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https://hdl.handle.net/11499/7422
Title: | Predicting penetration rate of hard rock tunnel boring machine using fuzzy logic | Authors: | Ghasemi, E. Yagiz, S. Ataei, M. |
Keywords: | Fuzzy logic Rate of penetration (ROP) Rock properties Tunnel boring machine (TBM) Boring machines (machine tools) Compressive strength Computation theory Computer circuits Construction equipment Forecasting Fracture mechanics Mean square error Reconfigurable hardware Rocks Soft computing Statistical mechanics Tunneling machines Determination coefficients Rate of penetration Root mean square errors Softcomputing techniques Statistical tools Tunnel boring machine(TBM) Uniaxial compressive strength |
Publisher: | Springer Verlag | Abstract: | Predicting the penetration rate of a tunnel boring machine (TBM) plays an important role in the economic and time planning of tunneling projects. In the past years, various empirical methods have been developed for the prediction of TBM penetration rates using traditional statistical analysis techniques. Soft computing techniques are now being used as an alternative statistical tool. In this study, a fuzzy logic model was developed to predict the penetration rate based on collected data from one hard rock TBM tunnel (the Queens Water Tunnel # 3, Stage 2) in New York City, USA. The model predicts the penetration rate of the TBM using rock properties such as uniaxial compressive strength, rock brittleness, distance between planes of weakness and the orientation of discontinuities in the rock mass. The results indicated that the fuzzy model can be used as a reliable predictor of TBM penetration rate for the studied tunneling project. The determination coefficient (R2), the variance account for and the root mean square error indices of the proposed fuzzy model are 0.8930, 89.06 and 0.13, respectively. © 2013, Springer-Verlag Berlin Heidelberg. | URI: | https://hdl.handle.net/11499/7422 https://doi.org/10.1007/s10064-013-0497-0 |
ISSN: | 1435-9529 |
Appears in Collections: | Mühendislik Fakültesi Koleksiyonu Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection |
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