Home > News > Prof. He Qingbo Advances Single-sensor Identification of Elastic Vibrations

Prof. He Qingbo Advances Single-sensor Identification of Elastic Vibrations

May 11, 2020      Author: Institute of Vibration Shock & Noise, SJTU

On May 11, Professor He Qingbo from School of Mechanical Engineering, SJTU, published a paper titled “Randomized resonant metamaterials for single-sensor identification of elastic vibrations” in Nature Communications. Shanghai Jiao Tong University is the only affiliation of this paper. Doctoral student Jiang Tianxi is the first author; Professor He Qingbo is the corresponding author; Professor Peng Zhike is the co-author. Postgraduate student Li Chong also participated in this program.

This research is supported by the National Natural Science Foundation of China and the “Youth Talent Support Plan” under the “Ten Thousand Talent Program” of the Organization Department of the CPC. In recent years, He Qingbo has been making in-depth research in metamaterial structural dynamics.


Vibrations carry a wealth of useful physical information in various fields. Identifying the multi-source vibration information generally requires a large number of sensors and complex hardware. Compressive sensing has been shown to be able to bypass the traditional sensing requirements by encoding spatial physical fields, but how to encode vibration information remains unexplored. Here we propose a randomized resonant metamaterial with randomly coupled local resonators for single-sensor compressed identification of elastic vibrations. The disordered effective masses of local resonators lead to highly uncorrelated vibration transmissions, and the spatial vibration information can thus be physically encoded. We demonstrate that the spatial vibration information can be reconstructed via a compressive sensing framework, and this metamaterial can be reconfigured while maintaining desirable performance. This randomized resonant metamaterial presents a new perspective for single-sensor vibration sensing via vibration transmission encoding, and potentially offers an approach to simpler sensing devices for many other physical information.