Broadband acoustic enhancement and weak signals detection within a gradient acoustic-grating metamaterial
Broadband acoustic enhancement and weak signals detection within a gradient acoustic-grating metamaterial
复制标题
梯度声光栅超材料内的宽带声增强和弱信号检测
DOI:
10.1016/j.measurement.2020.108817
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发表时间:
2020-12
期刊:
影响因子:
5.6
通讯作者:
Dejie Yu
中科院分区:
文献类型:
--
作者:
Tinggui Chen;Junrui Jiao;Dejie Yu
Acoustic signals detection attracts considerable attention in many areas, such as structural healthy monitoring, biomedicine, communication and earthquake prediction. However, the useful signals are always very weak and overwhelmed by background noise. In this paper, we proposed a method based on the gradient acoustic-grating metamaterial (GAGM) to detect harmonic and periodic impulse signals for the first time. The analytic analysis indicates that the incident acoustic waves with various frequencies gradually slow down and eventually stop at different positions in the GAGM. In the numerical study, we show that acoustic rainbow trapping, realized by the GAGM, can spatially separate different frequency components accompanied by the local enhancement of their amplitudes. Moreover, in the experimental investigation, we demonstrate that the GAGM is capable of amplifying pressure amplitudes about 30 times even at different measured positions. With this acoustic system, the harmonic and periodic impulse signals submerged by background noise in the GAGM can be detected much more easily. All the results indicate that the GAGM can be regarded as a functional material or an enhanced acoustic sensing device to overcome the detection limit of conventional acoustic systems. This work opens up new vistas for weak signals detection of many areas.
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影响因子:
4.6
作者:
Qi MQ;Tang WX;Cui TJ
通讯作者:
Cui TJ
DOI:
10.1016/j.physa.2004.08.081
发表时间:
2005-03
影响因子:
3.3
作者:
V. M. Gandhimathi;K. Murali;S. Rajasekar
通讯作者:
V. M. Gandhimathi;K. Murali;S. Rajasekar
影响因子:
4.7
作者:
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通讯作者:
Haibin Zhang;Shangbin Zhang;Qingbo He;Fanrang Kong
影响因子:
16.6
作者:
Ma, Chu;Kim, Seok;Fang, Nicholas X.
通讯作者:
Fang, Nicholas X.
影响因子:
3.7
作者:
Tinggui Chen;Junrui Jiao;Hongqing Dai;Dejie Yu
通讯作者:
Tinggui Chen;Junrui Jiao;Hongqing Dai;Dejie Yu