AI-enabled fiscally constrained life-cycle asset management for
infrastructure systems
| 项目名称： | AI-enabled fiscally constrained life-cycle asset management for infrastructure systems |
| 摘要： | This project will leverage significant advances in Artificial Intelligence (AI) methodologies to improve efficient life-long management of transportation infrastructure systems. Accurate evaluation and prediction of infrastructure components performance, and determination of optimal maintenance and inspection actions for any infrastructure element throughout its lifetime, are essential parts of an effective asset management framework. The goal of this project is hence to develop an integrated AI-enabled framework, able to provide both infrastructure condition assessments and predictions, as well as direct optimal maintenance and inspection decisions/actions/policies for a given multi-component infrastructure system |
| 状态： | Active |
| 资金： | $245,676 |
| 资助组织： | Office of the Assistant Secretary for Research and Technology |
| 项目负责人： | Donnell, Eric T；Rajabipour, Farshad |
| 执行机构： | Pennsylvania State University, University Park |
| 开始时间： | 20200120 |
| 预计完成日期： | 20210831 |
| 主题领域： | Administration and Management；Maintenance and Preservation |
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