The roadmap laid out in the CFD Vision 2030 document suggests that a decision to move away from RANS research needs to be made in the current timeframe (around 2020). This paper outlines industry requirements for improved predictions of turbulent flows and the cost-barrier that is often associated with reliance on scale resolving methods. Capabilities of RANS model accuracy for simple and complex flow flow fields are assessed, and modeling practices that degrade predictive accuracy are identified. Suggested research topics are identified that have the potential to improve the applicability and accuracy of RANS models. We conclude that it is important that some part of a balanced turbulence modeling research portfolio should include RANS eff...
The objective is to provide clear and well-motivated guidance to Machine Learning (ML) teams, founde...
This work describes the development, implementation and preliminary stages of validation of well-kno...
The evaluation of different mathematical models for the prediction of tur- bulent flows depends...
Computational fluid dynamics (CFD) software that solves the Reynolds-averaged Navier-Stokes (RANS) e...
CFD-based aerodynamic design crucially depends on the capability of predicting turbulent flows, incl...
The vision and final goal of DLR’s guiding concept of a virtual aircraft is the highly accurate nume...
Advances in turbulence modeling are needed in order to calculate high Reynolds number flows near the...
In computational fluid dynamics simulations of industrial flows, models based on the Reynolds-averag...
RANS models are still the backbone of contemporary CFD methods because of their lower simulation cos...
This talk gives an overview of a strategy to improve RANS turbulence models based on advanced PIV da...
Over the last three decades Computational Fluid Dynamics (CFD) has gradually joined the wi...
Scale-resolving simulations are viewed as powerful means for predicting complex turbulent flows, as ...
The present thesis aims to provide a validation database of existing RANS models for high Reynolds n...
Im Kontext der Reynolds gemittelten Navier-Stokes Gleichungen werden verschiedene Zwei-Gleichungstur...
During the last decades many advances have been made in the prediction of turbulent flow behavior, d...
The objective is to provide clear and well-motivated guidance to Machine Learning (ML) teams, founde...
This work describes the development, implementation and preliminary stages of validation of well-kno...
The evaluation of different mathematical models for the prediction of tur- bulent flows depends...
Computational fluid dynamics (CFD) software that solves the Reynolds-averaged Navier-Stokes (RANS) e...
CFD-based aerodynamic design crucially depends on the capability of predicting turbulent flows, incl...
The vision and final goal of DLR’s guiding concept of a virtual aircraft is the highly accurate nume...
Advances in turbulence modeling are needed in order to calculate high Reynolds number flows near the...
In computational fluid dynamics simulations of industrial flows, models based on the Reynolds-averag...
RANS models are still the backbone of contemporary CFD methods because of their lower simulation cos...
This talk gives an overview of a strategy to improve RANS turbulence models based on advanced PIV da...
Over the last three decades Computational Fluid Dynamics (CFD) has gradually joined the wi...
Scale-resolving simulations are viewed as powerful means for predicting complex turbulent flows, as ...
The present thesis aims to provide a validation database of existing RANS models for high Reynolds n...
Im Kontext der Reynolds gemittelten Navier-Stokes Gleichungen werden verschiedene Zwei-Gleichungstur...
During the last decades many advances have been made in the prediction of turbulent flow behavior, d...
The objective is to provide clear and well-motivated guidance to Machine Learning (ML) teams, founde...
This work describes the development, implementation and preliminary stages of validation of well-kno...
The evaluation of different mathematical models for the prediction of tur- bulent flows depends...