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Appears in Collections:Management, Work and Organisation Conference Papers and Proceedings
Peer Review Status: Refereed
Authors: Oraee, Kazem
Khorami, M Tayebi
Hosseini, Navid
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Title: Prediction of the penetration rate of tbm using adaptive neuro fuzzy inference system (ANFIS)
Citation: Oraee K, Khorami MT & Hosseini N (2012) Prediction of the penetration rate of tbm using adaptive neuro fuzzy inference system (ANFIS) 2012 SME Annual Meeting & Exhibit 2012 (SME 2012): From Mine to Market, Now It's Global, 2012 SME Annual Meeting & Exhibit 2012 (SME 2012): From the Mine to the Market, Now It's Global, Seattle, WA, USA, 19.2.2012 - 22.2.2012, Littleton, CO, USA: Society for Mining, Metallurgy & Exploration, pp. 297-302.
Issue Date: 19-Feb-2012
Conference Name: 2012 SME Annual Meeting & Exhibit 2012 (SME 2012): From the Mine to the Market, Now It's Global
Conference Dates: 2012-02-19T00:00:00Z
Conference Location: Seattle, WA, USA
Abstract: Rate of penetration of Tunnel Boring Machines (TBM) has a significant role in the planning, measurement of productivity and performance of any tunneling project. In this paper, the application of Adaptive Neuro Fuzzy Inference System (ANFIS) in prediction of TBM penetration rate is evaluated. For this purpose, a database including Rock Quality Designation (RQD), Uni-axial Compressive Strength (UCS) of the rock, the Distance between Planes of Weakness (DPW) in the rock mass, and empirical data regarding rate of penetration of TBM from several tunneling projects are collected. The Rate of Penetration is then estimated by using ANFIS. These results are then compared with measured TBM penetration rates (actual data). It is concluded that ANFIS can be applied successfully for such purpose and result in high accuracy for prediction for the rate of penetration of TBM. The method provided in this paper can assist the mining engineer to estimate the performance of tunneling accurately.
Type: Conference Paper
Status: Publisher version (final published refereed version)
Rights: The publisher has not responded to our queries therefore this work cannot 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.
Affiliation: Management Work and Organisation
Islamic Azad University
Islamic Azad University

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