• Title/Summary/Keyword: 붕락터널

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Evaluation of Cave-in Possibility of a Shallow Depth Rock Tunnel by Rock Engineering Systems and Uumerical Analyses (암반공학시스템과 수치해석을 이용한 저심도 암반터널에서의 붕락 발생 가능성 평가)

  • Kim, Man-Kwang;Yoo, Young-Il;Song, Jae-Joon
    • Tunnel and Underground Space
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    • v.19 no.3
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    • pp.236-247
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    • 2009
  • Overpopulation has significantly increased the use of underground spaces in urban areas, and led to the developments of shallow-depth underground space. Due to unexpected rock fall, however, it is very necessary to understand and categorize the rock mass behaviors prior to the tunnel excavation, by which unnecessary casualties and economic loss could be prevented. In case of cave-in, special attention should be drawn since it occurs faster and greater in magnitude compared to rock fall and plastic deformation. Types of cave-in behavior are explained and categorized using seven parameters - Uniaxial Compressive Strength (UCS), Rock Quality Designation (RQD), joint surface condition, in-situ stress condition, ground water condition, earthquake & ground vibration, tunnel span. This study eventually introduces a new index called Cave-in Behavior Index (CBI) which explains the behavior of cave-in under given in-situ conditions expressed by the seven parameters. In order to assess the mutual interactions of the seven parameters and to evaluate the weighting factors for all the interactions, survey data of the experts' opinions and Rock Engineering Systems (RES) were used due to lack of field observations. CBI was applied to the tunnel site of Seoul Metro Line No. 9. UDEC analyses on 288 cases were done and occurrences of cave-in in every simulation were examined. Analyses on the results of 288 cases of simulations revealed that the average CBI for the cases when cave-in for different patterns of tunnel support was estimated by a logistic regression analysis.

Development of Countermeasure Expert System for Tunneling Failure (터널 붕락특성과 시공 중 보강공법 선정방법 개발)

  • 김창용;박치현;배규진;홍성완;오명렬
    • Tunnel and Underground Space
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    • v.10 no.3
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    • pp.418-429
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    • 2000
  • Many Studies of tunnel and tunnelling safety have been developed continuously based on the increasing social interests in underground space since 1990's in Korea. Because the growth of population in metropolitan has been accelerated at a faster pace than the development of the cities, underground facilities have been created as a great extent in view of less land space available. In this study, a lot of types of tunnel failure were surveyed and the detail causes were studied after many cases of tunnel failure were collected. There were suggested brief countermeasure of tunnel failure through case study. An expert system was developed to predict the safety of tunnel and choose proper tunnel reinforcement system using fuzzy quantification theory and fuzzy inference rule based on tunnel information database. The comparison result between the predicted reinforcement system level and measured ones was very similar. In-situ data were obtained in three tunnel sites including subway tunnel under Han river. This system will be very helpful to make the most of in-situ data and suggest proper applicability of tunnel reinforcement system developing more resonable tunnel support method from dependance of some experienced experts for the absent of guide.

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Development of Countermeasure Expert System for Tunneling Failure (터널 붕락특성과 시공 중 보강공법 선정방법 개발)

  • 김창용;박치현;배규진;홍성완;오명렬
    • Proceedings of the Korean Society for Rock Mechanics Conference
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    • 2000.09a
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    • pp.171-181
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    • 2000
  • Many Studies of tunnel and tunnelling safety have been developed continuously based on the increasing social interests in underground space since 1990's in Korea. Because the growth of population in metropolitan has been accelerated at a faster pace than the development of the cities, underground facilities have been created as a great extent in view of less land space available. In this study, a lot of types of tunnel failure were surveyed and the detail causes were studied after many cases of tunnel failure were collected. There were suggested brief countermeasure of tunnel failure through case study. An expert system was developed to predict the safety of tunnel and choose proper tunnel reinforcement system using fuzzy quantification theory and fuzzy inference rule based on tunnel information database. The comparison result between the predicted reinforcement system level and measured ones was very similar. In-situ data were obtained in three tunnel sites including subway tunnel under Han river. This system will be very helpful to make the most of in-situ data and suggest proper applicability of tunnel reinforcement system developing more resonable tunnel support method from dependance of some experienced experts for the absent of guide.

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Upheaveal Behaviour of Tunnel Bottom in the Weatherd Fracture Zone under Tunnel Excavation (터널 굴착 중 바닥부 연약대로 인한 터널 융기 거동 사례 분석)

  • Chang, Yongchai;Kim, Nagyoung;Jin, Kyudong;Son, Yongmin
    • Journal of the Korean GEO-environmental Society
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    • v.15 no.6
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    • pp.49-56
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    • 2014
  • The stability of tunnel construction depends entirely on the characteristics of the soil strength. If the soil strength is weak, collapse of tunnel occurs frequently under construction. In general, it copes with collapse by conducting half section excavation or reinforcement in advance under these conditions. Nevertheless, it can be collapsed under upper section excavation in the weathered fracture zone and it can be recovered through the application of reinforcement. As it has a bad influence on the upper section in case of upheaveal of tunnel bottom, it can be adversely affected on the overall stability of the tunnel. Thus, an in-depth review of reinforcement is needed in poor bottom ground. As the practices that has a bad affect on the stability of the tunnel due to upheaveal of tunnel bottom is increasing, research is needed for applicable standards for reinforcement. In this paper, it were investigated at actual field cases of upheaveal of bottom ground and characteristics of behavior and reinforcement measures were analyzed.