GOALI: Distributed Active Acoustic Sensing using a Single Optical Fiber for Interfacial Structural Health Monitoring of Reinforced Concrete Structures

GOALI:使用单根光纤进行分布式主动声学传感,用于钢筋混凝土结构的界面结构健康监测

基本信息

  • 批准号:
    1401369
  • 负责人:
  • 金额:
    $ 29.7万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2014
  • 资助国家:
    美国
  • 起止时间:
    2014-07-01 至 2018-06-30
  • 项目状态:
    已结题

项目摘要

This Grant Opportunity for Academic Liaison with Industry (GOALI) project investigates effective sensing methodologies to assess the integrity of the interface between steel bars and concrete in reinforce concrete (RC) structures. The approach consists in the application of active acoustic interrogation with optical fibers-based sensing. The combination of the two modalities will allow sensing a multiple locations, which will significantly improve the ability to detect defects and structural degradations. The results of the research will benefit structural health monitoring and nondestructive testing of many structures components. One representative example is the detection of early-stage steel rebar corrosion in concrete structures. NACE (National Association of Corrosion Engineers) estimates the cost of corrosion damage repair in concrete structures in the USA is approximately $125 billion per year. Corrosion of steel rebars in RC structures is primarily responsible for the deterioration and immature failure of RC structures. Sensing capability to detect early-stage rebar corrosion can greatly reduce the cost for rebuild/repair, routine maintenance efforts, and the unnecessary social costs (e.g., traffic closure) in construction. More importantly, unpredictable structural failures can be prevented, especially for signature buildings and bridges. This research will not only change the current practice for monitoring steel rebar corrosion in RC structures, but also wil be applied to the corrosion monitoring of prestressed concrete structures, steel pipelines, nuclear power plants, and other critical civil infrastructure systems using steel. Educational efforts will motivate K-12 and undergraduate students for research, especially those from the underrepresented groups.The specific research goal is to study the sensing mechanism at the interface between steel reinforcing bars (rebars) and concrete in reinforced concrete (RC) structures using distributed active acoustic sensing. This will be achieved by i) investigating the active single-point probing/ sensing problem in a circular geometry; and ii) creating a distributed active acoustic optical fiber sensor. The sensor will be attached to the surface of steel rebars burned inside concrete, capable of probing into the steel rebars and assessing structural health of the interface between steel and concrete.
这个赠款机会学术联络与行业(GOALI)项目研究有效的传感方法,以评估钢筋混凝土(RC)结构中钢筋和混凝土之间的界面的完整性。该方法包括在应用程序中的主动声讯问与光纤为基础的传感。这两种模式的结合将允许感测多个位置,这将显著提高检测缺陷和结构退化的能力。本文的研究成果对结构健康监测和结构构件的无损检测具有一定的参考价值。一个代表性的例子是混凝土结构中早期钢筋腐蚀的检测。NACE(全国腐蚀工程师协会)估计,美国混凝土结构腐蚀损坏修复的成本每年约为1250亿美元。钢筋锈蚀是钢筋混凝土结构劣化和早期破坏的主要原因。检测早期钢筋腐蚀的感测能力可以大大降低重建/维修、日常维护工作的成本以及不必要的社会成本(例如,交通堵塞)。更重要的是,可以防止不可预测的结构故障,特别是对于标志性建筑和桥梁。该研究不仅将改变目前钢筋混凝土结构中钢筋腐蚀监测的做法,而且将应用于预应力混凝土结构、钢管、核电站等使用钢材的重要民用基础设施系统的腐蚀监测。教育工作将激励K-12和本科生进行研究,特别是那些来自代表性不足的群体。具体的研究目标是使用分布式主动声学传感技术研究钢筋混凝土(RC)结构中钢筋(rebar)和混凝土之间界面的传感机理。这将通过以下方式实现:i)研究圆形几何形状中的有源单点探测/传感问题;以及ii)创建分布式有源声学光纤传感器。该传感器将附着在混凝土内部燃烧的钢筋表面,能够探测钢筋并评估钢筋和混凝土之间界面的结构健康。

项目成果

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Xingwei Wang其他文献

A Novel Deep Q-Learning-Based Air-Assisted Vehicular Caching Scheme for Safe Autonomous Driving
一种新型的基于深度 Q 学习的空气辅助车辆缓存方案,用于安全自动驾驶
A Novel Evolutionary Algorithm Based on Judgment-Rule Evolution Strategy for Structural Balance in Signed Social Networks
一种基于判断规则进化策略的签名社交网络结构平衡进化算法
A PUF-based and Cloud-assisted Lightweight Authentication Mechanism for Multi-hop Body Area Network
基于PUF的云辅助轻量级多跳体域网认证机制
  • DOI:
  • 发表时间:
    2021
  • 期刊:
  • 影响因子:
    6.6
  • 作者:
    Xiao Tan;Jiliang Zhang;Yuanjing Zhang;Zheng Qin;Yong Ding;Xingwei Wang
  • 通讯作者:
    Xingwei Wang
Participant Incentive Mechanism Toward Quality-Oriented Sensing Understanding and Application
  • DOI:
  • 发表时间:
    2019
  • 期刊:
  • 影响因子:
    4.1
  • 作者:
    Ruiyun Yu;Jiannong Cao;Rui Liu;Wenyu Gao;Xingwei Wang;梁俊斌
  • 通讯作者:
    梁俊斌
Supramolecular assembly inspired molecular engineering to dynamically tune non-Newtonian fluid:from quasi-static flowability-free to shear thickening
超分子组装启发分子工程动态调节非牛顿流体:从准静态无流动性到剪切增稠
  • DOI:
    10.1016/j.jcis.2021.09.087
  • 发表时间:
    2021
  • 期刊:
  • 影响因子:
    9.9
  • 作者:
    Xingwei Wang;Luyao Bao;Chaoyang Zhang;Jianbin Zhang;Zhiquan Yang;Wufang Yang;Feng Zhou;Weimin Liu
  • 通讯作者:
    Weimin Liu

Xingwei Wang的其他文献

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{{ truncateString('Xingwei Wang', 18)}}的其他基金

I-Corps: Translation Potential of Head Impact Monitoring with Embedded Sensor Technology in Sports Helmets
I-Corps:运动头盔中嵌入式传感器技术的头部碰撞监测的转化潜力
  • 批准号:
    2416207
  • 财政年份:
    2024
  • 资助金额:
    $ 29.7万
  • 项目类别:
    Standard Grant
2015 Concussion Prevention and Diagnosis Workshop; Lowell, Massachusetts; June 2-3, 2015
2015年脑震荡预防与诊断研讨会;
  • 批准号:
    1540100
  • 财政年份:
    2015
  • 资助金额:
    $ 29.7万
  • 项目类别:
    Standard Grant
I-Corps: Commercialization Feasibility Research and Demonstration Preparation for Fiber Optic Ultrasound Transducers
I-Corps:光纤超声换能器商业化可行性研究和示范准备
  • 批准号:
    1439273
  • 财政年份:
    2014
  • 资助金额:
    $ 29.7万
  • 项目类别:
    Standard Grant
CAREER: Novel Mechanism for Generation and Receiving of Ultrasound on a Single Fiber Using Nanoparticles
职业:利用纳米粒子在单根纤维上产生和接收超声波的新机制
  • 批准号:
    1055358
  • 财政年份:
    2011
  • 资助金额:
    $ 29.7万
  • 项目类别:
    Standard Grant
MRI-R2: Acquisition of a Focused Ion Beam - Scanning Electron Microscope (FIB-SEM) for Nano/Micro Fabrication/Characterization
MRI-R2:采集聚焦离子束 - 扫描电子显微镜 (FIB-SEM),用于纳米/微米制造/表征
  • 批准号:
    0960022
  • 财政年份:
    2010
  • 资助金额:
    $ 29.7万
  • 项目类别:
    Standard Grant
Collaborative Research: Fundamental Research on Titanium Drilling with Rotary Ultrasonic Machining
合作研究:旋转超声加工钛钻孔的基础研究
  • 批准号:
    0856204
  • 财政年份:
    2009
  • 资助金额:
    $ 29.7万
  • 项目类别:
    Standard Grant

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