Statistical Characteristics of Stress Changes in Tunnel Surrounding Rock Based on Random Discrete Variability of Geotechnical Materials

Author:

Jiang Rong12,Yang Zhao3,Chen Song45ORCID,Yuan Ying2,Liu Liang6

Affiliation:

1. Shanxi Geological Group Co., Ltd., Taiyuan 030006, China

2. College of Urban Geology and Engineering, Hebei GEO University, Shijiazhuang 050031, China

3. Guangdong Hualu Transport Technology Co., Ltd., Guangzhou 510420, China

4. Hebei Key Laboratory of Optoelectronic Information and Geo-detection Technology, Hebei GEO University, Shijiazhuang 050031, China

5. Key Laboratory of Intelligent Detection and Equipment for Underground Space of Beijing-Tianjin-Hebei Urban Agglomeration, Ministry of Natural Resources, Hebei GEO University, Shijiazhuang 050031, China

6. The Eighth Geological Brigade, Hebei Bureau of Geology and Mineral Resources Exploration, Qinhuangdao 066001, China

Abstract

In the construction of underground engineering, the determination of surrounding rock stresses has important theoretical significance for the design of tunnel structure reliability. In this paper, the nonlinear criterion is introduced to modify and improve the friction resistance in the calculation formula of Bierbaumer’s loose surrounding rock stresses, and the improved application is carried out in view of the situation of composite formation. Due to the variability and discreteness of geotechnical parameters, combined with engineering examples, Monte Carlo random sampling is carried out for various geotechnical parameters in engineering, and the characteristics of loose surrounding rock stresses are analyzed from the perspective of statistical reliability by using the improved shallow tunnel formula. By using the standard regression coefficient, the weight influence of the parameters in various shallow surrounding rock stress formulas is analyzed, and the confidence degree of the calculated results of various formulas is analyzed from a statistical point of view, which verifies the rationality of the improved formula in the statistical sense.

Funder

Hebei Education Department

National Preresearch Funds of Hebei GEO University

Hebei Province

Hebei GEO University

Publisher

MDPI AG

Subject

Fluid Flow and Transfer Processes,Computer Science Applications,Process Chemistry and Technology,General Engineering,Instrumentation,General Materials Science

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