Risk Management for Beijing Subway Tunnel Construction Using the New Austrian Tunneling Method: A Case Study

2019 ◽  
Author(s):  
Wei Xu ◽  
Bo Liu ◽  
Chunqing Fu ◽  
Yanhui Han ◽  
Xin Ren
Keyword(s):  
Risk Management ◽  
Tunnel Construction ◽  
Subway Tunnel ◽  
Tunneling Method ◽  
Beijing Subway ◽  
New Austrian Tunneling Method

scholarly journals Performance of New Austrian Tunneling Method (NATM) in Weak Rock Case Study

2018 ◽  
Vol 7 (4.20) ◽  
pp. 40
Author(s):  
Heba Kamal ◽  
. .
Keyword(s):  
Finite Element ◽  
Closed Form Solution ◽  
Side Wall ◽  
Form Solution ◽  
Two Dimensional ◽  
Phase 2 ◽  
Actual Case ◽  
Tunneling Method ◽  
New Austrian Tunneling Method

The decline in the over ground utilizable space and increment in development of metro structures, cut and cover structures are winding up fairly difficult to conceptualize and build. In this examination, a nonlinear two dimensional limited component investigation was completed to show the New Austrian Tunneling Method (NATM) burrow developed in frail shake utilizing the business limited component with joint programming PHASE 2.The validity of the numerical modeling procedure performed by the author was checked by making back-analysis for an actual case study of Strengen Tunnel which is one of the biggest expressways in western Austria.  A comprehensive parametric study was performed on a hypothetical circle tunnel. Two dimensional numerical simulations with the finite element with joint software PHASE 2 have been performed to ground behaviour with   the results of the numerical analysis are presented and   discussed for recommendations for future work. In general the tangential stress at side wall and crown  obtained from  finite element with joints are  nearly equal or higher than the closed form solution and equivalent continuum.                                                                                   

scholarly journals Subway Tunnel Construction Settlement Analysis Based on the Combination of Numerical Simulation and Neural Network

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Qiangqiang Ma ◽  
Wentao Li ◽  
Yongjun Zhang
Keyword(s):  
Neural Network ◽  
Numerical Simulation ◽  
Risk Assessment ◽  
Traffic Congestion ◽  
Urban Traffic ◽  
City Size ◽  
Tunnel Construction ◽  
Subway Tunnel ◽  
Settlement Analysis

Under the background of rapid economic development and the continuous expansion of city size, people’s travel is deeply troubled by the problem of urban traffic congestion. Subway is an effective way to relieve traffic pressure and plays an important role in its use. In the process of building the city subway, the excavation of the underground tunnel is the most critical. However, the excavation of the tunnel will inevitably disturb the nearby soil, change the stratum stress conditions, and make the stress distribution uneven. If the surface settlement is too large, it will not only affect the normal construction of the tunnel but also cause damage to the surrounding buildings (structures), roads, underground pipelines, and so on, resulting in very serious malignant consequences. In this study, Cuobuling Station is taken as a case study. First, the construction status of the subway tunnel in the station is analyzed, and then the monitoring results are analyzed. According to the cross-section settlement law, the numerical simulation and neural network are used to build a model, calculate the numerical simulation results, and carry out a risk assessment of regression model. Finally, combined with the tunnel construction situation of the station, according to the risk assessment results, the concrete measures are put forward to deal with the subway tunnel construction settlement problem.

Analysis of the Tunnel Construction and Monitoring Measurement under Complicated Geological Conditions

2011 ◽  
Vol 90-93 ◽  
pp. 2091-2095
Author(s):  
Zhan Fei Gu ◽  
Zhi Kui Liu ◽  
Hong Chi Chen ◽  
Ya Wei Wang
Keyword(s):  
Construction Method ◽  
Surrounding Rock ◽  
Tunnel Construction ◽  
Low Level ◽  
Tunneling Method ◽  
Sandstone Rock ◽  
Geological Conditions ◽  
Single Block ◽  
New Austrian Tunneling Method

In view of certain areas of Guizhou are soft sandstone rock, where single block of rock's hardness is very low and easily crushed, complicated hydrogeology and low level of complex surrounding rock and geological conditions, geological radar prediction is used before the excavation of the tunnel, and New Austrian Tunneling Method was used in the construction. The process of construction segment had been monitored and measured, and the deformation of tunnel had been controlled. According to the situation during excavation and monitoring, the construction method was further improved. Through tracing and monitoring the tunnel construction of from zk40+430 to zk40+630 sections for two months, showed that the tunnel construction method is effective in this paper.

scholarly journals Numerical evaluation of new Austrian tunneling method excavation sequences: A case study

2020 ◽  
Vol 30 (3) ◽  
pp. 381-386
Author(s):  
Hafeezur Rehman ◽  
Abdul Muntaqim Naji ◽  
Wahid Ali ◽  
Muhammad Junaid ◽  
Rini Asnida Abdullah ◽  
...  
Keyword(s):  
Numerical Evaluation ◽  
Tunneling Method ◽  
New Austrian Tunneling Method

scholarly journals Characteristics of Karst Cave Development in Urban Karst Area and Its Effect on the Stability of Subway Tunnel Construction

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Fei Xue ◽  
Minjun Cai ◽  
Tianzuo Wang ◽  
Tongyang Zhao
Keyword(s):  
Numerical Models ◽  
Karst Area ◽  
Risk Level ◽  
Tunnel Construction ◽  
Karst Cave ◽  
Subway Tunnel ◽  
Karst Caves ◽  
Metro Tunnel ◽  
The Stability

The existence of karst caves poses a large threat to safe tunnel construction in a karst area. This paper presents a synthetic method to evaluate the collapse risk before subway tunnel construction with Yang-Jian interval tunnel as a case study. The crosshole seismic Computed Tomography (CT) integrated with Geological Drilling (Geo-D) was first applied to accurately delineate the karst location and its scale. Then, 483 groups of seismic wave CT images were recorded, and 524 karst cave anomalies were found. The height of karst caves in the study area is 1–20 m and mainly concentrated at approximately 5 m. The vertical distance between the karst cave and the tunnel is mainly within 15 m. According to the detection results, a series of numerical models were built and calculated using FLAC3D to investigate the effect of different sizes and locations of karst caves on the displacement and stability of the surrounding rock in tunnels. Afterwards, based on the simulation results, the disturbance degree evaluation index was established to quantitatively evaluate the risk level of karst caves. The evaluation results indicate that the buried depth of the karst cave greatly affects the disturbance degree. No treatment is required for the deeply buried karst cave that is more than 7 m from the tunnel. When the distance between the cave and the tunnel is less than 7 m, there is a critical size of the cave. Karst caves that are larger than that critical value must be filled with a single slurry or binary slurry before tunnel construction to eliminate the risk of tunnel collapse. This study can be used to provide a more efficient and economical program for metro tunnel construction above a karst cave.

Finding Best Model to Forecast Construction Duration of Road Tunnels with New Austrian Tunneling Method Using Bayesian Inference

2015 ◽  
Vol 2522 (1) ◽  
pp. 113-120 ◽  
Author(s):  
Seyedmohammadhossein Hosseinian ◽  
Kenneth F. Reinschmidt
Keyword(s):  
Risk Management ◽  
Bayesian Inference ◽  
Probabilistic Approach ◽  
Project Managers ◽  
Past Performance ◽  
Highway Tunnel ◽  
Tunneling Method ◽  
Road Tunnels ◽  
Natm Tunnel ◽  
New Austrian Tunneling Method

Forecasting project final duration (i.e., time at completion) is crucial to project risk management and is always sought by project managers during the construction period. Because of a strong correlation between past and future performances in linear projects, past progress data are the best source of information to forecast final duration of this type of project, including tunneling projects constructed by the new Austrian tunneling method (NATM). Bayesian inference is a robust probabilistic approach that can provide accurate forecasts of final duration based on a project's past performance. However, results of research in this field have shown that selecting an appropriate model, which represents the unknown pattern of the project's actual progress well, is the most challenging and subjective part of this approach. Effective risk management necessitates looking for the best model that can forecast project final duration accurately and precisely, especially early in the project. This research was aimed at finding a best progress model for NATM tunneling projects by conducting Bayesian analysis on available data of a massive project, the Niayesh highway tunnel in Iran. The analysis showed that the dual Gompertz function (with flexible lower asymptote) was the most reliable model for this purpose. The results of this research bring advantages to the planning and risk management of NATM tunneling projects, which are discussed in this paper, and can be very useful for future NATM tunnel constructions.

A CASE STUDY FOR EXAMINATION OF EFFECTIVENESS OF THE SAFEGUARDING SUPPORTIVE SYSTEM AT A TUNNEL CONSTRUCTION SITE

2019 ◽  
Vol 75 (2) ◽  
pp. I_99-I_107
Author(s):  
Shoken SHIMIZU ◽  
Junichiro YONETAKE ◽  
Takahiko SHOBU ◽  
Makoto IMAI ◽  
Shinichi YAMAMOTO ◽  
...  
Keyword(s):  
Tunnel Construction ◽  
Construction Site
Sign in / Sign up

Export Citation Format

Share Document