10 citations · 27 across the 6 of their papers we have counts for
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cs.CE2023★ 5 cited
Improved self-consistency of the Reynolds stress tensor eigenspace perturbation for uncertainty quantification
Marcel Matha, Christian Morsbach
The limitations of turbulence closure models in the context of Reynolds-averaged NavierStokes (RANS) simulations play a significant part in contributing to the uncertainty of Compu…
cs.CE2022★ 10 cited
Evaluation of physics constrained data-driven methods for turbulence model uncertainty quantification
Marcel Matha, Karsten Kucharczyk, Christian Morsbach
In order to achieve a virtual certification process and robust designs for turbomachinery, the uncertainty bounds for Computational Fluid Dynamics have to be known. The formulation…
cs.CE2022★ 4 cited
Extending turbulence model uncertainty quantification using machine learning
Marcel Matha, Christian Morsbach
In order to achieve a more virtual design and certification process of jet engines in aviation industry, the uncertainty bounds for computational fluid dynamics have to be known. T…