• Title/Summary/Keyword: numerical predictions

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Numerical Analysis on Letdown System Performance Test for YGN 3

  • Seo, Ho-Taek;Sohn, Suk-Whun;Seo, Jong-Tae;Boo, Jung-Sook
    • Nuclear Engineering and Technology
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    • v.29 no.2
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    • pp.158-166
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    • 1997
  • Integrated performance test of Chemical and Volume Control System was successfully performed in 1994. However, an extensive effort to correct hardware and software problems in the letdown line was required mainly due to the lack of adequate simulation code to predict the test accurately. Although the LTC computer code was used during the YGN 3'||'&'||'4 NSSS design process, the code can not satisfactorily predict the test due to it insufficient letdown line modeling. This study developed a numerical model to simulate the letdown test by modifying the current LTC code, and then verified the model by comparing with the test data. The comparison shows that the modified LTC computer code can predict the transient behavior of letdown system lese very well. Especially, the model was verified to be able to predict the "Stiction (composition of stick and friction)" phenomena which caused instantaneous fluctuations in the letdown backpressure and flowrate. Therefore, it is concluded that the modified LTC computer code with the ability of calculating the "Stiction" phenomena will be very useful for future plant design and test predictions.predictions.

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A numerical study of the turbulent fluctuating flow around a square cylinder for different inlet shear

  • Islam, A.K.M. Sadrul;Hasan, R.G.M.
    • Wind and Structures
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    • v.5 no.1
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    • pp.15-24
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    • 2002
  • This paper reports the numerical calculations of uniform turbulent shear flow around a square cylinder. The predictions are obtained by solving the two-dimensional unsteady Navier-Stokes equations in a finite volume technique. The turbulent fluctuations are simulated by the standard $k-{\varepsilon}$ model and one of its variant which takes care of the realizability constraint in order to suppress the excessive generation of turbulence in a stagnation condition. It has been found that the Strouhal number and the mean drag coefficient are almost unaffected by the shear parameter but the mean lift coefficient is increased. The present predictions are compared with available experimental data.

Structural behaviors of sustainable hybrid columns under compression and flexure

  • Wu, Xiang-Guo;Hu, Qiong;Zou, Ruofei;Zhao, Xinyu;Yu, Qun
    • Structural Engineering and Mechanics
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    • v.52 no.5
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    • pp.857-873
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    • 2014
  • Structural behaviors of a sustainable hybrid column with the ultra high performance cementitious composites (UHPCC) permanent form under compression and flexure were studied. Critical state and failure stage characters are analyzed for large and small eccentricity cases. A simplified theoretical model is proposed for engineering designs and unified formulas for loading capacity of the hybrid column under compression and flexure loads are derived, including axial force and moment. Non-linear numerical analysis is carried out to verify the theoretical predictions. The theoretical predictions agree well with the numerical results which are verified by the short hybrid column tests recursively. Compared with the traditional reinforced concrete (RC) column, the loading capacity of the sustainable hybrid column is improved significantly due to UHPCC confinements.

Improving Wind Speed Forecasts Using Deep Neural Network

  • Hong, Seokmin;Ku, SungKwan
    • International Journal of Advanced Culture Technology
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    • v.7 no.4
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    • pp.327-333
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    • 2019
  • Wind speed data constitute important weather information for aircrafts flying at low altitudes, such as drones. Currently, the accuracy of low altitude wind predictions is much lower than that of high-altitude wind predictions. Deep neural networks are proposed in this study as a method to improve wind speed forecast information. Deep neural networks mimic the learning process of the interactions among neurons in the brain, and it is used in various fields, such as recognition of image, sound, and texts, image and natural language processing, and pattern recognition in time-series. In this study, the deep neural network model is constructed using the wind prediction values generated by the numerical model as an input to improve the wind speed forecasts. Using the ground wind speed forecast data collected at the Boseong Meteorological Observation Tower, wind speed forecast values obtained by the numerical model are compared with those obtained by the model proposed in this study for the verification of the validity and compatibility of the proposed model.

Transformation of Irregular Waves Propagating through Slit Caisson (슬릿 케이슨을 통과하는 불규칙파의 변형)

  • Min, Hyun-Seong;Cho, Yong-Sik
    • 한국방재학회:학술대회논문집
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    • 2007.02a
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    • pp.159-162
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    • 2007
  • The numerical efforts are presented for investigation of irregular waves passing a slit cassion and a warock block breakwater. In the numerical model, the Reynolds equations are solved by a finite difference method and $k-\varepsilon$ model is employed for the turbulence analysis. To track the free surface displacement, the volume of fluid method(VOF) is employed. Numerical predictions of reflection and transmission coefficients are compared with those of the warock block breakwater with the slit caisson. Energy dissipation and seawater exchange rates of the slit caisson are better than those of the warock block breakwater.

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Numerical Analysis of Reinforce Concrete Structures Using Axial Deformation Link Elements (축방향 변형 요소를 이용한 RC 부재의 해석적 연구)

  • 신승교;허우영;임윤묵;김문겸
    • Proceedings of the Korea Concrete Institute Conference
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    • 1999.10a
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    • pp.475-478
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    • 1999
  • A numerical tool for predicting the behavior of reinforced concrete structures under uniaxial loads is proposed. Concrete is considered as quasi-brittle material, and for a reinforcing bar, an elastic-perfectly plastic constitutive relationship is adopted. In this study, the behavior of reinforced concrete according to the interface properties between the concrete and steel is analyzed. Comparisons between the numerical predictions and the experimental results show good agreements in the load-deflection behaviors and ultimate loads of reinforced concrete structures.

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Experimental and Numerical Study of Aerosol Coagulation by Gravitation (에어로졸 입자의 중력응집에 관한 실험 및 수치적 연구)

  • 권순박;이규원
    • Journal of Korean Society for Atmospheric Environment
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    • v.16 no.1
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    • pp.1-10
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    • 2000
  • The behavior of aerosos due to gravitational coagulation was studied experimentally and numerically. In experimental study, the geometric mean particel size increased as time elapsed in a vertical tube column, while the size decreased when the tube was set horizontally. The particle size distribution was observed to maintain the lognormal form during the coagulation process. Separately, numerical calculations were performed for studying the aerosol behavior under gravitational and Brownian coagulation using the moment method. By comparing the expeimented results with the numerical predictions, the governing mechanism of the aerosol behavior proved to be gravitational coagulation.

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A Numerical Model of Thermoacoustic Refrigerators (열음향냉동기의 수치적 모델)

  • 채왕병;정은수
    • Korean Journal of Air-Conditioning and Refrigeration Engineering
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    • v.8 no.1
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    • pp.110-119
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    • 1996
  • A numerical of thermoacoustic refrigerators has been developed. Effects of heat transfer and viscosity on pressure and velocity distributions in resonators and heat exchangers were considered. Predictions of cooling capacity and COP agreed well with previous experimental results. Effects of important design parameters, such as pressure ratio, spacing between the plates in the stack and stack length, on the performance of thermoacoustic refrigerators were shown.

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A PRELIMINARY STUDY FOR THE COUPLED ATMOSPHERS-STREAMFLOW MODELING IN KOREA

  • Bae, Deg-Hyo;Chung, Jun-Seok;Kwon, Won-Tae
    • Water Engineering Research
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    • v.1 no.1
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    • pp.25-37
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    • 2000
  • This study presents some results of a preliminary study for the coupled precipitation and river flow prediction system. The model system in based on three numerical models, Mesoscale Atmospheric Simulation model for generating atmospheric variables. Soil-Plant-Snow model for computing interactions within soil-canopy-snow system as well as the energy and water exchange between the atmosphere and underlying surfaces, and TOPMODEL for simulating stream flow, subsurface flow, and water tabled depth in an watershed. The selected study area is the 2,703 $\alpha_4$ $\km_2$ Soyang River basin with outlet at Soyang dam site. In addition to providing the results of rainfall and stream flow predictions, some results of DEM and GIS application are presented. It is obvious that the accurate river flow predictions are highly dependant on the accurate predictation predictions.

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A simplified procedure to incorporate soil non-linearity in missile penetration problems

  • Siddiqui, N.A.;Kumar, S.;Khan, M.A.;Abbas, H.
    • Structural Engineering and Mechanics
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    • v.23 no.3
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    • pp.249-262
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    • 2006
  • In this paper, a simplified mathematical procedure is presented to incorporate nonlinearity in soil material to predict the deceleration time history, penetration depth and other relevant parameters for normal impact of missiles into soil targets. Numerical method is employed for these predictions. The results of the study are compared with experimental observations and predictions available in the literature. A good agreement is found with experimental observations and an improvement is observed with existing predictions. A comparison is also made with linear soil model. Some parametric studies are also carried out to obtain the results of practical interest.