• Title/Summary/Keyword: 사면재해

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Slope Stability Charts of Soil Nailing Method for Slope Diaster Prevention (사면재해 방지를 위한 Soil Nailing 공법의 사면안정 도표)

  • Kim, Ji-Seong;Ku, Mi-Ok
    • The Journal of the Korea Contents Association
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    • v.16 no.7
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    • pp.457-464
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    • 2016
  • The analysis for stability of slope reinforced with soil nails need professional knowledge and skilled technology for program. So we spend a lot of money and time. In this study, we try to save it. After we analyzed the stability of reinforced slope with MIDAS GTS using shear strength reduction technique, we made charts by result. Charts created in the stydy can be used rapidly in slope disaster prevention. We try to analyze stability of slopes when we changed nail spacing, nail angle, slope type, properties of soil. We obtained relationship as follows; 1) The safety factor appears effectively when the nail angle is $10{\sim}20^{\circ}$. 2) The safety factor appears effectively when the nail spacing is 0.8~1.2m. 3) The error of Singh's and suggested chart are 3.45, 8.65, 4.35% when the slope are 1:0.5, 1:1, 1:2.

Stability Analysis of Landslides using a Probabilistic Analysis Method in the Boeun Area (확률론적 해석기법을 이용한 보은지역의 사면재해 안정성분석)

  • Jeong, Nam-Soo;You, Kwang-ho;Park, Hyuck-Jin
    • The Journal of Engineering Geology
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    • v.21 no.3
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    • pp.247-257
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    • 2011
  • In this study the infinite slope model, one of the physical landslide models has been suggested to evaluate the susceptibility of the landslide. However, applying the infinite slope model in regional study area can be difficult or impossible because of the difficulties in obtaining and processing of large spatial data sets. With limited site investigation data, uncertainties were inevitably involved with. Therefore, the probabilistic analysis method such as Monte Carlo simulation and the GIS based infinite slope stability model have been used to evaluate the probability of failure. The proposed approach has been applied to practical example. The study area in Boeun area been selected since the area has been experienced tremendous amount of landslide occurrence. The geometric characteristics of the slope and the mechanical properties of soils like to friction angle and cohesion were obtained. In addition, coefficient of variation (COV) values in the uncertain parameters were varied from 10% to 30% in order to evaluate the effect of the uncertainty. The analysis results showed that the probabilistic analysis method can reduce the effect of uncertainty involved in input parameters.

A Case Study on the Prediction for Disaster Prevention of Unstable Slope (불안정사면의 재해방지 예측 사례연구)

  • 정철호;심정경
    • Proceedings of the Korean Geotechical Society Conference
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    • 1994.06c
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    • pp.75-93
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    • 1994
  • This paper reviewed safety on unstable slope of site development area in Pusan, and analyzed deformation behavior characteristics cf the slope according to the correlation with the iesultsoffteldmeasurementanddailyrainfalls. The method of the predicticul for disaster Fevention was established as being verified by means of numerical analysis as results.

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Susceptibility Analysis for Rock Slope Hazard Using the Empirical Method (경험론적 방법을 이용한 암반사면재해 취약성 분석)

  • Kim, Jae Min;Choi, Jung Chan
    • The Journal of Engineering Geology
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    • v.24 no.4
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    • pp.473-486
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    • 2014
  • The objective of this study is to produce the rock slope hazard map on the Mt. Hwangryeong located at center of Busan Metropolitan City for evaluating the rock slope hazard susceptibility. The Mt. Hwangryoeng is located between Dongrae and Ilkwang faults and consists of various rocks such as sedimentary rock, andesitic volcanic rock, andesite, gabbro and granitic rocks. Thematic maps were carried out using ArcGIS for Database including the orientations and density of joints, strength of rock constructed through the field survey and results from previous studies. Also, rock slope hazard susceptibility for the Mt. Hwangryoeng area was studied using empirical method through checklists proposed by NDMI (National Disaster Management Institute). Results from using the empirical method indicated that rock slopes are evaluated from very stable to stable, but moderate stability has been partially presented along the edge of the mountain area.

Landslide Triggering Rainfall Threshold Based on Landslide Type (사면파괴 유형별 강우 한계선 설정)

  • Lee, Ji-Sung;Kim, Yun-Tae;Song, Young-Karb;Jang, Dae-Heung
    • Journal of the Korean Geotechnical Society
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    • v.30 no.12
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    • pp.5-14
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    • 2014
  • Most of slope failures have taken place between June and September in Korea, which cause a considerable damage to society. Rainfall intensity and duration are very significant triggering factors for landslide. In this paper, landslide-triggering rainfall threshold consisting of rainfall intensity-duration (I-D) was proposed. For this study, total 255 landslides were collected in landslide inventory during 1999 to 2012 from NDMI (National Disaster Management Institute), various reports, newspapers and field survey. And most of the required rainfall data were collected from KMA (Korea Meteorological Administration). The collected landslides were classified into three categories: debris flow, shallow landslide and unconfirmed. A rainfall threshold was proposed based on landslide type using statistical method such as quantile-regression method. Its validation was carried out based on 2013 landslide database. The proposed rainfall threshold was also compared with previous rainfall thresholds. The proposed landslide-triggering rainfall thresholds could be used in landslide early warning system in Korea.

Development to Prediction Technique of Slope Hazards in Gneiss Area using Decision Tree Model (의사결정나무모형을 이용한 편마암 지역에서의 급경사지재해 예측기법 개발)

  • Song, Young-Suk;Chae, Byung-Gon
    • The Journal of Engineering Geology
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    • v.18 no.1
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    • pp.45-54
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    • 2008
  • Based on the data obtained from field investigation and soil testing to slope hazards occurrence section and non-occurrence section in gneiss area, a prediction technique was developed by the use of a decision tree model, which is one of the statistical analysis methods. The slope hazards data of Seoul and Kyonggi Province, which were induced by heavy rainfall in 1998, were 104 sections in gneiss area. The number of data applied in developing prediction model was 61 sections except a vacant value. Among these data, the number of data occurred slope hazards was 34 sections and the number of data non-occurred slope hazards was 27 sections. The statistical analyses using the decision tree model were applied to chi-square statistics, gini index and entrophy index. As the results of analyses, a slope angle, a degree of saturation and an elevation were selected as the classification standard. The prediction model of decision tree using entrophy index is most likely accurate. The classification standard of the selected prediction model is composed of the slope angle, the degree of saturation and the elevation from the first choice stage. The classification standard values of the slope angle, the degree of saturation and elevation are $17.9^{\circ}$, 52.1% and 320 m, respectively.

Assessement of Rockfall Hazard in the Northeast Region of Ulleung-Do (울릉도 북동부 지역의 낙석재해 위험도 평가)

  • Seo, Yong-Seok;Jang, Hyung-Su;Kim, Kwang-Yeom
    • The Journal of Engineering Geology
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    • v.22 no.3
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    • pp.353-363
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    • 2012
  • The geology of Ulleung-Do is dominated by volcanic rocks with low strength and trachytic rocks with high strength but containing vertical joints that yield easily. Consequently, rockfalls along roadcuts are a major geological hazard, with the potential to affect the ring road of Ulleung-Do. In this study, we performed three types of rockfall hazard-risk assessment on the 3-km-long section of the ring road expected to have the highest possibility of rockfall. We used a rockfall ranking sheet in a roadside landslide hazard map, the Slope Stability Inspection Manual for National Highways (Japan), and a rockfall hazard rating system for inspection from the Japan Highway Public Corporation. We also employed the evaluation criteria of 'RHRS' developed by the Federal Highway Administration (FHA). An analysis of roadcuts at 27 sites with regard to geographic and geological conditions resulted in the identification of three classes of rockfall hazard (high, medium, and low). Of note, over 74% of slopes were assessed as high- and medium-class. Finally, a rockfall hazard map of the northeast region of Ulleung-Do was produced based on the evaluation results.