• Journal of the Korean GEO-environmental Society
• /
• v.24 no.8
• /
• pp.13-20
• /
• 2023

Tunnelling through the geological anomalies has widely known to have many difficulties such as bottom heave, crack of lining, squeezing and so on. To stabilize the tunnel during the construction or after construction, various reinforcing methods have been introduced and applied such as micropiling at the bottom of tunnel to prevent the bottom heave. In this study, long-term behavior of tunnel in the presence of geological anomalies was predicted using numerical analyses. To this end, material properties for swelling rock model capable of representing the rock swelling behavior was obtained using matching process with measured data to validate the adopted model. After the model validation, simulations were performed to predict the long-term behavior of tunnel in the geological anomalies.

• Journal of Korean Tunnelling and Underground Space Association
• /
• v.15 no.4
• /
• pp.387-400
• /
• 2013

In this study, the slope stability analysis and the landslide hazard assessment in tunnel portal slope were carried out. First, we selected highly vulnerable areas to slope failure using the slope stability analysis and analyzed the slope failure scale. According to analyses results, high vulnerable area to slope failure is located at 485~495 m above sea level. The slope is stable in a dry condition, while it becomes unstable in rainfall condition. The analysis results of slope failure scale show that the depth of slope failure is maximum 2.1 m and the length of slope failure is 18.6 m toward the dip direction of slope. Second, we developed a 3-D simulation program to analyze characteristics of runout behavior of debris flow. The developed program was applied to highly vulnerable areas to slope failure. The result of 3-D simulation shows that debris flow moves toward the central part of the valley with the movement direction of landslide from the upper part to the lower part of the slope. 3-D simulation shows that debris flow moves down to the bottom of mountain slope with a speed of 7.74 m/s and may make damage to the tunnel portal directly after 10 seconds from slope failure.

• The Journal of Engineering Geology
• /
• v.27 no.2
• /
• pp.165-172
• /
• 2017

This research aims to define influence factors to perform an optimized section design and evaluate tunnel collapse risk during construction using Delphi technique. A total of five upper classification systems were constructed through literature review, pervious research analysis, and brainstorming of expert group for establishing influence factors. The $1^{st}$, $2^{nd}$, and $3^{rd}$ Delphi survey process was proceeded by panel group which is consisted 21 experts to prevent errors and bias in the expert judgement process. In Delphi $1^{st}$ survey, a total of 22 influence factors candidates were derived through open-ended questionnaire. In Delphi $2^{nd}$ survey, questionnaire was proceeded based on 7-point Likert scale method. In order to verify the validity, CVR (Content Validity Ration) analysis was performed to exclude inappropriate candidates. In the $3^{rd}$ survey, verification of influence factors was proceeded once more with the result of $2^{nd}$ survey, and lastly, a total of 14 influence factors was derived by CVR and COV (Content Validity Ration) analysis for response of experts.

• KSCE Journal of Civil and Environmental Engineering Research
• /
• v.26 no.4A
• /
• pp.647-657
• /
• 2006

Probabilistic Risk Assessment considering statistically random variables is performed for the preliminary design of a Cable Stayed Bridge, which is Prestressed Concrete Bridge consisted of cable and plate girders, based on the method of Working Stress Design and Strength Design. Component reliabilities of cables and girders have been evaluated using the response surface of the design variables at the selected critical sections based on the maximum shear, positive and negative moment locations. Response Surface Method (RSM) is successfully applied for reliability analyses for this relatively small probability of failure of the complex structure, which is hard to obtain through Monte-Carlo Simulations. or through First Order Second Moment Method that can not easily calculate the derivative terms of implicit limit state functions. For the analysis of system reliability, parallel resistance system consisting of cables and plate girder is changed into series connection system and the result of system reliability of total structure is presented. As a system reliability, the upper and lower probabilities of failure for the structural system have been evaluated and compared with the suggested prediction method for the combination of failure modes. The suggested prediction method for the combination of failure modes reveals the unexpected combinations of element failures in significantly reduced time and efforts compared with the previous permutation method or system reliability analysis method, which calculates upper and lower bound failure probabilities.

• Proceedings of the Korea Water Resources Association Conference
• /
• 2007.05a
• /
• pp.904-908
• /
• 2007

도시 지역에서는 범람류에 의한 인명 피해 가능성이 크기 때문에 범람류 특성과 침수특성을 파악하는 하는 것이 매우 중요하다. 인명 피해를 야기시킬 수 위험요소로는 홍수파의 전파속도와 범람류의 유속 및 수심을 들 수 있다. 본 연구에서의 도시 지역의 특성이라 할 수 있는 구조물의 영향에 의한 범람홍수파의 거동에 대해서 추가적인 실험을 수행하여 기초적인 현상을 규명하고자 하였다. 실험결과, 홍수파의 전파속도는 제방 붕괴시 하도 초기수위의 영향을 많이 받는 것으로 나타났다. 즉, 제내지에 구조물 설치 유무가 범람홍수파 전파속도에 지배적인 영향을 미치는 초기 월류수위 효과를 감소시키지는 못하였다. 제내지에 구조물이 있음으로써 없는 경우에 비해 제방붕괴부 주위의 최대수심은 증가하였다. 이는 구조물에 의한 배수영향이 있음을 보이는 것이다. 이러한 현상은 구조물 설치밀도가 높은 군집구조물의 경우에 확실하게 나타났다. 실험결과를 이용하여 범람홍수파의 전파속도와 최대수심을 산정하는 식을 무차원변수를 이용하여 제시하였다.

• Journal of the Architectural Institute of Korea Planning & Design
• /
• v.35 no.2
• /
• pp.139-146
• /
• 2019

The purpose of this study is to derive an improved method for analyzing old buildings with risk of collapse using public big data. Previous studies on the risk of building collapse focused on internal factors such as building age and structural vulnerability. However, this study suggests a method to derive potentially collapsible buildings considering not only internal factors of buildings but also external factors such as nearby new construction data. Based on the big data analysis, this study develops a system to visualize vulnerable buildings that require safety diagnosis and proposed a future utilization plan.

• Journal of Korean Society of Disaster and Security
• /
• v.14 no.4
• /
• pp.29-36
• /
• 2021

Recently, due to climate change, the slope is increasing, and the risk of steep slope disasters such as the occurrence of slope collapse in the east coast and Busan region in 2019 and the Gokseong landslide in 2020 is increasing. Particularly, most national parks are made up of mountainous areas, and the risk of disasters on steep slopes is increasing. As the ground of the national park is aging and the weathering and jointing of the bedrock are accelerating due to climate change, the slope collapse and rockfall are increasing, and the annual number of visitors is increasing, it is necessary to manage steep slopes adjacent to multi-use facilities with many users. In this study, dangerous steep slopes that affect multi-use facilities in national parks were analyzed using GIS and verified through field surveys. As a process for extracting steep slopes adjacent to multi-use facilities in national parks, the slope was made in DEM and slopes of 34 degrees or higher were extracted. The difference between the maximum and minimum heights of the extracted slopes was used to confirm that the slopes met the standard for steep slopes, and the analysis of the slope direction was used to confirm whether it had an effect on the multi-use facilities. After that, precision aerial images and field photos were analyzed to finally identify risks at 4 sites, and field surveys were conducted. As a result of the field survey, all 4 sites were found to be steep slopes, 3 were graded D and 1 was graded C, so it was confirmed that management was required as a risk of collapse. All steep slopes extracted through GIS were found to be dangerous, so it is judged that the extraction of steep slopes through GIS would be appropriate.

• Journal of the Korean Geosynthetics Society
• /
• v.18 no.4
• /
• pp.129-138
• /
• 2019

In this study, the rebar rock bolt sensor and GFRP rock bolt sensor, which can be monitored, were embedded in a large model slope, and the behavior of slopes occurred in the early stage of slope collapse was analyzed after performing the field failure test, numerical analysis of the individual element method and finite element method. By comparing and analyzing the field test and numerical analysis results, field applicability of rock slope collapse monitoring on the rebar rock bolt sensor and GFRP rock bolt sensor was investigated. Through this study, smart slope collapse prediction and warning system was developed, which can be used to induce effective evacuation of residents living in the collapsible area by detecting landslide and ground decay precursor information in advance.

• Proceedings of the Korea Water Resources Association Conference
• /
• 2011.05a
• /
• pp.334-338
• /
• 2011

일반적으로 유역에서 발생하는 토양손실은 붕괴사면과 표면침식, 토사류 붕괴에 의한 운반, 하상의 침식등 자연적인 요인과 도로건설, 산림의 벌채, 단지개발 등 인위적인 원인으로 발생할 수 있다. 토양손실의 발생은 농업생산성을 떨어뜨리고 목초지를 손상시키며, 물의 흐름을 방해하여 홍수위 상승, 저수지의 저수용량 감소, 고탁수 등 다양한 문제를 야기 시킨다. 이러한 문제를 해결하기 위해선 우선 토양손실 발생의 위험지역을 선정하고 그 지역을 집중적으로 관리하는 적절한 관리 대책의 마련이 필요하다. 이에 본 연구에서는 낙동강유역 전체를 대상유역으로 선정하고 토양손실 발생에 영향을 주는 여러 요소중 도시화나 농경지 확장 등 인간의 인위적인 개발로 인해 쉽게 변경될 수 있는 토지이용도를 이용하여 세부적으로 분석하였다. 토지이용도를 구성하고 있는 총 8가지의 토지이용항목 중 다른 항목들에 비해 분포면적이 매우 작은 녹지, 습지, 나지를 제외한 5가지의 항목(시가화, 논, 밭, 산림, 수역)의 분포면적을 통해 토지 이용특성에 따른 유사발생의 연관성을 파악하였으며 유역별 유사발생 위험순위를 평가하였다. 유사발생 위험순위 평가결과, 전체 낙동강유역내 유사발생 위험성이 높은 표준유역들로 구성되어있는 중권역은 내성천, 위천합류점, 합천댐유역, 안동댐유역으로 모두 높은 순위를 차지했다. 내성천유역, 위천합류점 유역, 합천댐유역은 구성하고 있는 표준유역의 절반 이상이 높은 순위들로 구성되어 있으며 안동댐유역은 구성하고 있는 소수의 표준유역이 유역내 최상위 순위를 차지하였다.

• The Journal of Engineering Geology
• /
• v.23 no.3
• /
• pp.257-269
• /
• 2013

Prevention plans for landslide and slope disasters should be appropriate for a country's budget when considering a systematic investment plan. The systematic management of slopes adjacent to national highways should incorporate reasonable investment risk and the expected degree of damage should be calculated by considering the investment priorities. In terms of priority of investment, the major factors used to determine the degree of hazard are gradient, soil characteristics, RMR (Rock Mass Rating), stability interpretation, type of discontinuities, and history of collapse, among others. The likely consequences of slope failure can be determined by considering traffic volume, the number of lanes, and average vehicle risk. We performed such calculations regarding the priority of investment and performed a regression analysis for 392 slopes located in Yeongseo region, Gangwon province. The calculation results show that collapsed slopes have a higher priority for investment, as do slopes with a high proportion of dangerous sections and locations in valleys.