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Adil Rasheed

Senior Research Scientist

Adil Rasheed

Senior Research Scientist

Adil Rasheed
Phone: 902 91 771
Department: Mathematics and Cybernetics
Office: Trondheim

Publications and responsibilities

Publication
https://www.sintef.no/en/publications/publication/?pubid=CRIStin+1783639

Digital twin can be defined as a virtual representation of a physical asset enabled through data and simulators for real-time prediction, optimization, monitoring, controlling, and improved decision making. Recent advances in computational pipelines, multiphysics solvers, artificial intelligence, bi...

Authors Rasheed Adil San Omer Kvamsdal Trond
Year 2020
Type Journal publication
Publication
https://www.sintef.no/en/publications/publication/?pubid=CRIStin+1770951

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 ...

Year 2019
Type Part of a book/report
Publication
https://www.sintef.no/en/publications/publication/?pubid=CRIStin+1762091

Aerodynamic characteristic of a small scale wind turbine under the influence of an incoming uniform wind field is studied using k-ω Shear Stress Transport turbulence model. Firstly, the lift and drag characteristics of the blade section consisting of S826 airfoil is studied using 2D simulations at a...

Authors Siddiqui Muhammad Salman Rasheed Adil Kvamsdal Trond
Year 2019
Type Journal publication
Publication
https://www.sintef.no/en/publications/publication/?pubid=CRIStin+1741413

We present, what to our best knowledge, is the most accurate numerical investigation of the wind tunnel tests carried out over a model wind turbine (known as NTNU Blind Test) at the Norwegian University of Sciences and Technology. We show numerical benchmarking of wake measurements against experimen...

Authors Siddiqui Muhammad Salman Kvamsdal Trond Rasheed Adil
Year 2019
Type Journal publication
Publication
https://www.sintef.no/en/publications/publication/?pubid=CRIStin+1653615

Reduced-basis methods (RB methods or RBMs) form one of the most promising techniques to deliver numerical solutions of parametrized PDEs in real-time with reasonable accuracy. For incompressible flow problems, RBMs based on LBB stable velocity–pressure spaces do not generally inherit the stability o...

Authors Fonn Eivind Brummelen Harald van Kvamsdal Trond Rasheed Adil
Year 2019
Type Journal publication