Mobile QR Code QR CODE : Journal of the Korean Society of Civil Engineers

References

1 
Bennett, A. and Elman, C. (2006). “Complex causal relations and case study methods: The example of path dependence.” Political Analysis, Cambridfe University Press, Vol. 14, No. 3, pp. 250-267, https://doi.org/10.1093/pan/mpj020.DOI
2 
Broere, W. (2016). “Urban underground space: Solving the problems of today’s cities.” Tunnelling and Underground Space Technology, Elsevier, Vol. 55, pp. 245-248, https://doi.org/10.1016/j.tust.2015.11.012.DOI
3 
Chang, C. S., Yeh, Y. T., Chien, T. W., Lin, J. C. J., Cheng, B. W. and Kuo, S. C. (2020). “The computation of case fatality rate for novel coronavirus (COVID-19) based on Bayes theorem: An observational study.” Medicine, Wolters Kluwer Health, Vol. 99, No. 21, https://doi.org/10.1097/MD.0000000000019925.DOI
4 
Choi, M. C. (2020). “Evaluation of analytic hierarchy process method and development of a weight modified model.” Management & Information Systems Review, DAMIS, Vol. 39, No. 2, pp. 145-162, https://doi.org/10.29214/damis.2020.39.2.009 (in Korean).DOI
5 
Chung, H., Lee, I. M., Jung, J. H. and Park, J. (2019). “Bayesian networks-based shield TBM risk management system: methodology development and application.” KSCE Journal of Civil Engineering, KSCE, Vol. 23, No. 1, pp. 452-465, https://doi.org/10.1007/s12205-018-0912-y.DOI
6 
Crowe, S., Cresswell, K., Robertson, A., Huby, G., Avery, A. and Sheikh, A. (2011). “The case study approach.” BMC Medical Research Methodology, Springer Nature, Vol. 11, No. 1, pp. 1-9, https://doi.org/10.1186/1471-2288-11-100.DOI
7 
Eskesen, S. D., Tengborg, P., Kampmann, J. and Veicherts, T. H. (2004). “Guidelines for tunnelling risk management: international tunnelling association, working group No. 2.” Tunnelling and Underground Space Technology, Elsevier, Vol. 19, No. 3, pp. 217-237, https://doi.org/10.1016/j.tust.2004.01.001.DOI
8 
Font-Capó, J., Vázquez-Suñé, E., Carrera, J., Martí, D., Carbonell, R. and Pérez-Estaun, A. (2011). “Groundwater inflow prediction in urban tunneling with a tunnel boring machine (TBM).” Engineering Geology, Elsevier, Vol. 121, Nos. 1-2, pp. 46-54, https://doi.org/10.1016/j.enggeo.2011.04.012.DOI
9 
Gong, Q., Yin, L., Ma, H. and Zhao, J. (2016). “TBM tunnelling under adverse geological conditions: an overview.” Tunnelling and Underground Space Technology, Elsevier, Vol. 57, pp. 4-17, https://doi.org/10.1016/j.tust.2016.04.002.DOI
10 
Gong, Q. M., Yin, L. J. and She, Q. R. (2013). “TBM tunneling in marble rock masses with high in situ stress and large groundwater inflow: a case study in China.” Bulletin of Engineering Geology and the Environment, Springer, Vol. 72, pp. 163-172, https://doi.org/10.1007/s10064-013-0460-0.DOI
11 
Grzegorzewski, P. (2013). “On some basic concepts in probability of IF-events.” Information Sciences, Elsevier, Vol. 232, pp. 411-418, https://doi.org/10.1016/j.ins.2012.11.010.DOI
12 
Hyun, K. C., Min, S., Choi, H., Park, J. and Lee, I. M. (2015). “Risk analysis using fault-tree analysis (FTA) and analytic hierarchy process (AHP) applicable to shield TBM tunnels.” Tunnelling and Underground Space Technology, Elsevier, Vol. 49, pp. 121-129, https://doi.org/10.1016/j.tust.2015.04.007.DOI
13 
Kang, M., Kim, S., Lee, J. and Choi, H. (2022). “Development of FE model for simulating electrical resistivity survey to predict mixed ground ahead of a tunnel face.” Geomechanics & Engineering, Techno-press, Vol. 29, No. 3, pp. 301-310, https://doi.org/10.12989/gae.2022.29.3.301.DOI
14 
Kang, M., Lee, J., Kwon, K., Park, S. and Choi, H. (2023). “Laboratory simulations on hybrid non-destructive survey of electrical resistivity and induced polarization to predict geological risks ahead of a TBM tunnel.” Tunnelling and Underground Space Technology, Elsevier, Vol. 135, 105066, https://doi.org/10.1016/j.tust.2023.105066.DOI
15 
Koh, S., La, Y. S. and Kim, B. (2020). “Shield TBM trouble cases review and parameter study for the cause analysis.” Journal of Korean Tunnelling and Underground Space Association, KTA, Vol. 22, No. 2, pp. 197-217, https://doi.org/10.9711/KTAJ.2020.22.2.197 (in Korean).DOI
16 
Kwon, K., Choi, H., Oh, J. Y. and Kim, D. (2022). “A study on EPB shield TBM face pressure prediction using machine learning algorithms.” Journal of Korean Tunnelling and Underground Space Association, KTA, Vol. 24, No. 2, pp. 217-230, https://doi.org/10.9711/KTAJ.2022.24.2.217 (in Korean).DOI
17 
Kwon, K., Kang, M., Kim, D. and Choi, H. (2023). “Prioritization of hazardous zones using an advanced risk management model combining the analytic hierarchy process and fuzzy set theory.” Sustainability, MDPI, Vol. 15, No. 15, 12018, https://doi.org/10.3390/su151512018.DOI
18 
Lee, S. and Moon, J. S. (2020). “Excessive groundwater inflow during TBM tunneling in limestone formation.” Tunnelling and Underground Space Technology, Elsevier, Vol. 96, 103217, https://doi.org/10.1016/j.tust.2019.103217.DOI
19 
Lin, P., Xiong, Y., Xu, Z., Wang, W. and Shao, R. (2022). “Risk assessment of TBM jamming based on Bayesian networks.” Bulletin of Engineering Geology and the Environment, Springer, Vol. 81, pp. 1-15, https://doi.org/10.1007/s10064-021-02511-z.DOI
20 
Liu, W., Zhai, S. and Liu, W. (2019). “Predictive analysis of settlement risk in tunnel construction: a bow-tie-bayesian network approach.” Advances in Civil Engineering, Hindawi, Vol. 2019, https://doi.org/10.1155/2019/2045125.DOI
21 
Rostami, J. (2016). “Performance prediction of hard rock Tunnel Boring Machines (TBMs) in difficult ground.” Tunnelling and Underground Space Technology, Elsevier, Vol. 57, pp. 173-182, https://doi.org/10.1016/j.tust.2016.01.009.DOI
22 
Seol, H., Won, D., Jang, J., Kim, K. Y. and Yun, T. S. (2022). “Ground Collapse in EPB shield TBM site: A case study of railway tunnels in the deltaic region near Nak-Dong River in Korea.” Tunnelling and Underground Space Technology, Elsevier, Vol. 120, 104274, https://doi.org/10.1016/j.tust.2021.104274.DOI
23 
Sousa, R. L. and Einstein, H. H. (2021). “Lessons from accidents during tunnel construction.” Tunnelling and Underground Space Technology, Elsevier, Vol. 113, 103916, https://doi.org/10.1016/j.tust.2021.103916.DOI
24 
Sturk, R., Olsson, L. and Johansson, J. (1996). “Risk and decision analysis for large underground projects, as applied to the Stockholm ring road tunnels.” Tunnelling and Underground Space Technology, Elsevier, Vol. 11, No. 2, pp. 157-164, https://doi.org/10.1016/0886-7798(96)00019-3.DOI
25 
Tommasi, M., Ferrara, G. and Saggino, A. (2018). “Application of Bayes' theorem in valuating depression tests performance.” Frontiers in Psychology, Frontiers, Vol. 9, 1240, https://doi.org/10.3389/fpsyg.2018.01240.DOI
26 
Yu, G. H. (2008).“A study on engineering characteristics of weak rock ground happened TBM Jaming accident in Tunnelling.” Journal of the Korea Construction Safety Engineering Association, KCSA, Vol. 45, pp. 60-70.URL
27 
Zhu, H., Yan, J. and Liang, W. (2019). “Challenges and development prospects of ultra-long and ultra-deep mountain tunnels.” Engineering, Elsevier, Vol. 5, No. 3, pp. 384-392, https://doi.org/10.1016/j.eng.2019.04.009.DOI
28 
Zolfaghari, M., Mokhtari, E. and Morsali, M. (2011). “Geological evidences of collapse zones in TBM tunneling; a case study of Ghomroud water conveyance tunnel, IRAN.” In Proceedins of First Asian & 9th Iranian Tunneling Symposium, IRTA, Tehran, Iran.URL