• 한국건축시공학회지
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• 제7권3호
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• pp.131-137
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• 2007

To predict deep excavation wall movements is important in the urban areas considering the cost and the safety in construction. Failing to estimate deep excavation wall movements in advance causes too many problems in the projects. The purpose of this study is to propose the forecast model of deep excavation wall movements using artificial neural networks. The data of the Deep Excavation Wall Movements which were done form Long research is used of Artificial neural networks training and apply the real construction work measured data to the Artificial neural networks model. Applying the artificial neural networks to forecast the deep excavation wall movements can significantly contribute to identifying and preventing the accident in the overall construction work.

• Geomechanics and Engineering
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• 제34권3호
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• pp.251-265
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• 2023

In urban construction projects, it is crucial to evaluate the impacts of excavation-induced ground movements in order to protect surrounding structures. These ground movements resulting in damages to the neighboring structures and facilities (i.e., parking basement) are of main concern for the geotechnical engineers. Even more, the danger exists if the nearby structure is an ancient or masonry brick building. The formations of cracks are indicators of structural damage caused by excavation-induced ground disturbances, which pose issues for excavation-related projects. Although the effects of deep excavations on existing brick masonry walls have been thoroughly researched, the impact of twin excavations on a brick masonry wall is rarely described in the literature. This work presents a 3D parametric analysis using an advanced hypoplastic model to investigate the responses of an existing isolated brick masonry wall to twin perpendicular excavations in dry sand. One after the other, twin perpendicular excavations are simulated. This article also looks at how varying sand relative densities (D_r = 30%, 50%, 70%, and 90%) affect the masonry wall. The cracks at the top of the wall were caused by the hogging deformation profile caused by the twin excavations. By raising the relative density from 30% to 90%, excavation-induced footing settlement is greatly minimized. The crack width at the top of the wall reduces as a result of the second excavation in very loose to loose sand (D_r = 30% and 50%). While the crack width on the top of the wall increases owing to the second excavation in medium to very dense sand (D_r = 70% and 90%).

• 한국안전학회지
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• 제19권2호
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• pp.112-118
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• 2004

Recently, when being constructed the large structures, the deep excavations have performed to utilize the underground space. As the ground excavation is deeper, the damage of the adjacent structure and the ground is frequently occurred. the Analysis of the retaining structures is necessary to safety of the excavation works. There are many methods such as elasto-plastic theory, FEM, and FDM to analyze the displacement of the retaining structure. In this thesis, GEBA-1 program by the Nakamura-Nakajawa elasto-plastic method was developed. The lateral displacement of the wall was analyzed by the developed program GEBA-1, SUNEX, and EXCAD, and compared with the measured displacement bye the Inclinometer. The monitored fields were three excavation work site in S-I, S-II, and S-III area. Excavation method of each site is braced retaining wall using H-pile. Excavation depth is 14m, 14m, and 8.2m.

• 문화기술의 융합
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• 제10권1호
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• pp.559-563
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• 2024

현재 우리나라는 도심지 과밀도로 구조물과 인접하여 대규모, 대심도 굴착시공이 이루어지고 있다. 도심지에서의 인접굴착공사는 흙막이 구조물 및 지하구조물의 안전성 확보가 매우 중요하다. 이에 자동화계측 시스템을 도입하여 지하철 터널 구조물에 대한 안전성을 관리하고 있다. 그러나 자동화계측 시스템 결과의 활용도는 매우 낮은 실정이다. 기존 평가기법은 측정된 데이터의 최댓값에만 의존하여, 이상 거동을 과대평가할 수 있는 기법이다. 이에 본 연구에서는 방대한 양의 자동화계측 데이터를 정량적으로 평가할 수 있는 기법인 가우시안 확률밀도함수 분석기법을 이용하여 분석하였다. 방대한 양의 데이터를 확률통계 분석비법을 적용하여 신뢰성 높은 결과를 도출하였다. 따라서 본 연구에서는 방대한 양의 데이터를 처리할 수 있는 기법을 이용하여 인접굴착공사에 따른 지하철 터널 구조물의 안전성 평가를 수행하였다.

• 한국재난정보학회 논문집
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• 제14권3호
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• pp.367-378
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• 2018

연구목적: 본 연구는 국내 도심지 굴착시 흔히 마주치는 암반을 포함한 다층토 지반에서 앵커지지 흙막이 구조물의 합리적인 안전관리방법에 대해 서술하는 것을 목적으로 한다. 연구방법: 흙막이 굴착공사의 붕괴사례 현장으로부터 수집한 현장 계측자료를 바탕으로 깊은 굴착시 앵커지지 흙막이벽체의 수평변위속도 관점에서 흙막이 구조물의 안전관리방법에 대해 접근하였다. 연구결과: 붕괴구간의 흙막이벽체 평균 최대수평변위속도는 굴토완료 이후에 뚜렷하게 증가하는 추세를 보였다. 특히, 암반 불연속면을 따라 발생하는 슬라이딩에 의한 흙막이 구조물 붕괴는 비교적 짧은 시간에 상당히 큰 변위속도를 나타냈다. 결론: 본 연구를 통해 굴착공사중 흙막이 구조물 붕괴 사고를 사전에 예측하고 예방하기 위해 국내 현장에서 일반적으로 적용되어온 수평변위에 의한 정량적인 관리기준보다는 수평 변위속도에 의한 안전관리기준의 활용은 흙막이 굴착공사의 안전성을 판단하는데 훨씬 합리적인 것으로 나타났다.

• 한국지반공학회:학술대회논문집
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• 한국지반공학회 2000년도 봄 학술발표회 논문집
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• pp.395-402
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• 2000

Recently, the deep excavations have been peformed to utilize the under ground space. As the ground excavation is deeper, the damage of the adjacent structure and the ground occurs frequently. The analysis of the retaining structures is necessary to the safety of the excavation works. There are many methods such as elasto-plastic, FEM, and FDM to analyze the displacement of the retaining structure. The elasto-plastic method is generally used in practice. In this thesis, GEBA-1 program by the Nakamura-Nakajawa elasto-plastic method was developed. The program for Windows was used the Visual Basic 6.0, and the Main of the program consists of three subroutines, SUB1, SUB2, and SUB3. The lateral displacement of the wall was analyzed by the developed program GEBA-1, SUNEX, and EXCAD, and compared with the measured displacement by the Inclinometer(at three excavation work sites). The excavation method of each site is braced retaining wall using H-pile. Each excavation depth is 14m, 14m, or 8.2m. The results of the analyses are the followings ① In the multi-layer soil, the lateral displacement by the GEBA-1 and EXCAD which is considering the distribution of the strut load is equal to the measured displacement. Elasto-plasto programs can't consider the change of the ground water in clay. Therefore, the analysis displacement was expected only 20% of the measured wall displacement. ③ At the final excavation step, the maximum lateral displacement of analysis and field occurred 7∼18m at the 85∼92% of the excavation depth. ④ The maximum lateral displacement in clay, as 50mm, occurred on the ground surface.