선단확장형 쏘일네일링 공법 개발과 거동특성 분석

문홍득(Hongduk Moon),정연득(Youndug Jung) 한국지반환경공학회 2013 한국지반환경공학회논문집 Vol.14 No.3

최근, 갑작스런 집중호우로 인하여 자연 및 인공사면의 붕괴가 종종 발생하고 있다. 이를 예방하기 위한 여러 가지 보강공법들이 개발되어 적용되고 있다. 그 중에서도 쏘일네일링 공법은 시공성과 경제성 등의 이유로 그 활용이 증대되고 있다. 쏘일네일링 공법은 다른 보강공법들과 함께 사용하는 경우도 있으며, 또한 강재와 시멘트그라우팅과의 일종의 복합 구조체로서 지반과 그라우팅사이의 마찰력을 활용하는 공법이다. 본 연구에서는 선단확장형 쏘일네일링 공법을 개발하였으며, 이는 네일 끝단에 앵커체가 부착되어 있다. 이 앵커체는 네일링 작업 중 네일 끝단에서 확개되면서 지반에 정착되게 된다. 본 연구에서는 네일링 시공 후 그라우팅을 하지 않은 상태와 그라우팅 후 양생이 된 경우 각각에 대해 현장인발저항시험을 실시하였다. 시험결과로부터 선단확장형 쏘일네일의 선단쐐기력을 분석하였으며, 거동특성을 종합적으로 고찰하였다. Recently, the natural and man-made slope collapses occur frequently because of sudden heavy rains. So, a variety of slope reinforcement methods have been developed and applied to failure slopes. Soil nailing method usage has been increased because of its workability and economic aspects. This method has been applied in combination with other slope stability methods. Soil nailing method is a kind of combinational structure of steel bar and cement grouting. This method uses skin friction between adjacent ground and cement grouting to stabilize the slope. In this study, End-expanded soil nailing method was developed. This method consists of steel bar and anchor body attached at the tip of the nail. During construction, the anchor body at steel bar tip is settled to the ground through the expanding action. In this study, field pull-out tests were performed for un-grouting soil nailing and grouting soil nailing. From the test results, a wedge force of End-expanded soil nailing method was analyzed. And the behavior characteristics of End-expanded soil nailing were studied.

현장실험을 통한 파형강관의 하중재하에 따른 거동특성 분석

문홍득(Hongduk Moon),정연득(Youndug Jung) 한국지반환경공학회 2013 한국지반환경공학회 학술발표회논문집 Vol.2013 No.9

실트함유율에 따른 낙동강 모래의 불포화 함수특성곡선

문홍득(Moon Hongduk),김대만(Kim Daeman) 한국지반환경공학회 2011 한국지반환경공학회논문집 Vol.12 No.2

본 연구에서는 낙동강 모래를 상대밀도 40%, 60%, 80%, 실트 함유율 0%, 10%, 20%, 30%에 대한 함수특성곡선을 구하였다. 시험결과, 동일 실트함유율에 대해서는 상대밀도가 커질수록 그리고 동일 상대밀도에서는 실트함유율이 커질수록 체적함수비의 변화가 작게 나타났다. 기존의 경험식을 통해 구한 함수특성곡선과 시험에서 구한 결과를 비교하여 보면, van Genuchten(1980), Fredlund와 Xing(1994) 경험식에 의한 함수특성곡선은 시험결과의 경향과 비슷한 S자형 곡선을 나타내어 비교적 시험결과와 잘부합하였다. 특히 Fredlund와 Xing 경험식의 경우 상관계수(R²)가 모두 0.99로 나와 거의 일치하는 결과를 보였다. In this paper, we got soil-water characteristic curve(SWCC) of Nak-Dong River's sand respectively as relative density 40%, 60%, 80% and content of silt 0%, 10%, 20%, 30%. As a result, the more the sand densify in the same silt content and the more the sand has silt in the same relative density, the change of volume water content was decreased. we have known effect of silt contents for SWCC and verified existing empirical formula of SWCC. As experiment results of soil-water characteristic curves compared to the empirical solutions, the results of van Genuchten(1980) and Fredlund & Xing(1994) were well-matched showing S type curves with experiment results. Especially the empirical solution of Fredlund & Xing showed almost same results of the coefficient of correlation(R²) equal to 0.99.

실내 모형실험을 통한 콘크리트 폐침목 쌓기식 옹벽의 거동특성 분석

문홍득(Hongduk Moon),정연득(Youndug Jung) 한국지반환경공학회 2014 한국지반환경공학회 학술발표회논문집 Vol.2014 No.9

마찰돌기를 부착한 지오그리드의 인발특성 평가

문홍득(Hongduk Moon),유철호(Chulho Yoo) 한국지반환경공학회 2014 한국지반환경공학회논문집 Vol.15 No.11

본 연구에서는 실트함유율과 상재하중에 따른 보강재(지오그리드)의 인발저항력의 변화를 알아보기 위하여 실트함유율이 각각 0 %, 17 %, 35 %, 수직하중이 각각 30 kPa, 60 kPa, 120 kPa인 형태로 그리드를 무보강과 마찰돌기 형태로 변화를 주어 인발시험을 시행하였다. 인발시험결과 일반 지오그리드의 경우 실트함유율이 증가하면 인발저항력이 감소되지만 마찰돌기를 부착한 그리드의 경우는 동일조건에서 약 20 %의 증가를 보이는 것으로 확인되었고, 상호작용계수는 실트함유량에 따라 0.7∼1.6의 분포를 보였다. 이러한 결과를 바탕으로 낮은 수직하중상태에서 보강토옹벽의 설계 시 마찰돌기 부착형 보강재는 뒷채움재료 특성에 따라 사용 길이를 감소시킬 수 있을 것으로 평가되었다. In this study, a series of pullout experiments were conducted on geogrid with attached passive reinforcement with respect to silt containments. Experiments were performed on man-made sand ground containing different silt of 0 %, 17 %, 35 % under various normal stresses 30 kPa, 60 kPa, 120 kPa respectively. The pullout test results showed that passive reinforcement increased the pullout strength over all silt contained condition and showed up to 20 % increases for same soil condition. The test results converted to the coefficient of interaction of pullout test to investigate the effect of reinforcement and the case of passive reinforcement showed 0.7∼1.6 distribution depend on a silt contents. Therefore it is concluded that the overall length of geogrid can be reduced under the low vertical stress conditions.

Landslide Susceptibility Analysis in Baekdu Mountain Area Using ANN and AHP Method

Hechun Quan,Hongduk Moon,Guangri Jin,Sungsik Park 한국지반환경공학회 2014 한국지반환경공학회논문집 Vol.15 No.12

To analyze the landslide susceptibility in Baekdu mountain area in china, we get two susceptibility maps using AcrView software through weighted overlay GIS (Geographic Information System) method in this paper. To assess the landslide susceptibility, five factors which affect the landslide occurrence were selected as: slope, aspect, soil type, geological type, and land use. The weight value and rating value of each factor were calculated by the two different methods of AHP (Analytic Hierarchy Process) and ANN (Artificial Neural Network). Then, the weight and rating value was used to obtain the susceptibility maps. Finally, the susceptibility map shows that the very dangerous areas (0.9 or higher) were mainly distributed in the mountainous areas around JiAnShi, LinJiangShi, and HeLongShi near the china-north Korea border and in the mountainous area between the WangQingXian and AnTuXian. From the contrast two susceptibility map, we also Knew that The accuracy of landslide susceptibility map drew by ANN method was better than AHP method.

Landslide Susceptibility Analysis in Baekdu Mountain Area Using ANN and AHP Method

Quan, Hechun,Moon, Hongduk,Jin, Guangri,Park, Sungsik Korean Geo-Environmental Society 2014 한국지반환경공학회논문집 Vol.15 No.12

To analyze the landslide susceptibility in Baekdu mountain area in china, we get two susceptibility maps using AcrView software through weighted overlay GIS (Geographic Information System) method in this paper. To assess the landslide susceptibility, five factors which affect the landslide occurrence were selected as: slope, aspect, soil type, geological type, and land use. The weight value and rating value of each factor were calculated by the two different methods of AHP (Analytic Hierarchy Process) and ANN (Artificial Neural Network). Then, the weight and rating value was used to obtain the susceptibility maps. Finally, the susceptibility map shows that the very dangerous areas (0.9 or higher) were mainly distributed in the mountainous areas around JiAnShi, LinJiangShi, and HeLongShi near the china-north Korea border and in the mountainous area between the WangQingXian and AnTuXian. From the contrast two susceptibility map, we also Knew that The accuracy of landslide susceptibility map drew by ANN method was better than AHP method.

Application of Artificial Neural Networks for Prediction of the Strength Properties of CSG Materials

Lim, Jeongyeul,Kim, Kiyoung,Moon, Hongduk,Jin, Guangri Korean Geo-Environmental Society 2018 한국지반환경공학회논문집 Vol.19 No.5

The number of researches on the mechanical properties of cemented sand and gravel (CSG) materials and the application of the CSG Dam has been increased. In order to explain the technical scheme of strength prediction model about the artificial neural network, we obtained the sample data by orthogonal test using the PVA (Polyvinyl alcohol) fiber, different amount of cementing materials and age, and established the efficient evaluation and prediction system. Combined with the analysis about the importance of influence factors, the prediction accuracy was above 95%. This provides the scientific theory for the further application of CSG, and will also be the foundation to apply the artificial neural network theory further in water conservancy project for the future.

Application of Artificial Neural Networks for Prediction of the Strength Properties of CSG Materials

Jeongyeul Lim,Kiyoung Kim,Hongduk Moon,Guangri Jin 한국지반환경공학회 2018 한국지반환경공학회논문집 Vol.19 No.5

The number of researches on the mechanical properties of cemented sand and gravel (CSG) materials and the application of the CSG Dam has been increased. In order to explain the technical scheme of strength prediction model about the artificial neural network, we obtained the sample data by orthogonal test using the PVA (Polyvinyl alcohol) fiber, different amount of cementing materials and age, and established the efficient evaluation and prediction system. Combined with the analysis about the importance of influence factors, the prediction accuracy was above 95%. This provides the scientific theory for the further application of CSG, and will also be the foundation to apply the artificial neural network theory further in water conservancy project for the future.

Landslide Susceptibility Evaluation in Yanbian Region

Xiuxuan Liu,Hechun Quan,Hongduk Moon,Guangri Jin 한국지반환경공학회 2017 한국지반환경공학회논문집 Vol.18 No.2

In order to evaluate landslide susceptibility in Yanbian region, this study analyzed 7 factors related to landslide occurrence, such as soil, geology, land use, slope, slope aspect, fault and river by Analytic Hierarchy Process (AHP), and calculated the weights of these 7 hazard-induced factors, determined the internal weights and the relative weights between various factors. According to these weights, combining the Remote Sensing technology (RS) with Geographic Information System technology (GIS), the selected area was evaluated by using GIS raster data analysis function, then landslide susceptibility chart was mapped out. The comprehensive analysis of AHP and GIS showed that there has unstable area with the potential risk of sliding in the research area. The result of landslide susceptibility agrees well with the historical landslides, which proves the accuracy of adopted methods and hazard-induced factors.