title: A High Performance Piezoelectric Sensor for Dynamic Force Monitoring of Landslide.
abstract: Due to the increasing influence of human engineering activities, it is important to monitor the transient disturbance during the evolution process of landslide. For this purpose, a high-performance piezoelectric sensor is presented in this paper. To adapt the high static and dynamic stress environment in slope engineering, two key techniques, namely, the self-structure pressure distribution method (SSPDM) and the capacitive circuit voltage distribution method (CCVDM) are employed in the design of the sensor. The SSPDM can greatly improve the compressive capacity and the CCVDM can quantitatively decrease the high direct response voltage. Then, the calibration experiments are conducted via the independently invented static and transient mechanism since the conventional testing machines cannot match the calibration requirements. The sensitivity coefficient is obtained and the results reveal that the sensor has the characteristics of high compressive capacity, stable sensitivities under different static preload levels and wide-range dynamic measuring linearity. Finally, to reduce the measuring error caused by charge leakage of the piezoelectric element, a low-frequency correction method is proposed and experimental verified. Therefore, with the satisfactory static and dynamic properties and the improving low-frequency measuring reliability, the sensor can complement dynamic monitoring capability of the existing landslide monitoring and forecasting system.
authors.affiliation: Institute of Solid Mechanics, Beihang University, Beijing 100191, China. li_ming@buaa.edu.cn.
authors.forename: Ming
authors.initials: M
authors.lastname: Li
authors.affiliation: Institute of Solid Mechanics, Beihang University, Beijing 100191, China. 06548@buaa.edu.cn.
authors.forename: Wei
authors.initials: W
authors.lastname: Cheng
authors.affiliation: Institute of Solid Mechanics, Beihang University, Beijing 100191, China. chenjiangpan@126.com.
authors.forename: Jiangpan
authors.initials: J
authors.lastname: Chen
authors.affiliation: Institute of Solid Mechanics, Beihang University, Beijing 100191, China. xieruili890712@126.com.
authors.forename: Ruili
authors.initials: R
authors.lastname: Xie
authors.affiliation: Institute of Solid Mechanics, Beihang University, Beijing 100191, China. xiongfei_li0908@163.com.
authors.forename: Xiongfei
authors.initials: X
authors.lastname: Li
keywords: calibration experiment; dynamic measurement; landslide monitoring and forecasting system; landslides; low-frequency correction; piezoelectric sensor