UK Turbulence Consortium
Lead Research Organisation:
Imperial College London
Department Name: Aeronautics
Abstract
Understanding, predicting and controlling turbulent flows is of central importance and a limiting factor to a vast range of industries: naval, aeronautical, automotive, power generation, process, pharmaceutical, meteorological and environmental. Our view is that the key to advances in turbulence is by sustaining and stimulating interaction among researchers. It is essential that a diverse range of viewpoints, opinions, strategies and methods are brought together in an efficient and constructive manner. The essence of the consortium is to provide the central core of a needed critical mass activity considering the big challenges posed by turbulence.
The consortium brings together complementary expertise/experience/knowledge and coordinate activities to look at coherent, rational and strategic ways of understanding, predicting and controlling turbulent flows using High Performance Computing. The consortium is crucial for the UK in order to coordinate, augment and unify the research efforts of its participants and to communicate its expertise and findings to a wider audience. Firstly funded in 1995, the UKTC has been through five highly successful iterations. It has seen significant growth since its inception, from 5 original members to 46 members over 21 UK institutions for the present bid, and is continuously receiving requests from academics to join (20 new members for the present bid). In the last 22 years, the UKTC has (i)
demonstrated its ability to convert access to national High-End Computing (HEC) resources into internationally leading research (hundreds published papers since 1995 with thousands non-self citations), (ii) established its international competiveness, (iii) helped its members to leverage and secure multi -million £ grants from governmental funding bodies and industries, (iv) allowed the discovery of new fluid flow phenomena which have led to new ways of improving beneficial effects and reducing negative effects of turbulent flows and (v) facilitated the design of more sophisticated turbulence models redefining industry standards.
The member of the consortium are (in alphabetic order): Pavlos Aleiferis (Imperial College London); Eldad Avital (Queen Mary London); Angela Busse (University of Glasgow); Yongmann Chung (University of Warwick); Dimitris Drikakis (University of Strathclyde); David Emerson (Daresbury Lab); Jian Fang (Daresbury Lab); Gerard Gorman (Imperial College London); Shuishen He (University of Sheffield); Yongyun Hwang (Imperial College London); Richard Jefferson-Loveday (University of Nottingham); Xi Jiang (Queen Mary London); Robert Kerr (University of Warwick); Jae-Wook Kim (University of Southampton); Sylvain Laizet (Imperial College London); Michael A. Leschziner (Imperial College London); Kai Luo (University College London); Xuerui Mao (University of Nottingham); Olaf Marxen (University of Surrey); Joanne Mason (University of Exeter); Aimee S. Morgans (Imperial College London); Charles Moulinec (Daresbury Lab); Gary Page (Loughborough University); George Papadakis (Imperial College London); Matthew Piggott (Imperial College London); Alfredo Pinelli (City University London); Alistair Revell (University of Manchester); Pierre Ricco (University of Sheffield); Aldo Rona (University of Leicester); Neil Sandham (University of Southampton); Mark Savill (University of Cranfield); Peter Schmid (Imperial College London); Mehdi Seddighi (University of Liverpool); Spencer Sherwin (Imperial College London); John S. Shrimpton (University of Southampton); Vassilios Theofilis (University of Liverpool); Emile Touber (Imperial College London); Paul Tucker (University of Cambridge); Maarten van Reeuwijk (Imperial College London); J. Christos Vassilicos (Imperial College London); Peter Vincent (Imperial College London); Andy Wheeler (Univer-
sity of Cambridge); Beth Wingate (University of Exeter); Jun Xia (Brunel University London); Yufen Yao (University of Bristol).
The consortium brings together complementary expertise/experience/knowledge and coordinate activities to look at coherent, rational and strategic ways of understanding, predicting and controlling turbulent flows using High Performance Computing. The consortium is crucial for the UK in order to coordinate, augment and unify the research efforts of its participants and to communicate its expertise and findings to a wider audience. Firstly funded in 1995, the UKTC has been through five highly successful iterations. It has seen significant growth since its inception, from 5 original members to 46 members over 21 UK institutions for the present bid, and is continuously receiving requests from academics to join (20 new members for the present bid). In the last 22 years, the UKTC has (i)
demonstrated its ability to convert access to national High-End Computing (HEC) resources into internationally leading research (hundreds published papers since 1995 with thousands non-self citations), (ii) established its international competiveness, (iii) helped its members to leverage and secure multi -million £ grants from governmental funding bodies and industries, (iv) allowed the discovery of new fluid flow phenomena which have led to new ways of improving beneficial effects and reducing negative effects of turbulent flows and (v) facilitated the design of more sophisticated turbulence models redefining industry standards.
The member of the consortium are (in alphabetic order): Pavlos Aleiferis (Imperial College London); Eldad Avital (Queen Mary London); Angela Busse (University of Glasgow); Yongmann Chung (University of Warwick); Dimitris Drikakis (University of Strathclyde); David Emerson (Daresbury Lab); Jian Fang (Daresbury Lab); Gerard Gorman (Imperial College London); Shuishen He (University of Sheffield); Yongyun Hwang (Imperial College London); Richard Jefferson-Loveday (University of Nottingham); Xi Jiang (Queen Mary London); Robert Kerr (University of Warwick); Jae-Wook Kim (University of Southampton); Sylvain Laizet (Imperial College London); Michael A. Leschziner (Imperial College London); Kai Luo (University College London); Xuerui Mao (University of Nottingham); Olaf Marxen (University of Surrey); Joanne Mason (University of Exeter); Aimee S. Morgans (Imperial College London); Charles Moulinec (Daresbury Lab); Gary Page (Loughborough University); George Papadakis (Imperial College London); Matthew Piggott (Imperial College London); Alfredo Pinelli (City University London); Alistair Revell (University of Manchester); Pierre Ricco (University of Sheffield); Aldo Rona (University of Leicester); Neil Sandham (University of Southampton); Mark Savill (University of Cranfield); Peter Schmid (Imperial College London); Mehdi Seddighi (University of Liverpool); Spencer Sherwin (Imperial College London); John S. Shrimpton (University of Southampton); Vassilios Theofilis (University of Liverpool); Emile Touber (Imperial College London); Paul Tucker (University of Cambridge); Maarten van Reeuwijk (Imperial College London); J. Christos Vassilicos (Imperial College London); Peter Vincent (Imperial College London); Andy Wheeler (Univer-
sity of Cambridge); Beth Wingate (University of Exeter); Jun Xia (Brunel University London); Yufen Yao (University of Bristol).
Planned Impact
The research to be carried out in the UK turbulence consortium is relevant to the transportation, energy supply/genera on, biomedical and process sectors in the UK and the world. In addition to creating new knowledge and training for the next genera on of engineers and scientists, the research carried out in this HEC consortium will deliver benefits to the economy and allow us to realize our societal goals.
Despite being the largest contributors to harmful emissions, the transportation, energy genera on/supply and process sectors are experiencing unprecedented growth around the world. For example, it is estimated that more than 29, 000 new large civil airliners, 24, 000 business jets, 5, 800 regional aircraft and 40,000 helicopters will be required worldwide in 2032 to deal with the constant increase of worldwide air traffic. It is predicated that by 2025 there will be more than 16 billion passengers per year worldwide. The UK is directly concerned by this challenge as it is the second biggest national aerospace industry in the world, with a 17% global market share for a turnover of more than £20 billion every year, sustaining more than 200,000 jobs. Aviation will need to find ways to meet this impressive growing demand whilst reducing its environmental impact - specifically the noise levels and carbon emissions. This can only be achieve with be er understanding of the overarching subject of turbulence. Many of our members, with AIRBUS and the US Air Force, are currently working on drag reduction techniques for airplanes, high-speed trains, automotive vehicles and over the hulls
of ships and submarines. Even a 1% reduction in drag can save at least 25,000 gallons of fuel per year per aircraft . Worldwide, this reduction could translate to fuel savings of more than $1 billion per year. The resulting reduction in emissions into the air is equally as impressive. Those projects will have a significant impact in our quest towards a greener future.
Since the mid-1990s, Computational Fluid Dynamics (CFD) has been integrated into industrial design and engineering processes, playing a decisive role in improving the quality and efficiency of complex products and significantly reducing the me to market. HEC has enabled simulations at a higher level of precision and complexity, significantly impacting new areas of research. CFD is now recognised as a driver of economic growth and societal well-being and is vital for maintaining international competitiveness. The UK has a long history in Europe of developing cutting-edge applications dedicated to CFD. Because of the rapid evolution of the enabling technologies and the expanding range of applications demand, the UK needs to support and encourage this consortium, which can produce new knowledge, help to design innovative products and reduce cost and me of their implementation in real life applications. A striking example is the recent purchase by our project partner Siemens of the CFD software company CD-Adapco for $970M which clearly shows that better turbulence models that can improve engineering design for a great range of applications are crucially needed by industries. Siemens believes that work within UKTC constitutes a very important contribution to developing knowledge of turbulence and therefore new avenues for modelling turbulence in a very wide range of engineering applications. As project partner, Siemens will have first-hand access to any information, understanding or guidance from our fundamental DNS/LES research that can filter into their commercial CFD software. Rolls-Royce, heavily involved with several members of the consortium, believes that the consortium is crucial to gain insights into turbulence physics and has enabled them to better understand limitations of their current CFD approaches and how to devise improvement strategies to take a competitive lead. This interest is shared by an F1 team who is pushing to embrace leading edge simulation techniques.
Despite being the largest contributors to harmful emissions, the transportation, energy genera on/supply and process sectors are experiencing unprecedented growth around the world. For example, it is estimated that more than 29, 000 new large civil airliners, 24, 000 business jets, 5, 800 regional aircraft and 40,000 helicopters will be required worldwide in 2032 to deal with the constant increase of worldwide air traffic. It is predicated that by 2025 there will be more than 16 billion passengers per year worldwide. The UK is directly concerned by this challenge as it is the second biggest national aerospace industry in the world, with a 17% global market share for a turnover of more than £20 billion every year, sustaining more than 200,000 jobs. Aviation will need to find ways to meet this impressive growing demand whilst reducing its environmental impact - specifically the noise levels and carbon emissions. This can only be achieve with be er understanding of the overarching subject of turbulence. Many of our members, with AIRBUS and the US Air Force, are currently working on drag reduction techniques for airplanes, high-speed trains, automotive vehicles and over the hulls
of ships and submarines. Even a 1% reduction in drag can save at least 25,000 gallons of fuel per year per aircraft . Worldwide, this reduction could translate to fuel savings of more than $1 billion per year. The resulting reduction in emissions into the air is equally as impressive. Those projects will have a significant impact in our quest towards a greener future.
Since the mid-1990s, Computational Fluid Dynamics (CFD) has been integrated into industrial design and engineering processes, playing a decisive role in improving the quality and efficiency of complex products and significantly reducing the me to market. HEC has enabled simulations at a higher level of precision and complexity, significantly impacting new areas of research. CFD is now recognised as a driver of economic growth and societal well-being and is vital for maintaining international competitiveness. The UK has a long history in Europe of developing cutting-edge applications dedicated to CFD. Because of the rapid evolution of the enabling technologies and the expanding range of applications demand, the UK needs to support and encourage this consortium, which can produce new knowledge, help to design innovative products and reduce cost and me of their implementation in real life applications. A striking example is the recent purchase by our project partner Siemens of the CFD software company CD-Adapco for $970M which clearly shows that better turbulence models that can improve engineering design for a great range of applications are crucially needed by industries. Siemens believes that work within UKTC constitutes a very important contribution to developing knowledge of turbulence and therefore new avenues for modelling turbulence in a very wide range of engineering applications. As project partner, Siemens will have first-hand access to any information, understanding or guidance from our fundamental DNS/LES research that can filter into their commercial CFD software. Rolls-Royce, heavily involved with several members of the consortium, believes that the consortium is crucial to gain insights into turbulence physics and has enabled them to better understand limitations of their current CFD approaches and how to devise improvement strategies to take a competitive lead. This interest is shared by an F1 team who is pushing to embrace leading edge simulation techniques.
Organisations
- Imperial College London (Lead Research Organisation)
- Petrobras Brazil (Collaboration)
- MBDA Missile Systems (Collaboration)
- BAE Systems (Collaboration)
- EDF Energy (Collaboration)
- Rolls Royce Group Plc (Collaboration)
- Airbus Group (Collaboration)
- National Grid UK (Collaboration)
- Siemens Industry Software (Collaboration)
- Siemens plc (UK) (Project Partner)
Publications
A.S.F. Silva P
(2022)
Numerical investigation of full helicopter with and without the ground effect
in Aerospace Science and Technology
Agostini L
(2019)
On the departure of near-wall turbulence from the quasi-steady state
in Journal of Fluid Mechanics
Agostini L
(2019)
The connection between the spectrum of turbulent scales and the skin-friction statistics in channel flow at
in Journal of Fluid Mechanics
Ahmed D
(2022)
Nonlinear feedback control of bimodality in the wake of a three-dimensional bluff body
in Physical Review Fluids
Alves Portela F
(2021)
Numerical study of Fourier-filtered rough surfaces
in Physical Review Fluids
Alves Portela F
(2020)
A DNS/URANS approach for simulating rough-wall turbulent flows
in International Journal of Heat and Fluid Flow
Alves Portela F
(2021)
Numerical study of Fourier-filtered rough surfaces
in Physical Review Fluids
Angelino M
(2020)
Influence of grid resolution on the spectral characteristics of noise radiated from turbulent jets: Sound pressure fields and their decomposition
in Computers & Fluids
Antoniadis A
(2022)
UCNS3D: An open-source high-order finite-volume unstructured CFD solver
in Computer Physics Communications
| Description | Understanding, predicting and controlling turbulent flows is of central importance and a limiting factor to a vast range of industries: naval, aeronautical, automotive, power generation, process, pharmaceutical, meteorological and environmental. Simulating and understanding turbulent flows to manipulate them at our advantage is one of the most challenging problems in science. Many of the environmental and energy-related issues we face today cannot possibly be tackled without a be er understanding of turbulence. --> development of state-of-the-art flow solvers --> networking activities for better engagement with industries and to promote collaboration --> design of new turbulence models for industries --> getting ready for the exascale era, via the CCP Turbulence and the ExCALIBUR project |
| Exploitation Route | Scientists can used our software and data for their own research Industries can contact the UK Turbulence Members for collaborations |
| Sectors | Aerospace Defence and Marine Education Energy Environment Transport |
| URL | https://twitter.com/ukturbulence |
| Description | FIA |
| Geographic Reach | Multiple continents/international |
| Policy Influence Type | Participation in a guidance/advisory committee |
| Description | CCP Turbulence |
| Amount | £263,363 (GBP) |
| Funding ID | EP/T026170/1 |
| Organisation | Engineering and Physical Sciences Research Council (EPSRC) |
| Sector | Public |
| Country | United Kingdom |
| Start | 03/2020 |
| End | 02/2025 |
| Description | Turbulence at the exascale: application to wind energy, green aviation, air quality and net-zero combustion |
| Amount | £2,670,328 (GBP) |
| Funding ID | EP/W026686/1 |
| Organisation | Engineering and Physical Sciences Research Council (EPSRC) |
| Sector | Public |
| Country | United Kingdom |
| Start | 12/2021 |
| End | 11/2025 |
| Description | Turbulent Flow Simulations at the Exascale: Application to Wind Energy and Green Aviation |
| Amount | £254,329 (GBP) |
| Funding ID | EP/V000942/1 |
| Organisation | Engineering and Physical Sciences Research Council (EPSRC) |
| Sector | Public |
| Country | United Kingdom |
| Start | 08/2020 |
| End | 06/2022 |
| Title | DNS of a counter-flow channel configuration |
| Description | Mean flow and turbulence statistics of a compressible turbulent counter-flow channel configuration. This dataset is based on direct numerical simulations conducted using OpenSBLI (https://opensbli.github.io/), a Python-based automatic source code generation and parallel computing framework for finite difference discretisation. #============================================================================================== # Please cite the following paper when publishing using this dataset: # Title: Direct numerical simulation of compressible turbulence in a counter-flow channel configuration # Authors: Arash Hamzehloo, David Lusher, Sylvain Laizet and Neil Sandham # Journal: Physical Review Fluids # DOI: https://doi.org/10.1103/PhysRevFluids.6.094603 # ============================================================================================== Please note: Tables 1 and 2 of the above paper provide more detailed information on the counter-flow channels of this dataset. Each folder name of this dataset includes the Mach number, Reynolds number, domain size and grid resolution of a particular case, respectively. In each file, the first column contains the grid-point coordinates in the wall-normal direction (\(y\)) with the channel centreline located at \(y=0\). The mean stresses are defined as \(\langle u_i^{\prime}u_j^{\prime}\rangle=\langle u_i u_j \rangle - \langle u_i \rangle \langle u_j \rangle \). Angle brackets denote averages over the homogeneous spatial directions (streamwise \(x\) and spanwise \(z\)) and time. The Favre average is related to the Reynolds average as \(\langle \rho \rangle \{u_i^{\prime\prime}u_j^{\prime\prime}\}=\langle \rho u_i u_j \rangle - \langle \rho \rangle \langle u_i \rangle \langle u_j \rangle\). The mean Mach number is defined as \(\langle M \rangle = {\sqrt{\langle u \rangle^2+\langle v \rangle^2+\langle w \rangle^2}}/{{\langle a \rangle}}\) where \(a\) is the local speed of sound. The turbulent Mach number is defined as \(M_t = {\sqrt{\langle u^{\prime}u^{\prime} \rangle+\langle v^{\prime}v^{\prime} \rangle+\langle w^{\prime}w^{\prime} \rangle}}/{{\langle a \rangle}}\). # ============================================================================================== Details of the OpenSBLI framework, its numerical methodology and existing flow configurations can be found in the following papers: OpenSBLI: Automated code-generation for heterogeneous computing architectures applied to compressible fluid dynamics on structured grids. (link) OpenSBLI: A framework for the automated derivation and parallel execution of finite difference solvers on a range of computer architectures. (link) On the performance of WENO/TENO schemes to resolve turbulence in DNS/LES of high-speed compressible flows. (link) |
| Type Of Material | Database/Collection of data |
| Year Produced | 2021 |
| Provided To Others? | Yes |
| URL | https://zenodo.org/record/4635349 |
| Title | DNS of a counter-flow channel configuration |
| Description | Mean flow and turbulence statistics of a compressible turbulent counter-flow channel configuration. This dataset is based on direct numerical simulations conducted using OpenSBLI (https://opensbli.github.io/), a Python-based automatic source code generation and parallel computing framework for finite difference discretisation. #============================================================================================== # Please cite the following paper when publishing using this dataset: # Title: Direct numerical simulation of compressible turbulence in a counter-flow channel configuration # Authors: Arash Hamzehloo, David Lusher, Sylvain Laizet and Neil Sandham # Journal: Physical Review Fluids # DOI: https://doi.org/10.1103/PhysRevFluids.6.094603 # ============================================================================================== Please note: Tables 1 and 2 of the above paper provide more detailed information on the counter-flow channels of this dataset. Each folder name of this dataset includes the Mach number, Reynolds number, domain size and grid resolution of a particular case, respectively. In each file, the first column contains the grid-point coordinates in the wall-normal direction (\(y\)) with the channel centreline located at \(y=0\). The mean stresses are defined as \(\langle u_i^{\prime}u_j^{\prime}\rangle=\langle u_i u_j \rangle - \langle u_i \rangle \langle u_j \rangle \). Angle brackets denote averages over the homogeneous spatial directions (streamwise \(x\) and spanwise \(z\)) and time. The Favre average is related to the Reynolds average as \(\langle \rho \rangle \{u_i^{\prime\prime}u_j^{\prime\prime}\}=\langle \rho u_i u_j \rangle - \langle \rho \rangle \langle u_i \rangle \langle u_j \rangle\). The mean Mach number is defined as \(\langle M \rangle = {\sqrt{\langle u \rangle^2+\langle v \rangle^2+\langle w \rangle^2}}/{{\langle a \rangle}}\) where \(a\) is the local speed of sound. The turbulent Mach number is defined as \(M_t = {\sqrt{\langle u^{\prime}u^{\prime} \rangle+\langle v^{\prime}v^{\prime} \rangle+\langle w^{\prime}w^{\prime} \rangle}}/{{\langle a \rangle}}\). # ============================================================================================== Details of the OpenSBLI framework, its numerical methodology and existing flow configurations can be found in the following papers: OpenSBLI: Automated code-generation for heterogeneous computing architectures applied to compressible fluid dynamics on structured grids. (link) OpenSBLI: A framework for the automated derivation and parallel execution of finite difference solvers on a range of computer architectures. (link) On the performance of WENO/TENO schemes to resolve turbulence in DNS/LES of high-speed compressible flows. (link) |
| Type Of Material | Database/Collection of data |
| Year Produced | 2021 |
| Provided To Others? | Yes |
| URL | https://zenodo.org/record/4635348 |
| Title | DNS of incompressible immiscible Rayleigh-Taylor instabilities |
| Description | Coordinates (\(y\)) of the spike, bubble and saddle point and also interface area in 2D and 3D, single-mode and multi-mode, incompressible immiscible Rayleigh-Taylor instabilities with different Atwood numbers (\(At\)), Reynolds numbers (\(Re\)) and initial perturbation amplitudes (\(A\)). This dataset is based on direct numerical simulations conducted using a phase-field approach implemented within Xcompact3d (https://www.incompact3d.com/), a high-order finite-difference computational fluid dynamics framework. #============================================================================================== # Please cite the following paper when publishing using this dataset: # Title: Direct numerical simulations of incompressible Rayleigh-Taylor instabilities at low and medium Atwood numbers # Authors: Arash Hamzehloo, Paul Bartholomew and Sylvain Laizet # Journal: # DOI: # ============================================================================================== Please note: The 2D single-mode simulations are for a \([0,1]\times[0,4]\) domain with a \(129\times513\) grid size. The 3D single-mode simulations are for a \([0,1]\times[0,4]\times[0.1]\) domain with a \(129\times513\times129\) grid size. The 3D multi-mode simulation is for a \([0,\pi]\times[0,3\pi]\times[0,\pi]\) domain with a \(201\times601\times201\) grid size. In all files, column #1 is the time interval. If it is multiplied by 0.25 then gives: \(t^{\ast}= {t\sqrt{At}}\). For the single-mode simulations, the relative coordinate (\(y^{\ast}\)) provided in the reference paper is \(y^{\ast}=y-2\). For the 2D single-mode simulations, the interface is initially located at: \(y_0=2+0.1 \cos(2\pi x)\). For the 3D single-mode simulations, the interface is initially located at; \(y_0=2+A \Bigg[\cos(2\pi x) + \cos(2\pi z) \Bigg]\). For the 3D multi-mode simulation, the interfaces is initially located at: \(y_0=3\pi/2\) and the vertical component of the velocity vector is initialised as: \(u_2=A \beta \Bigg[ 1 + \cos(2\pi x) \Bigg]\), where \(\beta\) is a random number from -1 to 1. # ============================================================================================== Details of the Xcompact3d framework and its numerical methodology can be found in the following papers: Xcompact3D: An open-source framework for solving turbulence problems on a Cartesian mesh. (link) A new highly scalable, high-order accurate framework for variable-density flows: Application to non-Boussinesq gravity currents. (link) High-order compact schemes for incompressible flows: A simple and efficient method with quasi-spectral accuracy. (link) |
| Type Of Material | Database/Collection of data |
| Year Produced | 2021 |
| Provided To Others? | Yes |
| URL | https://zenodo.org/record/4587959 |
| Title | DNS of incompressible immiscible Rayleigh-Taylor instabilities |
| Description | Coordinates (\(y\)) of the spike, bubble and saddle point and also interface area in 2D and 3D, single-mode and multi-mode, incompressible immiscible Rayleigh-Taylor instabilities with different Atwood numbers (\(At\)), Reynolds numbers (\(Re\)) and initial perturbation amplitudes (\(A\)). This dataset is based on direct numerical simulations conducted using a phase-field approach implemented within Xcompact3d (https://www.incompact3d.com/), a high-order finite-difference computational fluid dynamics framework. #============================================================================================== # Please cite the following paper when publishing using this dataset: # Title: Direct numerical simulations of incompressible Rayleigh-Taylor instabilities at low and medium Atwood numbers # Authors: Arash Hamzehloo, Paul Bartholomew and Sylvain Laizet # Journal: Physics of Fluids # DOI: https://doi.org/10.1063/5.0049867 # ============================================================================================== Please note: The 2D single-mode simulations are for a \([0,1]\times[0,4]\) domain with a \(129\times513\) grid size. The 3D single-mode simulations are for a \([0,1]\times[0,4]\times[0.1]\) domain with a \(129\times513\times129\) grid size. The 3D multi-mode simulations are for a \([0,\pi /2 ] \times [0,3\pi ]\times [0,\pi /2 ]\) domain on three grid sizes of \(301\times1801\times301\), \(401\times2401\times401\) and \(501\times 3001\times 501\). In all files, column #1 is the time interval. If it is multiplied by 0.25 then gives: \(t^{\ast}= {t\sqrt{At}}\). For the single-mode simulations, the relative coordinate (\(y^{\ast}\)) provided in the reference paper is \(y^{\ast}=y-2\). For the 2D single-mode simulations, the interface is initially located at: \(y_0=2+0.1 \cos(2\pi x)\). For the 3D single-mode simulations, the interface is initially located at; \(y_0=2+A \Bigg[\cos(2\pi x) + \cos(2\pi z) \Bigg]\). For the 3D multi-mode simulation, the interfaces is initially located at: \(y_0=3\pi/2\) and the vertical component of the velocity vector is initialised as: \(u_2=A \beta \Bigg[ 1 + \cos(2\pi x) \Bigg]\), where \(\beta\) is a random number from -1 to 1. For the 3D multi-mode simulation, the Kinetic Energy (KE) and Potential Energy (PE) are defined as \(\displaystyle KE=1/2\int_{\Omega}^{} (u_1^2+u_2^2+u_3^2) \,d \Omega\) and \(\displaystyle PE=\int_{\Omega}^{} \rho(x_1,x_2,x_3,t) x_2 \,d \Omega\), respectively. Here, \(\Omega\) denotes the computational domain volume. # ============================================================================================== Details of the Xcompact3d framework and its numerical methodology can be found in the following papers: Xcompact3D: An open-source framework for solving turbulence problems on a Cartesian mesh. (link) A new highly scalable, high-order accurate framework for variable-density flows: Application to non-Boussinesq gravity currents. (link) High-order compact schemes for incompressible flows: A simple and efficient method with quasi-spectral accuracy. (link) |
| Type Of Material | Database/Collection of data |
| Year Produced | 2021 |
| Provided To Others? | Yes |
| URL | https://zenodo.org/record/4587958 |
| Title | DNS of incompressible immiscible Rayleigh-Taylor instabilities |
| Description | Coordinates (\(y\)) of the spike, bubble and saddle point and also interface area in 2D and 3D, single-mode and multi-mode, incompressible immiscible Rayleigh-Taylor instabilities with different Atwood numbers (\(At\)), Reynolds numbers (\(Re\)) and initial perturbation amplitudes (\(A\)). This dataset is based on direct numerical simulations conducted using a phase-field approach implemented within Xcompact3d (https://www.incompact3d.com/), a high-order finite-difference computational fluid dynamics framework. #============================================================================================== # Please cite the following paper when publishing using this dataset: # Title: Direct numerical simulations of incompressible Rayleigh-Taylor instabilities at low and medium Atwood numbers # Authors: Arash Hamzehloo, Paul Bartholomew and Sylvain Laizet # Journal: Physics of Fluids # DOI: https://doi.org/10.1063/5.0049867 # ============================================================================================== Please note: The 2D single-mode simulations are for a \([0,1]\times[0,4]\) domain with a \(129\times513\) grid size. The 3D single-mode simulations are for a \([0,1]\times[0,4]\times[0.1]\) domain with a \(129\times513\times129\) grid size. The 3D multi-mode simulations are for a \([0,\pi /2 ] \times [0,3\pi ]\times [0,\pi /2 ]\) domain on three grid sizes of \(301\times1801\times301\), \(401\times2401\times401\) and \(501\times 3001\times 501\). In all files, column #1 is the time interval. If it is multiplied by 0.25 then gives: \(t^{\ast}= {t\sqrt{At}}\). For the single-mode simulations, the relative coordinate (\(y^{\ast}\)) provided in the reference paper is \(y^{\ast}=y-2\). For the 2D single-mode simulations, the interface is initially located at: \(y_0=2+0.1 \cos(2\pi x)\). For the 3D single-mode simulations, the interface is initially located at; \(y_0=2+A \Bigg[\cos(2\pi x) + \cos(2\pi z) \Bigg]\). For the 3D multi-mode simulation, the interfaces is initially located at: \(y_0=3\pi/2\) and the vertical component of the velocity vector is initialised as: \(u_2=A \beta \Bigg[ 1 + \cos(2\pi x) \Bigg]\), where \(\beta\) is a random number from -1 to 1. For the 3D multi-mode simulation, the Kinetic Energy (KE) and Potential Energy (PE) are defined as \(\displaystyle KE=1/2\int_{\Omega}^{} (u_1^2+u_2^2+u_3^2) \,d \Omega\) and \(\displaystyle PE=\int_{\Omega}^{} \rho(x_1,x_2,x_3,t) x_2 \,d \Omega\), respectively. Here, \(\Omega\) denotes the computational domain volume. # ============================================================================================== Details of the Xcompact3d framework and its numerical methodology can be found in the following papers: Xcompact3D: An open-source framework for solving turbulence problems on a Cartesian mesh. (link) A new highly scalable, high-order accurate framework for variable-density flows: Application to non-Boussinesq gravity currents. (link) High-order compact schemes for incompressible flows: A simple and efficient method with quasi-spectral accuracy. (link) |
| Type Of Material | Database/Collection of data |
| Year Produced | 2021 |
| Provided To Others? | Yes |
| URL | https://zenodo.org/record/4722736 |
| Title | Data and scripts for reproducing "Optimisation and Analysis of Streamwise-Varying Wall-Normal Blowing in a Turbulent Boundary Layer" |
| Description | This is the accompanying data and Python scripts to reproduce the figures in "Optimisation and Analysis of Streamwise-Varying Wall-Normal Blowing in a Turbulent Boundary Layer", submitted to Flow, Turbulence and Combustion. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2023 |
| Provided To Others? | Yes |
| URL | https://zenodo.org/record/7687850 |
| Title | Data and scripts for reproducing "Optimisation and Analysis of Streamwise-Varying Wall-Normal Blowing in a Turbulent Boundary Layer" |
| Description | This is the accompanying data and Python scripts to reproduce the figures in "Optimisation and Analysis of Streamwise-Varying Wall-Normal Blowing in a Turbulent Boundary Layer", submitted to Flow, Turbulence and Combustion. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2023 |
| Provided To Others? | Yes |
| URL | https://zenodo.org/record/7687849 |
| Title | Data supporting 'Numerical Investigation of full helicopter with and without the ground effect' |
| Description | In the present work, the aerodynamic performance of the full helicopter PSP in hover flight is investigated using a simplified concept of multiple reference frame (MRF) technique in the context of high-order Monotone Upstream Centred Scheme for Conservation Laws (MUSCL) cell-centred finite volume method. The predictions were obtained for two ground distances and several collective pitch angle at tip Mach number of 0.585. The calculations were made for both out-of-ground-effect (OGE) and in-ground-effect (IGE) cases and compared with experimental data in terms of pressure distribution and integrated thrust and torque and vortex system. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2022 |
| Provided To Others? | Yes |
| URL | https://cord.cranfield.ac.uk/articles/dataset/Data_supporting_Numerical_Investigation_of_full_helico... |
| Title | Data supporting: 'A relaxed a posteriori MOOD algorithm for multicomponent compressible flows using high-order finite-volume methods on unstructured meshes' |
| Description | This dataset contained the simulation results for the following test problems presented in the relevant article: 1) 2D helium bubble shock wave interaction 2) 2D bubble array interaction with shock wave 3) 2D air-water cavity interaction with shock wave 4) 3D interaction of bubble array with shock wave 5) 2D Underwater explosion |
| Type Of Material | Database/Collection of data |
| Year Produced | 2022 |
| Provided To Others? | Yes |
| URL | https://cord.cranfield.ac.uk/articles/dataset/Multiphysics_MOOD_data/20238981/2 |
| Title | Data supporting: 'A short note on a 3D spectral analysis for turbulent flows on unstructured meshes' |
| Description | This compressed file includes the following folders: POST_X: directory with the FFT from all the simulations postprocessed with the fortran interpolator SPECTRA FORTRAN INTERPOLATOR: A simple fortran program to interpolate data sets from unstructured meshes to the auxiliarry structured mesh (ASM) TECPLOT_LAYOUTS_DATA: All the tecplot layouts and datasets used for the images in the article. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2022 |
| Provided To Others? | Yes |
| URL | https://cord.cranfield.ac.uk/articles/dataset/Data_supporting_A_short_note_on_a_3D_spectral_analysis... |
| Title | Data supporting: 'A short note on a 3D spectral analysis for turbulent flows on unstructured meshes' |
| Description | This compressed file includes the following folders: POST_X: directory with the FFT from all the simulations postprocessed with the fortran interpolator SPECTRA FORTRAN INTERPOLATOR: A simple fortran program to interpolate data sets from unstructured meshes to the auxiliarry structured mesh (ASM) TECPLOT_LAYOUTS_DATA: All the tecplot layouts and datasets used for the images in the article. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2022 |
| Provided To Others? | Yes |
| URL | https://cord.cranfield.ac.uk/articles/dataset/Data_supporting_A_short_note_on_a_3D_spectral_analysis... |
| Title | Data supporting: 'Hybrid discontinuous Galerkin-finite volume techniques for compressible flows on unstructured meshes' |
| Description | This dataset includes the following test problems binary outputs in tecplot format: Sonic Boom Schardin TGV-Subsonic TGV-Supersonic RUNS_2D |
| Type Of Material | Database/Collection of data |
| Year Produced | 2022 |
| Provided To Others? | Yes |
| URL | https://cord.cranfield.ac.uk/articles/dataset/Data_supporting_Hybrid_discontinuous_Galerkin-finite_v... |
| Title | Data supporting: 'Hybrid discontinuous Galerkin-finite volume techniques for compressible flows on unstructured meshes' |
| Description | This dataset includes the following test problems binary outputs in tecplot format: Sonic Boom Schardin TGV-Subsonic TGV-Supersonic RUNS_2D |
| Type Of Material | Database/Collection of data |
| Year Produced | 2022 |
| Provided To Others? | Yes |
| URL | https://cord.cranfield.ac.uk/articles/dataset/Data_supporting_Hybrid_discontinuous_Galerkin-finite_v... |
| Title | Database UK Turbulence Consortium |
| Description | Collection of databased generated by UK Turbulence Consortium members. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2019 |
| Provided To Others? | No |
| Impact | Data used by various research group worldwide |
| URL | https://www.ukturbulence.co.uk/database.html |
| Title | Multiphysics MOOD data |
| Description | This dataset contained the simulation results for the following test problems presented in the relevant article: 1) 2D helium bubble shock wave interaction 2) 2D bubble array interaction with shock wave 3) 2D air-water cavity interaction with shock wave 4) 3D interaction of bubble array with shock wave 5) 2D Underwater explosion |
| Type Of Material | Database/Collection of data |
| Year Produced | 2022 |
| Provided To Others? | Yes |
| URL | https://cord.cranfield.ac.uk/articles/dataset/Multiphysics_MOOD_data/20238981/1 |
| Title | Multiphysics MOOD data |
| Description | This dataset contained the simulation results for the following test problems presented in the relevant article: 1) 2D helium bubble shock wave interaction 2) 2D bubble array interaction with shock wave 3) 2D air-water cavity interaction with shock wave 4) 3D interaction of bubble array with shock wave 5) 2D Underwater explosion |
| Type Of Material | Database/Collection of data |
| Year Produced | 2022 |
| Provided To Others? | Yes |
| URL | https://cord.cranfield.ac.uk/articles/dataset/Multiphysics_MOOD_data/20238981 |
| Description | Airbus |
| Organisation | Airbus Group |
| Country | France |
| Sector | Academic/University |
| PI Contribution | City University London: collaboration with AIRBUS to study the characterisation of swept wings in transitional and turbulent regimes and the introduction of large scale vortex generators to control separation at high loading. |
| Collaborator Contribution | City University London: collaboration with AIRBUS to study the characterisation of swept wings in transitional and turbulent regimes and the introduction of large scale vortex generators to control separation at high loading. |
| Impact | See list of publications |
| Start Year | 2019 |
| Description | BAE Systems |
| Organisation | BAE Systems |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | University of Cranfield: project aiming to investigate the reproducibility of turbulent structures in a forced flat plate boundary layer, under a controlled level of uncertainty. Imperial College London: development of state-of-the-art flow solvers based on high-order methods |
| Collaborator Contribution | University of Cranfield: project aiming to investigate the reproducibility of turbulent structures in a forced flat plate boundary layer, under a controlled level of uncertainty. Imperial College London: development of state-of-the-art flow solvers based on high-order methods |
| Impact | See list of publications |
| Start Year | 2019 |
| Description | EDF Energy |
| Organisation | EDF Energy |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | University of Sheffield: collaboration with EDF Energy to study natural convection in an enclosed rod bundle and for the modelling of the cooling of Advanced Gas-cooled Reactors (AGR) fuel in low flow scenarios encountered during refuelling. |
| Collaborator Contribution | University of Sheffield: collaboration with EDF Energy to study natural convection in an enclosed rod bundle and for the modelling of the cooling of Advanced Gas-cooled Reactors (AGR) fuel in low flow scenarios encountered during refuelling. |
| Impact | See list of publications |
| Start Year | 2019 |
| Description | MBDA UK |
| Organisation | MBDA Missile Systems |
| Department | MBDA UK Ltd |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | University of Southampton: collcaboration with MBDA UK. The project is considering shock-wave/boundary-layer interactions with side walls. The project has developed a compressible form of an inflow condition based on an efficient forward stepping approach and validated this for square duct flows. Further work is continuing to explore shock interaction and the validation of WENO/TENO numerical schemes for the problems of interest. |
| Collaborator Contribution | University of Southampton: collcaboration with MBDA UK. The project is considering shock-wave/boundary-layer interactions with side walls. The project has developed a compressible form of an inflow condition based on an efficient forward stepping approach and validated this for square duct flows. Further work is continuing to explore shock interaction and the validation of WENO/TENO numerical schemes for the problems of interest. |
| Impact | See list of publications |
| Start Year | 2019 |
| Description | National Grid Gas |
| Organisation | National Grid UK |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | University of Manchester: development of embedded large eddy simulation for National Grid Gas distribution networks |
| Collaborator Contribution | University of Manchester: development of embedded large eddy simulation for National Grid Gas distribution networks |
| Impact | See list of publications |
| Start Year | 2019 |
| Description | PETROBRAS |
| Organisation | Petrobras Brazil |
| Country | Brazil |
| Sector | Private |
| PI Contribution | Imperial College London: Collaboration with the University of Porto Allegre and PETROBRAS, Brazil, in environmental turbulence. The project is related to turbidity currents in the formation of hydrocarbon reservoirs. |
| Collaborator Contribution | Imperial College London: Collaboration with the University of Porto Allegre and PETROBRAS, Brazil, in environmental turbulence. The project is related to turbidity currents in the formation of hydrocarbon reservoirs. |
| Impact | See list of publications |
| Start Year | 2019 |
| Description | Rolls-Royce |
| Organisation | Rolls Royce Group Plc |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | University of Cambridge: very intense collaboration with Rolls Royce on various projects related to improving the performance of engines: Targeting loss mechanisms using high-fidelity simulations (funding via EPSRC CDT in Gas Turbine Aerodynamics); Accurate loss prediction using high fidelity methods (funding via EPSRC CDT in Gas Turbine Aerodynamics); Velocity ratio effects on jet-aerofoil interaction; Large Eddy Simulation of Mach number effects on jet with a nearby surface; Large Eddy Simulation of compressible coaxial jets with and without flight streams and installation effects; Large Eddy Simulation of interference effects of leading edge instrumentation on turbine blades; Investigation of fan wake turbulence for broadband noise using Large Eddy Simulation; Interaction between the Separated Turbulent Shear Layer and Downstream Fan Using the Geometry Modelling Method. |
| Collaborator Contribution | University of Cambridge: very intense collaboration with Rolls Royce on various projects related to improving the performance of engines: Targeting loss mechanisms using high-fidelity simulations (funding via EPSRC CDT in Gas Turbine Aerodynamics); Accurate loss prediction using high fidelity methods (funding via EPSRC CDT in Gas Turbine Aerodynamics); Velocity ratio effects on jet-aerofoil interaction; Large Eddy Simulation of Mach number effects on jet with a nearby surface; Large Eddy Simulation of compressible coaxial jets with and without flight streams and installation effects; Large Eddy Simulation of interference effects of leading edge instrumentation on turbine blades; Investigation of fan wake turbulence for broadband noise using Large Eddy Simulation; Interaction between the Separated Turbulent Shear Layer and Downstream Fan Using the Geometry Modelling Method. |
| Impact | See list of publications |
| Start Year | 2019 |
| Description | SIEMENS SOFTWARE |
| Organisation | Siemens industry Software |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Imperial College London: development of state-of-the-art turbulence models |
| Collaborator Contribution | Imperial College London: development of state-of-the-art turbulence models |
| Impact | See list of publications |
| Start Year | 2019 |
| Title | Code_Saturne |
| Description | Code_Saturne is a multi-physics CFD open source software first developed by industry, and now widely spread in academia. It relies on the finite-volume method to discretise the equations up to 2nd order in space and time, and is suitable for LES in complex geometries, as its unstructured nature support sany type of cells. It is written in C, Fortran and Python is used to manage the simulations. MPI/OpenMP handle parallelisation, and the code has shown good performance on over 3 million threads on Argonne's Blue Gene/Q. |
| Type Of Technology | Software |
| Year Produced | 2019 |
| Open Source License? | Yes |
| Impact | See list of publications |
| URL | https://www.code-saturne.org |
| Title | Data from "Uncertainties in exposure predictions arising from point measurements of carbon dioxide in classroom environments" |
| Description | This repository holds data and codes to accompany the following publication: "Uncertainties in exposure predictions arising from point measurements of carbon dioxide in classroom environments" [doi to be updated]The SimulationSetup folder holds the OpenFOAM set up files for the 10 simulations run (5 set ups with different vent areas in two ventilation configurations (OE and SE) as described in Table 1). The PostProcessingScripts folder holds the Matlab scripts used to post process the simulation results and plot the figures shown in the article. The colourmaps are defined using brewermap [Stephen23 (2024). ColorBrewer: Attractive and Distinctive Colormaps (https://github.com/DrosteEffect/BrewerMap/releases/tag/3.2.5), GitHub. Retrieved June 26, 2024.]More details are available in the README.txt file. |
| Type Of Technology | Software |
| Year Produced | 2024 |
| Open Source License? | Yes |
| URL | https://orda.shef.ac.uk/articles/software/Data_from_Uncertainties_in_exposure_predictions_arising_fr... |
| Title | Data from "Uncertainties in exposure predictions arising from point measurements of carbon dioxide in classroom environments" |
| Description | This repository holds data and codes to accompany the following publication: "Uncertainties in exposure predictions arising from point measurements of carbon dioxide in classroom environments" [doi to be updated]The SimulationSetup folder holds the OpenFOAM set up files for the 10 simulations run (5 set ups with different vent areas in two ventilation configurations (OE and SE) as described in Table 1). The PostProcessingScripts folder holds the Matlab scripts used to post process the simulation results and plot the figures shown in the article. The colourmaps are defined using brewermap [Stephen23 (2024). ColorBrewer: Attractive and Distinctive Colormaps (https://github.com/DrosteEffect/BrewerMap/releases/tag/3.2.5), GitHub. Retrieved June 26, 2024.]More details are available in the README.txt file. |
| Type Of Technology | Software |
| Year Produced | 2024 |
| Open Source License? | Yes |
| URL | https://orda.shef.ac.uk/articles/software/Data_from_Uncertainties_in_exposure_predictions_arising_fr... |
| Title | Nektar++ |
| Description | Nektar++ is a tensor product based finite element package designed to allow one to construct efficient classical low polynomial order h-type solvers (where h is the size of the finite element) as well as higher p-order piecewise polynomial order solvers. Nektar++ is available in both a source-code distribution and as pre-compiled binary packages for a number of operating systems. |
| Type Of Technology | Software |
| Year Produced | 2019 |
| Open Source License? | Yes |
| Impact | See list of publications |
| URL | https://www.nektar.info/ |
| Title | OpenSBLI |
| Description | OpenSBLI is a Python-based modelling framework that is capable of expanding a set of differential equations written in Einstein notation, and automatically generating C code that performs the finite difference approximation to obtain a solution. This C code is then targetted with the OPS library towards specific hardware backends, such as MPI/OpenMP for execution on CPUs, and CUDA/OpenCL for execution on GPUs. The main focus of OpenSBLI is on the solution of the compressible Navier-Stokes equations with application to shock-boundary layer interactions (SBLI). However, in principle, any set of equations that can be written in Einstein notation may be solved. |
| Type Of Technology | Software |
| Year Produced | 2019 |
| Open Source License? | Yes |
| Impact | See list of publications |
| URL | https://opensbli.github.io/ |
| Title | Xcompact3d |
| Description | Xcompact3d is a Fortran-based framework of high-order finite-difference flow solvers dedicated to the study of turbulent flows. Dedicated to Direct and Large Eddy Simulations (DNS/LES) for which the largest turbulent scales are simulated, it can combine the versatility of industrial codes with the accuracy of spectral codes. Its user-friendliness, simplicity, versatility, accuracy, scalability, portability and efficiency makes it an attractive tool for the Computational Fluid Dynamics community. XCompact3d is currently able to solve the incompressible and low-Mach number variable density Navier-Stokes equations using sixth-order compact finite-difference schemes with a spectral-like accuracy on a monobloc Cartesian mesh. It was initially designed in France in the mid-90's for serial processors and later converted to HPC systems. It can now be used efficiently on hundreds of thousands CPU cores to investigate turbulence and heat transfer problems thanks to the open-source library 2DECOMP&FFT (a Fortran-based 2D pencil decomposition framework to support building large-scale parallel applications on distributed memory systems using MPI; the library has a Fast Fourier Transform module). When dealing with incompressible flows, the fractional step method used to advance the simulation in time requires to solve a Poisson equation. This equation is fully solved in spectral space via the use of relevant 3D Fast Fourier transforms (FFTs), allowing the use of any kind of boundary conditions for the velocity field. Using the concept of the modified wavenumber (to allow for operations in the spectral space to have the same accuracy as if they were performed in the physical space), the divergence free condition is ensured up to machine accuracy. The pressure field is staggered from the velocity field by half a mesh to avoid spurious oscillations created by the implicit finite-difference schemes. The modelling of a fixed or moving solid body inside the computational domain is performed with a customised Immersed Boundary Method. It is based on a direct forcing term in the Navier-Stokes equations to ensure a no-slip boundary condition at the wall of the solid body while imposing non-zero velocities inside the solid body to avoid discontinuities on the velocity field. This customised IBM, fully compatible with the 2D domain decomposition and with a possible mesh refinement at the wall, is based on a 1D expansion of the velocity field from fluid regions into solid regions using Lagrange polynomials or spline reconstructions. In order to reach high velocities in a context of LES, it is possible to customise the coefficients of the second derivative schemes (used for the viscous term) to add extra numerical dissipation in the simulation as a substitute of the missing dissipation from the small turbulent scales that are not resolved. Xcompact3d is currently being used by many research groups worldwide to study gravity currents, wall-bounded turbulence, wake and jet flows, wind farms and active flow control solutions to mitigate turbulence. |
| Type Of Technology | Software |
| Year Produced | 2019 |
| Open Source License? | Yes |
| Impact | see list of publications |
| URL | http://www.incompact3d.com |
| Description | Participation at Imperial Festival 2019 |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | Regional |
| Primary Audience | Public/other audiences |
| Results and Impact | Demonstration of the Shadowgraph experiments (how to see invisible air using advance optical techniques) during Imperial Festival 2017/2018/2019. Imperial Festival is a free public event which is held each year on Imperial's South Kensington Campus. The weekend-long event features activities and attractions for all ages, including: Hands-on demonstrations; Workshops; Talks and Tours. More than 400 pupils attended for a school visit on the Friday, which sparked questions and discussion afterwards. More than 10,000 members of the public attended on Saturday and Sunday. As a result of a very successful event, we are now receiving request to reproduce this experiments at other outreach events. |
| Year(s) Of Engagement Activity | 2017,2018,2019 |
| URL | http://www.imperial.ac.uk/festival/ |
| Description | Podcast "Turbulence at the Exascale |
| Form Of Engagement Activity | A broadcast e.g. TV/radio/film/podcast (other than news/press) |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Media (as a channel to the public) |
| Results and Impact | The UK Turbulence Consortium and the UK ExCALIBUR project on turbulence at the exascale have launched a podcast on "Turbulence at the exascale" to gather the views of the community about the opportunities and the challenges that will come with exascale computing for turbulent flows in the UK. |
| Year(s) Of Engagement Activity | 2020 |
| URL | https://www.ukturbulence.co.uk/excalibur-podcast.html |
| Description | Twitter account for the UK Turbulence Consortium |
| Form Of Engagement Activity | Engagement focused website, blog or social media channel |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | Twitter account for the UK Turbulence Consortium |
| Year(s) Of Engagement Activity | 2018,2019 |
| URL | https://twitter.com/ukturbulence |
| Description | online series of talks dedicated to turbulence research based on the UK supercomputing facility |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Postgraduate students |
| Results and Impact | As it is not possible to organise the usual in-person annual meetings (and it is very unlikely that we will be able to do so anytime soon), the UKTC management committee and the CCP Turbulence launched online talk series dedicated to to turbulence research based on the UK supercomputing facility. The idea is very simple: every research group who had access to ARCHER resources in the last 2 years presents their work virtually, in dedicated sessions. Each session, with 4 talks, will last a maximum of 1h30 and focuses on a particular topic. |
| Year(s) Of Engagement Activity | 2020 |
| URL | https://www.ukturbulence.co.uk/on-line-talks-2021.html |