Title of article :
RAM analysis ofearth pressure balance tunnel boring machines: A case study
Author/Authors :
Amini، Hasel نويسنده Faculty of Mining, Petroleum and Geophysics, University of Shahrood, Shahrood, Iran Amini, Hasel , Torabi، Seyed Rahman نويسنده Faculty of Mining, Petroleum and Geophysics, University of Shahrood, Shahrood, Iran Torabi, Seyed Rahman , Hoseinie، Seyed Hadi نويسنده Department of Mining Engineering, Hamedan University of Technology, Hamedan, Iran Hoseinie, Seyed Hadi , Ghodrati، Behzad نويسنده Division of operation and maintenance, Lulea University of technology, Lulea, Sweden Ghodrati, Behzad
Issue Information :
دوفصلنامه با شماره پیاپی 0 سال 2015
Abstract :
Earth pressure balance tunnel boring machines (EPB-TBMs) are favorably applied in urban tunneling
projects. Despite their numerous advantages, considerable delays and high maintenance cost are the
main disadvantages these machines suffer from. Reliability, availability, and maintainability (RAM)
analysis is a practical technique that uses failure and repair dataset obtained over a reasonable time for
dealing with proper machine operation, maintenance scheduling, cost control, and improving the
availability and performance of such machines. In the present study, a database of failures and repairs
of an EBP-TBM was collected in line 1 of Tabriz subway project over a 26-month interval of machine
operation. In order to model the reliability of the TBM, this machine was divided into five distinct
subsystems including mechanical, electrical, hydraulic, pneumatic, and water systems in a series
configuration. According to trend and serial correlation tests, the renewal processes were applied, for
analysis of all subsystems. After calculating the reliability and maintainability functions for all
subsystems, it was revealed that the mechanical subsystem with the highest failure frequency has the
lowest reliability and maintainability. Similarly, estimating the availability of all subsystems indicated
that the mechanical subsystem has a relatively low availability level of 52.6%, while other subsystems
have acceptable availability level of 97%. Finally, the overall availability of studied machine was
calculated as 48.3%.
Journal title :
International Journal of Mining and Geo-Engineering
Journal title :
International Journal of Mining and Geo-Engineering