基于等强度悬臂梁的低频高灵敏度FBG加速度传感器研究  被引量:1

Study on low-frequency and high-sensitivity FBG acceleration sensor based on equal strength cantilever beam

在线阅读下载全文

作  者:覃荷瑛[1,2] 李纯德 祝健强 罗伯光[1,2] QIN Heying;LI Chunde;ZHU Jianqiang;LUO Boguang(Guangxi Key Laboratory of Geotechnical Mechanics and Engineering,Guilin University of Technology,Guilin,Guangxi 541004,China;School of Civil Engineering,Guilin University of Technology,Guilin,Guangxi 541004,China)

机构地区:[1]桂林理工大学广西岩土力学与工程重点实验室,广西桂林541004 [2]桂林理工大学土木工程学院,广西桂林541004

出  处:《光电子.激光》2024年第2期113-121,共9页Journal of Optoelectronics·Laser

基  金:国家自然科学基金(52068014);广西创新驱动发展专项(桂科AA20302006)资助项目。

摘  要:针对桥梁低频振动监测灵敏度低的问题,提出了一种基于等强度悬臂梁的低频高灵敏度光纤光栅(fiber Bragg grating, FBG)加速度传感器。以悬臂梁厚度与质量块质量为主要参数设计了12组FBG加速度传感器,通过激振器对传感器进行幅频特性、灵敏度及横向抗干扰试验,得到较适合监测桥梁振动的一组传感器,其固有频率为49 Hz,工作频带为0—34 Hz,灵敏度高达664.53 pm/g,线性度为99.9%,且横向抗干扰能力强。通过理论推导到试验验证,为桥梁振动提供一种新型有效的监测手段。In order to solve the problem of low sensitivity in low-frequency vibration monitoring of bridges,a low-frequency and high-sensitivity fiber Bragg grating(FBG)acceleration sensor is proposed based on an equal strength cantilever beam.Twelve groups of FBG acceleration sensors are designed with the thickness of the cantilever beam and the weight of the mass block as the main parameters.The amplitude-frequency characteristics,sensitivity,and transverse anti-interference tests of the sensors are carried out by a vibration generator.And a set of sensors suitable for monitoring bridge vibration are obtained.The natural frequency of the sensor is 49 Hz,the operating band is 0—34 Hz,the sensitivity is up to 664.53 pm/g,the linearity is 99.9%,and the lateral anti-interference ability is strong.A novel and effective monitoring method is provided for bridge vibration by theoretical derivation and experimental verification.

关 键 词:等强度悬臂梁 光纤光栅(FBG) 加速度传感器 桥梁监测 

分 类 号:TP212[自动化与计算机技术—检测技术与自动化装置]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象