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Erschienen in: Bulletin of Engineering Geology and the Environment 5/2019

29.06.2018 | Original Paper

Modified Q-index for prediction of rock mass quality around a tunnel excavated with a tunnel boring machine (TBM)

verfasst von: Feng Ji, Yuchuan Shi, Renjie Li, Chunhong Zhou, Ning Zhang, Jishun Gao

Erschienen in: Bulletin of Engineering Geology and the Environment | Ausgabe 5/2019

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Abstract

Rock mass quality is closely related to tunnel stability and supporting measures. The Q-system, based on the drilling and blasting method, is one of the most important methods for rock mass classification systems and provides reliable long-term protection for tunnel excavation and reinforcement. However, in comparison to the drilling and blasting method, tunnels excavated using the tunnel boring machine (TBM) method have smooth and integral walls. The number of structural planes in these tunnels, their extension lengths, opening widths, and other characteristics are significantly different from those excavated using the drilling and blasting method. These differences lead to prediction errors in rock mass quality when the Q-system is applied to tunnels excavated by a TBM, and the coincidence rate is less than 70%. In this study, a reduction factor RKv, based on the wave velocity test, is used to replace the RQD/Jn term in the Q-system to reflect the integrity of the rock mass. This replacement can overcome the shortcomings that result from the smooth walls in TBM tunnels by applying the wave velocity during tunnel construction. Based on multiple regression analysis of RKv, we established a QT method for rock classification of material surrounding TBM tunnels. This new method provides a prediction coincidence rate of more than 85%.

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Metadaten
Titel
Modified Q-index for prediction of rock mass quality around a tunnel excavated with a tunnel boring machine (TBM)
verfasst von
Feng Ji
Yuchuan Shi
Renjie Li
Chunhong Zhou
Ning Zhang
Jishun Gao
Publikationsdatum
29.06.2018
Verlag
Springer Berlin Heidelberg
Erschienen in
Bulletin of Engineering Geology and the Environment / Ausgabe 5/2019
Print ISSN: 1435-9529
Elektronische ISSN: 1435-9537
DOI
https://doi.org/10.1007/s10064-018-1257-y

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