Novel hybrid LES-RANS schemes for simulating physically and geometrically complex turbulent flows
Lead Research Organisation:
University of Manchester
Department Name: Mechanical Aerospace and Civil Eng
Abstract
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People |
ORCID iD |
Dominique Laurence (Principal Investigator) |
Publications
Billard F
(2015)
Adaptive Wall Functions for an Elliptic Blending Eddy Viscosity Model Applicable to Any Mesh Topology
in Flow, Turbulence and Combustion
Rolfo S
(2012)
Thermal-hydraulic study of a wire spacer fuel assembly
in Nuclear Engineering and Design
Tunstall R
(2016)
Benchmarking LES with wall-functions and RANS for fatigue problems in thermal-hydraulics systems
in Nuclear Engineering and Design
Tunstall R
(2016)
Large eddy simulation of a T-Junction with upstream elbow: The role of Dean vortices in thermal fatigue
in Applied Thermal Engineering
Wu Z
(2017)
Direct numerical simulation of a low momentum round jet in channel crossflow
in Nuclear Engineering and Design
Description | In turbulent Computational Fluid Dynamics (CFD) Direct Numerical Simulation (DNS) is a deterministic approach resolving the entire range of turbulent flow structures down the tiniest ones that molecular viscosity will allow. This requires 100 million-cells meshes and precise numerical methods, but no modelling assumption is made. DNS, a "flawless numerical experiment", is however limited to plain and small-extent geometries (only 10 to 100 times the largest eddy) with simplistic inlet conditions (often periodic: inflow = outflow). Inversely, the industrial CFD workhorse is Reynolds Averaged Navier Stokes (RANS) tentatively predicting only statistical values - mean velocity, temperatures and their variance - which is fast and, with fully unstructured meshes, applicable to very complex geometries. To study less trivial and larger geometries UoM and EDF have jointly developed over 10 years coupling of RANS and Large Eddy Simulation (LES is like DNS but with still some statistical model for the smaller eddies). The method is based on correcting the stresses in the LES using those given by the RANS on coarse mesh regions, and vice-versa, has successfully predicted e.g. thermal mixing in a T pipe junction, separations in a diffuser or on a blade at incidence |
Exploitation Route | This has contributed to a series of specialised conferences, "Symposium on Hybrid RANS-LES Methods " first in the Eu and now world-wide, for applications in any fluid flow simulation related topical area http://www.hrlm-symposium.org (US) http://www.hrlm-4th.org (China) |
Sectors | Aerospace Defence and Marine Agriculture Food and Drink Chemicals Digital/Communication/Information Technologies (including Software) Energy Environment Manufacturing including Industrial Biotechology Transport |
Description | Combining both, statistical (RANS) & deterministic (LES) representations of turbulence, enables localised refined studies embedded in global industrial simulations. Developed via EU projects with major aerospace industries as EADS, Dassault ... (DESIDER, ATAAC, continuing with Go-Hybrid). Extended to heat transfer, it is used with EDF for thermal stresses impact on power plant lifetime. CD-Adapco, 2nd worldwide CFD software vendor, is implementing it for local-global effect of e.g. car mirrors acoustics and drag. Following, Academics now recognised the need to use this "two fields" approach since combining RANS and LES in a single field fails for physical reasons. |
First Year Of Impact | 2014 |
Sector | Aerospace, Defence and Marine,Digital/Communication/Information Technologies (including Software),Energy,Transport |
Impact Types | Economic Policy & public services |
Description | EDF Energy, EDF R and D UK centre |
Organisation | EDF Energy |
Country | United Kingdom |
Sector | Private |
PI Contribution | Developed advanced turbulence models in company's flow simulation software |
Collaborator Contribution | Benchmarking and application of turbulence models |
Impact | Part of wider U. Manchester / EDF Energy UK and EDF R&D France collaboration on engineering simulation software for both fluids and solids. |
Start Year | 2008 |