Dynamics Of Floating Ice (completed)

• Løken, Trygve Kvåle; Lande-Sudall, David Roger; Jensen, Atle & Rabault, Jean (2024). Grid Turbulence Measurements with an Acoustic Doppler Current Profiler. Fluids. ISSN 2311-5521. 9(3), p. 1–14. doi: 10.3390/fluids9030060. Full text in Research Archive Show summary

  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 measurements. Current profilers offer the advantage of gaining more coherent measurement data than available with point acoustic measurements, and it is desirable to exploit this property in laboratory and field applications. The ADCP was tested in a towing tank, where turbulence was generated from a grid towed under controlled conditions. Grid-induced turbulence is a well-studied phenomenon and a good approximation for isotropic turbulence. Several previous experiments are available for comparison and there are developed theories within the topic. In the present experiments, a Nortek Vectrino acoustic Doppler velocimeter (ADV), which is an established instrument for turbulence measurements, was applied to validate the ADCP. It was found that the mean flow measured with the ADCP was accurate within 4% of the ADV. The turbulent variance was reasonably well resolved by the ADCP when large grid bars were towed at a high speed, but largely overestimated for lower towing speed and smaller grid bars. The effective cutoff frequency and turbulent eddy size were characterized experimentally, which provides detailed guidelines for when the ADCP data can be trusted and will allow future experimentalists to decide a priori if the Nortek Signature can be used in their setup. We conclude that the ADCP is not suitable for resolving turbulent spectra in a small-scale grid-induced flow due to the intrinsic Doppler noise and the low spatial and temporal sample resolution relative to the turbulent scales.

• Rabault, Jean; Müller, Malte; Voermans, Joey; Brazhnikov, Dmitry; Turnbull, Ian & Marchenko, Aleksey [Show all 28 contributors for this article] (2023). A dataset of direct observations of sea ice drift and waves in ice. Scientific Data. ISSN 2052-4463. 10. doi: 10.1038/s41597-023-02160-9. Full text in Research Archive Show summary

  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 and mechanisms that govern sea ice growth, drift, and breakup. To this end, we have gathered a dataset of in-situ observations of sea ice drift and waves in ice. A total of 15 deployments were performed over a period of 5 years in both the Arctic and Antarctic, involving 72 instruments. These provide both GPS drift tracks, and measurements of waves in ice. The data can, in turn, be used for tuning sea ice drift models, investigating waves damping by sea ice, and helping calibrate other sea ice measurement techniques, such as satellite based observations.

• Weber, Jan Erik H.; Whitchelo, Yiyi; Pirolt, Jon Alexander; Christensen, Kai Håkon; Rabault, Jean & Jensen, Atle (2023). Observations of transient wave-induced mean drift profiles caused by virtual wave stresses in a two-layer system. Journal of Fluid Mechanics. ISSN 0022-1120. 975( A12). doi: 10.1017/jfm.2023.864. Full text in Research Archive
• Christensen, Kai Håkon & Weber, Jan Erik H. (2023). Application of a Robin boundary condition to surface waves. Frontiers in Marine Science. ISSN 2296-7745. 10. doi: 10.3389/fmars.2023.1129643. Full text in Research Archive
• Marchenko, Aleksey (2022). Influence of anisotropic rheology on wave processes in sea ice. Theoretical and mathematical physics. ISSN 0040-5779. 211(2), p. 665–678. doi: 10.1134/S0040577922050075.
• Marchenko, Aleksey (2022). Modeling of Thermodynamic Consolidation of Sea Ice Ridges Drifting in the Water with Changing Temperature. Journal of Marine Science and Engineering (JMSE). ISSN 2077-1312. 10(12). doi: 10.3390/jmse10121858.
• Weber, Jan Erik H. (2022). A note on the temporal and spatial attenuation of ocean waves. Ocean Modelling. ISSN 1463-5003. 175. doi: 10.1016/j.ocemod.2022.102027. Full text in Research Archive
• Weber, Jan Erik H. (2022). On the coupling between surface waves and the motion in a flexible porous surface layer. Ocean Modelling. ISSN 1463-5003. 174. doi: 10.1016/j.ocemod.2022.102013. Full text in Research Archive
• Løken, Trygve Kvåle; Marchenko, Aleksey; Ellevold, Thea Josefine; Rabault, Jean & Jensen, Atle (2022). Experiments on turbulence from colliding ice floes. Physics of Fluids. ISSN 1070-6631. 34(6). doi: 10.1063/5.0088953. Full text in Research Archive Show summary

  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. The aim of this study is to obtain such information by investigating colliding ice floe dynamics in a large-scale experiment and directly measuring and quantifying the turbulent kinetic energy (TKE). The field work was carried out at Van Mijen Fjord on Svalbard, where a 3x4 m ice floe was sawed out in the fast ice. Ice floe collisions and relative water–ice motion were generated by pulling the ice floe back and forth in an oscillatory manner in a 4x6 m pool, using two electrical winches. Ice floe motion was measured with a range meter and accelerometers, and the water turbulence was measured acoustically with Doppler velocimeters and optically with a remotely operated vehicle and bubbles as tracers. Turbulent kinetic energy spectra were found to contain an inertial subrange where energy was cascading at a rate proportional to the -5/3 power law. The TKE dissipation rate was found to decrease exponentially with depth. The total TKE dissipation rate was estimated by assuming that turbulence was induced over an area corresponding to the surface of the floe. The results suggest that approximately 37% and 8% of the input power from the winches were dissipated in turbulence and absorbed in the collisions, respectively, which experimentally confirms that energy dissipation by induced turbulent water motion is an important mechanism for colliding ice floe fields.

• Sutherland, Graig; Martins de Aguiar, Victor Cesar; Hole, Lars Robert; Rabault, Jean; Dabboor, Mohammed & Breivik, Øyvind (2022). Estimating a mean transport velocity in the marginal ice zone using ice-ocean prediction systems. The Cryosphere. ISSN 1994-0416. 16(5), p. 2103–2114. doi: 10.5194/tc-16-2103-2022. Full text in Research Archive
• Rabault, Jean; Nose, Takehiko; Hope, Gaute; Müller, Malte; Breivik, Øyvind & Voermans, Joey [Show all 20 contributors for this article] (2022). OpenMetBuoy-v2021: An Easy-to-Build, Affordable, Customizable, Open-Source Instrument for Oceanographic Measurements of Drift and Waves in Sea Ice and the Open Ocean. Geosciences. ISSN 2076-3263. 12(3). doi: 10.3390/geosciences12030110. Full text in Research Archive
• Weber, Jan Erik H. & Børve, Eli (2022). On group velocity and spatial damping of diurnal continental shelf waves . Continental Shelf Research. ISSN 0278-4343. 232. doi: 10.1016/j.csr.2021.104630. Full text in Research Archive Show summary

  Diurnal continental shelf waves (CSWs) are studied theoretically for an idealized shelf topography. Wave attenuation is caused by the exchange of fluid on the sloping shelf with an inner region through a permeable coastline. As an example, we consider the region outside Lofoten-Vesterålen in north Norway. Here CSWs with diurnal tidal frequencies are possible in a small wave number range centered around zero group velocity. A previous investigation with a Robin condition (a weighted combination of Dirichlet and Neumann conditions) at the permeable boundary has shown that the spatial damping coefficient becomes infinitely large when the group velocity of the CSWs approaches zero. Here we demonstrate that this is not a result of the mathematical formulation, but reflects a physical reality. We show this by modelling the highly convoluted inner archipelagic region as a series of densely packed vertical Hele Shaw cells. By comparing the two ways of describing a permeable coastal boundary (Robin/Hele Shaw), we may express the Robin parameter in terms of the physical parameters (permeability, eddy viscosity) that characterize the flow on the inner porous shelf. The radiation stresses that drive the Lagrangian mean currents are the same in the two cases. This means that the spatial mean current distribution over the sloping shelf becomes unaltered when we compare the Robin case and the porous inner shelf case.

• Turnbull, Ian D. & Marchenko, Aleksey (2022). Deformation of an ice pack influenced by waves and topographic enhancement of tidal motion near Hopen Island in the Barents Sea. Cold Regions Science and Technology. ISSN 0165-232X. 194. doi: 10.1016/j.coldregions.2021.103463. Show summary

  Understanding the physical mechanisms behind the deformation of pack ice floes is important for understanding the dynamics of the local ice regime, and for the calibration and validation of ice dynamics models. In April 2017, six Iridium satellite-tracking beacons were deployed on six pack ice floes in the Barents Sea south of Svalbard in the Norwegian Arctic. The ice tracker deployment was performed as part of an offshore research expedition carried out onboard the Research Vessel (RV) Polarsyssel to characterize the local sea ice environment. In addition to the ice tracker deployments, an anemometer beacon, a wave beacon, and an Acoustic Doppler Current Profiler (ADCP) were deployed on a drifting ice floe to which the vessel was moored for nearly three days, and extensive thickness, salinity, and density measurements were made. The wave beacon recorded the vertical acceleration of the floe so that wave forcing on the floe drift could be estimated. The in-situ wind, ocean current, wave, and ice thickness and density measurements permitted the estimation of met-ocean forcings on the acceleration of the ice floe. On April 28, two days after the last ice tracker was deployed on April 26, the six tracked ice floes rapidly dispersed just to the west-southwest of Hopen Island. The dispersion of the ice floes was dominated by strong shearing within the local ice pack, coinciding with a rapid increase in the speeds of the local tidal currents, which was soon followed by a rapid increase in the wave energy. Each of the six tracked ice floes increased their observed drift speeds in sync with the increase in the local tidal current speeds at different times for each floe, but at approximately the same decrease in water depth as they reached the northern edge of Spitsbergen Bank. The rapid increase in the tidal currents was linked to the topographic enhancement of tidal motion near Hopen Island in the shallower waters of Spitsbergen Bank. The wind and wave measurements made by the anemometer and wave beacons and ice tracker left on the ice floe to which the vessel was moored allowed for an estimate of the relative strength of the wind, tidal, and wave forcings on the local ice field. The results showed that the tidal currents initially dominated the dynamic response of the local ice field compared to the wind, which led to the conclusion that the enhanced tidal current was ultimately the dominant cause of the initial dispersion of the local pack ice field on April 28, and the dispersion was then further enhanced by the increase in wave energy.

• Garnier, Paul; Viquerat, Jonathan; Rabault, Jean; Larcher, Aurelien; Kuhnle, Alexander & Hachem, Elie (2021). A review on deep reinforcement learning for fluid mechanics. Computers & Fluids. ISSN 0045-7930. 225. doi: 10.1016/j.compfluid.2021.104973. Full text in Research Archive
• Weber, Jan Erik H. & Børve, Eli (2021). Diurnal continental shelf waves with a permeable coastal boundary: Application to the shelf northwest of Norway. European journal of mechanics. B, Fluids. ISSN 0997-7546. 89, p. 64–71. doi: 10.1016/j.euromechflu.2021.05.003. Full text in Research Archive
• Weber, Jan Erik H. & Ghaffari, Peygham (2021). Wave-induced Lagrangian drift in a porous seabed . Environmental Fluid Mechanics. ISSN 1567-7419. doi: 10.1007/s10652-021-09823-4. Full text in Research Archive
• Marchenko, A.V.; Morozov, E.G.; Kozlov, I.E. & Frey, D.I. (2021). High-amplitude internal waves southeast of Spitsbergen. Continental Shelf Research. ISSN 0278-4343. 227. doi: 10.1016/j.csr.2021.104523.
• Weber, Jan Erik H. & Broström, Göran (2021). Convection in conditionally unstable seawater. AIP Advances. ISSN 2158-3226. 11(7). doi: 10.1063/5.0053629. Full text in Research Archive
• Løken, Trygve Kvåle; Ellevold, Thea Josefine; Ramirez de La Torre, Reyna Guadalupe; Rabault, Jean & Jensen, Atle (2021). Bringing optical fluid motion analysis to the field: A methodology using an open source ROV as a camera system and rising bubbles as tracers. Measurement Science and Technology. ISSN 0957-0233. 32(9). doi: 10.1088/1361-6501/abf09d. Full text in Research Archive
• Marchenko, Aleksey; Chistyakov, Peter; Karulin, Evgeny; Markov, Vladimir; Morozov, Eugene G. & Karulina, Marina [Show all 7 contributors for this article] (2021). Field experiments on collisional interaction of floating ice blocks. Proceedings - International Conference on Port and Ocean Engineering under Arctic Conditions. ISSN 0376-6756.
• Løken, Trygve Kvåle; Marchenko, Aleksey; Ellevold, Thea Josefine; Rabault, Jean & Jensen, Atle (2021). An investigation into the turbulence induced by moving ice floes. Proceedings - International Conference on Port and Ocean Engineering under Arctic Conditions. ISSN 0376-6756. Full text in Research Archive
• Løken, Trygve Kvåle; Marchenko, Aleksey; Rabault, Jean; Gundersen, Olav & Jensen, Atle (2021). Iceberg stability during towing in a wave field. Proceedings - International Conference on Port and Ocean Engineering under Arctic Conditions. ISSN 0376-6756. Full text in Research Archive
• Marchenko, Aleksey; Morozov, Eugene G.; Ivanov, A.V.; Elizarova, Tatiana G. & Frey, Dmitry I. (2021). Freezing of tidal flow in Lake Vallunden (Spitsbergen). Proceedings - International Conference on Port and Ocean Engineering under Arctic Conditions. ISSN 0376-6756.
• Marchenko, Aleksey; Turnbull, Ian; Kowalik, Zygmunt; Marchenko, Nataliya; Morozov, Eugene G. & Frey, Dmitry I. (2021). Properties of drift ice and surface currents on Spitsbergen Bank. Proceedings - International Conference on Port and Ocean Engineering under Arctic Conditions. ISSN 0376-6756.
• Marchenko, Aleksey; Karulin, Evgeny & Chystiakov, Peter (2021). Experimental investigation of viscous elastic properties of columnar sea ice. Proceedings - International Conference on Port and Ocean Engineering under Arctic Conditions. ISSN 0376-6756.
• Ren, Feng; Rabault, Jean & Tang, Hui (2021). Applying deep reinforcement learning to active flow control in weakly turbulent conditions. Physics of Fluids. ISSN 1070-6631. 33(3). doi: 10.1063/5.0037371. Full text in Research Archive
• Weber, Jan Erik H. & Christensen, Kai Håkon (2021). On the analogy between rigid plate motion and mean momentum transfer in surface gravity waves . AIP Advances. ISSN 2158-3226. 11(4). doi: 10.1063/5.0043751. Full text in Research Archive
• Marchenko, Aleksey; Morozov, Eugene G.; Ivanov, Anton V.; Elizarova, Tatiana G. & Frey, Dmitry I. (2021). Ice thickening caused by freezing of tidal jet. Russian Journal of Earth Sciences (RJES). ISSN 1681-1178. 21. doi: 10.2205/2021ES000761.
• Marchenko, Aleksey; Haase, Andrea; Jensen, Atle; Lishman, Ben; Rabault, Jean & Evers, Karl-Ulrich [Show all 8 contributors for this article] (2021). Laboratory investigations of the bending rheology of floating saline ice and physical mechanisms of wave damping in the HSVA hamburg ship model basin ice tank. Water. ISSN 2073-4441. 13(8). doi: 10.3390/w13081080. Full text in Research Archive
• Johnson, Mark A.; Marchenko, Aleksey; Dammann, Dyre O. & Mahoney, Andrew R. (2021). Observing wind-forced flexural-gravity waves in the Beaufort sea and their relationship to sea ice mechanics. Journal of Marine Science and Engineering (JMSE). ISSN 2077-1312. 9(5). doi: 10.3390/jmse9050471.
• Weber, Jan Erik H. (2021). Lagrangian drift in a permeable bottom layer induced by internal gravity waves. Tellus A: Dynamic Meteorology and Oceanography. ISSN 0280-6495. 73(1), p. 1–9. doi: 10.1080/16000870.2021.1877461. Full text in Research Archive
• Voermans, Joey; Liu, Qingxiang; Marchenko, Aleksey; Rabault, Jean; Filchuk, Kirill & Ryzhov, Ivan [Show all 12 contributors for this article] (2021). Wave dispersion and dissipation in landfast ice: Comparison of observations against models. The Cryosphere. ISSN 1994-0416. 15(12), p. 5557–5575. doi: 10.5194/tc-15-5557-2021. Full text in Research Archive
• Weber, Jan Erik H. & Christensen, Kai Håkon (2021). On the singular behavior of the Stokes drift in layered miscible fluids. Wave motion. ISSN 0165-2125. 102, p. 1–8. doi: 10.1016/j.wavemoti.2021.102712. Full text in Research Archive
• Rabault, Jean; Sutherland, Graig; Gundersen, Olav; Jensen, Atle; Marchenko, Aleksey & Breivik, Øyvind (2020). An open source, versatile, affordable waves in ice instrument for scientific measurements in the Polar Regions. Cold Regions Science and Technology. ISSN 0165-232X. 170. doi: 10.1016/j.coldregions.2019.102955.
• Ghaffari, Peygham; Weber, Jan Erik H.; Nøst, Ole Anders & Drivdal, Magnus (2020). Stokes drift in topographic waves over an enclosed basin shelf. Journal of Physical Oceanography. ISSN 0022-3670. 50(5), p. 1197–1211. doi: 10.1175/JPO-D-19-0126.1. Full text in Research Archive
• Viquerat, Jonathan; Rabault, Jean; Kuhnle, Alexander; Ghraieb, Hassan; Larcher, Aurelien & Hachem, Elie (2020). DIRECT SHAPE OPTIMIZATION THROUGH DEEP REINFORCEMENT LEARNING. Journal of Computational Physics. ISSN 0021-9991. 428(1). doi: 10.1016/j.jcp.2020.110080. Full text in Research Archive
• Løken, Trygve Kvåle; Rabault, Jean; Jensen, Atle; Sutherland, Graig; Christensen, Kai Håkon & Müller, Malte (2020). Wave measurements from ship mounted sensors in the Arctic marginal ice zone. Cold Regions Science and Technology. ISSN 0165-232X. 182. doi: 10.1016/j.coldregions.2020.103207. Full text in Research Archive
• Løken, Trygve Kvåle; Rabault, Jean; Thomas, Erin E.; Müller, Malte; Christensen, Kai Håkon & Sutherland, Graig [Show all 7 contributors for this article] (2020). A comparison of wave observations in the Arctic marginal ice zone with spectral models. Proceedings of the IAHR International Symposium on ice. ISSN 2414-6331. p. 499–508.
• Marchenko, Aleksey; Grue, John; Karulin, Evgeny; Frederking, R.; Lishman, Ben & Chistyakov, Peter [Show all 16 contributors for this article] (2020). Elastic moduli of sea ice and lake ice calculated from in-situ and laboratory experiments. Proceedings of the IAHR International Symposium on ice. ISSN 2414-6331. p. 95–106.
• Marchenko, Aleksey; Zenkin, Alex; Marchenko, Nataliya; Paynter, Chris; Whitchelo, Yiyi & Ellevold, Thea Josefine [Show all 7 contributors for this article] (2020). Monitoring of 3D motion of drifting iceberg with an ice tracker equipped with accelerometers. Proceedings of the IAHR International Symposium on ice. ISSN 2414-6331. p. 641–651.
• Marchenko, Aleksey; Haase, Andrea; Jensen, Atle; Lishman, Benjamin; Rabault, Jean & Evers, Karl-Ulrich [Show all 8 contributors for this article] (2020). Elasticity and viscosity of ice measured in the experiment on wave propagation below the ice in HSVA ice tank. Proceedings of the IAHR International Symposium on ice. ISSN 2414-6331. p. 509–520.
• Voermans, Joey; Rabault, Jean; Filchuk, Kirill V.; Ryzhov, Ivan; Heil, Petra & Marchenko, Aleksey [Show all 10 contributors for this article] (2020). Experimental evidence for a universal threshold characterizing wave-induced sea ice break-up. The Cryosphere. ISSN 1994-0416. 14, p. 4265–4278. doi: 10.5194/tc-14-4265-2020. Full text in Research Archive
• Rabault, Jean; Voermans, Joey; Sutherland, Graig J.; Jensen, Atle; Babanin, Alexander V. & Filchuk, Kirill V. (2020). Development of Open Source instruments for in-situ measurements of waves in ice. Proceedings of the IAHR International Symposium on ice. ISSN 2414-6331.
• Rabault, Jean; Ren, Feng; Zhang, Wei; Tang, Hui & Xu, Hiu (2020). Deep reinforcement learning in fluid mechanics: A promising method for both active flow control and shape optimization. Journal of Hydrodynamics. ISSN 1001-6058. 32, p. 234–246. doi: 10.1007/s42241-020-0028-y.
• Tang, Hongwei; Rabault, Jean; Kuhnle, Alexander; Wang, Yan & Wang, Tongguang (2020). Robust active flow control over a range of Reynolds numbers using an artificial neural network trained through deep reinforcement learning . Physics of Fluids. ISSN 1070-6631. 32(5). doi: 10.1063/5.0006492. Full text in Research Archive
• Xu, Hui; Zhang, Wei; Deng, Jian & Rabault, Jean (2020). Active flow control with rotating cylinders by an artificial neural network trained by deep reinforcement learning. Journal of Hydrodynamics. ISSN 1001-6058. 32, p. 254–258. doi: 10.1007/s42241-020-0027-z.
• Sutherland, Graig; Rabault, Jean; Christensen, Kai Håkon & Jensen, Atle (2019). A two layer model for wave dissipation in sea ice. Applied Ocean Research. ISSN 0141-1187. 88, p. 111–118. doi: 10.1016/j.apor.2019.03.023. Full text in Research Archive
• Marchenko, Aleksey & Marchenko, Nataliya (2019). Characteristics of ice drift and waves on Spitsbergen-banken. Proceedings - International Conference on Port and Ocean Engineering under Arctic Conditions. ISSN 0376-6756.
• Marchenko, Aleksey; Markov, Vladimir & Taylor, Rocky (2019). Influence of Water on Collisions of Floating Ice Blocks. ISOPE - International Offshore and Polar Engineering Conference. Proceedings. ISSN 1098-6189. p. 757–764.
• Marchenko, Aleksey; Diansky, Nikolay A. & Fomin, Vladimir V. (2019). Modeling of iceberg drift in the marginal ice zone of the Barents Sea. Applied Ocean Research. ISSN 0141-1187. 88, p. 210–222. doi: 10.1016/j.apor.2019.03.008.
• Morozov, Evgeny; Marchenko, Aleksey; Filchuk, Kirill V.; Kowalik, Zygmunt; Marchenko, Nataliya & Ryzhov, Ivan (2019). Sea ice evolution and internal wave generation due to a tidal jet in a frozen sea. Applied Ocean Research. ISSN 0141-1187. 87, p. 179–191. doi: 10.1016/j.apor.2019.03.024.
• Weber, Jan Erik H. & Christensen, Kai Håkon (2019). Virtual wave stress and transient mean drift in spatially damped long interfacial waves. European journal of mechanics. B, Fluids. ISSN 0997-7546. 77, p. 162–170. doi: 10.1016/j.euromechflu.2019.04.004. Full text in Research Archive
• Weber, Jan Erik H. (2019). A Lagrangian study of internal Gerstner- and Stokes-type gravity waves. Wave motion. ISSN 0165-2125. 88, p. 257–264. doi: 10.1016/j.wavemoti.2019.06.002. Full text in Research Archive
• Belus, Vincent; Rabault, Jean; Viquerat, Jonathan; Che, Zhizhao; Hachem, Elie & Reglade, Ulysse Antoine (2019). Exploiting locality and translational invariance to design effective deep reinforcement learning control of the 1-dimensional unstable falling liquid film. AIP Advances. ISSN 2158-3226. 9(12). doi: 10.1063/1.5132378. Full text in Research Archive
• Rabault, Jean; Fauli, Richard Andre & Carlson, Andreas (2019). Curving to fly: Synthetic adaptation unveils optimal flight performance of whirling fruits. Physical Review Letters. ISSN 0031-9007. 122(2), p. 1–6. doi: 10.1103/PhysRevLett.122.024501. Full text in Research Archive
• Rabault, Jean; Sutherland, Graig; Jensen, Atle; Christensen, Kai Håkon & Marchenko, Aleksey (2019). Experiments on wave propagation in grease ice: combined wave gauges and particle image velocimetry measurements. Journal of Fluid Mechanics. ISSN 0022-1120. 864, p. 876–898. doi: 10.1017/jfm.2019.16. Full text in Research Archive
• Rabault, Jean; Kuchta, Miroslav; Jensen, Atle; Reglade, Ulysse Antoine & Cerardi, Nicolas (2019). Artificial neural networks trained through deep reinforcement learning discover control strategies for active flow control. Journal of Fluid Mechanics. ISSN 0022-1120. 865, p. 281–302. doi: 10.1017/jfm.2019.62. Full text in Research Archive
• Marchenko, Aleksey; Wadhams, Peter; Collins, Clarence Olin; Rabault, Jean & Chumakov, Mikhail (2019). Wave-ice interaction in the North-West Barents Sea. Applied Ocean Research. ISSN 0141-1187. 90:101861, p. 1–12. doi: 10.1016/j.apor.2019.101861.
• Rabault, Jean & Kuhnle, Alexander (2019). Accelerating deep reinforcement learning strategies of flow control through a multi-environment approach . Physics of Fluids. ISSN 1070-6631. 31(9). doi: 10.1063/1.5116415. Full text in Research Archive
• Marchenko, Aleksey (2018). Wave Attenuation in Marginal Ice Zone of Arctic Pack Ice to the North of Spitsbergen. ISOPE - International Offshore and Polar Engineering Conference. Proceedings. ISSN 1098-6189. 2018-June, p. 1642–1647. Show summary

  Results of wave measurements in the marginal ice zone of the Arctic pack ice are analyzed and interpreted using a model of wave damping. The model takes into account wave energy dissipation due to the energy transformations inside turbulent boundary layer below the ice. The model includes two parameters one of which is equal to the ratio of the amplitudes of horizontal floe velocities to the horizontal velocities of surface water particles. The second parameter equals the eddy viscosity of water under the ice. Estimates of wave attenuation based on the model considerations are found in a good agreement with the observed wave attenuation.

• Rabault, Jean; Kuchta, Miroslav; Jensen, Atle; Reglade, Ulysse & Cerardi, Nicolas (2018). Artificial Neural Networks trained through Deep Reinforcement Learning discover control strategies for active flow control. arXiv.org. ISSN 2331-8422. doi: 10.1017/jfm.2019.62.
• Rabault, Jean; Kuchta, Miroslav; Jensen, Atle; Reglade, Ulysse & Nicolas, Cerardi (2018). Deep Reinforcement Learning achieves flow control of the 2D Karman Vortex Street. arXiv.org. ISSN 2331-8422.
• Jensen, Atle (2018). Solitary wave impact on a vertical wall. European journal of mechanics. B, Fluids. ISSN 0997-7546. 73, p. 69–74. doi: 10.1016/j.euromechflu.2018.05.004. Full text in Research Archive

View all works in Cristin

• Marchenko, Aleksey (2020). Influence of floe-floe interactions on wave damping in marginal ice zones. Show summary

  Numerous observations show that in spite of relative motions of floes caused by wave propagation in marginal ice zone (MIZ) direct contacts between them don’t occur. Nevertheless, relative motions of floes may influence formation of oscillating water currents between them which take and dissipate the energy of incoming waves. Full-scale and laboratory experiments were performed to investigate characteristics of water currents between interacting floes. The experiments included the investigation of vertical and horizontal oscillating motions of floes in ice environment. During the experiments we recorded floe accelerations, water pressure and water velocity. Main goal of the experiments was to estimate effective viscosity of water in gapes between interacting floes, describe floe-floe forces caused by the floe accelerations, and estimate the influence of slush formation on the effective viscosity of water. The floe motion was initiated by mechanical pooling, towing with a rope and by original pendulum rig. The experiments were performed in the Van-Mijen Fjord of Spitsbergen in winter seasons of 2018 and 2019, and in the wave flume at UNIS. A lubrication theory was used to describe the dependence of water pressure between interacting floes from their relative speed and the distance between approaching surfaces. Comparison of numerical simulations with experimental records showed that the action of water pressure and the formation of flow jets can prevent direct collision of approaching floes. Obtained analytical formulas are used for the formulation of rheological equations describing the behavior of broken ice in MIZ.

• Løken, Trygve Kvåle (2020). Her skal de avsløre isflakenes rolle i klimasystemet. [Internet]. Titan.
• Løken, Trygve Kvåle (2020). Her skal de avsløre isflakenes rolle i klimasystemet. [Internet]. Teknisk Ukeblad.
• Løken, Trygve Kvåle; Rabault, Jean; Thomas, Erin E.; Müller, Malte; Christensen, Kai Håkon & Sutherland, Graig [Show all 7 contributors for this article] (2020). A comparison of wave observations in the Arctic marginal ice zone with spectral models.
• Løken, Trygve Kvåle (2020). Isfjell på kollisjonskurs: Hvordan skal de taues bort fra faresonen? [Internet]. Titan.uio.no.
• Løken, Trygve Kvåle (2020). Isfjell på kollisjonskurs: Hvordan skal de taues bort fra faresonen? [Internet]. Teknisk Ukeblad.
• Rabault, Jean; Sutherland, Graig; Marchenko, Aleksey & Jensen, Atle (2019). Diving into the Physics of Wave-Ice interaction: recent evidences of complex viscous dynamics.
• Løken, Trygve Kvåle; Rabault, Jean; Jensen, Atle; Christensen, Kai Håkon & Müller, Malte (2019). Wave statistics from ship mounted sensors in the marginal ice zone.
• Breivik, Øyvind; Rabault, Jean; Hole, Lars R; Christensen, Kai Håkon; Müller, Malte & Jensen, Atle [Show all 7 contributors for this article] (2019). Bølger i isen påvirker Arktis. Å forstå isdønningene kan forbedre værvarsler og klimamodeller. Forskning.no. ISSN 1891-635X.
• Rabault, Jean; Jensen, Atle & Kuchta, Miroslav (2019). Deep Reinforcement Learning reduces cylinder drag in a 2D flow simulation: a first step towards novel Active Flow Control methodology?
• Marchenko, Aleksey; Haase, Andrea; Jensen, Atle; Lishman, Ben & Rabault, Jean (2019). Laboratory investigations of the bending rheology of floating saline ice and wave damping in the HSVA ice tank.
• Rabault, Jean; Sutherland, Graig J. & Jensen, Atle (2019). Measurements of waves in ice using open source solutions: results from recent deployments in the Northwest Barents sea.
• Marchenko, Aleksey (2019). Modeling of iceberg drift in the Barents Sea.
• Rabault, Jean; Sutherland, Graig J. & Jensen, Atle (2019). Measurements of sea ice drift and dynamics using an open source instrument.
• Løken, Trygve Kvåle; Rabault, Jean; Jensen, Atle; Sutherland, Graig; Christensen, Kai Håkon & Müller, Malte (2019). Wave measurements from ship mounted sensors in the Arctic marginal ice zone.
• Rabault, Jean; Nicolas, Cerardi; Reglade, Ulysse; Kuchta, Miroslav & Jensen, Atle (2018). An Artificial Neural Network trained through Deep Reinforcement Learning achieves Active Flow Control of the 2D Karman Vortex Street behind a Cylinder at moderate Reynolds number.
• Rabault, Jean; Kolaas, Jostein & Jensen, Atle (2018). Using modern Artificial Neural Networks for performing end-to-end Particle Image Velocimetry.
• Rabault, Jean; Sutherland, Graig & Jensen, Atle (2018). Novel Field and Laboratory Observations of Wave-ice Interactions in Various Sea Ice Types.

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