Matha, Marcel and Möller, Felix and Bode, Christoph and Morsbach, Christian and Kügeler, Edmund (2024) Advanced methods for assessing flow physics of the TU Darmstadt compressor stage: Part 2 - Uncertainty quantification of RANS turbulence modeling. In: 69th ASME Turbo Expo 2024: Turbomachinery Technical Conference and Exposition, GT 2024. ASME Turbo Expo 2024 - Turbomachinery Technical Conference and Exposition, 2024-06-24 - 2024-06-28, London, UK. doi: 10.1115/GT2024-122495. ISBN 978-079188807-0.
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Official URL: https://asmedigitalcollection.asme.org/GT/proceedings-abstract/GT2024/88070/V12CT32A013/1204724
Abstract
In this second paper of the two-part series, we quantify the turbulence modeling uncertainty for the transonic TU Darmstadt (TUDa) compressor. The present work applies the Eigenspace Perturbation Framework (EPF), as it is the only published physics-based framework capable of addressing the model-form uncertainty in turbulence closure modeling. To sample from the possible solution space and obtain the modeling uncertainty, we perform simulations perturbing the eigenvalues of the Reynolds stress tensor in addition to simulations using an unperturbed turbulence model. We show, that the shape of the Reynolds stress tensor ellipsoid has significant impact on the evolution of turbulence, flow separation, vortex systems, shock-boundary layer interaction and finally the overall performance of the compressor. We compare the estimated uncertainties with available measurements and transitional Delayed Detached-Eddy Simulations (DDES). This allows us to assess the confidence of the chosen turbulence model and to evaluate the sharpness and coverage of the resulting uncertainty bounds. Thus, the EPF is comprehensively validated and suggestions for its future applicability with respect to turbomachinery components are made.
| Item URL in elib: | https://elib.dlr.de/209956/ | ||||||||||||||||||||||||
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| Document Type: | Conference or Workshop Item (Speech) | ||||||||||||||||||||||||
| Title: | Advanced methods for assessing flow physics of the TU Darmstadt compressor stage: Part 2 - Uncertainty quantification of RANS turbulence modeling | ||||||||||||||||||||||||
| Authors: |
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| Date: | 28 August 2024 | ||||||||||||||||||||||||
| Journal or Publication Title: | 69th ASME Turbo Expo 2024: Turbomachinery Technical Conference and Exposition, GT 2024 | ||||||||||||||||||||||||
| Refereed publication: | Yes | ||||||||||||||||||||||||
| Open Access: | No | ||||||||||||||||||||||||
| Gold Open Access: | No | ||||||||||||||||||||||||
| In SCOPUS: | Yes | ||||||||||||||||||||||||
| In ISI Web of Science: | No | ||||||||||||||||||||||||
| DOI: | 10.1115/GT2024-122495 | ||||||||||||||||||||||||
| Series Name: | Volume 12C: Turbomachinery — Design Methods and CFD Modeling for Turbomachinery; Ducts, Noise, and Component Interactions | ||||||||||||||||||||||||
| ISBN: | 978-079188807-0 | ||||||||||||||||||||||||
| Status: | Published | ||||||||||||||||||||||||
| Keywords: | CFD, RANS, turbulence modeling, uncertainty quantification, compressor stage | ||||||||||||||||||||||||
| Event Title: | ASME Turbo Expo 2024 - Turbomachinery Technical Conference and Exposition | ||||||||||||||||||||||||
| Event Location: | London, UK | ||||||||||||||||||||||||
| Event Type: | international Conference | ||||||||||||||||||||||||
| Event Start Date: | 24 June 2024 | ||||||||||||||||||||||||
| Event End Date: | 28 June 2024 | ||||||||||||||||||||||||
| HGF - Research field: | Aeronautics, Space and Transport | ||||||||||||||||||||||||
| HGF - Program: | Aeronautics | ||||||||||||||||||||||||
| HGF - Program Themes: | Clean Propulsion | ||||||||||||||||||||||||
| DLR - Research area: | Aeronautics | ||||||||||||||||||||||||
| DLR - Program: | L CP - Clean Propulsion | ||||||||||||||||||||||||
| DLR - Research theme (Project): | L - Virtual Engine | ||||||||||||||||||||||||
| Location: | Köln-Porz | ||||||||||||||||||||||||
| Institutes and Institutions: | Institute of Propulsion Technology > Numerical Methodes Institute of Test and Simulation for Gas Turbines > Virtual Engine and Numerical Methods | ||||||||||||||||||||||||
| Deposited By: | Matha, Marcel | ||||||||||||||||||||||||
| Deposited On: | 10 Dec 2024 20:49 | ||||||||||||||||||||||||
| Last Modified: | 10 Dec 2024 20:49 |
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