Omar Mahfoze

Science and Technology Facilities Council | STFC · Scientific Computing Department

This study is designed to participate in the Collaborative Computational Project in Wave Structure Interaction (CCP-WSI) Blind Test Series 4. This test consists of three cases, all involving a submerged flexible membrane subjected to a focused wave event. We employed the Parallel Partitioned Multi-physics Simulation Framework (ParaSiF) code to part...

As part of a wider project to understand the applicability of utilising slosh-based damping for wing-like structures, simulations of partially filled tanks subjected to harmonically oscillating and vertical motion are presented. The Volume of Fluid modelling approach is used to capture the air–water interface and different turbulence models based o...

The added damping generated by liquid sloshing in a tank has been utilized in a number of civil applications, including aviation, to reduce the vibration of the system. As part of a wider EU H2020 project called SLOWD (Sloshing Wing Dynamics), the presented study performed numerical simulations on the slosh-induced damping of liquid in tanks that w...

View Video Presentation: https://doi.org/10.2514/6.2022-3769.vid Typically, budget terms in the transport equations for statistical velocity moments (RANS equations) are extracted from DNS data at the time of simulations (on-the-fly). However, a larger set of statistics may later be required for modeling purposes. Some statistics may have to be rec...

Fluid Structure Interaction (FSI) is a multi-physics problem that dominates many engineering and research applications. In this work we present a partitioned FSI framework developed around a number of open-source solvers and an open-source general purpose code coupling library. Fluid dynamics are handled by OpenFOAM and a solid mechanics solution i...

This numerical study based on high-order finite-difference schemes presents LES-NWR (Large Eddy Simulation with near-wall resolution) of turbulent channel flows up to Reτ=5200 using non-explicit approaches for which numerical dissipation is introduced via the discretisation of viscous terms of the Navier-Stokes equations. These models are cheaper t...

Identifying economically viable intervention measures to reduce COVID-19 transmission on aircraft is of critical importance especially as new SARS-CoV2 variants emerge. Computational fluid-particle dynamic simulations are employed to investigate aerosol transmission and intervention measures on a Boeing 737 cabin zone. The present study compares ae...

A Bayesian optimization framework is developed to optimize low-amplitude wall-normal blowing control of a turbulent boundary-layer flow. The Bayesian optimization framework determines the optimum blowing amplitude and blowing coverage to achieve up to a 5% net-power saving solution within 20 optimization iterations, requiring 20 direct numerical si...

A Bayesian Optimisation framework in conjunction with Direct Numerical Simulation (DNS) of spatially developing turbulent boundary layers (TBL) is used to study the potential of vertical wall blowing to reduce skin-friction drag but also to generate net-power saving. In order to obtain realistic values for the power needed to supply the wall blowin...

Direct Numerical Simulations in a turbulent channel flow at a moderate Reynolds number are performed in order to investigate the potential of Dielectric Barrier Discharge (DBD) plasma actuators for the reduction of the skin-friction drag. The idea is to use a sparse array of streamwise-aligned plasma actuators to produce near-wall spanwise-orientat...