Yannik Hüpel

Technische Universität Braunschweig · Institut für Akustik und Dynamik

For the purpose of high-fidelity aircraft cabin noise simulations during early design phases, we study three efficient solving approaches for the fully coupled finite element model of an aircraft fuselage segment. Obtaining an efficient solution with respect to consumed computational time and resources is challenging within a conventional simulatio...

Early prediction and optimization capabilities of aircraft cabin noise are a vital tool in preliminary design stages for increasing product acceptance and customer comfort. Having access to audio samples of early development results can be immensely helpful in the design process by allowing listening tests, further psychoacoustic considerations or...

The rising number of passengers transported by aircraft leads to more flight traffic, further increasing the environmental impact of the aviation sector. In order to combat the growing environmental impact, the Cluster of Excellence Sustainable and Energy Efficient Aviation of TU Braunschweig aims to advance research toward climate neutral aviation...

The rising number of passengers transported by aircraft leads to more flight traffic, further increasing the environmental impact of the aviation sector. In order to combat the growing environmental impact, the Cluster of Excellence Sustainable and Energy Efficient Aviation of TU Braunschweig aims to advance research towards a climate neutral aviat...

A reduction of cabin noise in future aircraft configurations is one key measure for improving health and comfort conditions, meeting upcoming legal requirements and ensuring a customer’s acceptance of novel technologies. Since manufacturing of prototypes is costly, many of the early design stages are conducted virtually, while a holistic modelling...

Parametric model order reduction techniques have seen significant applications in the field of multi-query problems like uncertainty quantification, optimization and sensitivity analysis to yield faster evaluation of large-scale models. However, capturing parametric effects of a large number of parameters is still challenging owing to the curse of...

The field of vibroacoustics entailing simulation of large-scale models has seen numerous applications of model order reduction techniques to reduce the computational effort. However, regular reduction approaches are unable to contain parameter variations, deeming parametric model order reduction methods necessary.To further decrease the computation...