Optimization of Electromagnetic Acoustic Transducers (EMATs) for Condition Assessment of Civil Infrastructure
| 项目名称： | Optimization of Electromagnetic Acoustic Transducers (EMATs) for Condition Assessment of Civil Infrastructure |
| 摘要： | Concrete is a primary construction material for infrastructure in the United States. The ability to effectively assess the condition of concrete structures during their service life is critically important to maintaining the safety and efficiency of our infrastructure. Corrosion of reinforcing steel bars and strands that are embedded in the concrete is a primary deterioration mode for structures across the spectrum of the civil infrastructure. The Electromagnetic Acoustic Transducer (EMAT) technology to be developed under the proposed project can help address the need for improved condition assessment tools, by allowing a concrete structure to be built with an embedded acoustic sensor network. The embedded sensors will be capable of detecting corrosion, cracking in concrete, and fracture of embedded steel such as reinforcing steel and prestressing strand. This technology will lead to a "smart bridge" that has an embedded sensor network that is analogous to the nervous system in the human body, detecting deterioration in its embryonic stages such that mitigation methods can be employed. The goal of the proposed project is to develop improved sensor designs for magnetostrictive EMATs that will overcome limitations in the current sensors designs, allowing for the sensors to be embedded in concrete. The improved design and design models to be developed under this project will broaden the scope of application for this unique sensor technology for the condition assessment of bridges and other civil structures. |
| 状态： | Completed |
| 资金： | 15303.00 |
| 资助组织： | Research and Innovative Technology Administration |
| 执行机构： | University of Missouri, Columbia |
| 开始时间： | 20060901 |
| 实际结束时间： | 20080228 |
| 主题领域： | Bridges and other structures；Highways；Research |
相关文献
- Modeling and Measurement of Rebar Corrosion on Crack Formation Using High Frequency Ultrasonics in Three Dimensions and with No Contact with The Sample
- Enhancing Direct Assessment with Remote Inspection through Coatings and Buried Regions
- Detection and Monitoring of Material Aging and Structural Deterioration using Electromagnetic and Mechanical Sensors with Virtual Reality and Machine Learning Modeling (3.19)
- Corrosion Damage Assessment of Post-Tensioned Concrete Structures
- Poro-Elastic modeling and measurement of rebar corrosion and crack formation using high frequency ultrasonics.
- Intelligent Structural Health Monitoring of Vehicular Bridges
检索历史
应用推荐
