中国科学院重庆绿色智能技术研究院机构知识库

QQ客服 官方微博 反馈留言

	Flexible Timbo-Like Triboelectric Nanogenerator as Self-Powered Force and Bend Sensor for Wireless and Distributed Landslide Monitoring
	Lin, Zhiwei1; He, Qiang1; Xiao, Yang2; Zhu, Tao1; Yang, Jun3; Sun, Chenchen1; Zhou, Zhihao1; Zhang, Heng1; Shen, Ziying1; Yang, Jin1
	2018-11-01
摘要	As worldwide landslides frequently result in enormous casualties and huge economic losses, new landslide monitoring technologies are urgently required to develop for preventing and mitigating landslide hazard. In this paper, a self-powered, flexible, timbo-like triboelectric force and bend sensor (TTEFBS) is proposed and implemented, with the aim of effectively monitoring landslides. The fabricated TTEFBS, based on a single-electrode working mode, consists of a timbo-like inner polydimethylsiloxane (PDMS) core coated with a carbon electrode and an outer silicon rubber tube. Owing to the novel structure and sensing mechanism, the TTEFBS achieves high sensitivities (5.20 V N-1 under pressing and 1.61 V rad(-1) under bending), fast response/relaxation time (<6 ms), and long-term stability/reliability (more than 40 000 cycles). Furthermore, a wireless and distributed monitoring system using an array of TTEFBSs is developed for systematically detecting rockfalls, deep-seated landslides, and superficial landslides. Additionally, a zigzag-structured triboelectric nanogenerator (Z-TENG), characterized by an open-circuit voltage of approximate to 2058 V and a short-circuit current of approximate to 154 mu A, is successfully fabricated for scavenging energy from moving cars to provide power in wild environments, thereby forming a self-powered monitoring system. This work may further inspire rapid progress of TENG in applications of wireless, distributed sensing, and environmental/infrastructure monitoring.
关键词	landslide monitoring self-powered system timbo-like structure triboelectric nanogenerator
DOI	10.1002/admt.201800144
发表期刊	ADVANCED MATERIALS TECHNOLOGIES
ISSN	2365-709X
卷号	3期号:11页码:9
通讯作者	Yang, Jin(yangjin@cqu.edu.cn) ; Wang, Zhong Lin(zlwang@gatech.edu)
收录类别	SCI
WOS记录号	WOS:000450366300016
语种	英语