Deterministic Turbulence
Lead Research Organisation:
Cranfield University
Department Name: Sch of Aerospace, Transport & Manufact
Abstract
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People |
ORCID iD |
| Mark Savill (Principal Investigator) |
Publications
Sheikh Al-Shabab A A
(2019)
Numerical Investigation of Deterministic Turbulence and its Potential for Flow Control
Sheikh Al-Shabab A A
(2020)
A Numerical Investigation of Deterministic Stuctures in a Transitional Boundary Layer
Sheikh Al-Shabab A A
(2019)
Simulation of Deterministic Turbulence
Al-Shabab A
(2018)
Direct Numerical Simulation of Deterministic Turbulence
Al-Shabab A
(2018)
Numerical Simulation of Deterministic Turbulence
| Description | Numerical Simulations are able to reproduce previous experimental observations for some forced transitional boundary layer flows, and have provided support for the existence of Deterministic Turbulence under specified conditions as part of evidence emerging from the project as a whole; with Airbus/BAE recognising the importance of these findings. In particular Simulations for initial laminar flow wave instabilities, with appropriately scaled white-noise forcing, have been found to agree closely with the experimental data obtained by collaborating partners in this joint institutional grant, and there is agreement, also with Russian research advisors who conducted original research, that a more coherent transitional turbulence state has been generated. This has allowed more detailed examination of the richer numerical database to be conducted, to complement the necessarily limited experimentally obtained data, and an attempt to be made, in both the experiments and simulations, to establish more beneficial control of the more ordered flow structure. Latest numerical simulations have now been conducted for a forced self-similar laminar boundary layer using a point source Tollmien-Schlichting (TS) wave with some broadband noise superposed to produce a transitional boundary layer exhibiting typical level of uncertainty. Reproducible turbulent structures have again been detected experimentally in the late stages of transitional and early stages of turbulent boundary layer ?ow. These deterministic structures allow control strategies acting on the turbulent spots to be developed and tested. As a result in final work, different control jet con?gurations have been used to successfully target selectively the near wall high momentum region of the turbulent spots, with beneficial results. At the same time some implications for improved sub-grid scale modelling have emerged from simulations of the more ordered transitional deterministic turbulence regimes. |
| Exploitation Route | The now verified existence of Deterministic Turbulence should allow further improvements to both flow control and prediction methodologies. |
| Sectors | Aerospace, Defence and Marine,Energy,Transport |
| URL | http://www.ukturbulence.co.uk |
| Description | To inform Airbus Operations Ltd & BAE Systems. Further impact of this collaborative work is recorded against lead grant reference EP/M028690/1. |
| First Year Of Impact | 2019 |
| Sector | Aerospace, Defence and Marine |
| Impact Types | Societal,Economic |
| Description | ARCHER Resource Allocation of 2.2M AU |
| Amount | £6,900,000 (GBP) |
| Funding ID | EP/R029326 |
| Organisation | Engineering and Physical Sciences Research Council (EPSRC) |
| Sector | Public |
| Country | United Kingdom |
| Start | 07/2020 |
| End | 12/2020 |
| Description | ARCHER Resource allocation of 21.8M AU |
| Amount | £6,900,000 (GBP) |
| Funding ID | EP/R029326 |
| Organisation | Engineering and Physical Sciences Research Council (EPSRC) |
| Sector | Public |
| Country | United Kingdom |
| Start | 01/2019 |
| End | 07/2019 |
| Description | UKTC HEC ARCHER Resource Allocation of 18.7M AU |
| Amount | £11,000,000 (GBP) |
| Funding ID | EP/L000261 |
| Organisation | Engineering and Physical Sciences Research Council (EPSRC) |
| Sector | Public |
| Country | United Kingdom |
| Start | 11/2017 |
| End | 06/2018 |
| Title | Computational Simulations |
| Description | Time-series computational flow simulations and restart data - for Navier-Stokes Simulations and/or Lattice Boltzmann Method schemes. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2012 |
| Provided To Others? | Yes |
| Impact | Enabling subsequent analyses and comparative simulations with other computational and mathematical modelling methods to improve academic understanding and prediction methods for industry, as well as verifying, supporting, and extending complementary experimental data taking. |
| Description | Airbus Operations Ltd |
| Organisation | Airbus Group |
| Department | Airbus Operations |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Joint EPSRC Project collaboration with our group responsible for more fundamental computational simulation studies against experiment and mathematical formulae. |
| Collaborator Contribution | Technical interactions and advice. |
| Impact | As for Joint Project partners University of Cambridge |
| Start Year | 2010 |
| Description | City University Flow Control Group |
| Organisation | City, University of London |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Numerical simulations to complement experimental data taking. |
| Collaborator Contribution | Experimental set-up and data taking to provide initial conditions and validation for simulations. |
| Impact | None as yet |
| Start Year | 2016 |
| Description | Nottingham University Flow Control Group |
| Organisation | University of Nottingham |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Numerical Simulations to complement experimental data taking. |
| Collaborator Contribution | Experimental set-up and data taking to provide initial conditions and validate simulations. |
| Impact | None as yet |
| Start Year | 2016 |
| Description | Novosibirsk Flow Control Group |
| Organisation | Novosibirsk State University |
| Country | Russian Federation |
| Sector | Academic/University |
| PI Contribution | Numerical simulations in support of experimental data taking at City and Nottingham University. |
| Collaborator Contribution | Advising on present project direction, focus and both experimental and numerical set-ups as well as their own previous published and un-published methodologies and findings. |
| Impact | None as yet |
| Start Year | 2016 |
| Description | University of Cambridge (Engineering) |
| Organisation | University of Cambridge |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Collaborative developments and extensions to the SENGA2 code for Direct Numerical Simulations of wall-bounded shear flows. |
| Collaborator Contribution | Provision of a new research version of the SENGA2 code with wall boundary provisions and associated mesh stretching capability. |
| Impact | None as yet. |
| Start Year | 2016 |
| Title | SENGA2 version for wall -bounded flows |
| Description | An extended version of the SENGA2 DNS Code with stretched meshing option for application to (non-combusting) wall-bounded shear flows. |
| Type Of Technology | Software |
| Year Produced | 2017 |
| Impact | None as yet |