Performance analysis of tunnel-boring machine by probabilistic systems approach

Author:

Khorasani Emad1,Zare Naghadehi Masoud2ORCID,Jimenez Rafael3,Tarigh Azali Sadegh4,Jalali Seyed-Mohammad Esmaeil5,Zare Shokrollah5

Affiliation:

1. PhD Candidate, Faculty of Mining Engineering, College of Engineering, University of Tehran, Tehran, Iran

2. Assistant Professor, Department of Mining Engineering, Hamedan University of Technology, Hamedan, Iran (corresponding author: , )

3. Professor, ETSI Caminos, Canales y Puertos, Technical University of Madrid (UPM), Madrid, Spain

4. Executive, Tehran Urban & Suburban Railway Group of Companies, Tehran, Iran

5. Associate Professor, Faculty of Mining, Petroleum and Geophysics, Shahrood University of Technology, Shahrood, Iran

Abstract

In this paper, the performance of an earth pressure balance tunnel-boring machine (EPB-TBM) during tunnel construction is analysed. A case study with data from the east–west part of the Tehran metro line 7 is employed to develop a methodology. Several parameters of different types that influence TBM operations in soft ground are identified and analysed, and the probabilistic systems approach is utilised to interpret the interactions between pairs of parameters. For this purpose, the probabilistic expert semi-quantitative and Monte Carlo simulation techniques have been employed. An index is developed to calculate the utilisation along the studied tunnel path. The results have been compared with real utilisation factor values from the project, showing an excellent agreement between estimations and observations.

Publisher

Thomas Telford Ltd.

Subject

Earth and Planetary Sciences (miscellaneous),Geotechnical Engineering and Engineering Geology

Cited by 10 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Investigation into the Electrohydraulic Synchronous Motion Control of a Thrust System for a Tunnel Boring Machine;Machines;2022-02-08

2. Editorial;P I CIVIL ENG-GEOTEC;2021

3. Editorial;Proceedings of the Institution of Civil Engineers - Geotechnical Engineering;2021-08

4. Prediction of TBM penetration rate using the imperialist competitive algorithm (ICA) and quantum fuzzy logic;Innovative Infrastructure Solutions;2021-03-01

5. Application of ANN-PSO algorithm based on FDM numerical modelling for back analysis of EPB TBM tunneling parameters;European Journal of Environmental and Civil Engineering;2020-07-24

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