Loading...
Please wait, while we are loading the content...
Similar Documents
Ratio-based features for data-driven bridge monitoring and damage detection
| Content Provider | Scilit |
|---|---|
| Author | Döring, A. Waibel, P. Matthes, J. Scherer, O. Keller, H. B. Keller, S. Müller, J. Schneider, O. |
| Copyright Year | 2021 |
| Description | Due to the increasing age of and load on traffic bridges, there is a high demand for systems to monitor the structure of traffic bridges and detect possible damage. This paper presents a data-driven approach to detect damage in bridge structures. Strain data was measured while the bridge was excited by single-vehicle crossings. The proposed feature generation methods focus on ratio-based features that are weight- and velocity-independent of the generally unknown vehicle parameters. The calculated features were used for a supervised classification approach, where damage location and severity was known. Also an unsupervised anomaly detection was considered, where only the deviation to a reference state is analysed. Evaluation was based on the data of a two-span beam bridge, where numerical data and experimental data were considered for a step-by-step damage of the bridge. The results show that the ratio-based features provide a high degree of accuracy for classifying the bridge damage and also allow the calculation of a distance to the reference state. Book Name: Bridge Maintenance, Safety, Management, Life-Cycle Sustainability and Innovations |
| Related Links | https://api.taylorfrancis.com/content/chapters/edit/download?identifierName=doi&identifierValue=10.1201/9780429279119-346&type=chapterpdf |
| Ending Page | 2541 |
| Page Count | 10 |
| Starting Page | 2532 |
| DOI | 10.1201/9780429279119-346 |
| Language | English |
| Publisher | Informa UK Limited |
| Publisher Date | 2021-04-19 |
| Access Restriction | Open |
| Subject Keyword | Book Name: Bridge Maintenance, Safety, Management, Life-cycle Sustainability and Innovations Mechanical Engineering Structures Bridge Damage Ratio Based Features Considered |
| Content Type | Text |
| Resource Type | Chapter |
