Title: CLASSIFICATION OF FACTORS OF GEOLOGICAL RISK FOR INTERMEDIATE DEPTH TUNNELING IN SOUTH KOREA
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Title: CLASSIFICATION OF FACTORS OF GEOLOGICAL RISK FOR INTERMEDIATE DEPTH TUNNELING IN SOUTH KOREA
CLASSIFICATION OF FACTORS OF GEOLOGICAL RISK FOR INTERMEDIATE DEPTH TUNNELING IN SOUTH KOREA
Myeong-Hyeok Ihm
10.5593/sgem2022/1.1/s02.014
10.5593/sgem2022/1.1
1314-2704
978-619-7603-38-5
English
22
1.1
•    Prof. DSc. Oleksandr Trofymchuk, UKRAINE 
•    Prof. Dr. hab. oec. Baiba Rivza, LATVIA
Hydrogeology, Engineering Geology and Geotechnics
For the geological risk assessment of intermediate underground condition by excavation work, since rocks and geologic structure of each country is different, it is necessary to objectify or classify quantitatively intermediate underground risk evaluation in accordance with Korean geologic characteristics. It could be summarized major factors of rock failure and ground subsidence by geological and geotechnical features as overburden, ground characteristics of soil and rock, geologic structures, hydrogeology, high stress, and artificial structures. Induced main factors that could be identified and predicted intermediate-depth tunneling risk through literature investigation and analysis study on research trend related to the deep to intermediate underground geological engineering. It might be classified major factors of intermediate-depth tunneling risk by geological features. These factors affect differently each other in accordance with a type of ground condition that classified rock, groundwater, high stress, artificial structures, and complex.
risk, intermediate-depth, tunneling, geologic structure, hydrogeology
[1] Ihm, Myeong-Hyeok, 2020, Preliminary Study of 50m-Depth Geotechnical Mapping for Underground Transportation in Korea using the Geological maps and D/B of Drilling Core around Urban Area, 2020 Fall Joint Conference of KSMER and KSRM.
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[3] Soren Degn Eskesen, Per Tengborg, Jorgen Kampmann, and Trine Holst Veicherts, 2004, Guidelines for tunneling risk management, Tunneling and Underground Space Technology, 19, 217-237.
[4] M. M. Fouladgar, A. Yazdani-Chamzini, and E. K. Zavadskas, 2012, Risk evaluation of tunneling projects, Archives of Civil and Mechanical Engineering, 12, 1- 12.
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[8] L. R. e Sousa, T. Miranda, R. L. Sousa, and J. Tinoco, 2018, Deep underground engineering and the use of artificial intelligence techniques, Int. J. Earth Environ. Sci. 3, 158.
This research is supported by the Korea Agency for Infrastructure Technology Advancement (KAIA) grant funded by the Ministry of Land, Infrastructure and Transport (Research of Advanced Technology for Construction and Operation of Underground Transportation Infrastructure, 20UUTI-B157786-01).
conference
https://doi.org/10.5593/sgem2022/1.1/s02.014
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Proceedings of 22nd International Multidisciplinary Scientific GeoConference SGEM 2022
22nd International Multidisciplinary Scientific GeoConference SGEM 2022, 04 - 10 July, 2022
Proceedings Paper
STEF92 Technology
International Multidisciplinary Scientific GeoConference SGEM
SWS Scholarly Society; Acad Sci Czech Republ; Latvian Acad Sci; Polish Acad Sci; Serbian Acad Sci and Arts; Natl Acad Sci Ukraine; Natl Acad Sci Armenia; Sci Council Japan; European Acad Sci, Arts and Letters; Acad Fine Arts Zagreb Croatia; Croatian Acad Sci and Arts; Acad Sci Moldova; Montenegrin Acad Sci and Arts; Georgian Acad Sci; Acad Fine Arts and Design Bratislava; Turkish Acad Sci.
115-120
04 - 10 July, 2022
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