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A real-time sensing system based on triboelectric nanogenerator for dynamic response of bridges 被引量:3
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作者 ZHANG He HUANG KangXu +3 位作者 ZHOU YuHui SUN LiangFeng ZHANG ZhiCheng LUO JiKui 《Science China(Technological Sciences)》 SCIE EI CAS CSCD 2022年第11期2723-2733,共11页
The strain of bridges under traffic loads is time-varying and of small amplitude(~10^(-6)),which is a type of cumulative response and needs long-term continuous monitoring.To precisely capture the time-varying respons... The strain of bridges under traffic loads is time-varying and of small amplitude(~10^(-6)),which is a type of cumulative response and needs long-term continuous monitoring.To precisely capture the time-varying responses,a dynamic strain triboelectric nanogenerator(TENG)sensor with superior response capability,sensitivity,self-powered,and long-term stability is proposed in this paper.An analytical correlation between the structural strain response signal and the detected electrical signal is established for long-term continuous quantitative strain measurements based on the principles of contact electrification and electrostatic induction.A series of experiments are conducted to investigate the output performance of the proposed lateral-sliding mode TENG sensors.The results reveal that,with the loading condition with frequencies lower than 10 Hz,the time-varying strain responses of the steel bridge within the range of 3 to 150 microstrains can also be detected with high precision of 0.1 microstrains.And it achieves long-term stability after 10000 loading cycles compared with commercial sensors.The proposed novel sensing theory and method based on TENG technology can be applied as a new alternative approach for monitoring realtime structural strain information quantitatively with general applicability and feasibility for bridges. 展开更多
关键词 triboelectric nanogenerator self-driven sensing quantitative sensing theory V-Q-εmodel dynamic strain monitoring of civil infrastructures
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