Time series analysis of tunnel underlining cracks based on temperature effects
- DOI
- 10.2991/978-94-6463-336-8_22How to use a DOI?
- Keywords
- lining crack width; autocorrelation coefficient; residual analysis; partial correlation coefficient; time series
- Abstract
Based on the crack width data monitored during the operation period of a tunnel in Dali, the development of the lining cracks in the tunnel was analyzed in terms of temperature changes. The crack widths were converted to the same condition at each temperature interval. The analysis found that the tunnel lining cracks and temperature changes will show a positive correlation trend, and converted to the same conditions under the temperature will show a linear relationship with the increase of time. Based on the appealing characteristics, the time series modeling method is used to establish a model of temperature and tunnel lining cracks, and the model is applied to make relevant predictions on the development of lining cracks in the short term. The results show that the model has a high accuracy.
- Copyright
- © 2023 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Weidong Jin AU - Shunchao Chen AU - Zhikui Yang AU - Jie Chen PY - 2023 DA - 2023/12/30 TI - Time series analysis of tunnel underlining cracks based on temperature effects BT - Proceedings of the 2023 9th International Conference on Architectural, Civil and Hydraulic Engineering (ICACHE 2023) PB - Atlantis Press SP - 199 EP - 208 SN - 2352-5401 UR - https://doi.org/10.2991/978-94-6463-336-8_22 DO - 10.2991/978-94-6463-336-8_22 ID - Jin2023 ER -