Analysis of Warning Threshold of Tunnel Monitoring and Measurement Based on Probability Statistics

Journal: Architecture Engineering and Science DOI: 10.32629/aes.v2i3.510

Jianbing Qian

China Design Group Co. Ltd., Nanjing 210001, Jiangsu, China

Abstract

In the process of tunnel construction, data on deformation monitoring magnifies the direct reflection of the stability of tunnel structure, and the setting of early warning value is more related to the safety of project construction. In this paper, a tunnel project is taken as an example, and based on a large number of previous engineering practices and the statistical characteristics of monitoring data, the probability statistics method is used to obtain the warning threshold, which is used to give suggestions for the construction of the tunnel project and provide technical reference for the monitoring and warning management of similar tunnel construction.

Keywords

statistical analysis, tunnel, monitoring and measurement, warning threshold

Full Text

PDF - Viewed/Downloaded: 33 Times

References

[1] Liu Qingfeng, Liu Qingzhi. Analysis of statistical characteristics and reserved deformation of tunnel monitoring data based on interval estimation method[J]. Modern Tunnelling Technology. 2020; 057 (001): 142-147, 161.
[2] Qiu Zifeng, Shen Jian, Fu Xudong, et al. Analysis of tunnel monitoring and measurement data based on the optimum weighted combinatorial prediction model[J]. Journal of Yangtze River Scientific Research Institute. 2016; (5): 53-57.
[3] Sun Jun, Wen Haiyang. Application practice of artificial intelligence science in prediction and control of engineering construction deformation under soft soil -- Theoretical basis, method implementation, refined intelligent management(Demonstrations)[J]. Tunnel Construction (English and Chinese Version). 2020; 040 (001): 1-8.
[4] Hu Xianjin, Wang Zheng, Ren Ziqi. Data Processing and analysis of tunnel monitoring and measurement[J]. Communications Science and Technology Heilongjiang. 2016; 39 (004): 119-120.
[5] Qiu Zifeng, Shen Jian, Fu Xudong, et al. Analysis of tunnel monitoring data based on optimal weighted combination prediction[J]. Journal of Yangtze River Scientific Research Institute. 2016; 33 (5): 5.
[6] Liu Zhinan, Yu Hailong. Application of tsp technology in geological advanced prediction of mount langya mountain tunnel[J]. Engineering and Construction. 2018; 32 (6): 33-35.
[7] Liu Gaohong, Wu Enqi, Min Rui, Hou Tianfan, Wang Xiaohui. Fault Prediction of rectangular shield Eccentric Cutter Head Based on Optimized BP Network[J]. Software Guide. 2020; 19 (10): 117-121.
[8] Zhao Ruichuan, Liu Chang, Zhang Guodong. Research on measurement data analysis and system development of tunnel construction monitoring[J]. Journal of Highway and Transportation Research and Development. 2018; 000 (005): 254-255.

Citing this article:

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License