• Tunnel and Underground Space
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• v.14 no.1
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• pp.54-68
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• 2004

In this study, scaled model tests were performed on blasting demolition of reinforced concrete structures and the experimental results were analyzed in comparison with the results of numerical analysis. The tests were designed to induce a progressive collapse, and physical properties of the scaled model were determined using scale factors obtained ken dimension analysis. The scaled model structure was made of a mixture of plaster, sand and water at the ratio determined to yield the best scaled-down strength. Lead wire was used as a substitute for reinforcing bars. The scaled length was at the ratio of 1/10. Selecting the material and scaled factors was aimed at obtaining appropriately scaled-down strength. PFC2D (Particle Flow Code 2-Dimension) employing DEM (Distinct Element Method) was used for the numerical analysis. Blasting demolition of scaled 3-D plain concrete laymen structure was filmed and compared to results of numerical simulation. Despite the limits of 2-D simulation the resulting demolition behaviors were similar to each other. Based on the above experimental results in combination with bending test results of RC beam, numerical analysis was carried out to determine the blasting sequence and delay times. Scaled model test of RC structure resulted in remarkably similar collapse with the numerical results up to 900㎳ (mili-second).

• Geophysics and Geophysical Exploration
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• v.4 no.1
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• pp.1-7
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• 2001

The application of geophysical survey methods need to be integrated to meet the increasing demands of imaging of the subsurface in the practical application of civil engineering, underground water survey and environmental problems. This paper examines the IP survey which can be surveyed simultaneously with DC resistivity survey. In this study, 3-D IP modeling algorithm was developed. The 3-D IP modeling algorithm was based on 3-D resistivity modeling by finite-element method. The result of 3-D modeling was compared with 2-dimensional modeling result. The result showed that the 3-D modeling algorithm developed in this study was accurate. Finally, the 3-D modeling algorithm developed in this paper will be useful for the study of IP data.

• Proceedings of the Korea Water Resources Association Conference
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• 2006.05a
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• pp.1037-1041
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• 2006

본 연구에서는 수질자료에 내재되어 있는 주기성 및 경향성 등을 파악하기 위해 웨이블렛 변환을 적용하였으며 비선형 시계열자료에 대한 예측력이 우수한 인공신경망을 적용하여 예측모형을 개발하였다. 대상자료는 섬진강 유역의 주암호 수질자동측정망 지점에서 측정되고 있는 수질자료 중 2002년 1월 1일 ${\sim}$ 2004년 12월 31일까지의 일 TOC 수질자료를 이용하였다. 웨이블렛 변환을 위해 사용한 기저함수로는 Daubechies의 10번 웨이블렛 함수('db10')를 사용하였으며, 각 스케일링 및 웨이블렛 함수를 이용하여 5단계까지 변환하였다. 최종 변환된 근사성분과 D5, D4, D3, D2의 상세성분 자료를 이용하여 1시간후 TOC 예측 모형을 구성하였으며 그 결과 은닉층의 노드의 수가 17개인 모형인 Model_5_17 모형이 가장 우수한 예측력을 보였다.

• Proceedings of the Korea Water Resources Association Conference
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• 2022.05a
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• pp.53-53
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• 2022

본 연구는 낙동강 상류에 위치한 안동댐 하류(4,565.7 km²)를 대상으로 1차원 물리적 서식처모형인 PHABSIM(Physical Habitat Simulation System)과 2차원 물리적 서식처 모형인 River2D를 이용하여 대표어종인 피라미에 대해 환경생태유량과 어류서식처 면적을 산정하였다. 두 모형의 구축을 위해 낙동강 하천기본계획보고서(2009)를 수집하여 하천단면과 수리학적 자료를 두 서식처모형에 적용하였다. 유속과 수위자료의 경우, 낙동강수문조사연보와 검보정된 HEC-RAS를 활용하여 갈수량 Q355(10.95 m³/sec)와 평수량 Q185(41.72 m³/sec)에서의 유속과 수위를 생성하여 적용하였다. 대표어종 선정을 위해 총 4회에 걸쳐 현장조사를 진행하였으며, 수집한 어종들에 대해 상대풍부도와 출현 개체수 분석결과 54.2%의 상대풍부도와 총 110개의 개체수를 나타낸 피라미(Z acco platypus)를 대표어종으로 선정하였다. 서식처 적합도 지수 HSI(Habitat Suitability Index)는 피라미 출현시기의 수심(Depth), 유속(Velocity) 그리고 하상재료(Substrate)를 조사하여 적립하였으며 수심은 0.4~0.6 m, 유속은 0.3~0.5 m/s, 하상재료는 모래(2.0 mm)~잔자갈(16.0 mm)일 때 HSI가 가장 적합한 것으로 분석되었다. PHABSIM을 이용하여 피라미에 대해 최적 환경생태유량 산정결과 20.0 m³/sec로 산정되었고, 모의한 30개 유량에 대해 평균 어류서식처 면적은31,905.3 m²/1,000m로 산정되었다. PHABSIM으로 산정된 환경생태유량과 River2D를 이용하여 하천유량이 Q355와 환경생태유량일 때의 공간분석을 실시하였다. Q355와 비교하여 환경생태유량일 때 유속과 수심 HSI에 대한 공간분포와 어류서식처 면적 또한 더 큰 것으로 분석되었다.

• Journal of Korea Water Resources Association
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• v.51 no.4
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• pp.347-354
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• 2018

In urban areas, runoff flow is drained through sewer networks as well as surface areas. Therefore, it is very important to consider sewer networks as a component of hydrological drainage processes when conducting urban inundation modelling. However, most researchers who have implemented urban inundation/flood modelling, instinctively simplified the sewer networks without the appropriate criteria. In this research, a 1D-2D fully coupled urban inundation model is applied to estimate the influence of sewer network simplification on urban inundation modelling based on the dendritic network classification. The one-dimensional (1D) sewerage system analysis model, which was introduced by Lee et al. (2017), is used to simulate inlet and overflow phenomena by interacting with surface flow. Two-dimensional (2D) unstructured meshes are also applied to simulate surface flow and are combined with the 1D sewerage analysis model. Sewer network pipes are simplified based on the dendritic network classification method, namely the second and third order, and all cases of pipes are conducted as a control group. Each classified network case, including a control group, is evaluated through their application to the 27 July 2011 extreme rainfall event, which caused severe inundation damages in the Sadang area in Seoul, South Korea. All cases are compared together regarding inundation area, inflow discharge and overflow discharge. Finally, relevant criterion for the simplification method is recommended.

• Journal of Korea Water Resources Association
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• v.44 no.1
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• pp.31-40
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• 2011

In this study, the methods of sedimentation reduction for the estuary barrage were analyzed using the CCHE2D bed change model. Especially, the effectiveness of sediment dredging currently applied in the field was evaluated quantitatively and also the channel contraction method which is a substitute method was analyzed for the Nakdong River Estuary Barrage (NREB). The numerical model was calibrated and validated for the sediment transport equations and transport modes. In the NREB case, the Ackers and White formula and bed load type was the most similar to the field condition. As a results of the dredging simulation, there was the sedimentation reduction effect of 0.2 m in the bed changes. Furthermore, the analysis result of the channel contraction method represented that the sedimentation reduction effects of the average 0.4 m and the maximum 2.0 m were produced.

• Journal of the Korean Society of Hazard Mitigation
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• v.5 no.3 s.18
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• pp.73-82
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• 2005

The scheme for the conveyance increasement of urban river is presented in this study. For the use of the lower part of the road paralleled to urban river as a conveyance, the 2-dimensional flood flow between main channel and added conveyance section is analyzed by mathematical model SMS(2-D simulation model). The result of the HEC-RAS(1-D simulation model) is used to calibrate the parameters of SMS. New scheme is applied to the Cheonggeyecheon Restoration Project. The capacity of flood flow between main channel and added conveyance is simulated for 50, 80, 200 year frequency flood and suitable size of pathway is proposed.

• Journal of Korea Water Resources Association
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• v.54 no.7
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• pp.495-507
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• 2021

With the recent industrial development, accidental pollution in riverine environments has frequently occurred. It is thus necessary to simulate pollutant transport and dispersion using water quality models for predicting pollutant residence times. In this study, we conducted a field experiment in a meandering reach of the Sum River, South Korea, to validate the field applicability and prediction accuracy of RAMS+ (River Analysis and Modeling System+), which is a two-dimensional (2D) stream flow/water quality analysis program. As a result of the simulation, the flow analysis model HDM-2Di and the water quality analysis model CTM-2D-TX accurately simulated the 2D flow characteristics, and transport and mixing behaviors of the pollutant tracer, respectively. In particular, CTM-2D-TX adequately reproduced the elongation of the pollutant cloud, caused by the storage effect associated with local low-velocity zones. Furthermore, the transport model effectively simulated the secondary flow-driven lateral mixing at the meander bend via 2D dispersion coefficients. We calculated the residence time for the critical concentration, and it was elucidated that the calculated residence times are spatially heterogeneous, even in the channel-width direction. The findings of this study suggest that the 2D water quality model could be the accidental pollution analysis tool more efficient and accurate than one-dimensional models, which cannot produce the 2D information such as the 2D residence time distribution.

• Journal of KIISE:Software and Applications
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• v.28 no.1
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• pp.46-51
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• 2001

2D로 확장한 HMM은 다수 제안되었지만 엄밀한 의미에 있어서 2D HMM이라고 하기에 부족한 점이 많다. 본 논문에서는 기존의 랜덤 필드 모형이 아닌 새로운 2D HMM을 제안한다. 상하 및 좌우 방향의 causal chain 관계를 가정하고 완전한 격자 형성 조건을 두어 2D HMM의 평가, 매개 변수를 추정하는 알고리즘을 제시하였다. 각각의 알고리즘은 동적 프로그래밍과 최우 추정법에 근거한 것이다. 변수 추정 알고리즘은 반복적으로 이루어지며 국소 최적치에 수렴함을 보였다.

• Journal of Korea Water Resources Association
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• v.47 no.8
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• pp.729-742
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• 2014

This study predicted long-term sediment distribution for 76 years by using RMA-2 which is two-dimensional numerical model and SED2D which is the sediment transport model to quantitatively analyze sediment distribution in the reservoir based on sediment intrusion and efficiently manage the reservoir. For water level-discharge-sediment data required in boundary conditions of the model, real-time data measured by the Korea Water Resources Corporation were used. The sediment input data was calculated using K-DRUM model. Sedimentation depth was compared with results of model by collecting cross-section core in the reservoir during the dry season. As the result of validation, the sediment depth in the reservoir was similar to actually measured value. For prediction of long-term sediment distribution, terrain data measured in 2012 was used as starting crosssection and simulations for 76 years until 2088 were made. As the results of simulations, sediment distributions of 1.63~1.26 m and 1.45~0.007 m were shown in upstream and downstream of Hapcheon Dam, respectively.