原文传递
Machine Learning–Based Seismic Reliability Assessment of Bridge Networks
| 题名： | Machine Learning–Based Seismic Reliability Assessment of Bridge Networks |
| 正文语种： | eng |
| 作者： | Mengdie Chen;Sujith Mangalathu;Jong-Su Jeon |
| 作者单位： | Hanyang Univ.;Research Scientist Mangalathu Mylamkulam Puthoor PO Kollam Kerala 691507 . Email:;Hanyang Univ. |
| 关键词： | Machine learning models;Bridge network analysis;Network fragility;Bridge ranking;Feature importance |
| 摘要： | Abstract Transportation networks are critical components of lifeline systems. They can experience disruptions due to seismic hazards that could lead to severe emergency response and recovery problems. Finding an efficient and effective method to evaluate the seismic reliability of bridge networks is crucial for risk managers. This study proposes a method that can compute the seismic reliability of bridge networks using machine learning techniques. The proposed method is computationally less expensive than existing methods and can be implemented easily in emergency risk management systems. Moreover, it includes information on ranking bridges and prioritizing retrofit plans. |
| 出版年： | 2022 |
| 期刊名称： | Journal of structural engineering |
| 卷： | 148 |
| 期： | 7 |
| 页码： | 06022002.1-06022002.4 |
相关文献
- Regional Seismic Risk Assessment of Infrastructure Systems through Machine Learning: Active Learning Approach
- Machine Learning–Based Failure Mode Recognition of Circular Reinforced Concrete Bridge Columns: Comparative Study
- Machine Learning Models Applied to a GNSS Sensor Network for Automated Bridge Anomaly Detection
- Machine Learning for Enhanced Regional Seismic Risk Assessments
- Machine Learning Aids Stormwater Fee Assessment
- Probabilistic Machine-Learning Methods for Performance Prediction of Structure and Infrastructures through Natural Gradient Boosting
检索历史
应用推荐
