可靠性(半导体)
理论(学习稳定性)
蒙特卡罗方法
流离失所(心理学)
岩土工程
结构工程
工程类
地质学
数学
计算机科学
统计
物理
量子力学
心理学
机器学习
功率(物理)
心理治疗师
作者
Xiaoping Zhou,Xiaocheng Huang,LI Jin-xin
出处
期刊:International Journal of Geomechanics
[American Society of Civil Engineers]
日期:2018-11-01
卷期号:18 (11)
被引量:21
标识
DOI:10.1061/(asce)gm.1943-5622.0001245
摘要
This paper aims to propose a new method to analyze the stability of a tunnel using P-wave seismic velocity (Vp) with the help of the Tunnel Seismic Prediction 203 plus system (TSP203PLUS). On one hand, the relationship between Hoek-Brown constants such as the geological strength index (GSI) and the disturbed parameter (D) and Vp is investigated. On the other hand, the displacement of the tunnel is derived using the Hoek-Brown criterion, but it is hard to determine the Hoek-Brown constants because uncertainties are abundant in geomaterials. Fortunately, Vp can be read from TSP203PLUS, which is an essential approach to predict geohazards in tunnels, and it is widely used during tunnel excavation. A series of parameters such as Young’s modulus, Poisson’s ratio, and the Vp of rocks can be read from TSPwin (the software for processing data in TSP203PLUS). However, a precise prediction of Vp and other parameters depends mostly on the experience of the engineers. In order to eliminate the uncertainties due to the different engineers, it is reasonable to standardize the parameters as normal variables; then the stability of the tunnel can be calculated based on the response surface method (RSM), and the stability of the tunnel is represented by the probability of failure. To demonstrate the usefulness of this approach, a tunnel located in China is assessed and the results are validated by Monte Carlo simulations. The proposed method provides a convenient and effective method to study the reliability assessment of tunnels.
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