Development of sensing method for complete in situ assessment of steel corrosion in concrete
Development of sensing method for complete in situ assessment of steel corrosion in concrete
批准号:
0625996
负责人:
John Popovics
金额:
$0.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2006
资助国家:
美国
项目状态:
已结题
起止时间:
2006-09-01 至 2010-08-31
中文摘要
本计画旨在发展一种感测方法,以测定各种钢筋混凝土系统的腐蚀活性程度与活性腐蚀速率。这一目标是通过应用程序,分别实现的主动和被动磁场测量,这是最近开发的高灵敏度微型巨磁阻(GMR)传感器IC芯片进行。研究工作分为四个主要任务:(i)设计和开发主动传感技术传感器芯片,线圈和相关设备,以提供功能性主动磁传感配置。(ii)被动传感技术的发展传感器芯片和相关设备将被修改和设计,以提供一个功能被动传感配置。将检查传感配置检测腐蚀速率的能力。(iii)EE支持和传感器封装将开发封装的传感器原型。将考虑传感器配置、信号调理、数据采集、电源要求等问题。随后将进行传感器原型的物理实现。 (iv)传感器原型验证开发的封装传感器原型将应用于全尺寸混凝土元件。
英文摘要
This project is to develop a sensing method that can determine the extent of corrosion activity and the rate of active corrosion for all types of steel reinforced concrete systems. This objective is achieved through the application, respectively, of active and passive magnetic field measurements, which are carried out with recently-developed high sensitivity miniature giant magnetoresistive (GMR) sensor IC chips. The research effort is divided into four main tasks: (i) Design and development of active sensing technology Sensor chips, coils, and associated equipment to provide a functioning active magnetic sensing configuration.. (ii) Development of passive sensing technology Sensor chips and associated equipment will be modified and designed to give a functioning passive sensing configuration. The ability of the sensing configuration to detect corrosion rate will be examined. (iii) EE support and sensor packaging A packaged sensor prototype will be developed. Issues such as sensor configuration, signal conditioning, data acquisition, power requirements, etc. will be considered. Physical implementation of a sensor prototype will then follow. (iv) Sensor prototype verification The developed packaged sensor prototype will be applied to full-scale concrete elements.
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EAGER: Understanding Nonlinear Mechanical Behavior in Porous Infrastructure Materials
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批准号:1744371
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项目类别:Standard Grant
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资助金额:$10.0万
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财政年份:2017
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