PROGRAMMABLE BANDGAPS IN META-STRUCTURES WITH DYNAMIC VIBRATION RESONATORS
Document Type
Conference Proceeding
Publication Date
11-27-2023
Department
Department of Mechanical Engineering-Engineering Mechanics
Abstract
Elastic wave propagation is controlled using metastructures with dynamic vibration resonators (DVRs). These meta-structures exhibit bandgaps whose location is determined by the attributes of the DVRs, especially their resonant frequency. However, in passive meta-structures, the bandgap location is fixed, which limits their ability to attenuate vibrations over a wide frequency range. To overcome this limitation, this study introduces a novel approach to achieve a wide programmable bandgap using a DVR with two states: high-frequency and low-frequency states. A new n-bit nomenclature for the meta-structure is introduced to absorb vibrations over a wide frequency bandwidth by switching between various n-bit configurations. The programmability of these meta-structures is assessed, and the results are validated with experiments. This novel approach allows for a wide programmable bandgap, which significantly improves the effectiveness of meta-structures in attenuating vibrations and acoustics over a broad frequency range. In conclusion, this study presents a new approach to achieving programmable bandgap meta-structures with dynamic vibration resonators, which can significantly improve their ability to mitigate vibrations and sound in various applications, including transportation, buildings, and machinery. This innovation has the potential to address several engineering challenges and contribute to the development of more efficient and effective NVH systems.
Publication Title
Proceedings of ASME 2023 Conference on Smart Materials, Adaptive Structures and Intelligent Systems, SMASIS 2023
ISBN
9780791887523
Recommended Citation
Chavan, S. H.,
&
Malladi, V.
(2023).
PROGRAMMABLE BANDGAPS IN META-STRUCTURES WITH DYNAMIC VIBRATION RESONATORS.
Proceedings of ASME 2023 Conference on Smart Materials, Adaptive Structures and Intelligent Systems, SMASIS 2023.
http://doi.org/10.1115/SMASIS2023-112818
Retrieved from: https://digitalcommons.mtu.edu/michigantech-p2/337