6 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…
Nucleation and propagation of excitation fronts in self-excited systems
I. B. Shiroky, A. Papangelo, N. Hoffmann +1
Frictional interfaces exhibits a very rich dynamical behavior due to frictional interactions. This work focuses on the transition between spatially localized and propagating stick-…
Directional Soliton and Breather Beams
Amin Chabchoub, Kento Mozumi, Norbert Hoffmann +7
Solitons and breathers are nonlinear modes that exist in a wide range of physical systems. They are fundamental solutions of a number of nonlinear wave evolution equations, includi…
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…
Deep-water waves: On the nonlinear Schr{ö}dinger equation and its solutions
Nikolay K. Vitanov, Amin Chabchoub, Norbert Hoffmann
We present a brief discussion on the nonlinear Schr{ö}dinger equation for modeling the propagation of the deep-water wavetrains and a discussion on its doubly-localized breather so…