5 papers
Physics-Informed Machine Learning for the Inverse Design of Wave Scattering Clusters
Joshua R. Tempelman, Tobias Weidemann, Eric B. Flynn +2
Clusters of wave-scattering oscillators offer the ability to passively control wave energy in elastic continua. However, designing such clusters to achieve a desired wave energy pa…
Assessing the Dissipative Capacity of Particle Impact Dampers Based on their Nonlinear Bandwidth Characteristics
Xiang Li, Alireza Mojahed, Li-Qun Chen +2
The dissipative capacity as quantified by the nonlinear bandwidth measure of impulsively loaded primary structures (PSs) coupled to particle impact dampers (PIDs) is assessed. The…
Machine Learning Extreme Acoustic Non-reciprocity in a Linear Waveguide with Multiple Nonlinear Asymmetric Gates
Anargyros Michaloliakos, Chongan Wang, Alexander F. Vakakis
This work is a study of acoustic non-reciprocity exhibited by a passive one-dimensional linear waveguide incorporating two local strongly nonlinear, asymmetric gates. Two local non…
Buckling-induced transmission switching in phononic waveguides in the presence of disorder
Ali Kanj, Alexander F. Vakakis, Sameh Tawfick
On-chip phononic circuits tailor the transmission of elastic waves, which can couple to electronic and photonic systems, enabling new signal manipulation capabilities. Phononic cir…
Wavenumber Scattering and Inter-band Targeted Energy Transfer in Phononic Lattices with Local Vibro-Impact Nonlinearities
Joshua R. Tempelman, Kathryn H. Matlack, Alexander F. Vakakis
We propose a method for manipulating wave propagation in phononic lattices by employing local vibro-impact (VI) nonlinearities to \textit{scatter} energy across the underling linea…