Publikasjoner og ansvarsområder
A nudged hybrid analysis and modeling approach for realtime wake-vortex transport and decay prediction
Drone-based transport of biological material: Wind and turbulence prediction at OUS, Hospital for path planning.
A nested multi-scale model for assessing urban wind conditions : Comparison of Large Eddy Simulation versus RANS turbulence models when operating at the finest scale of the nesting
A non-intrusive parametric reduced order model for urban wind flow using deep learning and Grassmann manifold
Machine learning with subsequent physics-based analytics for guiding transport planning
Towards Understanding Wind Impact for Drone Operations: A Comparison of Wind Models Operating on Different Scales in a Nested Multiscale Set-Up
GANs enabled super-resolution reconstruction of wind field
Screening thermoelectric materials with ab initio atomistic modelling and machine learning techniques
High-Resolution Cfd Modelling and Prediction of Terrain-Induced Wind Shear and Turbulence for Aviation Safety.
The paper describes the ability of a high-resolution Computational Fluid Dynamics model to predict terrain-induced turbulence and wind shear close to the ground for aviation safety. The capabilities of the model are demonstrated by applying it to the Sandnessjøen Airport, Stokka, in Norway, an...