Effect of geomechanical properties on Cerchar Abrasivity Index (CAI) and its application to TBM tunnelling |
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| Affiliation: | 1. TBM TF, SK E&C, Seoul, Republic of Korea;2. Infra Engineering Team 2, SK E&C, Seoul, Republic of Korea;3. Department of Energy Systems Engineering, Seoul National University, Seoul, Republic of Korea;1. Department of Energy Systems Engineering, Seoul National University, 1 Gwanak-ro Gwanak-gu, Seoul 151-744, Republic of Korea;2. Geology Division, Korea Institute of Geoscience and Mineral Resources, Deajeon, Republic of Korea;1. University of Tehran, College of Science, Tehran, Iran;2. Pennsylvania State University, University Park, USA;3. Ferdowsi University of Mashhad (FUM), Mashhad, Iran;4. Monash University, Civil Engineering Department, Melbourne, Australia;5. Ecole Polytechnique Federale de Lausanne (EPFL), Lausanne, Switzerland;1. Department of Earth Sciences, University of Tabriz, Tabriz, Iran;2. Department of Engineering Geology, Tarbiat Modares University, Tehran, Iran;3. Rock Mechanics Laboratory (LMR), Swiss Federal Institute of Technology Lausanne (EPFL), Lausanne, Switzerland;1. College of Mechanical and Electrical Engineering, Central South University, Changsha 410083, China;2. State Key Laboratory of High Performance Complex Manufacturing, Central South University, Changsha 410083, China;3. China Railway Engineering Equipment Group Co. Ltd., Zhengzhou 450016, China;1. School of Mining Engineering, University of Tehran, Tehran, Iran;2. Pennsylvania State University, University Park, PA, United States;3. School of Metallurgical and Materials Engineering, University of Tehran, Tehran, Iran;1. Geological Engineering Department, University of Engineering and Technology, Lahore, Pakistan;2. Mining Engineering Department, University of Engineering and Technology, Lahore, Pakistan;3. Department of Mining Engineering, Colorado School of Mines, Golden, CO, USA |
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| Abstract: | Abrasiveness of rocks plays an important role in the wear of TBM tunnelling. Cerchar Abrasivity Index (CAI) test is the most commonly used method to estimate rock abrasiveness due to its simple, fast test procedure and economic benefits. This study investigated the correlation between CAI and geomechanical properties of igneous and metamorphic rocks. Single and multiple regression analysis were performed and predictive models for the CAI from geomechanical properties were developed. It is found that single parameter alone is not suitable to predict the value of CAI. The result of the multiple regression analysis shows that quartz content is less influencing factor to predict the value of CAI. Also, the correlation between CAI and NTNU’s Cutter Life Index (CLI) was examined and a predictive model for the CLI from CAI and geomechanical properties was suggested. Finally, the influence of CAI on disc cutter life prediction models was investigated and it was found that the variation of CAI has the maximum effect on the predicted disc cutter life in Gehring model. |
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| Keywords: | Abrasiveness CAI CLI Disc cutter Wear |
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