Full scale strain monitoring of a suspension bridge using high performance distributed fiber optic sensors

布里渊区 悬挂(拓扑) 桥(图论) 光纤 光纤传感器 材料科学 图像分辨率 结构工程 声学 光学 计算机科学 工程类 电信 物理 数学 医学 同伦 内科学 纯数学
作者
Jinlong Xu,Yongkang Dong,Zhaohui Zhang,Shunlong Li,Shaoyang He,Hui Li
出处
期刊:Measurement Science and Technology [IOP Publishing]
卷期号:27 (12): 124017-124017 被引量:55
标识
DOI:10.1088/0957-0233/27/12/124017
摘要

This paper investigated field monitoring of a 1108 m suspension bridge during an assessment load test, using integrated distributed fibre-optic sensors (DFOSs). In addition to the conventional Brillouin time domain analysis system, a high spatial resolution Brillouin system using the differential pulse-width pair (DPP) technique was adopted. Temperature compensation was achieved using a Raman distributed temperature sensing system. This is the first full scale field application of DFOSs using the Brillouin time domain analysis technique in a thousand-meter-scale suspension bridge. Measured strain distributions along the whole length of the bridge were presented. The interaction between the main cables and the steel-box-girder was highlighted. The Brillouin fibre-optic monitoring systems exhibited great facility for the purposes of long distance distributed strain monitoring, with up to 0.05 m spatial resolution, and 0.01 m/point sampling interval. The performance of the Brillouin system using DPP technique was discussed. The measured data was also employed for assessing bridge design and for the assessment of structural condition. The results show that the symmetrical design assumptions were consistent with the actual bridge, and that the strain values along the whole bridge were within the safety range. This trial field study serves as an example, demonstrating the feasibility of highly dense strain and temperature measurement for large scale civil infrastructures using integrated DFOSs.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
情怀应助漂亮煎蛋采纳,获得10
2秒前
一曲终发布了新的文献求助10
2秒前
hnxxangel发布了新的文献求助10
2秒前
在水一方应助Achhz采纳,获得10
2秒前
WuYiHHH完成签到,获得积分10
4秒前
5秒前
舒服的鱼发布了新的文献求助10
6秒前
传奇3应助emmm采纳,获得10
6秒前
depravity发布了新的文献求助10
7秒前
7秒前
8秒前
晨曦完成签到,获得积分20
8秒前
9秒前
9秒前
10秒前
彭于晏应助hnxxangel采纳,获得10
11秒前
wenying发布了新的文献求助10
11秒前
lucky完成签到 ,获得积分10
11秒前
执着的完成签到,获得积分10
12秒前
13秒前
蓝天发布了新的文献求助10
13秒前
xyy关注了科研通微信公众号
14秒前
14秒前
metabolic发布了新的文献求助10
14秒前
隐形曼青应助追寻的白安采纳,获得10
14秒前
完美世界应助脚猾的狐狸采纳,获得10
15秒前
15秒前
郦如花发布了新的文献求助10
15秒前
小二郎应助ghhhn采纳,获得10
16秒前
17秒前
emmm发布了新的文献求助10
17秒前
烟花应助palmer采纳,获得10
17秒前
大不点发布了新的文献求助20
17秒前
haha发布了新的文献求助10
18秒前
热情的修哥完成签到 ,获得积分10
18秒前
Lucas应助漂亮的笑柳采纳,获得10
18秒前
干净的琦应助甲鱼采纳,获得30
19秒前
wenying完成签到,获得积分10
19秒前
superhero完成签到,获得积分10
19秒前
陈cz发布了新的文献求助30
20秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Picture this! Including first nations fiction picture books in school library collections 1000
Signals, Systems, and Signal Processing 610
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
Photodetectors: From Ultraviolet to Infrared 500
信任代码:AI 时代的传播重构 450
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6357186
求助须知:如何正确求助?哪些是违规求助? 8171852
关于积分的说明 17206020
捐赠科研通 5412837
什么是DOI,文献DOI怎么找? 2864794
邀请新用户注册赠送积分活动 1842233
关于科研通互助平台的介绍 1690490