• Title/Summary/Keyword: Flow Prediction

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Prediction of Hydodynamic Impact Loads on Three-Dimensional Bodies (3차원 물체에 작용하는 유체동력학적 충격하중추정)

  • Troesch, Arimin W.;Kang, Chang-Gu
    • Bulletin of the Society of Naval Architects of Korea
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    • v.27 no.3
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    • pp.73-88
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    • 1990
  • The three dimensional aspects of hydrodynamic impact are discussed. Theoretical and experimental results for a sphere and a cusped body are presented. The cusped body is axisymmetric and resembles the bow profile of a ship with flare. The sphere was subjected to both vertical and oblique impact angles while the cusped body experienced only vertical motion. Three dimensional calculations using normal dipole distributions and an equi-potentioal free surface are compared with experimental results. The theoretical boundary value problem was solved using a known interior flow. This procedure reduced computation times significantly. Comparisons between theory and experiment show that, depending upon the body shape theoretical estimates of the maximum impact force may be larger or smaller than the experimental values. But the theoretical estimate can be used for practical purposes.

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Prediction of sediment flow to Pleikrong reservoir due to the impact of climate change

  • Xuan Khanh Do;ThuNgaLe;ThuHienNguyen
    • Proceedings of the Korea Water Resources Association Conference
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    • 2023.05a
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    • pp.38-38
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    • 2023
  • Pleikrong reservoir with a concrete gravity dam that impound more than 1 billion cubic meter storage volume is one of the largest reservoir in Central Highland of Vietnam. Sedimentation is a major problem in this area and it becomes more severe due to the effect of climate change. Over time, it gradually reduces the reservoir storage capacity affecting to the reliability of water and power supply. This study aims to integrate the soil and water assessment tool (SWAT) model with 14 bias-corrected GCM/RCM models under two emissions scenarios, representative concentration pathway (RCP) 4.5 and 8.5 to estimate sediment inflow to Pleikrong reservoir in the long term period. The result indicated that the simulated total amount of sediment deposited in the reservoir from 2010 to 2018 was approximately 39 mil m3 which is a 17% underestimate compared with the observed value of 47 mil m3. The results also show the reduction in reservoir storage capacity due to sedimentation ranges from 25% to 62% by 2050, depending on the different climate change models. The reservoir reduced storage volume's rate in considering the impact of climate change is much faster than in the case of no climate change. The outcomes of this study will be helpful for a sustainable and climate-resilient plan of sediment management for the Pleikrongreservoir.

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Development of L-THIA sub-daily flow-water quality prediction system (L-THIA 시단위 유량-수질 예측 시스템 개발)

  • Gwanjae Lee;Yonghun Choi;Seoro Lee;Kyoung Jae Lim
    • Proceedings of the Korea Water Resources Association Conference
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    • 2023.05a
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    • pp.262-262
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    • 2023
  • 기후변화 및 도시화에 따른 강우 패턴의 변화는 수문 변화를 야기시키며, 이에 따른 영향을 평가하고 예측하기 위해서는 수문학적 모델을 통해 정량화하는 과정이 필요하다. 그러나 기존에 개발되어 사용되고 있는 대부분의 수문학적 모델은 해외에서 개발되어 국내 유역 특성을 반영하지 못하는 한계가 있다. 이러한 한계점을 극복하기 위해서 L-THIA ACN-WQ 2016과 2018 모델이 개발되어 적용성이 평가된 바 있다. 하지만 L-THIA ACN-WQ 모델의 경우 시단위 유량 및 수질 모의가 불가능한 한계점이 있다. 소규모 유역이나 도시화된 지역에서는 하루에 여러 번의 강우 이벤트가 발생하거나 단기간에 많은 양의 강우가 발생하는 경우가 많기 때문에, 이러한 강우-유출을 평가하기 위해서는 시단위 모의가 필요하다. 본 연구에서는 시단위 유량-수질 모의가 가능한 L-THIA sub-daily WQ 모델을 개발하였으며, 갑천 유역과 복하천 유역에서 적용성을 평가하였다. L-THIA sub-daily WQ 모델은 SCS-CN 방법과 Green-Ampt 방법을 함께 고려할 수 있도록 개발하였으며, 국내의 토지이용 및 강우 특성을 고려할 수 있도록 점근 CN과 강우 계급별 EMC를 활용하였다. 갑천 유역과 복하천 유역에서 시단위 유량 예측 결과 R2는 0.61~0.69, NSE는 0.61~0.65, PBIAS는 -4.0~-7.3으로 모의된 시단위 유량이 자연현상을 잘 모의하는 것으로 나타났으며, 수질 예측 결과 T-P와 SS가 자연현상을 잘 모의하는 것으로 나타났다. 따라서, 본 연구에서 개발된 L-THIA sub-daily WQ 모델은 점오염원을 포함하고 있는 도시유역에서 비점오염원에 평가에 활용될 수 있을 것으로 사료된다.

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Long-term Prediction on the environmental flow and ecosystem habitat using ecosystem functions model considering future climate change (기후변화를 고려한 생태계기능 모델 기반 환경유량 산정 및 서식처 변화 전망)

  • Park, Seo-Yeon;Lee, Joo-Heon
    • Proceedings of the Korea Water Resources Association Conference
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    • 2021.06a
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    • pp.10-10
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    • 2021
  • 하천은 인간뿐만 아니라 다양한 생물이 서식하는 장소로 하천생태계 보전은 수많은 생물들에게 있어 중요한 요소이다. 1970년대의 국내 하천은 대부분 자연하천의 모습을 경제 성장과 더불어 도시화, 공업화 등으로 용수 수요가 급속히 증가함에 따라 기능 위주의 하천관리가 이루어졌으며, 이로 인해 하천유황의 장기적인 변화가 나타났다. 변화가 발생한 하천은 본래의 모습인 자연 하천으로 완벽하게 복원될 수 없다는 한계점이 있으나, 자연과 인간이 서로 유익하게 도움을 주는 양방향 관계로 발전한다면 하천의 기능도 유지하고 하천수생생물 보존에도 긍정적인 영향을 미칠 수 있다. 즉, 하천이 갖고 있는 하천공학적 기능을 최대한 유지하면서도 다양한 수생생물의 서식처의 기능도 되살아나게 해야하는 복합적인 목적을 갖고 있다. 하천 수생생물의 서식처 복원을 위해서는 하천생태계에 필요한 환경유량의 정량적인 평가와 확보방안 및 공급방안의 검토가 필요하다. 본 연구에서는 HEC-EFM(Ecosystem Function Model)을 활용하여 하천 수생생물의 서식조건을 고려한 환경유량을 산정하였다. 연구 대상유역은 2013년 김천부항댐이 준공된 감천유역을 연구대상유역으로 선정하였으며, 댐 건설에 따른 환경유량의 변화와 기후변화를 고려한 가까운 미래의 수문환경 변화 및 이에 따른 환경유량과 하천생태계 서식처 변화를 살펴보고자 하였다.

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Prediction of acoustic field induced by a tidal turbine under straight or oblique inflow via a BEM/FW-H approach

  • Seungnam Kim;Spyros A. Kinnas
    • Ocean Systems Engineering
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    • v.13 no.2
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    • pp.147-172
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    • 2023
  • This study investigates the influence of loading and inflow conditions on tidal turbine performance from a hydrodynamic and hydroacoustic point of view. A boundary element method is utilized for the former to investigate turbine performance at various loading conditions under zero/non-zero yaw inflow. The boundary element method is selected as it has been selected, tested, and validated to be computationally efficient and accurate for marine hydrodynamic problems. Once the hydrodynamic solutions are obtained, such as the time-dependent surface pressures and periodic motion of the turbine blade, they are taken as the known noise sources for the subsequence hydroacoustic analysis based on the Ffowcs Williams-Hawkings formulation given in a form proposed by Farassat. This formulation is coupled with the boundary element method to fully consider the three-dimensional shape of the turbine and the speed of sound in the acoustic analysis. For validations, a model turbine is taken from a reference paper, and the comparison between numerical predictions and experimental data reveals satisfactory agreement in hydrodynamic performance. Importantly, this study shows that the noise patterns and sound pressure levels at both the near- and far-field are affected by different loading conditions and sensitive to the inclination imposed in the incoming flow.

Diameter Evaluation for PHWR Pressure Tube Based on the Measured Data (측정 데이터 기반 중수로 압력관 직경평가 방법론 개발)

  • Jong Yeob Jung;Sunil Nijhawan
    • Transactions of the Korean Society of Pressure Vessels and Piping
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    • v.19 no.1
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    • pp.27-35
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    • 2023
  • Pressure tubes are the main components of PHWR core and serve as the pressure boundary of the primary heat transport system. However, because pressure tubes have changed their geometrical dimensions under the severe operating conditions of high temperature, high pressure and neutron irradiation according to the increase of operation time, all dimensional changes should be predicted to ensure that dimensions remain within the allowable design ranges during the operation. Among the deformations, the diameter expansion due to creep leads to the increase of bypass flow which may not contribute to the fuel cooling, the decrease of critical channel power and finally the deration of the power to maintain the operational safety margin. This study is focused on the modeling of the expansion of the pressure tube diameter based on the operating conditions and measured diameter data. The pressure tube diameter expansion was modeled using the neutron flux and temperature distributions of each fuel channel and each fuel bundle as well as the measured diameter data. Although the basic concept of the current modeling approach is simple, the diameter prediction results using the developed methodology showed very good agreement with the real data, compared to the existing methodology.

Prediction of Cryogenic- and Room-Temperature Deformation Behavior of Rolled Titanium using Machine Learning (타이타늄 압연재의 기계학습 기반 극저온/상온 변형거동 예측)

  • S. Cheon;J. Yu;S.H. Lee;M.-S. Lee;T.-S. Jun;T. Lee
    • Transactions of Materials Processing
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    • v.32 no.2
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    • pp.74-80
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    • 2023
  • A deformation behavior of commercially pure titanium (CP-Ti) is highly dependent on material and processing parameters, such as deformation temperature, deformation direction, and strain rate. This study aims to predict the multivariable and nonlinear tensile behavior of CP-Ti using machine learning based on three algorithms: artificial neural network (ANN), light gradient boosting machine (LGBM), and long short-term memory (LSTM). The predictivity for tensile behaviors at the cryogenic temperature was lower than those in the room temperature due to the larger data scattering in the train dataset used in the machine learning. Although LGBM showed the lowest value of root mean squared error, it was not the best strategy owing to the overfitting and step-function morphology different from the actual data. LSTM performed the best as it effectively learned the continuous characteristics of a flow curve as well as it spent the reduced time for machine learning, even without sufficient database and hyperparameter tuning.

Applications of Data Science Technologies in the Field of Groundwater Science and Future Trends (데이터 사이언스 기술의 지하수 분야 응용 사례 분석 및 발전 방향)

  • Jina Jeong;Jae Min Lee;Subi Lee;Woojong Yang;Weon Shik Han
    • Journal of Soil and Groundwater Environment
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    • v.28 no.spc
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    • pp.18-39
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    • 2023
  • Rapid development of geophysical exploration and hydrogeologic monitoring techniques has yielded remarkable increase of datasets related to groundwater systems. Increased number of datasets contribute to understanding of general aquifer characteristics such as groundwater yield and flow, but understanding of complex heterogenous aquifers system is still a challenging task. Recently, applications of data science technique have become popular in the fields of geophysical explorations and monitoring, and such attempts are also extended in the groundwater field. This work reviewed current status and advancement in utilization of data science in groundwater field. The application of data science techniques facilitates effective and realistic analyses of aquifer system, and allows accurate prediction of aquifer system change in response to extreme climate events. Due to such benefits, data science techniques have become an effective tool to establish more sustainable groundwater management systems. It is expected that the techniques will further strengthen the theoretical framework in groundwater management to cope with upcoming challenges and limitations.

Prediction of a Leakage in a Liquid Hydrogen Pump Using a Finite Element Method (유한요소 해석을 이용한 액화수소 펌프 누설량 예측)

  • HYUNSE KIM;YOUNG-BOG HAM
    • Journal of Hydrogen and New Energy
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    • v.34 no.3
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    • pp.292-296
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    • 2023
  • Until recently, ships, automobiles, and drones using hydrogen energy are being actively researched. In addition, stations and facilities for hydrogen supply are being developed widely. Among them, a hydrogen pump is necessary for compressing it and transfer to other stations. The liquid hydrogen pump is operated at very high pressure up to 90 MPa. In our research, a reciprocating plunger pump is studied. Especially, a leakage in a liquid hydrogen pump is predicted using a finite element method. As a result, it was found that leak mass flow rates changed from 0.09 to 2.20 kg/h, when the gaps were given from 2 to 6 ㎛. Thus pump efficiencies were calculated from 99.9 to 97.9%, when the gaps changed from 2 to 6 ㎛. These results are useful for the design of the liquid hydrogen pump.

Characteristics of Luminescence Signals According to the Depositional Environment (퇴적 환경에 따른 루미네선스 신호의 특성)

  • Hong, Seongchan;Choi, Kwang Hee
    • Journal of The Geomorphological Association of Korea
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    • v.28 no.2
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    • pp.59-70
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    • 2021
  • This study aims to determine the sunlight exposure according to depositional environment to improve the accuracy of optically simulated luminescence (OSL) dating. Sufficient sunlight exposure during transportation of sediment is a basic assumption of the OSL dating, and if the process does not occur enough, the results may be overestimated compared to the actual depositional age. Therefore, the main purpose of this study is to establish a correction method by determining residual or unbleachable dose after sunlight exposure in the actual deposition process, not in the laboratory measurement. Four samples from two sites were collected according to the depositional environment from rivers and coasts, and various OSL signals, including the size of residual dose, degree of dispersion between grains, and OSL signal sensitivity, were measured. As a result, it was confirmed that sediments formed under temporarily high energy environments, such as floods and surges, had relatively high residual dose or large dispersion of residual dose between particles. In further studies, the OSL signal characteristics of river sediments by flow velocity will be identified and the relationship between energy and OSL signal characteristics will be identified in more detail. Moreover, a method of reconstructing the paleo-environment at the time of deposition for existing sediments will be devised. It is expected to provide important information for the frequency of disaster recurrence and prediction of future climate change.