Underground Tunnel Development Survey of Shield Tunnelling Machine

2011 ◽  
Vol 299-300 ◽  
pp. 1111-1114
Author(s):  
Xue Sen Chang
Keyword(s):  
Earth Pressure ◽  
Site Investigation ◽  
Construction Technology ◽  
Pressure Balance ◽  
Underground Engineering ◽  
Shield Tunnelling ◽  
Working Principle ◽  
Earth Pressure Balance ◽  
Mining Water ◽  
Underground Transportation

In this paper, the technology based on site investigation adequately, through reading, analysis and comprehensive vast literature of shield lining segments, installed spelling were analyzed, and the conclusion that some valuable conclusions. Summarizes the construction process of shield technology, and introduces the earth pressure balance type shield construction machine structure and working principle. Shield technology is with modern transportation, underground engineering, mining, water conservancy projects and municipal construction needs and developed advanced tunnel construction technology. With China's urban underground transportation facilities, the quickening of the process of shield technology has become the hotspot of domestic engineering.

Surface settlement during shield tunnelling at CH218 in Taipei

1998 ◽  
Vol 35 (1) ◽  
pp. 159-168 ◽  
Author(s):  
Chang-Yu Ou ◽  
Richard N Hwang ◽  
Wei-Jung Lai
Keyword(s):  
Ground Surface ◽  
Earth Pressure ◽  
Surface Settlement ◽  
Pressure Balance ◽  
Transit System ◽  
Ground Surface Settlement ◽  
Earth Pressure Balance Shield ◽  
Shield Tunnelling ◽  
Earth Pressure Balance ◽  
Twin Tunnels

This paper presents the surface settlement performance induced by the foamed type of earth pressure balance shield in contract CH218 of the Hsintien Line of the Taipei Rapid Transit System. The surface settlement characteristics caused by the single tunnel and by twin tunnels with reference to two sections spaced at 87 m are studied. Field observations indicate that the surface settlement trough due to the single tunnel can be represented by the normal distribution. The distance of the inflection point to the tunnel center and maximum surface settlement value are consistent with those found in the literature. The characteristics of the surface settlement trough are related to the type of the soil, particularly where the crown of the tunnel is located in a layered soil deposit. The ground surface settlement induced by twin tunnels was found to be larger than estimated using the principle of superposition.Key words: shield tunnelling, surface settlement, field observation.

Predicted versus measured soil movements induced by shield tunnelling in the Madrid Metro extension

2005 ◽  
Vol 42 (4) ◽  
pp. 1160-1172 ◽  
Author(s):  
Manuel Melis Maynar ◽  
Luis Medina Rodriguez
Keyword(s):  
Numerical Model ◽  
Numerical Modelling ◽  
Earth Pressure ◽  
Pressure Balance ◽  
Ground Movements ◽  
The Earth ◽  
Shield Tunnelling ◽  
Earth Pressure Balance ◽  
Numerical Modelling And Analysis ◽  
Soil Movements

A detailed study on the available methods of predicting ground movements due to tunnelling works was carried out during the construction of the Madrid Metro extensions in 1995–1999 and 1999–2003. A total of 100 km were built and commissioned during this period. A numerical model was developed to simulate the earth pressure balance (EPB) excavation procedure and to complement some of the deficiencies found in previous analytical or empirical subsidence estimation procedures. Before the beginning of the works, a total of six different methods were used to estimate ground movements generated by the tunnelling works at some monitored sections placed in all five cities linked by the 1999–2003 extension, and the estimations were published in an earlier paper in this journal. Once all tunnelling works were finished and actual measurements carried out, a number of comparisons between predictions and measurements were made and are included in this paper. Conclusions about the applicability and accuracy of the methods are established with the aim of helping researchers and engineers in their future projects.Key words: ground movements, monitoring, numerical modelling and analysis, settlement, tunnels.

Prediction and analysis of subsidence induced by shield tunnelling in the Madrid Metro extension

2002 ◽  
Vol 39 (6) ◽  
pp. 1273-1287 ◽  
Author(s):  
Manuel Melis ◽  
Luis Medina ◽  
José M Rodríguez
Keyword(s):  
Earth Pressure ◽  
Tunnel Construction ◽  
Pressure Balance ◽  
Ground Movements ◽  
Construction Methods ◽  
The Earth ◽  
Predictive Methods ◽  
Shield Tunnelling ◽  
Earth Pressure Balance ◽  
Numerical Modelling And Analysis

The development of tunnelling projects under heavily populated cities has been rapidly increasing around the world during the last decades. Since tunnel construction can have disastrous effects on buildings, structures, and utilities near the excavation, construction methods have necessarily to provide maximum safety inside and outside the tunnel. To predict and correct dangerous ground movements due to the tunnelling works, the authors developed a numerical model to simulate the earth pressure balance (EPB) excavation procedure and injection to complement some deficiencies found in previous analytical or empirical subsidence estimating procedures. This model takes into account the full excavation sequence and has been validated by a large amount of monitoring data from the previous Madrid Metro extension. In the present paper, several predictive methods are used to predict the ground movements generated during a new Madrid Metro extension project consisting of 48 km of tunnel (1999–2003). At the end of the works the results will be compared with data from monitored sections placed in all five cities linked by the extension. Conclusions about the applicability and accuracy of the methods will be established with the aim of helping researchers and engineers in their future projects.Key words: ground movements, monitoring, numerical modelling and analysis, settlement, tunnels.

scholarly journals CHOOSING TBM FOR TABRIZ SUBWAY USING MULTI CRITERIA METHOD

2010 ◽  
Vol 16 (4) ◽  
pp. 531-539 ◽  
Author(s):  
Kamaladdin Edalat ◽  
Mohammad Javad Vahdatirad ◽  
Hadi Ghodrat ◽  
Sarah Firouzian ◽  
Amin Barari
Keyword(s):  
Urban Areas ◽  
Earth Pressure ◽  
Environmental Parameters ◽  
Pressure Balance ◽  
Underground Engineering ◽  
Railway Line ◽  
Earth Pressure Balance ◽  
Boring Machines ◽  
Under Construction ◽  
High Level

The world of underground engineering and construction has acquired a wide‐ranging and high‐level experience on tunnel construction with Tunnel Boring Machines (TBM) and nowadays remarkable progresses are traceable in the number of tunnels that are becoming longer, going deeper, and growing larger in diameter and in other words becoming more difficult to realize. Tabriz‐one of the big cities in northern west of Iran has four subway lines which are under construction or investigation. The phase1 design of Tabriz urban railway line 2 (TURL2) has completely been done. Method statement of this line in the length of about 20 km and much interference due to tunneling in urban area dictates the application of TBM. Two kinds of TBM such as EPB (earth pressure balance) and SS (slurry shield) are usually used for urban areas. In this paper, the process of choosing TBM for TURL2 using MCA method (Multi Criteria Analysis) is expressed. Generally in this method some technical, economical and environmental parameters affected the TBM type are identified and taken into account by assigned weights related to the case study. Finally the results show that EPB‐TBM will be more appropriate choice for TURL2 excavation. Santrauka Potemine intinerija ir statyba labai išplito bei igijo aukšto lygmens patirti tuneliu statyboje emus naudoti tuneliu gretimo mašinas (TGM). Šis statybos būdas taikytas statant daug tuneliu, kurie vis ilgeja, gileja ir plateja pagal skersmeni, t. y. statyba realizuojama sunkiau. Tabrize – viename iš didtiausiu šiaures vakaru Irano miestu – yra keturios statomos arba planuojamos statyti metro linijos. Tabrizo miesto geletinkelio 2‐os linijos (TMG2L) pirmoji projektavimo faze yra baigta. Jos ilgis – 20 km, daug jos atkarpu eina po teme. Poteminems atkarpoms pastatyti gali būti naudojamos dvieju tipu TGM. Tai temes slegines pusiausvyros mašina (TSPM) arba suspensijos skydo mašinos (SSM). Šiame straipsnyje nagrinejamas TGM pasirinkimas tarp TSPM ir SSM taikant daugiatiksli sprendimu priemimo metoda (DSPM). Šiam metodui pritaikyti apibretiami tam tikri techniniai, ekonominiai ir aplinkos rodikliai, darantys itaka TGM tipui. Rodikliams priskiriami svoriai. DSPM taikymo rezultatai parode, kad TSPM yra tinkamesne TMG2L kasti.

scholarly journals Optimized Adaptive Neuro-Fuzzy Inference System Using Metaheuristic Algorithms: Application of Shield Tunnelling Ground Surface Settlement Prediction

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-15
Author(s):  
Xinni Liu ◽  
Sadaam Hadee Hussein ◽  
Kamarul Hawari Ghazali ◽  
Tran Minh Tung ◽  
Zaher Mundher Yaseen
Keyword(s):  
Fuzzy Inference System ◽  
Fuzzy Inference ◽  
Earth Pressure ◽  
Ground Settlement ◽  
Pressure Balance ◽  
Inference System ◽  
Neuro Fuzzy ◽  
Shield Tunnelling ◽  
Earth Pressure Balance ◽  
Epb Shield

Deformation of ground during tunnelling projects is one of the complex issues that is required to be monitored carefully to avoid the unexpected damages and human losses. Accurate prediction of ground settlement (GS) is a crucial concern for tunnelling problems, and the adequate predictive model can be a vital tool for tunnel designers to simulate the ground settlement accurately. This study proposes relatively new hybrid artificial intelligence (AI) models to predict the ground settlement of earth pressure balance (EPB) shield tunnelling in the Bangkok MRTA project. The predictive models were various nature-inspired frameworks, such as differential evolution (DE), particle swarm optimization (PSO), genetic algorithm (GA), and ant colony optimizer (ACO) to tune the adaptive neuro-fuzzy inference system (ANFIS). To obtain the accurate and reliable results, the modeling procedure is established based on four different dataset scenarios including (i) preprocessed and normalized (PPN), (ii) preprocessed and nonnormalized (PPNN), (iii) non-preprocessed and normalized (NPN), and (iv) non-preprocessed and nonnormalized (NPNN) datasets. Results indicated that PPN dataset scenario significantly affected the prediction models in terms of their perdition accuracy. Among all the developed hybrid models, ANOFS-PSO model achieved the best predictability performance. In quantitative terms, PPN-ANFIS-PSO model attained the least root mean square error value (RMSE) of 7.98 and a correlation coefficient value (CC) of 0.83. Overall, the attained results confirmed the superiority of the explored hybrid AI models as robust predictive model for ground settlement of earth pressure balance (EPB) shield tunnelling.

Transportation Matching Design of Earth Pressure Balance Shield in Medium Distance Tunnel

2011 ◽  
Vol 368-373 ◽  
pp. 2526-2532
Author(s):  
Yu Jia ◽  
Long Cai Yang ◽  
Jian Guo Liu
Keyword(s):  
Influence Factors ◽  
Earth Pressure ◽  
Pressure Balance ◽  
Transport Organization ◽  
Earth Pressure Balance Shield ◽  
Water Conveyance ◽  
Shield Tunnelling ◽  
Earth Pressure Balance ◽  
Construction Efficiency ◽  
Water Conveyance Tunnel

Aiming at medium distance transportation of excavated spoil and constructional components in the tunnelling process, this paper combines with a water-conveyance tunnel engineering and analyzes the influence factors that affect the construction efficiency of earth pressure balance shield(EPB shield), and then works out an available scheme based on that the transport link should well match with shield tunnelling. The field condition indicates that the equipment lectotype, marshaling and transport organization in this scheme guarantee the transport capacity and continuity for tunnelling, which ensures construction progress. The idea in this design can provide similar engineering with reference.

Geological Adaptive Cutterhead Selection for EPB Shield Based on BP Neural Network

2014 ◽  
Vol 607 ◽  
pp. 118-123
Author(s):  
Lai Kuang Lin ◽  
Yi Min Xia ◽  
Fei He ◽  
Qing Song Mao ◽  
Kui Zhang
Keyword(s):  
Neural Network ◽  
Bp Neural Network ◽  
Earth Pressure ◽  
Training Model ◽  
Structure Design ◽  
Pressure Balance ◽  
Selection For ◽  
Earth Pressure Balance ◽  
Set Up ◽  
Epb Shield

In view of complex and fuzziness of geological adaptive cutterhead selection for earth pressure balance (EPB) shield, a cutterhead selection method based on BP neural network is put forward. Considering the structure characteristics of EPB shield cutterhead, typical cutterhead types are classified and summarized based on cutterhead topology structure and number of spokes. After analyzing the determinants of cutterhead selection, one-to-many mapping relation between cutterhead type and geological parameters is put forward, and then core geologic parameters related to cutterhead selection are concluded. The feasibility of using neural network method to choose the cutterhead type is analyzed, and a BP neural network training model for cutterhead selection is set up and tested in testing sample data. The result shows that the selected cutterhead and the construction cutterhead are basically consistent. The feasibility of this method is proved and it can be theoretical basis for the cutterhead structure design which will improve scientific of cutterhead selection.

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