Blar i SINTEF Open på forfatter "Rasheed, Adil"
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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 ... -
GANs enabled super-resolution reconstruction of wind field
Tran, Duy Tan; Robinson, Haakon; Rasheed, Adil; San, Omer; 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 Fidelity Computational Fluid Dynamics Assessment of Wind Tunnel Turbine Test
Siddiqui, Muhammad Salman; Kvamsdal, Trond; Rasheed, Adil (Journal article; Peer reviewed, 2019)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 ... -
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 ... -
Impact Assessment of Adverse Turbulence due to Landscape changes close to Airports. Mathematical and Software Tools for Terrain Modification and Impact Assessment
Sørli, Karstein; Rasheed, Adil (SINTEF Rapport;, Research report, 2013)In places dominated by irregular terrain, significant topographical modifications are often required to develop new or improve the existing infrastructure like roads, buildings, airport terminals and harbours. If the ... -
Implementation and comparison of three isogeometric Navier–Stokes solvers applied to simulation of flow past a fixed 2D NACA0012 airfoil at high Reynolds number
Nordanger, Knut; Holdahl, Runar; Kvarving, Arne Morten; Rasheed, Adil; Kvamsdal, Trond (Journal article; Peer reviewed, 2015)Implementation of three different Navier–Stokes solvers in an isogeometric finite element framework is presented in this paper. The three solvers Chorin projection method and Coupled formulation , both with the Spalart–Allmaras ... -
Industrial scale turbine and associated wake development -comparison of RANS based Actuator Line Vs Sliding Mesh Interface Vs Multiple Reference Frame method
Tabib, Mandar; Siddiqui, Muhammad Salman; Rasheed, Adil; Kvamsdal, Trond (Journal article; Peer reviewed, 2017)This current work compares the three methodologies (Actuator Line model (ALM), Sliding Mesh Interface (SMI) and Multiple Reference Frame (MRF)) in modeling an industrial scale reference turbine at different tip speed ratios ... -
Influence of Tip Speed Ratio on Wake Flow Characteristics Utilizing Fully Resolved CFD Methodology
Siddiqui, Muhammad Salman; Rasheed, Adil; Kvamsdal, Trond; Tabib, Mandar (Journal article; Peer reviewed, 2017)Dominant flow structures in the wake region behind the turbine employed in the Blind Test campaign [1], [2] is investigated numerically. The effect on the wake configuration at variable operating conditions are studied. ... -
Investigation of the impact of wakes and stratification on the performance of an onshore wind farm
Tabib, Mandar; Rasheed, Adil; Kvamsdal, Trond (Journal article; Peer reviewed, 2015)This work investigates the effects of wakes and stratification on the performance of turbines operating in the Bessaker wind farm. The wind farm is located in a highly complex terrain. Most dominant wind directions recorded ... -
Isogeometric methods for CFD and FSI-simulation of flow around turbine blades
van Opstal, Timo Matteo; Fonn, Eivind; Holdahl, Runar; Kvamsdal, Trond; Kvarving, Arne Morten; Mathisen, Kjell Magne; Nordanger, Knut; Okstad, Knut Morten; Rasheed, Adil; Tabib, Mandar (Journal article; Peer reviewed, 2015)Coupled fluid-structure interaction simulations of wind turbines have traditionally been considered computationally too expensive to carry out. However, more powerful computers and better solution techniques based on ... -
LES and RANS simulation of onshore Bessaker wind farm: analyzing terrain and wake effects on wind farm performance
Tabib, Mandar; Rasheed, Adil; Kvamsdal, Trond (Journal article; Peer reviewed, 2015)This work compares the predictive performance of RANS and LES solver in capturing the effect of terrain and wakes on the performance of the Bessaker wind farm. This 25 turbine wind farm is located in a highly complex terrain ... -
Machine learning based investigation of influence of weather on transport mobility.
Tabib, Mandar; Rasheed, Adil (SINTEF Rapport, Research report, 2017)Current work involves data-driven analysis of travel mobility. For this purpose, traffic counts of cars and bikes at various traffic routes along With the associated weather have been collected in Oslo, Norway. Amongst the ... -
Mesoscale numerical modelling of met-ocean interactions
Süld, Jakob Kristoffer; Rasheed, Adil; Kristiansen, Jørn; Sætra, Øyvind; Carrasco, Ana; Kvamsdal, Trond (Journal article; Peer reviewed, 2015)Offshore wind energy compared to its onshore counterpart appears more attractive due to its lesser visual impact and lesser issues related to land acquisition. Relatively more convenient accessibility to open sea allows ... -
Methodology for assessing cycling comfort during a smart city development.
Tabib, Mandar; Rasheed, Adil; Priya Uteng, Tanu (Journal article; Peer reviewed, 2017)Smart city development that encourages more bicycles on the road will pave way for a city with an energy-efficient transport. In this direction, the current work involves developing a cycling comfort matrix based on ... -
Multi-fidelity information fusion with concatenated neural networks
Pawar, Suraj; San, Omer; Vedula, Prakash; Rasheed, Adil; Kvamsdal, Trond (Peer reviewed; Journal article, 2022)Recently, computational modeling has shifted towards the use of statistical inference, deep learning, and other data-driven modeling frameworks. Although this shift in modeling holds promise in many applications like design ... -
Multifidelity computing for coupling full and reduced order models
Ahmed, Shady E; San, Omer; Kara, Kursat; Younis, Rami; Rasheed, Adil (Peer reviewed; Journal article, 2021)Hybrid physics-machine learning models are increasingly being used in simulations of transport processes. Many complex multiphysics systems relevant to scientific and engineering applications include multiple spatiotemporal ... -
Near wake region of an industrial scale wind turbine: comparing LES-ALM with LES-SMI simulations using data mining
Tabib, Mandar; Rasheed, Adil; Fonn, Eivind; Siddiqui, Muhammad Salman; Kvamsdal, Trond (Journal article, 2017)Accurate prediction of power generation capability needs proper assessment of blade loading and wake behavior. In this regard, the Sliding Mesh Interface (SMI) approach and the Actuator Line Model (ALM) are two diverse ... -
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 (Peer reviewed; Journal article, 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 non-intrusive parametric reduced order model for urban wind flow using deep learning and Grassmann manifold
Tabib, Mandar; Pawar, Suraj; Ahmed, Shady E; Rasheed, Adil; San, Omer (Peer reviewed; Journal article, 2021)In this study, we present a parametric non-intrusive reduced order modeling framework as a potential digital twin enabler for fluid flow related applications. The case study considered here involves building-induced flows ...