• Title/Summary/Keyword: 입자추적실험

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Tracing the Drift Ice Using the Particle Tracking Method in the Arctic Ocean (북극해에서 입자추적 방법을 이용한 유빙 추적 연구)

  • Park, GwangSeob;Kim, Hyun-Cheol;Lee, Taehee;Son, Young Baek
    • Korean Journal of Remote Sensing
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    • v.34 no.6_2
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    • pp.1299-1310
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    • 2018
  • In this study, we analyzed distribution and movement trends using in-situ observations and particle tracking methods to understand the movement of the drift ice in the Arctic Ocean. The in-situ movement data of the drift ice in the Arctic Ocean used ITP (Ice-Tethered Profiler) provided by NOAA (National Oceanic and Atmospheric Administration) from 2009 to 2018, which was analyzed with the location and speed for each year. Particle tracking simulates the movement of the drift ice using daily current and wind data provided by HYCOM (Hybrid Coordinate Ocean Model) and ECMWF (European Centre for Medium-Range Weather Forecasts, 2009-2017). In order to simulate the movement of the drift ice throughout the Arctic Ocean, ITP data, a field observation data, were used as input to calculate the relationship between the current and wind and follow up the Lagrangian particle tracking. Particle tracking simulations were conducted with two experiments taking into account the effects of current and the combined effects of current and wind, most of which were reproduced in the same way as in-situ observations, given the effects of currents and winds. The movement of the drift ice in the Arctic Ocean was reproduced using a wind-imposed equation, which analyzed the movement of the drift ice in a particular year. In 2010, the Arctic Ocean Index (AOI) was a negative year, with particles clearly moving along the Beaufort Gyre, resulting in relatively large movements in Beaufort Sea. On the other hand, in 2017 AOI was a positive year, with most particles not affected by Gyre, resulting in relatively low speed and distance. Around the pole, the speed of the drift ice is lower in 2017 than 2010. From seasonal characteristics in 2010 and 2017, the movement of the drift ice increase in winter 2010 (0.22 m/s) and decrease to spring 2010 (0.16 m/s). In the case of 2017, the movement is increased in summer (0.22 m/s) and decreased to spring time (0.13 m/s). As a result, the particle tracking method will be appropriate to understand long-term drift ice movement trends by linking them with satellite data in place of limited field observations.

Laboratory experiment of evolution of rip current according to the duration of successive ends of breaking wave crests (연속 쇄파선 끝단 지속시간에 따른 이안류 발달 수리실험 연구)

  • Choi, Junwoo
    • Journal of Korea Water Resources Association
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    • v.54 no.1
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    • pp.39-48
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    • 2021
  • The experiment of rip current at successive ends of breaking wave crests was conducted in a laboratory wave basin, and its time-varying evolution according to incident wave durations was observed by using ortho-rectified images. The experiment utilized the generation of a quasi nodal line of the honeycomb-pattern waves (i.e., intersecting wave trains) formed by out-of-phase motion of two piston-type wave makers arranged in the transverse direction, instead of the original honeycomb pattern waves which are generated when two wave trains propagate with slightly different wave directions. The particle moving distance and velocity caused by the rip current were measured by using the particle tracking technique. As a result, the rip current was survived for a while even without incident waves after its generation due to several successive ends of wave crests, and it moved the particles further out to sea.

Maximum Power Point Tracking of Photovoltaic using Improved Particle Swarm Optimization Algorithm (개선된 입자 무리 최적화 알고리즘 이용한 태양광 패널의 최대 전력점 추적)

  • Kim, Jae-Jung;Kim, Chang-Bok
    • Journal of Advanced Navigation Technology
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    • v.24 no.4
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    • pp.291-298
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    • 2020
  • This study proposed a model that can track MPP faster than the existing MPPT algorithm using the particle swarm optimization algorithm (PSO). The proposed model highly sets the acceleration constants of gbest and pbest in the PSO algorithm to quickly track the MPP point and eliminates the power instability problem. In addition, this algorithm was re-executed by detecting the change in power of the solar panel according to the rapid change in solar radiation. As a result of the experiment, MPP time was 0.03 seconds and power was 131.65 for 691.5 W/m2, and MPP was tracked at higher power and speed than the existing P&O and INC algorithms. The proposed model can be applied when a change in the amount of power is detected by partial shading in a Photovoltaic power plant with Photovoltaic connected in parallel. In order to improve the MPPT algorithm, this study needs a comparative study on optimization algorithms such as moth flame optimization (MFO) and whale optimization algorithm (WOA).

Numerical Simulation on Particle Dispersion in Axisymmetric Sudden-Expansion by Tracer Method (입자추적법에 의한 축대칭 급확대부의 입자확산현상 수치해석)

  • Park, Ounyoung;Yang, Hee Sung;Yim, Chung Sik
    • Proceedings of the Korean Society of Propulsion Engineers Conference
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    • 2017.05a
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    • pp.766-774
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    • 2017
  • Software has been developed for simulating particle dispersion in a circular pipe with sudden-expansion, which models the fuel feeding system of a combustor that uses metal powder like aluminum as fuel. The Lagrangian based discrete tracer point method was employed for a plug flow of particles that satisfies local turbulent velocity fluctuations. A radial velocity component was created to improve the flow turning outwards in the recirculation zone. The particle distribution patterns from both with and without the component were directly compared with the experiments near the reattachment.

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A Study of Distribution of Jellyfish by Particle Numerical Experiment in Masan Bay (마산만에서 입자수치실험에 의한 해파리 분포연구)

  • Choi, Min-Ho;Ryu, Tai-Gwan;Kim, Dong-Sun
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.22 no.4
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    • pp.335-343
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    • 2016
  • The spatio-temporal distribution of jellyfish in Masan Bay was investigated in this study using a numerical model. First, a three-dimensional hydrodynamic model (POM) was constructed,taking into account residual flows, tides, temperature, salinity, and wind effects. A particle tracking model based on residual flow was then used to investigate the jellyfish present in Masan Port, referred to as the Heavy Industry and Gapo New Port in Masan. Jellyfish distribution was concentrated with maximum (2,533 individual) in the North Sea near Machang Bridge. Itcan be concluded that this concentration was due to multi-directional residual flows and topography effects. Residual flow currents are a dominant factor in understanding the aggregation of jellyfish, and this study used a numerical simulation of tide-induced residual currents, wind-driven currents and density currents in distinct cases to thoroughly address the topic. As a result, wind-driven currents (effect of the wind) was found to be superior to other components as an influence on the distribution of jellyfish near Machang Bridge and Modo in Masan Bay.

Validation Experiments for a Holographic Particle Velocimetry System (펄스 홀로그래프를 이용한 입자 속도 측정 시스템의 검증 실험)

  • Oh, Dai-Jin;Choo, Yeon-Jun;Kang, Bo-Seon
    • Proceedings of the KSME Conference
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    • 2001.06e
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    • pp.714-719
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    • 2001
  • The Holographic Particle Velocimetry system can be a promising optical tool for the measurements of three dimensional particle velocities. In this research, the optical system for double pulse holographic recording and reconstruction of particle images was developed. Validation experiments for the developed system were conducted measuring the velocities of glass beads on a rotating disk. Uncertainty analysis was performed to identify the sources of all relevant errors and to evaluate their magnitude. The measurement results of distance between glass beads, size, and velocities of them using holographic method compared reasonalbly well with the known values within acceptable range of errors.

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Effect of Particle Loading Ratio on Fluid Characteristics and Particle Distribution in Particle-laden Coaxial Jet (입자부상 동축 분사기에서 입자로딩비가 유동 특성과 입자분포에 미치는 영향에 대한 연구)

  • Yoon, Jungsoo;Yoon, Youngbin
    • Journal of the Korean Society of Propulsion Engineers
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    • v.19 no.3
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    • pp.9-19
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    • 2015
  • Experimental research on characteristics of particle-laden jet by using a coaxial injector was conducted in order to design fuel and oxidizer injectors of the supercavitation underwater vehicle. $1{\mu}m$ and $42{\mu}m$ particles was simultaneously injected to obtain particle and fluid velocity. Small particles($1{\mu}m$) and large particles represent fluid and fuel characteristics respectively. Small particles, which was processed using PIV algorithms, and one for the large particles processed using PTV algorithms. Fluid phase axial velocity increases according to particle loading ratio increases, and particles are located at the outside of the high vorticity region in a mixing layer of a coaxial injector.

천안호 침몰해역의 해상조건 분석

  • Lee, Jung-U;Kim, Gyu-Gwang;Kim, Gang-Min;Gwon, So-Hyeon;Lee, Hyeong-Ha
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2010.04a
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    • pp.227-230
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    • 2010
  • 2010년 3월 26일 21시 45분경, 백령도 서남쪽 1.6km(1마일)해상에서 대한민국 해군의 초계함 천안함이 원인 미상의 사고로 침몰한 사건이 발생하였다. 이에 연안공학자의 입장에서는 수색 및 구조에 필요한 기초자료인 해상조건들을 제공하고 시뮬레이션을 통한 보다 자세한 예측 및 유추가능한 자료를 제공한다는 것은 뜻깊은 일임에 틀림없다. 이에 본 연구에서는 백령도-대청도 부근해역의 기상, 파랑, 조석 및 조류, 저질, 부유사 상태등을 조사 분석하고 이를 기초로 해역특성을 분석하였다. 사건당시의 유속상황은 소조기(neap tide)-중조기 (mean tide) 사이에 해당하며 3월 26일이 지나고 4월 3~4일까지는 유속이 가장 강한 대조기 (spring tide)가 진행되는 시점으로 수색 및 구조작업에 에로사항이 있는것으로 파악되었다. 또한, 21:00-22:00 경은 낙조가 진행 중에 있기 때문에 물질이동은 남동쪽이 우세할 것으로 보이며 특히, 불규칙한 해저지형으로 인하여 급격한 와류 등이 존재할 것으로 판단되어 입자추적실험을 수행하였다. 수행 결과, 입자는 유속상황에 따라서, 초기에는 남동쪽으로 이동하지만 장기 예측결과, 외해쪽으로 흘러가는 것으로 나타났다. 이를 통하여 추후, 수색작업의 범위를 외해쪽으로 확대시켜야 할 것으로 사료된다.

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Characteristics of the Behavior of Floating Debris in the Nakdong River Estuary using a Simple Numerical Particle Model (입자수치모의를 통한 낙동강 하구 부유(해안)쓰레기 거동특성)

  • Yoo, Chang-Ill;Yoon, Han-Sam;Kim, Gyou-Tae
    • Proceedings of KOSOMES biannual meeting
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    • 2007.11a
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    • pp.23-28
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    • 2007
  • This study estimated the behavior(movement) characteristics of floating marine debris flowing in the Nakdong River Estuary using a simple numerical particle-tracking model. This numerical experiment considered the maximum water discharge outflow from the Nakdong River barrage during the passage of typhoon Maemi in 2003. The simulation showed that the particle distribution and movement of floating marine debris in the Nakdong River Estuary reached a stable state at 72 hours after the typhoon had passed, during the flαxl period of river discharge. The quantity of floating particles distributed on the east coast of Gadeok and Jinu Islands increased by 40% at 33 hours after starting the model, while the change in other sea areas was $20{\sim}40%$.

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Modelling Algae Transport in Coastal Areas with Marine Afforestation (바다숲 조성해역의 해조류 포자 확산모델링)

  • Cho, Jae-Kweon;Lim, Young-Soo;Hong, Do-Ung;Kim, Jong-Kyu
    • Journal of the Korean Society for Marine Environment & Energy
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    • v.15 no.1
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    • pp.1-8
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    • 2012
  • To arrange effectively artificial reefs for marine afforestation, tidal currents were analyzed by numerical experiments, and particle tracking based upon tidal currents were carried out to clarify the path of algae spore. The experiments were carried out by EFDC (Environmental Fluid Dynamics Code), and water column was vertically divided 10 layers. Tidal current patterns showed to be affected by main current at outside of study area, and circle currents of two were observed from analysis of residual currents. Particle tracking were experimented for 15 days at 2 installation places in which artificial reefs for marine afforestation would be deployed. According to the results of particle tracking experiment, particle movement at St.1 showed belt type along coastal line, and St.2 showed ellipse type at 300~500 m distant from coastal line. It suggest that artificial reefs for marine afforestation should be installed belt zone at station of St.1 and ellipse zone at St.2. Modelling algae transport was also tested to account for local dispersion of algae spore due to the suspended materials.