• Title/Summary/Keyword: fault damage zone

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A Study on Automatic Classification of Characterized Ground Regions on Slopes by a Deep Learning based Image Segmentation (딥러닝 영상처리를 통한 비탈면의 지반 특성화 영역 자동 분류에 관한 연구)

  • Lee, Kyu Beom;Shin, Hyu-Soung;Kim, Seung Hyeon;Ha, Dae Mok;Choi, Isu
    • Tunnel and Underground Space
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    • v.29 no.6
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    • pp.508-522
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    • 2019
  • Because of the slope failure, not only property damage but also human damage can occur, slope stability analysis should be conducted to predict and reinforce of the slope. This paper, defines the ground areas that can be characterized in terms of slope failure such as Rockmass jointset, Rockmass fault, Soil, Leakage water and Crush zone in sloped images. As a result, it was shown that the deep learning instance segmentation network can be used to recognize and automatically segment the precise shape of the ground region with different characteristics shown in the image. It showed the possibility of supporting the slope mapping work and automatically calculating the ground characteristics information of slopes necessary for decision making such as slope reinforcement.

Survey of the Geology and Geological Structure of the Foundations at a Construction Site for Tram (경전철 건설구간의 지질 및 지질구조특성에 관한 지반조사)

  • Lee, Byung-Joo;SunWoo, Chun;Chae, Byung-Gon
    • The Journal of Engineering Geology
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    • v.20 no.3
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    • pp.329-338
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    • 2010
  • The foundation area for tram contains biotite gneiss, quartzo-feldspathic gneiss, calc-silicate rock, and porphyroblastic gneiss of the pre-Cambrian Kyeonggi gneiss complex. These rocks record at least three stages of deformation, as indicated by fold sets of contrasting orientations (D1-D3). Joints are generally steeply dipping and strike NW-SE to WNW-ESE. The Gonjiam Fault, which strikes WNW-ESE, follows a river in the area. The fault possesses a 3-m-wide fracture zone, a 10-m-wide damage zone, and is 15 km long. Two tunnels have been constructed through the biotite gneiss. The geometric relationship between discontinuities (e.g., joints and foliation) and tunneling direction reveals that set 3 of the AA tunnel is unstable but that BB tunnel is relatively safe.

Analysis of the Effects on the Southeastern Coast of Korea by a Tsunami Originating from Hypothetical Earthquake in Japan (일본 지진공백역에서의 지진해일이 우리나라의 남동연안에 미치는 영향분석)

  • Kim, Do-Sam;Kim, Ji-Min;Lee, Kwang-Ho;Son, Byoung-Kyu
    • Journal of Ocean Engineering and Technology
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    • v.21 no.6
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    • pp.64-71
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    • 2007
  • The hypothetical earthquake located on the fault zone along the western coast of Japan, where sufficient time has elapsed since the last earthquake or an earthquake has not occurred yet, is known to possess significant potential energy. The possibility of earthquake activities occurring here in the future is high. It is expected that the resulting tsunamis will cause great damage to the East Sea coast of Korea and affect parts of the southern coast as well. In this study, tsunami that may be caused by a virtual earthquake that is expected in the hypothetical earthquake, along the western coast of Japan, will be estimated using numerical simulation. From this, the effect of the tsunami originating from the hypothetical earthquake on the southeastern coast of Korea will be evaluated by examining the water level rise due to the maximum water level rise and changing time, for each point along the southeastern coast. It will be possible to use the virtual results obtained like this as important basic materials in future disaster prevention plans and designs, for determining the direction of coastal development, for arranging seashore and harbor structures and to carry out wave resistant design for the southeastern coast of Korea.

Study on Risk Priority for TBM Tunnel Collapse based on Bayes Theorem through Case Study (사례분석을 통한 베이즈 정리 기반 TBM 터널 붕괴 리스크 우선순위 도출 연구)

  • Kwon, Kibeom;Kang, Minkyu;Hwang, Byeonghyun;Choi, Hangseok
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.43 no.6
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    • pp.785-791
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    • 2023
  • Risk management is essential for preventing accidents arising from uncertainties in TBM tunnel projects, especially concerning managing the risk of TBM tunnel collapse, which can cause extensive damage from the tunnel face to the ground surface. In addition, prioritizing risks is necessary to allocate resources efficiently within time and cost constraints. Therefore, this study aimed to establish a TBM risk database through case studies of TBM accidents and determine a risk priority for TBM tunnel collapse using the Bayes theorem. The database consisted of 87 cases, dealing with three accidents and five geological sources. Applying the Bayes theorem to the database, it was found that fault zones and weak ground significantly increased the probability of tunnel collapse, while the other sources showed low correlations with collapse. Therefore, the risk priority for TBM tunnel collapse, considering geological sources, is as follows: 1) Fault zone, 2) Weak ground, 3) Mixed ground, 4) High in-situ stress, and 5) Expansive ground. In practice, the derived risk priority can serve as a valuable reference for risk management, enhancing the safety and efficiency of TBM construction. It provides guidance for developing appropriate countermeasure plans and allocating resources effectively to mitigate the risk of TBM tunnel collapse.