Automated Bridge Inspection using Digital Image Correlation Phase II � Application of Digital Image Correlation Techniques for In-Service Inspection Conditions
| 项目名称： | Automated Bridge Inspection using Digital Image Correlation Phase II � Application of Digital Image Correlation Techniques for In-Service Inspection Conditions |
| 摘要： | An experimental study will be undertaken in which a series of steel compact specimens (C(T)) and steel bridge girder components will be tested in the KU Structural Engineering Laboratory. Specimens will be loaded cyclically to introduce and propagate fatigue cracks, and a digital image correlation (DIC) will be used to develop capabilities for detecting and monitoring fatigue cracking. Building on the previous research project, the current study will examine the capabilities of the DIC system and methodology under in-service inspection conditions. Variable amplitude loading will be applied to simulate ambient traffic conditions, while paint patterns for the DIC will be altered to replicate environmental changes to the material surface. The previously developed crack identification methodology will be modified as necessary for application under in-service conditions, working towards the development of an automated crack identification methodology. This research program is anticipated to lead to implementation of DIC for automated bridge inspections as part of robotic bridge inspection systems in future projects related to automated crack inspection. |
| 状态： | Active |
| 资金： | 174834 |
| 资助组织： | Mid-America Transportation Center |
| 管理组织： | Mid-America Transportation Center |
| 项目负责人： | Stearns, Amy |
| 执行机构： | University of Kansas, Lawrence |
| 主要研究人员： | Sutley, Elaina J |
| 开始时间： | 20181127 |
| 预计完成日期： | 20191231 |
| 实际结束时间： | 0 |
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