Version 1
: Received: 2 July 2021 / Approved: 5 July 2021 / Online: 5 July 2021 (08:05:05 CEST)
How to cite:
Li, H.; Xu, Q.; Liu, Y. Method for Diagnosing the Uneven Settlement of a Rail Transit Tunnel Based on the Spatial Correlation of High-Density Strain Measurement Points. Preprints2021, 2021070078. https://doi.org/10.20944/preprints202107.0078.v1
Li, H.; Xu, Q.; Liu, Y. Method for Diagnosing the Uneven Settlement of a Rail Transit Tunnel Based on the Spatial Correlation of High-Density Strain Measurement Points. Preprints 2021, 2021070078. https://doi.org/10.20944/preprints202107.0078.v1
Li, H.; Xu, Q.; Liu, Y. Method for Diagnosing the Uneven Settlement of a Rail Transit Tunnel Based on the Spatial Correlation of High-Density Strain Measurement Points. Preprints2021, 2021070078. https://doi.org/10.20944/preprints202107.0078.v1
APA Style
Li, H., Xu, Q., & Liu, Y. (2021). Method for Diagnosing the Uneven Settlement of a Rail Transit Tunnel Based on the Spatial Correlation of High-Density Strain Measurement Points. Preprints. https://doi.org/10.20944/preprints202107.0078.v1
Chicago/Turabian Style
Li, H., Qianen Xu and Yang Liu. 2021 "Method for Diagnosing the Uneven Settlement of a Rail Transit Tunnel Based on the Spatial Correlation of High-Density Strain Measurement Points" Preprints. https://doi.org/10.20944/preprints202107.0078.v1
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, distributed optical fiber sensing technology is implemented to obtain a massive amount of strain data from densely distributed measurement points along regional railway tunnels, and 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; this approach realizes the accurate identification of the uneven settlement area of long-distance urban railway tunnels. Finally, the effectiveness of the proposed method is verified by numerical simulation and actual tunnel data.
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
