Autonomous Sensing Skin for Detection and Localization of Fatigue Cracks, TR-672
| 项目名称： | Autonomous Sensing Skin for Detection and Localization of Fatigue Cracks, TR-672 |
| 摘要： | Early detection of possible defects in civil infrastructure is vital to ensuring timely maintenance and extended life expectancy. A common structural problem for bridges is the growth of fatigue cracks in steel members. While these cracks can be detected using nondestructive evaluation (NDE) techniques, automating the monitoring process would result in substantial savings in repair costs, and enhanced structural health and safety. This process is known as structural health monitoring (SHM). Existing SHM techniques are not suitable for monitoring of fatigue cracks. For instance, off-the-shelf strain gages are small and can only be installed at specific locations, and are therefore incapable of detecting new fatigue cracks. Indirect methods exist for diagnosing new fatigue cracks from strain gages or accelerometers, but these techniques also fail at crack localization. It follows that there is a need to develop a low cost autonomous sensing solution capable of detecting and localizing fatigue cracks. |
| 状态： | Completed |
| 资金： | 92150.00 |
| 资助组织： | Iowa Department of Transportation |
| 项目负责人： | Goetz, Vanessa |
| 执行机构： | University of Kansas, Lawrence<==>Iowa State University, Ames |
| 开始时间： | 20140109 |
| 预计完成日期： | 20180831 |
| 主题领域： | Bridges and other structures；Data and Information Technology；Highways；Maintenance and Preservation |
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