PREDICTING PENETRATION RATE OF TBM WITH NEURO NETWORK

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YAVARI M.; MAHDEVARI S.

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Journal: Year:2006 | Volume:40 | Issue:1 (95) Page(s): 115-121

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Title

PREDICTING PENETRATION RATE OF TBM WITH NEURO NETWORK

Author(s)

YAVARI M. | MAHDEVARI S. | Issue Writer Certificate

Keywords

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Abstract

In this article at first some models of penetration rate prediction were reviewed then a Neuro Network was created for prediction of penetration rate. The Neuro Network inputs are UCS, RQD, normal force on disc cutter, diameter of disc cutter and quartz content. With elimination of quartz content and RQD from input parameters, the response of Neuro Network was investigated. Neuro Network response Compared with Garaham Model, and ability of Neuro Network in penetration rate prediction and prediction penetration rate of Gavoshan Tunnel's TBM were discussed in the latest part of article.

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APA: Copy

YAVARI, M., & MAHDEVARI, S.. (2006). PREDICTING PENETRATION RATE OF TBM WITH NEURO NETWORK. JOURNAL OF FACULTY OF ENGINEERING (UNIVERSITY OF TEHRAN), 40(1 (95)), 115-121. SID. https://sid.ir/paper/14553/en

Vancouver: Copy

YAVARI M., MAHDEVARI S.. PREDICTING PENETRATION RATE OF TBM WITH NEURO NETWORK. JOURNAL OF FACULTY OF ENGINEERING (UNIVERSITY OF TEHRAN)[Internet]. 2006;40(1 (95)):115-121. Available from: https://sid.ir/paper/14553/en

IEEE: Copy

M. YAVARI, and S. MAHDEVARI, “PREDICTING PENETRATION RATE OF TBM WITH NEURO NETWORK,” JOURNAL OF FACULTY OF ENGINEERING (UNIVERSITY OF TEHRAN), vol. 40, no. 1 (95), pp. 115–121, 2006, [Online]. Available: https://sid.ir/paper/14553/en

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