Blar i Institutt for teknisk kybernetikk på forfatter "Tabib, Mandar"
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GANs enabled super-resolution reconstruction of wind field
Tran, Duy Tan; Robinson, Haakon; Rasheed, Adil; San, Omer; Tabib, Mandar; Kvamsdal, Trond (Peer reviewed; Journal article, 2020)Atmospheric flows are governed by a broad variety of spatio-temporal scales, thus making real-time numerical modeling of such turbulent flows in complex terrain at high resolution computationally unmanageable. In this ... -
Geometric Change Detection in Digital Twins using 3D Machine Learning
Sundby, Tiril; Graham, Julia Maria; Rasheed, Adil; Tabib, Mandar; San, Omer (Peer reviewed; Journal article, 2021)Digital twins are meant to bridge the gap between real-world physical systems and virtual representations. Both stand-alone and descriptive digital twins incorporate 3D geometric models, which are the physical representations ... -
High-Resolution Cfd Modelling and Prediction of Terrain-Induced Wind Shear and Turbulence for Aviation Safety.
Tabib, Mandar; Rasheed, Adil; Kvamsdal, Trond (Chapter, 2019)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 ... -
Hybrid deep-learning POD-based parametric reduced order model for flow around wind-turbine blade
Tabib, Mandar; Tsiolakis, Vasileios; Pawar, Suraj; Ahmed, Shady E.; Rasheed, Adil; Kvamsdal, Trond; San, Omer (Peer reviewed; Journal article, 2022)In this study, we present a parametric, non-intrusive reduced order modeling (NIROM) framework as a potential digital-twin enabler for fluid flow around an aerofoil. A wind turbine blade has its basic foundation in the ... -
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
Tabib, Mandar; Midtbø, Knut Helge; Rasheed, Adil; Kvamsdal, Trond; Skaslien, Tor (Journal article; Peer reviewed, 2021)Good understanding of micro-scale urban-wind phenomena is needed for optimizing power generation capabilities of building-integrated wind turbines and for safety of futuristic urban transport involving drones. The current ... -
A nudged hybrid analysis and modeling approach for realtime wake-vortex transport and decay prediction
Ahmed, Shady E; Pawar, Suraj; San, Omer; Rasheed, Adil; Tabib, Mandar (Journal article, 2020)We put forth a long short-term memory (LSTM) nudging framework for the enhancement of reduced order models (ROMs) of fluid flows utilizing noisy measurements for air traffic improvements. Toward emerging applications of ...