• 한국유체기계학회 논문집
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• 제16권2호
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• pp.42-47
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• 2013

Ship stability prediction is very complex in reality. In this paper, risk based approach is applied to predict the probability of a certified ship, which is effected by the forces of sea especially the wave loading. Safety assessment and risk analysis process are also applied for the probabilistic prediction of ship stability. The survival probability of ships encountering with different waves at sea is calculated by the existed statistics data and risk based models. Finally, ship capsizing probability is calculated according to single degree of freedom(SDF) rolling differential equation and basin erosion theory of nonlinear dynamics. Calculation results show that the survival probabilities of ship excited by the forces of the seas, especially in the beam seas status, can be predicted by the risk based method.

• Ocean Systems Engineering
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• 제7권2호
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• pp.75-87
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• 2017

A breakwater has always been an ideal option to prevent shoreline erosion due to wave action as well as to maintain the tranquility in the lagoon area. The effects of the impinging wave on the structure could be analyzed and evaluated by several physical and numerical methods. An alternate approach to the numerical methods in the prediction of performance of a breakwater is Artificial Intelligence (AI) tools. In the recent decade many researchers have implemented several Artificial Intelligence (AI) tools in the prediction of performance, stability number and scour of breakwaters. This paper is a comprehensive review which serves as a guide to the current state of the art knowledge in application of soft computing techniques in breakwaters. This study aims to provide a detailed review of different soft computing techniques used in the prediction of performance of different breakwaters considering various combinations of input and response variables.

• 한국측량학회지
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• 제35권2호
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• pp.113-122
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• 2017

Natural disasters caused by climate change are increasing globally. There are few studies on the quantitative analysis methods for predicting damages in the island area due to sea level rise. Therefore, it is necessary to study the damage prediction analysis method using the GIS which can quantitatively analyze. In this paper, we analyze the cause and status of sea level rise, quantify the vulnerability index, establish an integrated terrestrial modeling method of the ocean and land, and establish a method of analyzing the damage area and damage scale due to sea level rise using GIS and the method of making the damage prediction figure was studied. In order to extract the other affected areas to sea level rise are apart of the terrain model is generated by one requires a terrain modeling of target areas are offshore and vertical reference system differences in land, found the need for correction by a tidal observations and geoid model there was. Grading of terrain, coastline erosion rate, coastal slope, sea level rise rate, and even average by vulnerable factors due to sea level rise indicates that quantitative damage prediction is possible due to sea level rise in the island area. In the case of vulnerable areas extracted by GIS, residential areas and living areas are concentrated on the coastal area due to the nature of the book area, and field survey shows that coastal changes and erosion are caused by sea level rise or tsunami.

• 한국지리정보학회지
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• 제8권2호
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• pp.186-195
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• 2005

해빈의 지형을 수년간을 통하여 보면 토사량의 수치는 거의 평형을 유지하여 안정한 상태를 이루고 있다. 그러나 해안에 구조물이 설치되는 요인에 의해 해빈변형이 일어나고 구조물의 기능이 저해되는 경우가 발생한다. 따라서 해빈변형을 미연에 방지하고, 적절한 해안보전사업을 진행하기 위해서는 구조물의 설치에 따른 해빈지형의 변동에 관한 정량적인 예측이 시급히 요구된다. 본 연구는 개발에 따른 해안의 침식과 퇴적 발생에 의해 지속적으로 나타나는 해안의 변화를 분석하고자 하였다 소흑산도항 방사제에서 해안에 8개의 측점군으로 나누어 좌표측량과 수심측량을 실시하여 횡단면도를 작성하였고, 2004년 10월 7일 측량 결과를 기준으로 하여 5개월간의 값들을 비교한 결과 관측기간별 표고 분포와 표고 변화량은 -0.30m~+0.20m 범위로 나타났으며, 전체적으로는 해안선 변화가 미미한 것으로 관측되었다. 해안의 침식 및 퇴적현상의 계절별로 주기적인 관측을 실시하고, 해빈폭 측정으로 해안의 장기적인 변화양상을 조사 분석하는 것이 필요할 것으로 생각된다.

• 한국농공학회논문집
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• 제46권7호
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• pp.3-12
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• 2004

The need to predict the rate of soil erosion, both under existing conditions and those expected to occur following soil conservation practice, has been led to the development of various models. In this study Morgan model especially developed for field-sized areas on hill slopes was applied to assess the rate of soil erosion using RS/GIS environment in the Dukchun river basin, one of two tributaries flowing into Jinyang lake. In order to run the model, land cover mapping was made by the supervised classification method with Landsat TM satellite image data, the digital soil map was generated from scanning and screen digitizing from the hard copy of soil maps, digital elevation map (DEM) in order to generate the slope map was made by the digital map (DM) produced by National Geographic Information Institute (NGII). Almost all model parameters were generated to the multiple raster data layers, and the map calculation was made by the raster based GIS software, IL WIS which was developed by ITC, the Netherlands. Model results show that the annual soil loss rates are 5.2, 18.4, 30.3, 58.2 and 60.2 ton/ha/year in forest, paddy fields, built-up area, bare soil, and upland fields respectively. The estimated rates seemed to be high under the normal climatic conditions because of exaggerated land slopes due to DEM generation using 100 m contour interval. However, the results were worthwhile to estimate soil loss in hilly areas and the more precise result could be expected when the more accurate slope data is available.

• 한국방재학회 논문집
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• 제6권1호
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• pp.69-81
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• 2006

본 연구에서는 댐하류부에서 댐의 방류량에 따른 하상변동을 예측하기 위하여 SMS 모형을 사용하여 2차원 분석을 실시하였다. 용담다목적댐 하류유역인 금강 상류지역에 RMA-2 및 SED-2 모형을 이용하여 수리분석 및 유사이동을 통한 하상변동 모의를 실시한 결과 만곡수로에 대한 횡단면 침식 및 퇴적의 정량적 경향, 교각부근에서 세굴경향의 시각적 분석이 가능하였다. 만곡부인 No.176(1.4 km)지점에서는 $-102.4 mm{\sim}54.2 mm$, No. 146(7.4 km)지점에서는 $-104.1 mm{\sim}28.9 mm$ 정도의 한 횡단면 내에서 침식과 퇴적의 차이가 발생하였고, 직선수로의 감동교(No.164+100)에서는 비교적 균일한 침식이 발생했으나, 만곡수로에 위치한 덤덜교(No.146+50)에서는 만곡의 영향으로 우측의 침식이 활발한 것을 모의 할 수 있었다. 홍수시 댐방류량에 대한 하류부의 대책 수립에 있어서 만곡수로, 교량, 지류합류지점과 같은 1차원 분석으로는 미흡한 취약지구에 대해 2차원적인 분석을 실시하는 것이 타당하다고 판단된다.

• 한국방재학회 논문집
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• 제7권1호통권24호
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• pp.67-72
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• 2007

본 연구에서는 토사에 대한 질량보존의 법칙을 이용하여 자연유역 내 토양의 침식 및 퇴적 잠재능을 산정할 수 있는 모델을 개발하였다. 이 프로그램은 각 셀 별 토사에 대한 질량보존의 법칙을 적용하여 GIS환경하에서 구동 가능하도록 구성되어있으며 셀 별 토사발생량은 RUSLE 공식을 이용하여 산정하였다. 토양의 침식 및 퇴적 잠재능은 토사의 유출량과 유입량의 차에 의해 각 셀이 침식되거나 퇴적된다는 질량보존의 법칙을 이용하여 산정하였다. 질량보존의 법칙을 적용하기 위한 셀 별 토사유출량은 토사발생량과 토사전달률을 곱하여 산정하였으며 이 토사 유출량이 흐름방향 알고리즘에 의해 결정되는 하류 셀의 토사유입량이 된다. 본 연구에서 개발된 모델을 이용하여 국내 소유역에 대해 적용하였으며 그 결과를 실측치와 비교함으로써 모델을 검증하였다.

• Fisheries and Aquatic Sciences
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• 제13권2호
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• pp.167-181
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• 2010

To predict changes in the marine environment of the Beolgyo Stream Estuary in Jeonnam Province, South Korea, where cohesive tidal flats cover a broad area and a large bridge is under construction, this study conducted numerical simulations involving tidal flow and cohesive sediment transport. A wetting and drying (WAD) technique for tidal flats from the Princeton Ocean Model (POM) was applied to a large-scale-grid hydrodynamic module capable of evaluating the flow resistance of structures. Derivation of the eddy viscosity coefficient for wakes created by structures was accomplished through the explicit use of shear velocity and Chezy's average velocity. Furthermore, various field observations, including of tide, tidal flow, suspended sediment concentrations, bottom sediments, and water depth, were performed to verify the model and obtain input data for it. In particular, geologic parameters related to the evaluation of settling velocity and critical shear stresses for erosion and deposition were observed, and numerical tests for the representation of suspended sediment concentrations were performed to determine proper values for the empirical coefficients in the sediment transport module. According to the simulation results, the velocity variation was particularly prominent around the piers in the tidal channel. Erosion occurred mainly along the tidal channels near the piers, where bridge structures reduced the flow cross section, creating strong flow. In contrast, in the rear area of the structure, where the flow was relatively weak due to the formation of eddies, deposition and moderated erosion were predicted. In estuaries and coastal waters, changes in the flow environment caused by artificial structures can produce changes in the sedimentary environment, which in turn can affect the local marine ecosystem. The numerical model proposed in this study will enable systematic prediction of changes to flow and sedimentary environments caused by the construction of artificial structures.

• 한국환경농학회지
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• 제30권3호
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• pp.268-274
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• 2011

본 연구에서는 유량 및 유사량 자료가 부족한 미계측 유역에 대해 Tank모형을 확장하여 궁극적으로 유사량을 평가하는 방법을 제시하였다. 적용 유역은 동해안 타 유역에 비해 유량자료가 확보되어 있는 오십천을 대상으로 집중호우기의 토사유출 특징과 하천의 토사유달률을 구하였다. 본 연구의 주요 결과는 다음과 같다. 1) 실측에 의한 유사량의 산정에 있어서는 먼저 유사량 관계식(sediment rating curve)의 개발이 선행되어야 한다. 본 연구에서는 유량 산정지점에 대해 유량과 병행하여 유사량 관계식을 다음과 같이 구하였다. 오십천 유량-유사량 관계식 : $Q_s=6.017Q^{1.374}$ 2) Tank모형을 적용하여 2006년 강우유출량을 산정한 결과 관측값과 유사한 값($RMSE=1.26m^3/day$)을 얻을 수 있었다. 3) 대상지역의 2006년과 2009년의 연평균 토사전달율 을 비교한 결과 태풍에 따른 집중강우가 있었던 2006년의 토사전달율이 평년의 2009년에 비해 현저하게 높았는데 이는 급격한 강우유출량의 증가에 따른 것이라 보인다. 4) 개량된 Tank모형에 의한 유량 및 토사유출량은 기존의 SRC방법과 비교했을 경우 유사한 경향을 보였으며 이는 향후 유량과 유사량 자료가 부족한 유역에 대해 효과적으로 적용할 수 있을 것으로 본다.

• Journal of Information Processing Systems
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• 제18권4호
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• pp.457-469
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• 2022

Hydraulic concrete buildings in the northwest of China are often subject to the combined effects of low-temperature frost damage, during drying and wetting cycles, and salt erosion, so the study of concrete deterioration prediction is of major importance. The prediction model of the relative dynamic elastic modulus (RDEM) of four different kinds of modified concrete under the special environment in the northwest of China was established using Grey residual Markov theory. Based on the available test data, modified values of the dynamic elastic modulus were obtained based on the Grey GM(1,1) model and the residual GM(1,1) model, combined with the Markov sign correction, and the dynamic elastic modulus of concrete was predicted. The computational analysis showed that the maximum relative error of the corrected dynamic elastic modulus was significantly reduced, from 1.599% to 0.270% for the BS2 group. The analysis error showed that the model was more adjusted to the concrete mixed with fly ash and mineral powder, and its calculation error was significantly lower than that of the rest of the groups. The analysis of the data for each group proved that the model could predict the loss of dynamic elastic modulus of the deterioration of the concrete effectively, as well as the number of cycles when the concrete reached the damaged state.