• 한국측량학회:학술대회논문집
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• 한국측량학회 2007년도 춘계학술발표회 논문집
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• pp.323-328
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• 2007

Geotechnical Information Database Project was began by Ministry of Construction Transport at the 1999, because many people need a sharing and reusing the geotechnical report in construction process. In the beginning, target was report of national highway construction. the whole of country has been target on since the 2005. Today, the 60,581 number of geotechnical data(counted by boring number) is maintained. In this study, Geotechnical Information Distribute System(GIDS) was developed, in order to improve practical use and to be connected to National Geographic Information Center(NGIC). and program to be applicable to construction was suggested. We expect that GIDS make a effect to improve geotechnical data application and to be use in all part of construction process.

• 터널과지하공간
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• 제18권5호
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• pp.317-327
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• 2008

산악지형이 많은 국내 여건으로 인해 많은 암반구조물이 건설되고 있으며, 이와 관련하여 암석물성시험을 포함한 수많은 지반조사가 수행되었다. 본 연구는 국내 암석의 역학적 특성자료의 데이터베이스화를 위한 기본 연구로서, 국기공인시험기관에서 수행되었던 시험자료 약 2000 개에 대해 역학적 상관성에 대해 분석하였다. 효용성있는 데이터베이스를 구축하기 위해서는 신뢰성있는 자료의 축적 뿐 아니라 규격화된 정보를 토대로 체계적인 관리가 필요할 것이다.

• 한국지반공학회:학술대회논문집
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• 한국지반공학회 2004년도 춘계학술발표회
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• pp.946-951
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• 2004

ITIS is applied to the several tunnel construction sites in Korea. Tunnel construction properties which are acquired from these sites are transferred to information management server(SQL 2000 server)by client application program in real time. Access permission to DB server depends on the user's roles. Some functions which cannot be embodied in SQL Server are serviced through XML and GMS server is used for spatial data based on GIS part. This system is supposed to give engineers the advantages which are not only easy handling of the program and computerized documentation on every information during construction but also analyzing the acquired data in order to predict the structure of ground and rock mass to be excavated later and show the guideline of construction. Neung-Dong tunnel and Mu-Gua express way tunnel are now under construction and with this system they have 3D visualized map of the geology and tunnel geometry and accumulate database of construction information such as tunnel face mapping results, special notes and pictures of construction and 3D monitoring data, all matters on the stability of rock bolts and shotcrete, and so on. Ground settlement prediction program included in ITIS, based on the artificial neural network(ANN) and supported by GIS technology is applying to the subway tunnel. This prediction tool can make it possible to visualize the ground settlement according to the excavation procedures by contouring the calculated result on 3D GIS map and to assess the damage of buildings in the vicinity of construction site caused by ground settlement.

• 대한토목학회논문집
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• 제31권2D호
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• pp.335-342
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• 2011

현재 국토해양부에서 구축 및 제공 중인 지반정보는 전 국토를 대상으로 약 10만 공 정도이다. 그러나 지반정보 DB가 2차원적인 기능으로 제공되고 있기 때문에 지반의 해석 및 설계 업무에서의 활용성이 부족하다는 지적이 제기되었다. 본 연구에서는 지반정보의 효과적인 활용을 위하여 3차원 공간정보 기술기반의 지반정보 활용시스템을 개발하였다. 먼저, 부산광역시의 만덕과 동래의 일부 지역을 대상으로 지반정보 활용시스템을 적용하였다. 또한, 10명의 지반정보 관련 전문가들로부터 설문조사 및 의견수렴을 시행하여 시스템의 적용성을 검토하였다. 본 연구를 통하여 3차원 기반의 사용자 중심의 지반정보 활용시스템을 개발할 수 있었으며, 적용성 검토 수행을 통하여 활용 가능성을 충분히 확인할 수 있었다.

• 한국지반공학회논문집
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• 제36권8호
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• pp.7-15
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• 2020

인공신경망(ANN) 지진응답 예측모델 구성을 위해 다양한 지진파 및 지반 조건 하에서 구조물의 최대변위 및 최대 전단력 데이터베이스 구축이 필요하다. 하지만 3차원 컴퓨터 해석을 활용한 데이터베이스 구축은 많은 시간 및 인력, 비용을 발생시킨다. 본 연구에서는 주어진 지반의 포아송비와 전단파 속도에 대하여 건물의 지진응답을 예측할 수 있는 ANN 모델 개발 프레임워크를 소개하였다. 데이터베이스 구축에는 지반-상부 구조물 효과를 고려할 수 있는 간단한 단자유도 모델을 이용하였고 개발된 ANN 모델의 정확도를 결정계수(R²)를 통하여 논의하였다. 또한 구축된 데이터베이스의 백분위 90~100에서 ANN 모델을 구성하고 결정계수를 통해 각 백분위에서 ANN 모델의 정확도에 대하여 논의하였다.

• 한국지반공학회논문집
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• 제30권8호
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• pp.25-37
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• 2014

국내 외 하중저항계수설계법의 저항계수 보정 시 수집된 데이터베이스의 신뢰성을 향상시키기 위하여 저항편향계수 산정 단계에서 저항편향치의 ${\pm}2{\sigma}$ 범위의 데이터만을 선택하거나 가정된 확률분포 검정을 만족하도록 꼬리(tail)부분의 데이터를 제거하는 방법을 적용하고 있다. 그러나 이들 방법에서는 데이터베이스 내에 우연히 포함된 저품질의 데이터를 확인할 수 없는 단점이 발견되었다. 본 연구에서는 정재하시험의 품질, 원지반의 공학적 특성, 쇄석다짐말뚝의 제원 등의 품질기준을 이용하여 데이터베이스 구축 단계에서 수행할 수 있는 품질평가법을 제안하였으며, 국내 외 문헌 및 정재하시험 보고서로부터 65개소의 정재하시험 데이터를 수집하여 데이터베이스의 구축 및 품질평가를 수행하였다. 데이터베이스의 품질 평가 상태에 따른 저항편향계수와 변동계수, 저항계수를 비교한 결과, 기존의 데이터베이스 처리과정과 품질평가법을 병행할 경우에 저항편향계수의 불확실성이 감소되며, 신뢰도 높은 LRFD 저항계수 보정에 효과적인 것으로 판단된다.

• 한국지반공학회:학술대회논문집
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• 한국지반공학회 2000년도 봄 학술발표회 논문집
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• pp.297-302
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• 2000

This paper reports the application of GPS (Global Positioning System) technique into the geotechnical information system. Typical example of such application can be the database of logging data. Other examples can be found from the surveying for road work, excavation work, landslide mapping and image processing of slope face. This paper also reports the enhancement method of the accuracy. The results from this study confirms that GPS could be a powerful tool for the future geotechnical investigation works in Korea.

• Structural Engineering and Mechanics
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• 제54권2호
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• pp.363-378
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• 2015

Estimation of geotechnical properties is an essential but challenging task since they are major components governing the safety and reliability of the entire structural system. However, due to time and budget constraints, reliable geotechnical properties estimation using traditional site characterization approach is difficult. In view of this, an alternative efficient and cost effective approach to address the overall uncertainty is necessary to facilitate an economical, safe and reliable geotechnical design. In this paper a probabilistic approach is proposed for real-time updating by incorporating new geotechnical information from the underlying project site. The updated model obtained from the proposed method is advantageous because it incorporates information from both existing database and the site of concern. An application using real data from a site in Hong Kong will be presented to demonstrate the proposed method.

• Geomechanics and Engineering
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• 제30권5호
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• pp.437-448
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• 2022

Alluvial soil is challenging to work with due to its high compressibility. Thus, consolidation settlement of this type of soil should be accurately estimated. Accurate estimation of the consolidation settlement of alluvial soil requires accurate prediction of compressibility parameters. Geotechnical engineers usually use empirical correlations to estimate these compressibility parameters. However, no attempts have been made to develop correlations to estimate compressibility parameters of alluvial soil. Thus, this paper aims to develop new models to predict the compression and recompression indices (Cc and Cr) of alluvial soils. As part of the study, geotechnical laboratory tests have been conducted on large number of undisturbed samples of local alluvial soil. The obtained results from these tests in addition to available results from the literature from different parts in the world have been compiled to form the database of this study. This database is then employed to examine the accuracy of the available empirical correlations of the compressibility parameters and to develop the new models to estimate the compressibility parameters using the nonlinear regression analysis. The accuracy of the new models has been accessed using mean absolute error, root mean square error, mean, percentage of predictions with error range of ±20%, percentage of predictions with error range of ±30%, and coefficient of determination. It was found that the new models outperform the available correlations. Thus, these models can be used by geotechnical engineers with more confidence to predict Cc and Cr.

• Geomechanics and Engineering
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• 제35권4호
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• pp.425-436
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• 2023

An effective tool for researching actual problems in geotechnical and mining engineering is to conduct physical modeling tests using similar materials. A reliable geometric scaled model test requires selecting similar materials and conducting tests to determine physical properties such as the mixing ratio of the mixed materials. In this paper, a method is proposed to determine similar materials that can reproduce target properties using a polynomial model based on experimental results on modeling materials using a gypsum-sand mixture (GSM) to simulate rocks. To that end, a database is prepared using the unconfined compressive strength, elastic modulus, and density of 459 GSM samples as output parameters and the weight ratio of the mixing materials as input parameters. Further, a model that can predict the physical properties of the GSM using this database and a polynomial approach is proposed. The performance of the developed method is evaluated by comparing the predicted and observed values; the results demonstrate that the proposed polynomial model can predict the physical properties of the GSM with high accuracy. Sensitivity analysis results indicated that the gypsum-water ratio significantly affects the prediction of the physical properties of the GSM. The proposed polynomial model is used as a powerful tool to simplify the process of determining similar materials for rocks and conduct highly reliable experiments in a physical modeling test.