4 papers
Deep learning for brake squeal: vibration detection, characterization and prediction
Merten Stender, Merten Tiedemann, David Spieler +3
Despite significant advances in modeling of friction-induced vibrations and brake squeal, the majority of industrial research and design is still conducted experimentally, since ma…
Energy harvesting below the onset of flutter
Merten Stender, Merten Tiedemann, Norbert Hoffmann
This work demonstrates preliminary results on energy harvesting from a linearly stable flutter-type system with circulatory friction forces. Harmonic external forcing is applied to…
The non-linear behavior of aqueous model ice in downward flexure
Rüdiger U. Franz von Bock und Polach, Robert Ettema, Silke Gralher +2
As aqueous model ice is used extensively in ice tanks tests on the performance of ship hulls in sheet ice, it is imperative that such model ice replicate the main flexural strength…
Establishing a common data base of ice experiments and using machine learning to understand and predict ice behavior
Leon Kellner, Merten Stender, Hauke Herrnring +4
Machine learning and statistical tools are applied to identify how parameters, such as temperature, influence peak stress and ice behavior. To enable the analysis, a common and sma…