Li Ming, Cheng Wei, Chen Jiangpan, Xie Ruili, Li Xiongfei
Institute of Solid Mechanics, Beihang University, Beijing 100191, China.
Sensors (Basel). 2017 Feb 17;17(2):394. doi: 10.3390/s17020394.
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.
由于人类工程活动的影响日益增大,监测滑坡演化过程中的瞬态扰动至关重要。为此,本文提出了一种高性能压电传感器。为适应边坡工程中的高静态和动态应力环境,在传感器设计中采用了两项关键技术,即自结构压力分布方法(SSPDM)和电容电路电压分布方法(CCVDM)。SSPDM可大幅提高抗压能力,CCVDM可定量降低高直接响应电压。然后,由于传统测试机无法满足校准要求,通过自主发明的静态和瞬态机制进行校准实验。获得了灵敏度系数,结果表明该传感器具有高抗压能力、在不同静态预载水平下灵敏度稳定以及宽范围动态测量线性度的特点。最后,为减少压电元件电荷泄漏引起的测量误差,提出并通过实验验证了一种低频校正方法。因此,该传感器具有令人满意的静态和动态特性以及不断提高的低频测量可靠性,可补充现有滑坡监测与预报系统的动态监测能力。