• Tunnel and Underground Space
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• v.31 no.5
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• pp.309-332
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• 2021

Natural barrier systems surrounding the geological repository for the high-level radioactive waste should guarantee the hydraulic performance for preventing or delaying the leakage of radionuclide. In the case of the behavior of a crystalline rock, the hydraulic performance tends to be decided by the existence of discontinuities, so the coupled hydro-mechanical(HM) processes on the discontinuities should be characterized. The discontinuum modelling can describe the complicated behavior of discontinuities including creation, propagation, deformation and slip, so it is appropriate to model the behavior of a crystalline rock. This paper investigated the coupled HM processes in discontinuum modelling such as UDEC, 3DEC, PFC, DDA, FRACOD and TOUGH-UDEC. Block-based discontinuum methods tend to describe the HM processes based on the fluid flow through the discontinuities, and some methods are combined with another numerical tool specialized in hydraulic analysis. Particle-based discontinuum modelling describes the overall HM processes based on the fluid flow among the particles. The discontinuum methods that are currently available have limitations: exclusive simulations for two-dimension, low hydraulic simulation efficiency, fracture-dominated fluid flow and simplified hydraulic analysis, so it could be improper to the modelling the geological repository. Based on the concepts of various discontinuum modelling compiled in this paper, the advanced numerical tools for describing the accurate coupled HM processes of the deep geological repository should be developed.

• Proceedings of the Korea Water Resources Association Conference
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• 2008.05a
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• pp.1344-1348
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• 2008

HMS(Hydrological Modelling system)는 유역의 지형자료와 강우와 같은 기상관련 시계열 자료 등 수문 유출과 관련되는 많은 매개변수를 포함하고 있으며, 모형의 구동을 위해서는 다양한 공간 비공간 자료 및 시계열 자료가 요구된다. 특히 다양한 비공간 정보의 경우 이를 모형에 적용하기 위해서는 비공간 정보에 대한 열람, 선택, 편집, 적용 시나리오의 설정, 입력변수의 적절성 평가, 모형 구동결과의 검 보정 등 복잡한 절차가 필요하다. 최근 들어 공간자료의 효율적 처리를 위해서 지리정보시스템과 수리 수문모델들 간의 연계를 통한 자료 생성과 입력 및 분석과정을 일괄적으로 처리하고자 하는 연구들이 발표되고 있다. 본 연구에서는 한국형 수자원지리정보시스템인 HyGIS와 HMS 모형의 연계 시스템인 HyGIS-HMS의 개t선과 적용성 평가를 목표로 하고 있다. 이를 위하여 HyGIS-HMS 데이터 모델을 기반으로 하는 시스템의 운영 프로세스를 재정립하였다. HyGIS에서 구축된 공간 DB를 이용하여 HMS 모형의 입력 지형인자를 계산하고 있으며, 수문시계열 자료는 HyGIS의 시계열 DB를 이용하고 있다. HMS에서는 공간 자료와 시계열 자료 외에도 다양한 비공간 자료를 이용하고 있다. 이러한 비공간 정보를 DB기반 시스템에 맞추어 효과적으로 관리 및 사용하기 위하여 HyGIS-HMS에서는 Static DB를 이용하고 있으며, Static DB에서 모형의 입력자료로 직접 이용되는 자료와 모형의 수행결과는 Dynamic DB를 이용하고 있다. 또한 개발된 시스템을 경안천 유역에 적용하여 2006년과 2007년의 유출특성을 분석하였다. 이러한 개발환경의 적용을 통해 HyGIS 데이터모델과 HyGIS-Model의 운영환경이 HyGIS-HMS개발에 효과적으로 이용될 수 있는 것으로 나타났다.

• Journal of Nuclear Fuel Cycle and Waste Technology(JNFCWT)
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• v.20 no.2
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• pp.231-241
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• 2022

Several countries, including Korea, are considering the direct disposal of spent nuclear fuels. The radiological safety assessment results published after a geological repository closure indicate that the instant release is the main radiation source rather than the congruent release. Three Safety Case reports recently published were reviewed and the IRF values of seven long-lived radionuclides, including relevant experimental results, were compared. According to the literature review, the IRF values of both the CANDU and low burnup PWR spent fuel have been experimentally measured and used reasonably. In particular, the IRF values of volatile long-lived nuclides, such as ¹²⁹I and ¹³⁵Cs, were estimated from the FGR value. Because experimental leaching data regarding high burnup spent nuclear fuels are extremely scarce, a mathematical modelling approach proposed by Johnson and McGinnes was successfully applied to the domestic high burnup PWR spent nuclear fuel to derive the IRF values of iodine and cesium. The best estimate of the IRF was 5.5% at a discharge burnup of 55 GWd tHM^-1.

• Explosives and Blasting
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• v.26 no.2
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• pp.11-19
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• 2008

The development of an excavation damaged zone, EDZ, due to the blasting impact and stress redistribution after excavation, can influence on the long tenn stability, economy, and safety of the underground excavation. In this study, the size and characteristics of an EDZ around an underground research tunnel, which was excavated by controlled blasting, in KAERI were investigated. The results were implemented into the modelling for evaluating the influence of an EDZ on hydro-mechanical behavior of the tunnel. From in situ tests at KURT, it was possible to determine that the size of EDZ was about l.5rn. Goodman jack tests and laboratory tests showed that the rock properties in the EDZ were changed about 50% compared to the rock properties before blasting. The size and property change in the EDZ were implemented to a hydro-mechanical coupling analysis. In the modeling, rock strengths and elastic modulus were assumed to be decreased 50% and. the hydraulic conductivity was increased 1 order. From the analysis, it was possible to see that the displacement was increased while the stress was decreased because of an EDZ. When an EDZ was considered in the model, the tunnel inflow was increased about 20% compared to the case without an EDZ.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.33 no.4
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• pp.1413-1424
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• 2013

Recently, the frequency of severe storms increases in Korea. Severe storms occurring in a short time cause huge losses of both life and property. A considerable research has been performed for the flood control system development based on an accurate stream discharge prediction. A physical model is mainly used for flood forecasting and warning. Physical rainfall-runoff models used for the conventional flood forecasting process require extensive information and data, and include uncertainties which can possibly accumulate errors during modelling processes. ANFIS, a data driven model combining neural network and fuzzy technique, can decrease the amount of physical data required for the construction of a conventional physical models and easily construct and evaluate a flood forecasting model by utilizing only rainfall and water level data. A data driven model, however, has a disadvantage that it does not provide the mathematical and physical correlations between input and output data of the model. The characteristics of a data driven model according to functional options and input data such as the change of clustering radius and training data length used in the ANFIS model were analyzed in this study. In addition, the applicability of ANFIS was evaluated through comparison with the results of HEC-HMS which is widely used for rainfall-runoff model in Korea. The neuro-fuzzy technique was applied to a Cheongmicheon Basin in the South Han River using the observed precipitation and stream level data from 2007 to 2011.