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NTIS 바로가기터널과 지하공간: 한국암반공학회지 = Tunnel and underground space, v.33 no.6, 2023년, pp.594 - 609
홍주표 (강원대학교 강원대학교 에너지.인프라 융합학과) , 고태영 (강원대학교 에너지자원・산업공학부)
TBM (Tunnel Boring Machine) method is gaining popularity in urban and underwater tunneling projects due to its ability to ensure excavation face stability and minimize environmental impact. Among the prominent models for predicting disc cutter life, the NTNU model uses the Cutter Life Index(CLI) as ...
Aligholi, S., Lashkaripour, G.R., Ghafoori, M., and Azali, S.T., 2017, Evaluating the relationships between NTNU/SINTEF?drillability indices with index properties and petrographic data of hard igneous rocks, Rock Mech. Rock Eng., 50,?2929-2953.?
Altindag, R., 2003, Correlation of specific energy with rock brittleness concepts on rock cutting, J. South. Afr. Inst. Min. Metall.,?103(3), 163-171.?
Altindag, R., 2010, Assessment of some brittleness indexes in rock-drilling efficiency, Rock Mech. Rock Eng., 43, 361-370.?
Bruland, A., 2000, Hard rock tunnel boring: vol. 8 drillability test methods, Ph. D. Thesis, Norwegian University of Science and?Technology.?
Chang, S.H., Choi, S.W., Lee, G.P., and Bae, G.J., 2011, Statistical analysis of NTNU test results to predict rock TBM?performance, J. of Korean Tunn Undergr Sp. Assoc., 13(3), 243-260.?
Chen, T. and Guestrin, C., 2016, Xgboost: A scalable tree boosting system, Proc. 22nd ACM SIGKDD Int. Conf. Knowl. Discov.?Data Min., 785-794.?
Cutler, A., Cutler, D.R., and Stevens, J. R., 2012, Random forests, Ensemble machine learning: Methods and applications, 157-175.?
Dahl, F., Bruland, A., Jakobsen, P.D., Nilsen, B., and Grov E., 2012, Classifications of properties influencing the drillability of?rocks, Tunn. Undergr. Space Technol., 28, 150-158.?
Drucker, H., 1997, Improving regressors using boosting techniques, In icml, 97, 107-115.?
Eide, L.N.R., 2014, TBM tunnelling at the Stillwater Mine, MS Thesis, NTNU.?
Gehring, K., 1995, Leistungs-und Verschleissprognosen im maschinellen Tunnelbau, Felsbau, 13(6), 439-448.?
Geurts, P., Ernst, D., and Wehenkel, L., 2006, Extremely randomized trees, Machine learning, 63, 3-42.?
Hucka, V. and Das, B., 1974, Brittleness determination of rocks by different methods, Int. j. rock mech. min. sci. geomech. abstr.,?11(10), 389-392.?
Ko, T.Y., Kim, T.K., Son, Y., and Jeon, S., 2016, Effect of geomechanical properties on Cerchar Abrasivity Index (CAI) and its?application to TBM tunnelling, Tunn. Undergr. Space Technol., 57, 99-111.?
Kuhn, M. and Johnson, K., 2013, Applied predictive modeling, New York: Springer, 26, 13.?
Macias, F.J. Dahl, F., and Bruland, A., 2016, New rock abrasivity test method for tool life assessments on hard rock tunnel boring:?the rolling indentation abrasion test (RIAT), Rock Mech. Rock Eng., 49(5), 1679-1693.?
Macias, F.J., 2016, Hard rock tunnel boring: performance predictions and cutter life assessments, Ph. D. Thesis, Norwegian?University of Science and Technology.?
Majeed, Y. and Abu Bakar, M.Z., 2019, Effects of variation in the particle size of the rock abrasion powder and standard rotational?speed on the NTNU/SINTEF abrasion value steel test, Bull. Eng. Geol. Environ., 78, 1537-1554.?
Majeed, Y., Abu Bakar, M.Z., and Butt, I.A., 2020, Abrasivity evaluation for wear prediction of button drill bits using geotechnical?rock properties, Bull. Eng. Geol. Environ., 79, 767-787.?
Massalov, T., Yagiz, S., and Adoko, A.C., 2022, Application of soft computing techniques to estimate cutter life index using?mechanical properties of rocks, Appl. Sci., 12(3), 1446.?
Meng, F., Wong, L.N.Y., and Zhou, H., 2021, Rock brittleness indices and their applications to different fields of rock engineering:?A review, J. Rock Mech. Geotech. Eng., 13(1), 221-247.?
Moon, K. and Yang, S.B., 2020, Cohesion and internal friction angle estimated from Brazilian tensile strength and unconfined?compressive strength of volcanic rocks in Jeju Island, Journal of the Korean Geotechnical Society, 36(2), 17-28.?
Natekin, A. and Knoll, A., 2013, Gradient boosting machines, a tutorial, Frontiers in neurorobotics, 7, 21.?
Ozfirat, M.K., Yenice, H., Simsir, F., and Yarali, O., 2016, A new approach to rock brittleness and its usability at prediction of?drillability, J. Afr. Earth Sci., 119, 94-101.?
Piratheepan, J., Gnanendran, C.T., and Arulrajah, A., 2012, Determination of c and φ from IDT and unconfined compression?testing and numerical analysis, J. Mater. Civ. Eng., 24(9), 1153-1164.?
Plinninger, R.J., 2002, Klassifizierung und Prognose von Werkzeugverschleiss bei konventionellen Gebirgslosungsverfahren im?Festgestein.?
Rostami, J. and Ozdemir, L., 1993, A new model for performance prediction of hard rock TBMs, Proc. Rapid Excav. Tunneling?Conf., 793-809.?
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