10 citations · 35 across the 8 of their papers we have counts for
8 papers
Modal analysis of high-fidelity simulations in turbomachinery
Christian Morsbach, Bjoern F. Klose, Michael Bergmann +1
We revisit recently published high-fidelity implicit large eddy simulation datasets obtained with a high-order discontinuous Galerkin spectral element method and analyse them using…
Physically constrained eigenspace perturbation for turbulence model uncertainty estimation
Marcel Matha, Christian Morsbach
Aerospace design is increasingly incorporating Design Under Uncertainty based approaches to lead to more robust and reliable optimal designs. These approaches require dependable es…
Physics-constrained Random Forests for Turbulence Model Uncertainty Estimation
Marcel Matha, Christian Morsbach
To achieve virtual certification for industrial design, quantifying the uncertainties in simulation-driven processes is crucial. We discuss a physics-constrained approach to accoun…
Large eddy simulation of a low-pressure turbine cascade with turbulent end wall boundary layers
Christian Morsbach, Michael Bergmann, Adem Tosun +3
We present results of implicit large eddy simulation (LES) and different Reynolds-averaged Navier-Stokes (RANS) models of the MTU 161 low pressure turbine at an exit Reynolds numbe…
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…
Large eddy simulation of a low pressure turbine cascade with turbulent end wall boundary layers
Christian Morsbach, Michael Bergmann, Adem Tosun +2
We present first results of an implicit large eddy simulation of the MTU T161 low pressure turbine at a Reynolds number of 90,000 and Mach number of 0.6, both based on isentropic e…
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…
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…