|Appears in Collections:||Management, Work and Organisation Journal Articles|
|Peer Review Status:||Refereed|
|Title:||Assessing Prediction Models of Advance Rate in Tunnel Boring Machines — A Case Study in Iran|
|Citation:||Oraee K & Salehi B (2013) Assessing Prediction Models of Advance Rate in Tunnel Boring Machines — A Case Study in Iran, Arabian Journal of Geosciences, 6 (2), pp. 481-489.|
|Abstract:||Tunnel boring machine applies in tunnel construction and in mining operation. During the last years, different methods have been introduced to analyze and assess suitable operations of digging systems presented. These methods are divided in two groups: (1) the first group is based on mathematical equations and shear strength applied on each cutter, (2) the second group is based on databanks and experimental relationship. This paper compares and analyzes two experimental methods as introduced by Barton and Norwegian Institute of Technology (NTNU) as well as using a mathematic model introduced by Colorado School of Mines and analyzed the validity scope of each of them. A case study is made in the 16-km Karaj-Tehran water supply tunnel. At the end, it is concluded that mathematical models are not suitable because they are highly dependent on the results of special laboratory tests; also, it attends less to rock mass characteristics. In jointed or nonhomogen rocks, as well as in this project with less value of laboratory data, using Barton model is more creditable. It enjoys high ability for definite measurement. Also, NTNU model attend to machine parameters and in case of availability of laboratory tests data, NTNU model is a suitable method. According to the available information and executing conditions of Karaj- Tehran water supply tunnel project including geology of area, experimental parameters, etc, the Barton method is more valid than the other methods.|
|Rights:||The publisher does not allow this work to be made publicly available in this Repository. Please use the Request a Copy feature at the foot of the Repository record to request a copy directly from the author. You can only request a copy if you wish to use this work for your own research or private study.|
|10.1007_s12517-011-0339-y.pdf||621.99 kB||Adobe PDF||Under Permanent Embargo Request a copy|
Note: If any of the files in this item are currently embargoed, you can request a copy directly from the author by clicking the padlock icon above. However, this facility is dependent on the depositor still being contactable at their original email address.
This item is protected by original copyright
Items in the Repository are protected by copyright, with all rights reserved, unless otherwise indicated.
If you believe that any material held in STORRE infringes copyright, please contact email@example.com providing details and we will remove the Work from public display in STORRE and investigate your claim.