1 to 10 of 210 Results
Mar 25, 2026 - NTNU – Norwegian University of Science and Technology
Larkermani, Elyas; Soydan, Ahmet; Hanke, Alexander T.; Wang, Widar Weizhi; Bihs, Hans, 2026, "Simulation data for the coupled CFD–DEM approach implemented in REEF3D", https://doi.org/10.18710/3XTUUD, DataverseNO, V1
This dataset contains the input files, geometry files, solver configuration, and selected output time-series necessary to reproduce the benchmark case shown in the associated paper, accepted for publication in the Coastal and Offshore Science and Engineering (COSE) journal: the buoyant rise and collision of three rigid spheres in a two-phase (air–w... |
Mar 18, 2026 - NTNU – Norwegian University of Science and Technology
Trivedi, Chirag, 2026, "Francis-99 Workshop 2: Transient operation", https://doi.org/10.18710/WLBL7M, DataverseNO, V1
The Francis-99 workshop series aims to provides an open platform to the hydropower researchers and possibility to explore their capabilities and to enhance their computational modelling skills. The objective is to provide high quality experimental data of selected test cases from the Waterpower laboratory (NTNU). The open data may include three-dim... |
Mar 13, 2026 - NTNU – Norwegian University of Science and Technology
Dalbiso, Alemayehu Darge; Sandberg, Dick; Hajmohammadian Baghban, Mohammad, 2026, "Supplementary database for: Flexural Behavior of Mechanically-Connected Timber–Concrete Composite Floors: Database Development and Critical Review of Full-Scale Experiments", https://doi.org/10.18710/ZCJGH2, DataverseNO, V1
This experimental database encompasses parameters collected from 417 full-scale experimental specimens on mechanically jointed Timber Concrete Composite (TCC) beam and slabs subjected to short-term static bending tests. Parameters include general study details such as reference, test setup, specimen type, specimen count, and identification. Geometr... |
Feb 26, 2026 - NTNU – Norwegian University of Science and Technology
Wallisch, Joachim; Hann, Richard, 2026, "Background Data for: "UAV Icing: Numerical Simulations of Electrothermal Wing De-icing with Shedding Prediction"", https://doi.org/10.18710/OAY9A2, DataverseNO, V1
This dataset contains the summarized simulation results used in the paper "UAV Icing: Numerical Simulations of Electrothermal Wing De-icing with Shedding Prediction". The aim of the paper is to numerically predict ice shedding from a wing with an electrothermal de-icing system. Based on experimental results, shedding is modeled when 83% of the inte... |
Feb 23, 2026 - NTNU – Norwegian University of Science and Technology
Trivedi, Chirag, 2026, "Francis-99 workshop 1: Steady state operation", https://doi.org/10.18710/HKQ2RF, DataverseNO, V1
Francis-99 is the series of workshops that provided open data to the researchers worldwide. Hydraulic turbines play essential roles to mitigate the renewable energy demand. The design data of the turbine are rarely available due to confidentiality. The workshop series provides an unique opportunity to the researchers worldwide and provides the stat... |
Feb 12, 2026 - NTNU – Norwegian University of Science and Technology
Ellingsen, Simen Ådnøy; Rømcke, Olav; Smeltzer, Benjamin; Teixeira, Miguel; van den Bremer, T. S.; Moen, Kristoffer Sosulski; Hearst, R. Jason, 2026, "Replication Data for: Turbulence-induced anti-Stokes flow: experiments and theory", https://doi.org/10.18710/ZZPUNJ, DataverseNO, V1
This set contains snapshots of the 2D velocity fields in a vertical- streamwise plane in the water phase of the recirculating water channel in Strømningsteknisk at NTNU with surface gravity waves traveling upstream on the flow. Particle image velocimetry (PIV) is used to capture the velocities. The set contains four different turbulent conditions (... |
Feb 10, 2026 - NTNU – Norwegian University of Science and Technology
Ladai, Andras Denes; Piranavarupan, Sarujan, 2025, "3D scan data of the Dagsgardsloftet log house at Maihaugen Museum in Lillehammer, Norway", https://doi.org/10.18710/Z3HOOR, DataverseNO, V3
High-resolution 3D scan data of the Dagsgardsloftet wooden log house, located in the park of the Maihaugen Museum in Lillehammer, Norway, was acquired as the fundamental dataset for Sarujan’s master’s thesis on HBIM-related analyses. Beyond its role in academic research, the resulting point cloud also serves as valuable documentation of Norwegian c... |
Jan 22, 2026 - NTNU – Norwegian University of Science and Technology
Trivedi, Chirag, 2026, "Computational fluid dynamic simulation of a pump-turbine", https://doi.org/10.18710/ECWM4E, DataverseNO, V1
The data correspond to the computational fluid dynamic simulations of a reversible pump-turbine. A three-dimensional simulation of the turbine was conducted under different operating conditions, design load, high load and part load. Prior to the simulations, several observation points were created inside the numerical model that allowed to acquire... |
Jan 12, 2026 - NTNU – Norwegian University of Science and Technology
Hillestad, Johannes Næsset; Yadala, Srikar; Li, Leon; Hearst, R. Jason; Worth, Nicholas A., 2026, "Volumetric three-dimensional experimental measurement of a model wind turbine wake", https://doi.org/10.18710/SX0ZQT, DataverseNO, V1
This dataset contains time-resolved, volumetric, three-dimensional velocity fields of the near wake of a model wind turbine (WT). The velocity fields were obtained experimentally using particle tracking velocimetry (PTV), specifically the Shake-the-Box (STB) algorithm. The Eulerian velocity fields were calculated from the particle tracks using Vort... |
Dec 8, 2025 - NTNU – Norwegian University of Science and Technology
Benonisen, Petter Rikheim; R. Jason Hearst; Yi Hui Tee, 2025, "Replication Data for: Dispersion of inertial finite-size particles in turbulent open-channel flow", https://doi.org/10.18710/2RFUMU, DataverseNO, V1
This dataset contains the data files required to reproduce the results of the journal article Benonisen, et al. (2025). Dispersion of inertial finite-size particles in turbulent open-channel flow. J. Fluid Mech., 1023, A32. https://doi.org/10.1017/jfm.2025.10851. It contains particle settling location data, particle trajectories in quiescent flow,... |
