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Author:

Toth, Akos (Toth, Akos.) | Gong, Qiuming (Gong, Qiuming.) (Scholars:龚秋明) | Zhao, Jian (Zhao, Jian.)

Indexed by:

EI Scopus SCIE

Abstract:

This paper investigates the performance of tunnel boring machines (TBMs) in rock-soil mixed-face ground based on TBM tunneling projects in Singapore. Currently several methods are available to estimate TBM tunneling performance in homogenous rock or soil. However, the existing models cannot be effectively applied to predict TBM penetration rate in mixed ground. The tunnels in this study were excavated in adverse mixed-face ground conditions. The geological profiles and the TBM operational parameters are compiled and analyzed. The influence of different geological face compositions on the performance of the TBMs is studied. The statistical analysis shows that there is a possible correlation between the mixed-face ground characteristics and the TBM advancement. Different approaches are used to find a reliable model. Finally, a method is proposed to predict the TBM performance in mixed-face ground for project planning and optimization. (C) 2013 Elsevier Ltd. All rights reserved.

Keyword:

Tunneling TBM Performance analysis Penetration rate Mixed-face ground

Author Community:

  • [ 1 ] [Toth, Akos]Ecole Polytech Fed Lausanne, Sch Architecture Civil & Environm Engn, Lab Rock Mech LMR, EPFL ENAC LMR,Stn 18, CH-1015 Lausanne, Switzerland
  • [ 2 ] [Zhao, Jian]Ecole Polytech Fed Lausanne, Sch Architecture Civil & Environm Engn, Lab Rock Mech LMR, EPFL ENAC LMR,Stn 18, CH-1015 Lausanne, Switzerland
  • [ 3 ] [Gong, Qiuming]Beijing Univ Technol, Ministiy Educ, Key Lab Urban Secur & Disaster Engn, Beijing 100124, Peoples R China

Reprint Author's Address:

  • [Toth, Akos]Ecole Polytech Fed Lausanne, Sch Architecture Civil & Environm Engn, Lab Rock Mech LMR, EPFL ENAC LMR,Stn 18, CH-1015 Lausanne, Switzerland

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Source :

TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY

ISSN: 0886-7798

Year: 2013

Volume: 38

Page: 140-150

6 . 9 0 0

JCR@2022

ESI Discipline: ENGINEERING;

JCR Journal Grade:1

CAS Journal Grade:3

Cited Count:

WoS CC Cited Count: 125

SCOPUS Cited Count: 146

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 6

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