scattering due to ice floes, viscous dissipation inside the ice and energy dissipation caused…