• Title/Summary/Keyword: 열-구조 모델

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Study on Effect of Anchor Bolt by Thermal Expansion of Sulfur Storage Tank under High Temperature (고온을 받는 유황저장탱크의 열팽창에 의한 앵커볼트 영향에 관한 연구)

  • Jung, Wook-Hwan;Kim, Jeong-Soo;Kim, Tae-Min;Kim, Moon-Kyum
    • Journal of the Computational Structural Engineering Institute of Korea
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    • v.29 no.5
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    • pp.483-490
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    • 2016
  • In plant industry, sulfur storage tank is made of steel and annular plate is connected with concrete foundation of ring wall type by anchor bolt. Due to keep sulfur at high temperature in tank by coil, sulfur storage tank is expanded larger than another tank stores fluid at room temperature. Generally, structural design of tank foundation is performed analysis with loading of temperature gradient between inner and outer surface, this method can't consider the phenomenon that load is intensively transferred to concrete foundation at anchor bolt. This means that temperature load is underestimated and causes crack of concrete near anchor bolt. In this study, evaluation formula considering temperature load transfer mechanism through anchor bolt is proposed and load acting on concrete foundation is rationally decided. For this purpose, it is analyzed variation of thermal load per various anchor bolt number using finite element model including tank annular plate and anchor bolt. Solution is proposed as specified term combining result of analysis and theoretical solution for evaluating load transferred by anchor bolt. For confirmation of validation of proposed formula, it is applied in design of sulfur storage tank at plant site, it shows that the formula can be practically applied.

Two-Dimension Hydraulic Analysis in the Andong-Imha Linked Reservoir System (안동-임하호 연결 시스템의 2차원 수리해석)

  • Lee, Heung-Soo;Park, Hyung-Seok;Chung, Se-Woong
    • Proceedings of the Korea Water Resources Association Conference
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    • 2012.05a
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    • pp.205-205
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    • 2012
  • 국내에서 새로운 댐 저수지 건설을 통한 수자원의 안정적인 확보는 어려운 여건에 있다. 따라서 수자원의 효율적인 확보, 댐 하류하천의 수질 개선, 신규댐 건설 대체 효과를 기대하기 위해 기존 댐 저수지의 연계운영이 중요하게 인식되고 있다. 본 연구에서는 다수의 댐 저수지 수체를 연계하여 모델을 통해 해석하고자 안동-임하호를 연결한 2차원 모델(CE-QUAL-W2)을 구축하고, 2002년과 2006년 수문사상을 재현하였으며, 수리해석을 실시하였다. 안동호의 좌안인 임동면 마리와 임하호의 우안인 망천리를 연결하고, EL. 140 m 위치에 길이 2 km, 직경 5.5 m로 콘크리트 터널을 연결하는 것으로 가정하였다. 관내 바닥 마찰계수와 미소 마찰손실 값은 0.05를 입력하였다. 저수지 실측수위와 모의수위를 시계열로 비교한 결과, 2002년과 2006년 안동호와 임하호에서 여름철 유입량 증가에 따른 수위 상승을 잘 반영하였고, 결정계수값($R^2$)이 모두 0.9953 이상으로 나타나 모델은 두 저수지 물수지 계산에 있어서 높은 신뢰도를 보였다. 2006년을 대상으로 안동호와 임하호의 댐 앞에서 수심별 수온의 실측값과 모의값을 비교한 결과, 안동호는 4월부터 성층이 진행되어 5월에 수온약층이 EL. 130 m에 형성되었다. 7월 홍수가 중층 밀도류를 형성하여 수온 성층구조를 교란하였고, 기존의 수온약층이 EL. 120 m 로 하강하였으며, 표층 EL. 145 m에 새로운 수온약층이 형성되는 2단 성층 구조를 보였다. 여름철 동안 이러한 현상은 지속되었고, 10월부터 대기기온 강하와 함께 수직혼합이 시작되었다. 수온예측 오차는 AME $0.336{\sim}1.806^{\circ}C$, RMSE $0.415{\sim}2.271^{\circ}C$의 범위로 실측값을 잘 반영하는 것으로 나타났다. 임하호도 안동호와 유사한 경향을 보였고, 모델은 두 저수지에서 전 기간에 걸쳐 모두 안정적으로 저수지 수온 성층현상을 모의하였다. 2002년 수문사상에서 안동-임하 연계 운영시 안동호의 평균 수위는 1.38 m 상승하였고, 임하호는 3.75 m 낮아지는 것으로 모의되었다. 수위변동에 따른 유동 유량은 임하호에서 안동호로 3억 6천 4백만 톤, 안동호에서 임하호로 2억 9천 1백만 톤으로 임하호에서 안동호로 유동한 유량이 높게 나타났다. 유역면적에 비해 저수용량이 작은 임하호의 경우 두 저수지간 유량의 이동에 따라서 저수용량의 증가로 인한 홍수 저감 효과가 있을 것으로 판단된다. 반면, 안동-임하 연계 운영시 임하호의 차가운 물이 안동호로 유입되는 경우, 안동호의 수온 성층구조에 영향을 주었다. 안동호의 경우는 단독운영시보다 높은 위치에 수온약층(EL. 140 m)이 형성되었으며, 임하호는 반대로 저수위가 낮아지면서 단독운영시보다 수온약층의 위치가 약간 낮아졌다. 이러한 결과는 두 저수지 연결시 안동호의 탁수와 수질 환경에 변화가 있을 수 있음을 시사한다.

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Comparative Behavior Analysis in Love Model with Same and Different Time Delay (동일 시간 지연과 서로 다른 시간 지연을 갖는 사랑모델에서의 비교 거동 해석)

  • Huang, Linyun;Ba, Young-Chul
    • Journal of the Korean Institute of Intelligent Systems
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    • v.25 no.3
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    • pp.210-216
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    • 2015
  • It is well known that the structure of brain and consciousness of human have a phenomena of complex system. The human emotion have a many kind. The love is one of human emotion, which have been studied in sociology and psychology as a matter of great interested thing. In this paper, we consider a same and different time delay in love equation of Romeo and Juliet. We represent a behavior of love as a time series and phase portrait, and analyze the difference of behaviors between a same and different time delay.

Structural Equation Modeling of Job Engagement in Pediatric Nurses Based on the Job Crafting Model (잡 크래프팅 모델에 근거한 아동간호사의 직무열의 구조모형)

  • Kang, Jung Mi;Cho, Hun Ha
    • Child Health Nursing Research
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    • v.26 no.2
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    • pp.201-211
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    • 2020
  • Purpose: The goal of this study was to construct a structural equation model of job engagement in pediatric nurses based on Tims and Bakker's job crafting model. Methods: In total, 203 pediatric nurses participated in this study, which was conducted to analyze the relationships among the concepts of job demands, job resources, person-job fit, job crafting and job engagement. Data were collected from July 24 to August 30, 2017, and analyzed using SPSS 20.0 and AMOS 21.0. Results: The hypothetical model appeared to fit the data. Six of the nine hypotheses selected for the hypothetical model were statistically significant. The job engagement model showed significant direct effects for job crafting, person-job fit and job resources, which collectively explained 61.5% of the variation in pediatric nurses' job engagement. Conclusion: Based on the findings of this study, a strategy will be needed to improve job resources and person-job fit in order to promote job engagement among pediatric nurses. Job crafting was affected by the factors of job resources and person-job fit, which should be addressed in job crafting promotion programs.

Development of Real-Fluid Package Compatible with Chemkin for High-Pressure Kerosene/LOx Combustion (케로신/액체산소의 고압 연소해석을 위한 열역학/전달 물성치 해석 패키지 개발)

  • Kim, Seong-Ku;Choi, Hwan-Seok
    • Proceedings of the Korean Society of Propulsion Engineers Conference
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    • 2011.04a
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    • pp.89-92
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    • 2011
  • The modeling of thermodynamic non-idealities and transport anomalies is a crucial prerequisite to realistically simulate the mixing and combustion processes of liquid propellants injected above critical pressures. This study has developed a specific set of subroutines to calculate the thermodynamic and transport properties based on the generalized cubic equation of state (EoS) in a coupled manner with the standard chemical kinetics packages (Chemkin). The existing flamelet analysis code is extended with the real-fluid package and applied to numerical investigation of local flame structures of kerosene and liquid oxygen at high pressure conditions relevant to the actual rocket engines.

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URANS Computations for Flow Mixing of Heated Dual Jets (URANS를 이용한 가열된 이중제트의 유동혼합 특성에 대한 수치해석)

  • Park, Tae Seon
    • Journal of the Korean Society of Propulsion Engineers
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    • v.23 no.3
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    • pp.18-27
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    • 2019
  • The flow mixing characteristics for the heated dual jets were numerically studied by using URANS (unsteady Reynolds-averaged Navier-Stokes). The increased turbulent diffusion was obtained for the compressible flow, and the thermal diffusion of incompressible flow increased more than that of compressible flow. From the results of FFT and phase portraits, periodic and quasi-periodic states were observed as the jet spacing increased. It was observed that linear variations of merging points and combined points were different because unsteady flow determined the flow mixing characteristics for a large jet spacing.

Image Fusion Framework for Enhancing Spatial Resolution of Satellite Image using Structure-Texture Decomposition (구조-텍스처 분할을 이용한 위성영상 융합 프레임워크)

  • Yoo, Daehoon
    • Journal of the Korea Computer Graphics Society
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    • v.25 no.3
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    • pp.21-29
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    • 2019
  • This paper proposes a novel framework for image fusion of satellite imagery to enhance spatial resolution of the image via structure-texture decomposition. The resolution of the satellite imagery depends on the sensors, for example, panchromatic images have high spatial resolution but only a single gray band whereas multi-spectral images have low spatial resolution but multiple bands. To enhance the spatial resolution of low-resolution images, such as multi-spectral or infrared images, the proposed framework combines the structures from the low-resolution image and the textures from the high-resolution image. To improve the spatial quality of structural edges, the structure image from the low-resolution image is guided filtered with the structure image from the high-resolution image as the guidance image. The combination step is performed by pixel-wise addition of the filtered structure image and the texture image. Quantitative and qualitative evaluation demonstrate the proposed method preserves spectral and spatial fidelity of input images.

Estimation Model for Freight of Container Ships using Deep Learning Method (딥러닝 기법을 활용한 컨테이너선 운임 예측 모델)

  • Kim, Donggyun;Choi, Jung-Suk
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.27 no.5
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    • pp.574-583
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    • 2021
  • Predicting shipping markets is an important issue. Such predictions form the basis for decisions on investment methods, fleet formation methods, freight rates, etc., which greatly affect the profits and survival of a company. To this end, in this study, we propose a shipping freight rate prediction model for container ships using gated recurrent units (GRUs) and long short-term memory structure. The target of our freight rate prediction is the China Container Freight Index (CCFI), and CCFI data from March 2003 to May 2020 were used for training. The CCFI after June 2020 was first predicted according to each model and then compared and analyzed with the actual CCFI. For the experimental model, a total of six models were designed according to the hyperparameter settings. Additionally, the ARIMA model was included in the experiment for performance comparison with the traditional analysis method. The optimal model was selected based on two evaluation methods. The first evaluation method selects the model with the smallest average value of the root mean square error (RMSE) obtained by repeating each model 10 times. The second method selects the model with the lowest RMSE in all experiments. The experimental results revealed not only the improved accuracy of the deep learning model compared to the traditional time series prediction model, ARIMA, but also the contribution in enhancing the risk management ability of freight fluctuations through deep learning models. On the contrary, in the event of sudden changes in freight owing to the effects of external factors such as the Covid-19 pandemic, the accuracy of the forecasting model reduced. The GRU1 model recorded the lowest RMSE (69.55, 49.35) in both evaluation methods, and it was selected as the optimal model.

A Suggestion of the Hydrogen Flame Speed Correlation under Severe Accidents (중대사고시 수소연소에 의한 화염속도 상관식 제시)

  • Kang, Chang-Woo;Chung, Chang-Hyun
    • Nuclear Engineering and Technology
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    • v.26 no.1
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    • pp.1-8
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    • 1994
  • The flame speed correlation considering thermal-hydraulic phenomena under severe accidents is proposed and correction coefficients are defined. This correlation modifies the pressure dependency in Iijima-Takeno correlation and adds the steam suppression effects to it in the anticipated hydrogen and steam concentration ranges under severe accidents. The existing models of flame speed due to hydrogen combustion under severe accidents are based on the experiments which were performed merely at room temperature and atmospheric pressure. They have difficulty in predicting a accurate flame speed in a case of high temperature and pressure during severe accidents. Thus the flame structure is assumed as a prerequisite to the reliable determination of flame speed and theoretical model is developed. To examine the validity, flame speeds in various conditions calculated by this model are compared with those obtained by the calculation of the existing correlations of the codes such as improved HECTR and MAAP. Also the steam suppression ratio is quantified and the steam suppression coefficient is defined as a composition of mixture. Initial temperature and pressure dependencies are investigated and correction coefficents are determined. More experimental studies can be recommended to improve this correlation to its further works.

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Characteristics of the Simulated ENSO in CGCM (대기-해양 접합 모델에서 모사한 ENSO의 특징)

  • Moon, Byung-Kwon
    • Journal of the Korean earth science society
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    • v.28 no.3
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    • pp.343-356
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    • 2007
  • This paper explored the characteristics of the interannual sea surface temperature (SST) variability in the equatorial Pacific by analyzing the simulated data from a newly coupled general circulation model (CGCM). The CGCM simulates well the realistic ENSO variability as well as the mean climatologies including SST, seasonal cycle, precipitation, and subsurface structures. It is argued that the zonal gradient of SST in the equatorial Pacific is responsible for the over-energetic SST variability near the equatorial western boundary in the model. This variability could also be related to the strong westward propagation of SST anomalies which resulted from the enhanced the zonal advection feedback. The simple two-strip model supports this by sensitivity tests. Analysis of the relationship between zonal mean thermocline depth and NINO3 SST index suggested that the ENSO variability is controlled by the recharge-discharge oscillator of the model. The lead-lag regression result reveals that heat buildup process in the western equatorial Pacific associated with the increase of the barrier layer thickness (BLT) is a precedent condition for El $Ni\widetilde{n}o$ to develop.