Deterioration Modeling of Bridges
| 项目名称： | Deterioration Modeling of Bridges |
| 摘要： | Decision making for bridge maintenance, rehabilitation, and replacement can be greatly enhanced using deterioration models that predict the future service performance of major bridge components based on major element type, age, current condition, and traffic (trucks). Historic National Bridge Inventory (NBI) data is available to predict future bridge performance based on those variables. By categorizing Kentucky's bridges into groups and reviewing past NBI performance, clear indications can be obtained of future performance for specific bridges. This information can provide estimates of future bridge needs for planning and in targeting specific bridges for project level actions that will extend the �dwell time� of bridge components at current condition states. Previous models were developed to predict the durability/deterioration rates of the four condition ratings. These models can be utilized to develop additional models that incorporate cost forecasting to maintain or replace select bridge elements. These models can then be extrapolated to show the most effective allocation of funds at both the project and system levels. |
| 状态： | Completed |
| 资金： | 150000 |
| 资助组织： | Kentucky Transportation Cabinet |
| 管理组织： | Kentucky Transportation Cabinet |
| 执行机构： | University of Kentucky, Lexington |
| 主要研究人员： | Palle, Sudhir |
| 开始时间： | 20160701 |
| 预计完成日期： | 20190630 |
| 实际结束时间： | 20190101 |
相关文献
- Calibration of Bridge Element Based Deterioration Models
- Descriptive and Predictive Deep Learning Analytical Tools for Enhanced Bridge Management: Bridge Subtyping and Bridge Deterioration Forecasting
- Highway Pavement Condition Deterioration Modeling Considering Maintenance History
- Developing Deterioration Curves for Bridge Elements
- Significant Factors of Bridge Deterioration
- Investigation of Corrosion and other Deterioration Effects in Highway Bridge Components using Non-destructive Testing Technology of Acoustic Emission
检索历史
应用推荐
