• 산업기술연구
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• 제21권B호
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• pp.241-248
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• 2001

Normally at a flood season the operation of the dam depends on a short range weather forecast that makes many difficulties of the management at a dry season. It is needed to study the pattern of the long period rainfall. The concept of PMP(Probable Maximum Precipitation) was used for designing dam. From the concept, this study is applied the concept of monthly probable maximum precipitation for operating dam. It can be possible to let us know the appropriateness of a limiting water level at a rainy season. For the operation of dam at a dry season this study can predict roughly the flood season's pattern of precipitation by month or period, therfore the prediction of precipitation can rise efficient operation of a dam.

• Geomechanics and Engineering
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• 제13권2호
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• pp.217-235
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• 2017

The stability prediction of shallow buried tunnels is one of the most difficult tasks in civil engineering. The aim of this work is to predict the state of collapse in shallow tunnel in layered soils by employing non-associated flow rule and nonlinear failure criterion within the framework of upper bound theorem. Particular emphasis is first given to consider the effects of dilation on the collapse mechanism of shallow tunnel. Furthermore, the seepage forces and surface settlement are considered to analyze the influence of different dilation coefficients on the collapse shape. Two different curve functions which describe two different soil layers are obtained by virtual work equations under the variational principle. The distinct characteristics of falling blocks up and down the water level are discussed in the present work. According to the numerical results, the potential collapse range decreases with the increase of the dilation coefficient. In layered soils, both of the single layer's dilation coefficient and two layers' dilation coefficients increase, the range of the potential collapse block reduces.

• Structural Engineering and Mechanics
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• 제52권1호
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• pp.97-113
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• 2014

In the present work appropriate concrete material models have been proposed to predict drying shrinkage and specific creep of High-performance concrete (HPC) using Artificial Neural Network (ANN). The ANN models are trained, tested and validated using 106 different experimental measured set of data collected from different literatures. The developed models consist of 12 input parameters which include quantities of ingredients namely ordinary Portland cement, fly ash, silica fume, ground granulated blast-furnace slag, water, and other aggregate to cement ratio, volume to surface area ratio, compressive strength at age of loading, relative humidity, age of drying commencement and age of concrete. The Feed-forward backpropagation networks with Levenberg-Marquardt training function are chosen for proposed ANN models and same implemented on MATLAB platform. The results shows that the proposed ANN models are more rational as well as computationally more efficient to predict time-dependent properties of drying shrinkage and specific creep of HPC with high level accuracy.

• 한국소음진동공학회:학술대회논문집
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• 한국소음진동공학회 2001년도 춘계학술대회논문집
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• pp.138-142
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• 2001

A comparison between theoretical and measured transfer function, which relates structure-borne noise source level to underwater radiated noise, of a naval ship is presented in this study. Transfer functions are obtained by dividing far field underwater noise by the value of structure borne noise source levels below machinery mounts. In prediction, statistical energy analysis of the whole ship structure is used to get vibration levels of wetted hull plates below water line. Then, far field radiated noise is calculated by summing up contributions from each plates using vibration levels and radiation efficiencies. And 1/3-octave band underwater sound pressure at the distance of 1 m away from the hull were measured to get experimental transfer functions. The two transfer functions are compared to show resonable agreements in spite of the subtle physical differences between each other.

• 지구물리
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• 제7권2호
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• pp.121-134
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• 2004

This study has tried to develop the modified DRASTIC Model by supplying the parameters, such as structural lineament density and land-use, into conventional DRASTIC model, and to predict the potential of groundwater contamination using GIS in Hwanam 2 District, Gyeonggi Province, Korea. Since the aquifers in Korea is generally through the joints of rock-mass in hydrogeological environment, lineament density affects to the behavior of groundwater and contaminated plumes directly, and land-use reflect the effect of point or non-point source of contamination indirectly. For the statistical analysis, lattice-layers of each parameter were generated, and then level of confidence was assessed by analyzing each correlation coefficient. Groundwater contamination potential map was achieved as a final result by comparing modified DRASTIC potential and the amount of pollutant load logically. The result suggest the predictability of contamination potential in a specified area in the respects of hydrogeological aspect and water quality.

• Nuclear Engineering and Technology
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• 제52권12호
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• pp.2709-2716
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• 2020

Compositions of large nuclear cores (e.g. boiling water reactors) are highly heterogeneous in terms of fuel composition, control rod insertions and flow regimes. For this reason, they usually lack high order of symmetry (e.g. 1/4, 1/8) making it difficult to estimate their neutronic parameters for large spaces of possible loading patterns. A detailed hyperparameter optimization technique (a combination of manual and Gaussian process search) is used to train and optimize deep neural networks for the prediction of three neutronic parameters for the Ringhals-1 BWR unit: power peaking factors (PPF), control rod bank level, and cycle length. Simulation data is generated based on half-symmetry using PARCS core simulator by shuffling a total of 196 assemblies. The results demonstrate a promising performance by the deep networks as acceptable mean absolute error values are found for the global maximum PPF (~0.2) and for the radially and axially averaged PPF (~0.05). The mean difference between targets and predictions for the control rod level is about 5% insertion depth. Lastly, cycle length labels are predicted with 82% accuracy. The results also demonstrate that 10,000 samples are adequate to capture about 80% of the high-dimensional space, with minor improvements found for larger number of samples. The promising findings of this work prove the ability of deep neural networks to resolve high dimensionality issues of large cores in the nuclear area.

• 한국수자원학회논문집
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• 제51권8호
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• pp.687-701
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• 2018

수자원의 추가 확보와 홍수에 대한 선제적 대응을 목적으로 국내 4대강 주요 지점에 다기능보(multi-function weir)를 설치하였다. 다기능보는 흐름 통제 단면으로서 정밀한 유량 산정이 가능한 수리구조물로 하천의 일반적인 수위-유량 관계식보다 정밀하게 산정할 수 있으며, 향후 각 유역의 국가 표준 유량 기준점으로 활용할 수 있는 방안을 강구하는 것이 바람직하다. 이에 본 연구에서는 영산강의 승촌보를 대상으로 현재 취득되는 운영 자료를 분석하여 개선사항을 제시하고, 이를 보완하기 위하여 간접유량추정 방법인 경사-면적법(slope-area method)을 응용하여 정밀한 유량 산정이 가능할 수 있는 방법을 제안하고자 한다. 분석 결과, 현재 상태는 이론적인 유량계수 범위 초과와 급격한 변동, 상 하류부의 수위차를 연동하지 못하는 등 이에 대한 보완이 필요하였다. 응용한 경사-면적법은 앞서 제시한 한계점을 보완하고, 자연 하도의 검증된 수리학적 이론에 의해 수면경사와 마찰손실을 반복 계산을 통해 오차를 줄여나가는 상호 보완적인 방법으로 물리적으로 타당하여 적용가능성을 확인하였다. 향후, 다기능보의 최적 운영을 위하여 이를 적용한다면, 실제 운영에 도움이 될 것으로 기대된다.

• 한국시스템다이내믹스연구
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• 제9권2호
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• pp.105-128
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• 2008

City of Gyeongju's referendum finally offered the long-waited low-level radioactive waste disposal site in November 2005. Gyeongju's positive decision was due to the various economic rewards and incentives the national government promised to the city. 300 billion won for an accepting bonus, the location of the headquarter building of the Korean Hydro and Nuclear Power Co., and the accelerator research center and 3.25 trillion won for supporting regional development program implementation. All of the above will affect the city's infrastructure and the citizens' economic and social lives. Population, land use, economic structure, SOC and quality of life will be affected. Some will be very positive, and some will be negative. This research project will see the future of the city and forecast the demographic, economic, physical and environmental changes of the city via computer simulation's system dynamics technique. This kind of simulation will help City of Gyeongju's what to prepare for the future. The population forecasting of the year 2046 will be 662,424 with the waste disposal site, and 327,274 without the waste disposal site in Gyeongju. The waste disposal site and regional supporting program will increase 184,246 Jobs more with 1,605 agriculture and fishery, 5,369 manufacturing shops and 27,577 shops. The population increase will bring 96,726 more houses constructed in the city. Land use will also be affected. More land will be developed. And road, water plant and waste water plant will be expanded as much. The city's financial structure will be expanded, due to the increased revenues from the waste disposal site, and property tax revenues from the middle-class employees of the company, and the high-powered scientists and technologists from the accelerator research center. All in all, the future of the city will be brighter after operating the nuclear waste disposal site inside the city.

• 한국항해항만학회:학술대회논문집
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• 한국항해항만학회 2004년도 춘계학술대회 논문집
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• pp.217-224
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• 2004

개방해역에서의 폭풍고조의 계산은 특히 해안역의 계획 및 건설 작업 분야에서 의미있는 것이다. 본 연구에서 태풍으로 인한 수위의 변화예측은 물리모델에서나 실제현장에서 다루기가 매우 어렵기 때문에 수치모델에 주로 근거를 두었다. 폭풍고조에 대한 단순준이차원 수치모델을 다루었다. 모델배경에서 여러 가지 가정, 유효범위, 적용성을 이해하기 위하여 태풍과 폭풍의 발생과정을 좌우하는 물리적 인자들에 대하여 논하였다. 또한 수학적 관점 뿐만아니라 물리적인 관점에서 모델의 주요특성을 나타내기 위해 모델의 수립과정에 일반적으로 취한 가정과 함께 지배방정식을 따랐다. 본 논문에서 기술한 모델과 일치하는 방정식은 지배방정식을 축약시킨 것으로 이에 따른 수치기법을 제시하였다. 최종적으로 한국 남해안의 마산항에서 폭풍고조의 문제에 위에서 기술한 모델을 적용하여 천문조, 초기수면, 대기압에 따른 수위상승의 효과를 고려하였다. 아울러 해안도시역에서의 침수원인을 분석하고, 침수방지를 위한 합리적인 제안을 제시하였다.

• Spatial Information Research
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• 제21권5호
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• pp.63-72
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• 2013

본 연구에서는 무주 남대천을 대상으로 재귀호출 알고리듬을 이용하여 제방 파제시 홍수위별 홍수전파 특성을 분석하였다. 먼저 벙구보와 차산보를 파제 지점으로 설정하여 재귀호출 알고리듬에 의한 홍수위별 홍수전파 차수를 분석하였으며, 홍수전파 차수별 격자수와 누계 침수면적을 계산하였다. 또한 홍수전파 차수와 DEM 격자크기를 기준으로 홍수위별로 홍수가 전파되는 시간을 계산하였다. 재귀호출 알고리듬에 의한 홍수전파 차수의 분포특성을 통해 홍수 전파 과정을 파악할 수 있었으며, 홍수전파 차수별 누계 침수면적 그래프의 기울기 패턴을 통해 홍수에 취약한 지역을 선정함으로써 수재해 업무에 기초자료로 제공할 수 있었다. 또한 홍수위별로 홍수전파 시간을 계산함으로써 홍수시 주민들의 대피경로 및 대피시간과 같은 계획을 수립하는데 매우 효과적인 정보를 제공해 줄 수 있을 것으로 판단된다.