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Computational Fluid Dynamics

High-fidelity numerical methods for complex fluid flows

CFD Research

Overview

CFD research focuses on developing high-fidelity numerical methods for simulating complex fluid flows. Applications range from urban wind environments to offshore wind turbines, with emphasis on turbulence modeling and real-time prediction systems.

My PhD from EPFL focused on numerical modeling of urban climate, and I continue to apply CFD expertise to wind energy, aviation safety, and building aerodynamics.

Research Topics

Large Eddy Simulation (LES)

Resolving large-scale turbulent structures directly.

RANS Turbulence Modeling

Efficient methods for industrial CFD applications.

Multiscale Modeling

Coupling multiscale models.

Wake Modeling

Predicting wind turbine and aircraft wakes.

Fluid-Structure Interaction

Coupled simulations of fluid and structural dynamics.

Terrain-induced wind modeling

Simulating wind in complex terrain.

Key Projects

Wind Energy

FSI-WT

Fluid Structure Interaction for Wind Turbines (20M NOK, 2012-2017)

Aviation

DRIFT TURBULENS

Microscale wind and turbulence prediction for airports (12M NOK)

Key Publications

Nested computational fluid dynamic modeling of mean turbulent quantities estimation in complex topography using AROME-SIMRA
Midjiyawa, Z., Venås, J.V., Kvamsdal, T., Kvarving, A.M., Midtbø, K.H., Rasheed, A.
Journal of Wind Energy and Industrial Aerodynamics, 240, 105497, 2023
DOI
High Fidelity Computational Fluid Dynamics Assessment of Wind Tunnel Turbine Test
Siddiqui, M.S., Kvamsdal, T., Rasheed, A.
Journal of Physics: Conference Series, 1356:012044, 2019
Link
High Resolution CFD Modelling and Prediction of Terrain Induced Wind Shear and Turbulence for Aviation Safety
Tabib, M., Rasheed, A., Kvamsdal, T.
MekIT'19 / CIMNE, 2019
Link
Numerical investigation of modeling frameworks and geometric approximations on NREL 5MW wind turbine
Siddiqui, M.S., Rasheed, A., Tabib, M.V., Kvamsdal, T.
Renewable Energy, 132, 1058–1075, 2019
DOI
Finite Volume high-fidelity simulation combined with finite-element-based reduced order modeling of incompressible flow problems
Siddiqui, M.S., Fonn, E., Kvamsdal, T., Rasheed, A.
Energies, 12, 1271, 2019
DOI
Data-driven deconvolution for large eddy simulations of Kraichnan turbulence
Maulik, R., San, O., Rasheed, A., Vedula, P.
Physics of Fluids, 30, 125109, 2018
DOI
A hybrid analytics paradigm combining physics-based modeling and data-driven modeling to accelerate incompressible flow solvers
Rahman, S. M., Rasheed, A., San, O.
Fluids, 3(3), 50, 2018
DOI
Simulation of airflow past a 2D NACA0015 airfoil using an isogeometric incompressible Navier–Stokes solver with the Spalart–Allmaras turbulence model
Nordanger, K., Holdahl, R., Kvarving, A.M., Kvamsdal, T., Rasheed, A.
Computer Methods in Applied Mechanics and Engineering, 290, 183–208, 2015
DOI
LES and RANS Simulation of Onshore Bessaker Wind Farm: Analysing Terrain and Wake Effects on Wind Farm Performance
Tabib, M.V., Rasheed, A., Kvamsdal, T.
Journal of Physics: Conference Series, 625:012032, 2015
Link
CFD Analysis of terrain induced turbulence at Kristiansand airport, Kjevik
Rasheed, A., Karstein S.
Aviation, 17, 104–112, 2013
DOI
Isogeometric Methods for CFD and FSI-Simulation of Flow Around Turbine Blades
van Opstal, T., Fonn, E., Holdahl, R., Kvamsdal, T., Kvarving, A.M., Mathisen, K.M., Nordanger, K., Okstad, K.M., Rasheed, A., Tabib, M.V.
Energy Procedia, 80:442–449, 2015
DOI

Background

Ph.D. in Numerical Modelling of Urban Climate

2005 - 2009

Swiss Federal Institute of Technology (EPFL), Lausanne, Switzerland

Thesis nominated for the Ville de Lausanne Award. Developed CFD methods for urban wind environment simulation.