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http://dx.doi.org/10.9711/KTAJ.2019.21.3.347

Study on the effective parameters and a prediction model of the shield TBM performance  

Jo, Seon-Ah (Structural & Seismic Tech. Group, Next Generation Transmission & Substation Laboratory, KEPCO Research Institute)
Kim, Kyoung-Yul (Structural & Seismic Tech. Group, Next Generation Transmission & Substation Laboratory, KEPCO Research Institute)
Ryu, Hee-Hwan (Structural & Seismic Tech. Group, Next Generation Transmission & Substation Laboratory, KEPCO Research Institute)
Cho, Gye-Chun (Dept. of Civil and Environmental Engineering, Korea Advanced Institute of Science and Technology (KAIST))
Publication Information
Journal of Korean Tunnelling and Underground Space Association / v.21, no.3, 2019 , pp. 347-362 More about this Journal
Abstract
Underground excavation using TBM machines has been increasing to reduce complaints caused by noise, vibration, and traffic congestion resulted from the urban underground construction in Korea. However, TBM excavation design and construction still need improvement because those are based on standards of the technologically advanced countries (e.g., Japan, Germany) that do not consider geological environment in Korea at all. Above all, although TBM performance is a main factor determining the TBM machine type, duration and cost of the construction, it is estimated by only using UCS (uniaxial compressive strength) as the ground parameters and it often does not match the actual field conditions. This study was carried out as part of efforts to predict penetration rate suitable for Korean ground conditions. The effective parameters were defined through the correlation analysis between the penetration rate and the geotechnical parameters or TBM performance parameters. The effective parameters were then used as variables of the multiple regression analysis to derive a regression model for predicting TBM penetration rate. As a result, the regression model was estimated by UCS and joint spacing and showed a good agreement with field penetration rate measured during TBM excavation. However, when this model was applied to another site in Korea, the prediction accuracy was slightly reduced. Therefore, in order to overcome the limitation of the regression model, further studies are required to obtain a generalized prediction model which is not restricted by the field conditions.
Keywords
TBM performance; Penetration rate; Uniaxial compressive strength; Rock mass properties; Regression analysis;
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Times Cited By KSCI : 5  (Citation Analysis)
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