• Title/Summary/Keyword: Cut-Slope

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Case Study on Application of Geophysical Survey in the Weathered Slope including Core Stones (핵석을 포함하는 풍화사면에서의 지구물리탐사 적용사례 연구)

  • Hong, Won-Pyo;Kim, Jae-Hong;Ro, Byung-Don;Jeong, Gyo-Cheol
    • The Journal of Engineering Geology
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    • v.19 no.1
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    • pp.89-98
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    • 2009
  • Existence of core stone at the inside of the Rock mass is reacting as unstable element. In particular, in case of the cut slope, even when it is not exposed, slope's discontinuity increases or strength level decreases depending on the difference in the weathering grade when it comes to the core stone, and reacts as an important element of the slope movement such as slope's rock fall or collapse. As for the slope that is subject to study, incision was completed after 20 years or so, and parts of the slope reinforcement was completed, but frequent rock fall occurs despite small amount of rainfall, and permanent stability measures are urgent. Refractional seismic survey and geological survey results were compared and analyzed, and reliability was improved by complementing the two survey methods, and stereo-graphic projection using DIPS program was conducted to analyze the characteristics of oore stone in the weathered soil slope.

Evaluation of Stability of Slope with Granite Weathered Soil considering Rainfall Events (강우사상을 고려한 화강풍화토 비탈면의 안정성 평가)

  • Kim, Gyu-Hyeong;Hwang, Eui-Pil;Lee, Kang-Il
    • Journal of the Society of Disaster Information
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    • v.14 no.4
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    • pp.421-429
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    • 2018
  • Purpose: This study conducted a slope stability study considering changes in the ground water level due to rain phenomena and the duration of rainfall, that is for the purpose of analyzing the stability of the slope surface of the cut section, seepage numerical analysis is performed by height of slope and rainfall accident, and the characteristics of rainfall was applied reasonably in order to determine the slope change during rain by analyzing rainfall and rainfall pattern due to climate change. Results: As a result of numerical analysis of stability for slope composed of the granite weathered soils according to the characteristics of rainfall(Uniform Rainfall, US Army Corps., Huff's method - 1/4, 4/4), Conclusion: The higher the slope, the smaller the safety factor of the slope, the smaller the elevation of the ground water level as the rainwater seepage does not reach the underground water level. In addition, the ground water level was assessed to be rose significantly in condition of case 3 Huff's method - 1/4, rain pattern with the largest initial rainfall duration, and the safety factor was analyzed to be small.

Distribution and Characteristics of Native and Exotic Plants on Cut Slopes and Rest Areas along Korean Highway Lines

  • Kim, Kee-Dae
    • Journal of Environmental Science International
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    • v.16 no.5
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    • pp.549-559
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    • 2007
  • Vegetation surveys were performed at 45 plots along 10 highways cut slopes in South Korea. Total floral inventory, species richness and exotic plant percentage were obtained within each plot. Life history and life form of each species appeared were analyzed. Community types were classified using hierarchical cluster analysis and detrended correspondence analysis and non-metric multidimensional scaling were conducted from vegetation matrix. 292 species of vascular plants were discovered and the number of natives and exotics were 226 and 66, respectively. There were no significant differences of species richness and exotic plant percentage between cut slopes and rest areas. Hierarchical cluster analysis indicated five clear vegetation associations in cut slopes and rest areas. Detrended correspondence analysis indicated that species composition of total and native plants were similar along the highway cut slopes whereas exotic plants were distributed differentially along the highway cut slopes. in non-metric multidimensional scaling, the studied sites were more separated from each other on the basis of their species composition than the results of detrended correspondence analysis with respect to total, native and exotic plants. The both ordination represented that exotic plants have not been made uniform yet on cut slopes and rest areas by highway corridor in spite of diverse chronosequences after highway construction termination (1 to 22 years). This study showed that the distribution of species composition in exotic plants was different and localized on cut slopes and rest areas of highway in this representative peninsula area of North East Asia and the invasion of exotic plants can retard the process of plant species homogenization.

Road Slide Detection Algorithm Using CCD Camera (CCD 카메라를 이용한 도로 붕괴 사태 검출 알고리즘)

  • Kwon, Young-Man;Shin, Se-Yeon;Park, Young-Jin;Kim, Eun-Soo
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.11 no.2
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    • pp.181-187
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    • 2011
  • In this paper, we proposed the vision-based efficient algorithm for road slide detection like as destruction of road cut slope. The proposed algorithm defines the image region as non surveillance and surveillance which is further divided by road, boundary and non road region. After that, it find the moving block, remember the history of movement using the TTL(Time To Live) table, determine the road slide by checking the existence of moving blocks from non road region to road region together. We confirmed the proposed algorithm detected the road slide effectively through experiments.

A Study On The Reinforcing Effect Multibell Anchor Applied To The Cut Slope (비탈면에 적용된 다구근 앵커의 보강효과 연구)

  • Cha, Kyung-Sub;Kim, Seon-Ju;Kim, Tae-Hoon
    • Proceedings of the Korean Geotechical Society Conference
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    • 2010.03a
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    • pp.1286-1293
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    • 2010
  • The ground anchor used in domestic area, which resists by adhesion between anchor body and the ground to the external force, seems not to be adequate for soft ground and urban area where the boundary between structures is close because the ground is disturbed and lost its strength during boring. In order to overcome such a shortcoming an expanded anchor system has been developed. The ground expansion is accomplished by means of Pulse Discharge Technology. In this technology, a high voltage of electricity is stored and discharged in milliseconds which induces high pressure acting on the ground. By making a couple of bulbs, a passive resistance as well as shaft resistance are mobilized, and therefore a higher pullout resistance comparing existing ground anchors is developed.In this study, a couple of full scale tests were conducted in order to figure out how much the resistance of an expanded anchor increases comparing to the straight. As a result, it was found that a remarkable increase in ultimate pullout capacity is observed for the soft ground and as the number of bulb increases. In addtion, as a result of applying to a cut slope reinforcement, it appeared that the length of fixed zone of anchor can be reduced effectively.

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The AHP Method to Quantitate Investigation Items of Cut Slope (계층분석과정을 통한 절토사면 조사항목의 정량화)

  • Lee, Jong-Young;Shin, Chang-Gun;Kim, Yong-Soo;An, Sang-Lo
    • Proceedings of the Korean Geotechical Society Conference
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    • 2006.03a
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    • pp.732-737
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    • 2006
  • The facility diagnosis technique of past subjective judged the technical expert and interpreted stably mainly. The facility the periodical civil official becomes indispensability consequently with the law and the system and objectivity inspection which relates with a this and development of diagnosis technique were necessary. Currently the evaluation elements which relate with an inspection and diagnosis technique depended to the subjectivity of each facility quality, data statistics, diagnosis know-how, various circumstance and the technical expert and the evaluation item came to decide. But the evaluation score distribution of marks of each item depended plentifully in data analysis result and experience. The past method is weak in logically because the objection theoretical background and basis are insufficiency. Consequently in order to apply a data analysis result and an experience logically, it used AHP(Analytic Hierarchy Process) method from this research. It is visible with the fact that the application result reconfirmation and complement process will be necessary the technique which is suitable in the multi facility management. Also it is expected with the fact that the application characteristic from the next relation technique will be excellent.

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Factor Analysis and LISREL Model Development for Landscape Estimation on The Road Cutting Slope Area (도로절토사면(절개면)의 경관평가를 위한 요인분석 및 LISREL 모형구축)

  • 지길용;박일동;임성빈;금기정
    • Journal of Korean Society of Transportation
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    • v.21 no.2
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    • pp.33-43
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    • 2003
  • In South Korea, about 74% of total area is mountainous terrain It is therefore inevitable to make tunnel or cutting slope for road construction. According to a related survey, approximately 2,400 sites of cutting slopes were found from 24 different routes of roadway which is overall 900 km long, implying 2.7 slopes per 1km of roadway on average. Even though safety matter such as the slope failure prevention would be the most important consideration for the construction of cutting slopeslandscape of sloped face is nowadays becoming another important factor due to the growing demand for the driver-friendly road environment Various construction methods which attain this goal should therefore be considered in the design stage of the roadway. The objective of this study is to identify important factors in landscape of sloped-cut roadway using factor analysis. For this, 10 main treatment methods of sloped-cut fact were analyzed. This study employed the LISREL(structural analysis of common variance) model in order to capture the qualitative characteristics of the slope-cut road and examine the relationship between the suey error and the variable(s). As a result, more reasonable landscape evaluation model for the road design and construction was proposed.

The Study for Utilizing Data of Cut-Slope Management System by Using Logistic Regression (로지스틱 회귀분석을 이용한 도로비탈면관리시스템 데이터 활용 검토 연구)

  • Woo, Yonghoon;Kim, Seung-Hyun;Yang, Inchul;Lee, Se-Hyeok
    • The Journal of Engineering Geology
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    • v.30 no.4
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    • pp.649-661
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    • 2020
  • Cut-slope management system (CSMS) has been investigated all slopes on the road of the whole country to evaluate risk rating of each slope. Based on this evaluation, the decision-making for maintenance can be conducted, and this procedure will be helpful to establish a consistent and efficient policy of safe road. CSMS has updated the database of all slopes annually, and this database is constructed based on a basic and detailed investigation. In the database, there are two type of data: first one is an objective data such as slopes' location, height, width, length, and information about underground and bedrock, etc; second one is subjective data, which is decided by experts based on those objective data, e.g., degree of emergency and risk, maintenance solution, etc. The purpose of this study is identifying an data application plan to utilize those CSMS data. For this purpose, logistic regression, which is a basic machine-learning method to construct a prediction model, is performed to predict a judging-type variable (i.e., subjective data) based on objective data. The constructed logistic model shows the accurate prediction, and this model can be used to judge a priority of slopes for detailed investigation. Also, it is anticipated that the prediction model can filter unusual data by comparing with a prediction value.

Assessment of Risk Levels in Cut-Slope Using Dimensionality Reduction and Clustering Analysis (차원축소와 클러스터링 분석을 활용한 도로비탈면 위험등급 산정)

  • Seo, Seunghwan;Kim, Gunwoong;Woo, Younghoon;Park, Byungsuk;Kim, Juhyong;Kim, Seung-Hyun;Chung, Moonkyung
    • Journal of the Korean Geotechnical Society
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    • v.40 no.5
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    • pp.113-129
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    • 2024
  • This study reclassifies the risk levels of cut-slopes and addresses the limitations inherent in existing evaluation methods using road slope maintenance data. Conventional risk assessment predominantly relies on subjective expert judgment, resulting in issues of consistency and reliability. To mitigate these limitations, this study applies dimensionality reduction techniques, specifically Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA), followed by K-means clustering, to classify new risk levels. The clustering results using PCA demonstrated more distinct cluster separation compared to LDA, and also showed superior performance in terms of the silhouette coefficient and other clustering metrics. This suggests that the existing risk level labels may not adequately capture the underlying data structure. Furthermore, the inconsistency observed between LDA-based clustering results and current risk labels indicates potential reliability issues in the present labeling approach. To resolve this, new risk levels were assigned using PCA and K-means clustering, with cluster risk levels evaluated based on risk scores. A quantitative analysis of key risk factors was also conducted to establish criteria for risk classification and assess the impact of each variable on the different risk levels. This study proposes a data-driven, objective, and quantitative approach to risk level evaluation, aiming to improve the efficiency and reliability of road slope management.