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Exploring turbulence model uncertainties in turbomachinery applications

Matha, Marcel and Morsbach, Christian (2020) Exploring turbulence model uncertainties in turbomachinery applications. 73rd Annual Meeting of the APS Division of Fluid Dynamics, 22.-24. Nov. 2020, Onlinekonferenz.

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Abstract

The aerodynamic design of modern jet engines is highly affected by the prediction capabilities of the CFD-solver close to the operation limits. Since Reynolds-averaged Navier-Stokes (RANS) simulations are the workhorse in industrial development of jet engines, the accuracy of turbulence closure models is one of the main limitations in that process striving for future environmental friendly designs. Due to simplifying assumptions during the creation of turbulence models, the prediction accuracy of RANS computations is reduced in the presence of adverse pressure gradient, flow separation and bursting vortices. Consequently, these assumptions lead to a significant degree of epistemic uncertainty. The methodology to quantify these structural uncertainties based on eigenspace perturbations of the Reynolds stress tensor was implemented in the solver TRACE, being developed by DLR’s Institute of Propulsion Technology. In this investigation, we apply this implementation to turbulent flow cases pertinent to turbomachinery applications. Across these case studies, including DLR's 3D diffuser, the uncertainty bounds on such test case with respect to the closure model are presented in comparison with experimemental data.

Item URL in elib:https://elib.dlr.de/140390/
Document Type:Conference or Workshop Item (Speech)
Title:Exploring turbulence model uncertainties in turbomachinery applications
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Matha, Marcelmarcel.matha (at) dlr.deUNSPECIFIED
Morsbach, ChristianChristian.Morsbach (at) dlr.dehttps://orcid.org/0000-0002-6254-6979
Date:2020
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:turbulence model, uncertainty quantification, CFD, data-free
Event Title:73rd Annual Meeting of the APS Division of Fluid Dynamics
Event Location:Onlinekonferenz
Event Type:international Conference
Event Dates:22.-24. Nov. 2020
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Aeronautics
HGF - Program Themes:propulsion systems
DLR - Research area:Aeronautics
DLR - Program:L ER - Engine Research
DLR - Research theme (Project):L - Virtual Engine and Validation methods (old)
Location: Köln-Porz
Institutes and Institutions:Institute of Propulsion Technology > Numerical Methodes
Deposited By: Matha, Marcel
Deposited On:18 Jan 2021 10:45
Last Modified:18 Jan 2021 10:45

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