Extension of tunneling quality index and rock mass rating systems for tunnel support design through back calculations in highly stressed jointed rock mass: An empirical approach based on tunneling data from Himalaya
- Authors
- Rehman, Hafeezur; Naji, Abdul Muntaqim; Kim, Jung-joo; Yoo, Hankyu
- Issue Date
- Mar-2019
- Publisher
- PERGAMON-ELSEVIER SCIENCE LTD
- Keywords
- High in-situ stresses; Jointed rock mass; SRF; Stress adjustment factor; Back calculation
- Citation
- TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY, v.85, pp.29 - 42
- Indexed
- SCIE
SCOPUS
- Journal Title
- TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY
- Volume
- 85
- Start Page
- 29
- End Page
- 42
- URI
- https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/3448
- DOI
- 10.1016/j.tust.2018.11.050
- ISSN
- 0886-7798
- Abstract
- A preliminary support design is the basic output of an empirical rock mass classification system. Tunneling quality index (Q) and rock mass rating (RMR) systems are used specifically for tunnel support in moderately jointed and massive rocks; however, they do not provide any information/guidance for jointed rock masses in a highly stressed environment. Hence, this study focuses on the already supported drill and blast tunnel sections mapping data of four tunneling projects in Pakistan. The study extends the application of these systems to the tunnel support design for highly stressed jointed rock mass through an empirical approach. In each empirical approach, the parameters for the stress condition are suggested. Rock mass quality (Q or Q(c)) is determined from back calculations using an installed support and tunnel span. Empirical equations and charts are proposed for the stress reduction factor (SRF) characterization. In the proposed equations and charts, the SRF is a function of intact rock strength, relative block size, and strength stress ratio. In the case of the RMR system, approximately 90% of the sections show that the actual supports are heavier than the suggested supports by RMFt(89). The RMR was determined from the installed support for each tunnel section through the back calculations. To select the adjustment rating factor for stress, three hypotheses are considered based on the intact rock strength to the major principal stress ratio. The RMR14 suggested support revealed that all sections are heavily supported. A strong correlation exists between RMR89 and RMR14. Three hypotheses are considered for the stress adjustment factor rating selection for RMR14 based on the correlation equation between RMFt(89) and RMR14. For the evaluation, the application of modified Q and RMR systems are used in the tunnel support in a case study. The exploration reports show that the tunnel will pass through a jointed rock mass under high in-situ stress environments. The comparison shows that heavy support is recommended from the modified systems for tunnel stability.
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