@inbook{61fcc5875ef847c3848dac6dcbdd8b37,
title = "Turbulent Backward-Facing Step Flow: Reliability Assessment of Large-Eddy Simulation Using ILSA",
abstract = "Reliability assessment of large-eddy simulation (LES) of turbulent flows requires consideration of errors due to shortcomings in the modeling of sub-filter scale dynamics and due to discretization of the governing filtered Navier-Stokes equations. The Integral Length-Scale Approximation (ILSA) model is a pioneering sub-filter parameterization that incorporates both these contributions to the total simulation error, and provides user control over the desired accuracy of a simulation. The performance of ILSA, implemented as eddy-viscosity models, for separated turbulent flow over a backward-facing step is investigated here. We show excellent agreement with experimental data and with predictions based on other, well-established sub-filter models. The computational overhead is found to be close to that of a basic Smagorinsky sub-filter model.",
keywords = "2024 OA procedure, Large-eddy simulation, Reliability, Turbulence, ILSA modelling",
author = "Geurts, {Bernard J.} and Amirreza Rouhi and Ugo Piomelli",
note = "Publisher Copyright: {\textcopyright} 2021, Springer Nature Switzerland AG.",
year = "2021",
month = feb,
day = "11",
doi = "10.1007/978-3-030-55594-8_5",
language = "English",
isbn = "978-3-030-55593-1",
series = "Notes on Numerical Fluid Mechanics and Multidisciplinary Design",
publisher = "Springer",
pages = "31--41",
editor = "Marianna Braza and Kerry Hourigan and Michael Triantafyllou",
booktitle = "Advances in Critical Flow Dynamics Involving Moving/Deformable Structures with Design Applications",
address = "Germany",
}