Abstract
Rail transit tunnels span long distances, are large-scale structures and pass through complicated geological conditions; thus, the risk of uneven settlement cannot be ignored. To address this issue, a method for diagnosing the uneven settlement of regional railway tunnels based on the spatial correlation of high-density strain measurement points is proposed in this study. First, with the distributed optical fiber sensing technology, a method for determining the intervals of strain measurement points with strong spatial correlations is proposed based on a support vector machine. Second, combined with the statistical analysis of the influence range of the uneven settlement of a tunnel, an algorithm for diagnosing the uneven settlement of regional railway tunnels based on the spatial correlation of high-density strain measurement points is proposed. Finally, the effectiveness of the proposed method is verified by numerical simulation and actual tunnel data.
| Original language | English |
|---|---|
| Article number | 9245 |
| Journal | Sustainability (Switzerland) |
| Volume | 13 |
| Issue number | 16 |
| DOIs | |
| State | Published - 2 Aug 2021 |
| Externally published | Yes |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 7 Affordable and Clean Energy
Keywords
- Distributed optical fiber sensing technique
- Rail transit tunnel
- Structural condition assessment
- Structural uneven settlement
- Support vector machine
Fingerprint
Dive into the research topics of 'Method for diagnosing the uneven settlement of a rail transit tunnel based on the spatial correlation of high-density strain measurement points'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver