Blar i SINTEF Open på forfatter "Rasheed, Adil"
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Nonlinear proper orthogonal decomposition for convection-dominated flows
Ahmed, Shady E; San, Omer; Rasheed, Adil; Trian, Iliescu (Peer reviewed; Journal article, 2021)Autoencoder techniques find increasingly common use in reduced order modeling as a means to create a latent space. This reduced order representation offers a modular data-driven modeling approach for nonlinear dynamical ... -
A novel hybrid analysis and modeling approach applied to aluminum electrolysis process
Lundby, Erlend Torje Berg; Rasheed, Adil; Gravdahl, Jan Tommy; Halvorsen, Ivar Johan (Peer reviewed; Journal article, 2021)Aluminum electrolysis cells are characterized by harsh environments where several measurements have to be done manually. Due to the operational costs related to manual sampling, the sampling rates of these measurements are ... -
Numerical Analysis of NREL 5MW Wind Turbine: A Study Towards a Better Understanding of Wake Characteristic and Torque Generation Mechanism
Siddiqui, Muhammad Salman; Rasheed, Adil; Tabib, Mandar; Kvamsdal, Trond (Journal article; Peer reviewed, 2016)With the increased feasibility of harvesting offshore wind energy, scale of wind turbines is growing rapidly and there is a trend towards clustering together higher number of turbines in order to harvest maximum yield and ... -
Numerical benchmarking of fluid–structure interaction: An isogeometric finite element approach
Nordanger, Knut; Rasheed, Adil; Okstad, Knut Morten; Kvarving, Arne Morten; Holdahl, Runar; Kvamsdal, Trond (Journal article; Peer reviewed, 2016)In this paper we describe and evaluate an isogeometric finite element program, IFEM-FSI, for doing coupled fluid–structure interaction simulations. We investigate the role played by employing higher polynomial orders and ... -
Numerical investigation of modeling frameworks and geometric approximations on NREL 5 MW wind turbine
Siddiqui, Muhammad Salman; Rasheed, Adil; Tabib, Mandar; Kvamsdal, Trond (Journal article; Peer reviewed, 2018)The key to the better design of an industrial scale wind turbine is to understand the influence of blade geometry and its dynamics on the complicated flow-structures. An industrial-scale wind turbine can be numerically ... -
Physics guided neural networks for modelling of non-linear dynamics
Robinson, Haakon; Pawar, Suraj; Rasheed, Adil; San, Omer (Peer reviewed; Journal article, 2022)The success of the current wave of artificial intelligence can be partly attributed to deep neural networks, which have proven to be very effective in learning complex patterns from large datasets with minimal human ... -
Quasi-Static & Dynamic Numerical Modeling of Full Scale NREL 5MW Wind Turbine
Siddiqui, Muhammad Salman; Rasheed, Adil; Fonn, Eivind; Tabib, Mandar; Kvamsdal, Trond (Journal article; Peer reviewed, 2017)Simulations of the National Renewable Energy Laboratory (NREL) 5MW wind turbine under quasi-static Multiple Reference Frame (MRF) and dynamic Sliding Mesh Interface (SMI) methodologies are presented. Two reference zone ... -
Reduced order models for finite-volume simulations of turbulent flow around wind-turbine blades
Tsiolakis, Vasileios; Kvamsdal, Trond; Rasheed, Adil; Fonn, Eivind; Brummelen, Harald van (Peer reviewed; Journal article, 2021)The computational cost of the design optimisation of wind turbines, as well as the optimisation of the operation and maintenance of offshore wind farms represents a limitation to the application of conventional simulation ... -
Self-organising map based framework for investigating accounts suspected of money laundering
Alshantti, Abdallah Anis Sameer; Rasheed, Adil (Peer reviewed; Journal article, 2021)There has been an emerging interest by financial institutions to develop advanced systems that can help enhance their anti-money laundering (AML) programmes. In this study, we present a self-organising map (SOM) based ... -
Simulation of airflow past a 2D NACA0015 airfoil using an isogeometric incompressible Navier-Stokes solver with the Spalart-Allmaras turbulence model
Nordanger, Knut; Holdahl, Runar; Kvamsdal, Trond; Kvarving, Arne Morten; Rasheed, Adil (Journal article; Peer reviewed, 2015)The work presented in this paper concerns the efforts of conducting a computational fluid dynamics (CFD) simulation of air flow past a fixed 2D NACA0015 airfoil at high Reynolds number (Re=2.5×106Re=2.5×106) using an ... -
Spline based Mesh Generator for high fidelity simulation of flow around turbine blades
Fonn, Eivind; Rasheed, Adil; Kvarving, Arne Morten; Kvamsdal, Trond (Journal article; Peer reviewed, 2015)Mesh generation involving complex geometries, such as wind turbine blades, is highly complicated. The problem is generally addressed using tetrahedral meshes, or hybrid meshes with hexahedral elements close to the body and ... -
Subgrid modelling for two-dimensional turbulence using neural networks
Maulik, Romit; San, Omer; Rasheed, Adil; Vedula, Prakash (Journal article; Peer reviewed, 2019)In this investigation, a data-driven turbulence closure framework is introduced and deployed for the subgrid modelling of Kraichnan turbulence. The novelty of the proposed method lies in the fact that snapshots from ... -
Taming an autonomous surface vehicle for path following and collision avoidance using deep reinforcement learning
Meyer, Eivind; Robinson, Haakon; Rasheed, Adil; San, Omer (Peer reviewed; Journal article, 2020)In this article, we explore the feasibility of applying proximal policy optimization, a state-of-the-art deep reinforcement learning algorithm for continuous control tasks, on the dual-objective problem of controlling an ... -
Terrain-forced Wind and Turbulence and Optimization of Local Domains and Grids for Terrain-induced Turbulence Forecast
Sørli, Karstein; Rasheed, Adil (Research report, 2011)A study of mountain-forced wind, wind-shear and turbulence was conducted in order to reveal general characteristics of terrain-induced turbulence nearby airports in mountainous areas. Special studies of the topography close ... -
Variational multiscale reinforcement learning for discovering reduced order closure models of nonlinear spatiotemporal transport systems
San, Omer; Pawar, Suraj; Rasheed, Adil (Peer reviewed; Journal article, 2022)A central challenge in the computational modeling and simulation of a multitude of science applications is to achieve robust and accurate closures for their coarse-grained representations due to underlying highly nonlinear ...