• 제목/요약/키워드: rate-independent model

검색결과 493건 처리시간 0.026초

케이블 화재의 화염전파 해석을 위한 FDS 모델의 격자민감도 평가 (Assessment of Grid Sensitivity in the FDS Field Model to Simulate the Flame Propagation of an Electric Cable Fire)

  • 김성찬;이성혁
    • 한국안전학회지
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    • 제23권4호
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    • pp.30-35
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    • 2008
  • The present study has been conducted to examine the effect of grid resolution on the predicted results for electric cable fire using pyrolysis model in FDS(Fire Dynamics Simulator, version 5). The grid independent test for different grid resolutions has been performed for a PE coating cable and the grid resolution is defined by the non-dimensional characteristic length of fire and mean grid size. The calculated maximum heat release rate and mean flame spread rate were almost constant for higher grid resolution of 20${\sim}$25 and the computing time for the grid resolution takes approximately 20hours to solve flame propagation with pyrolysis model. The geometrical simplification of a electric cable dose not greatly affect on the maximum heat release rate and flame spread rate and the rectangular approximation of cable shape gives acceptable result comparing with the round cable with stepwise grid.

Rate-dependent shearing response of Toyoura sand addressing influence of initial density and confinement: A visco-plastic constitutive approach

  • Mousumi Mukherjee;Siddharth Pathaka
    • Geomechanics and Engineering
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    • 제34권2호
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    • pp.197-208
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    • 2023
  • Rate-dependent mechanical response of sand, subjected to loading of medium to high strain rate range, is of interest for several civilian and military applications. Such rate-dependent response can vary significantly based on the initial density state of the sand, applied confining pressure, considered strain rate range, drainage condition and sand morphology. A numerical study has been carried out employing a recently proposed visco-plastic constitutive model to explore the rate-dependent mechanical behaviour of Toyoura sand under drained triaxial loading condition. The model parameters have been calibrated using the experimental data on Toyoura sand available in published literature. Under strain rates higher than a reference strain rate, the simulation results are found to be in good agreement with the experimentally observed characteristic shearing behaviour of sand, which includes increased shear strength, pronounced post-peak softening and suppressed compression. The rate-dependent response, subjected to intermediate strain rate range, has further been assessed in terms of enhancement of peak shear strength and peak friction angle over varying initial density and confining pressure. The simulation results indicate that the rate-induced strength increase is highest for the dense state and such strength enhancements remain nearly independent of the applied confinement level.

슬립모델을 이용한 변형률의존 유한변형 탄소성재료의 구성방정식 개발 (A Rate-Dependent Elastic Plastic Constitutive Equation in Finite Deformation Based on a Slip Model)

  • 남용윤;김사수;이상갑
    • 한국전산구조공학회:학술대회논문집
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    • 한국전산구조공학회 1994년도 봄 학술발표회 논문집
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    • pp.181-188
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    • 1994
  • Generally, the structural material shows rate dependent behaviors, which require to constitute different strain-stress relations according to strain rates. Conventional rate- independent constitutive equations used in general purpose finite analysis programs are inadequate for dynamic finite strain problems. In this paper, a rate dependent constitutive equation for elastic-plastic material was developed. The plastic stretch rate was modeled based on slip model with dislocation velocity and density so that there is no yielding condition, and no loading conditions. Non-linear hardening rule was also introduced for finite strain. Material constants of present constitutive equation were determined by experimental data of mild steel. The constitutive equation was applied to uniaxile tension. It was appeared that the present constitutive equation well simulates rate dependent behaviors of mild steel.

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난소암 환자에서 반코마이신의 임상약물동태 (Clinical Pharmacokinetics of Vancomycin in Ovarian Cancer Patients)

  • 김양우;최준식;이진환;박재영;최병철;범진필
    • 한국임상약학회지
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    • 제8권1호
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    • pp.13-18
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    • 1998
  • The purpose of this study was to determine pharmacokinetic parameters of vancomycin using the compartment model dependent and compartment model independent analysis in 6 Korean normal volunteers and 8 ovarian cancer patients. Vancomycin was administered 1.0 g bolus by IV infusion over 60 minutes. The elimination rate constant ($\beta$), volume of distribution (Vd), total body clearance (CLt), and area under the plasma level-time curve (AUC) of vancomycin in normal volunteers using the compartment model dependent analysis were $0.150\pm0.030\;hr^{-1},\;32.9\pm2.81\;L/kg,\;5.36\pm0.63\;L/hr,\;and\;186.5\pm20.5\;{\mu}g/ml{\cdot}hr$, respectively. The $\beta$, Vd, CLt, and AUC of vancomycin in ovarian cancer patients using the compartment model dependent analysis were $0.109\;0.008\;hr^{-1},\;41.5\pm3.01\;L/kg,\;4.58\pm0.57\;L/hr\;and\;218.3\pm22.9\;{\mu}g/ml{\cdot}hr$, respectively. There were significant differences (p<0.05,\;p<0.01) in $\beta$, Vd, CLt, and AUC between normal volunteers and ovarian cancer patients. The elimination rate constant (Kel), CLt, and AUC of vancomycin in normal volunteers using the compartment model independent analysis were $0.152\pm0.022\;hr^{-1},\;5.77\pm0.75\;L/hr,\;and\;173.2\pm22.5;{\mu}g/ml{\cdot}hr$, respectively. The Kel, CLt, and AUC of vancomycin in ovarian cancer patients using the compartment model independent analysis were $0.126\pm0.012\;hr^{-1},\;4.96\pm0.55\;L/hr,\;and\;201.7\pm25.6;{\mu}g/ml{\cdot}hr$, respectively. There were significant differences (p<0.05, p<0.01) in Kel, CLt, and AUC between normal volunteers and ovarian cancer patients. And also, there was significant difference (p<0.05) in Kel of vancomycin in ovarian cancer patients between the compartment model dependent and independen analysis. It is necessary for effective dosage regimen of vancomycin in ovarian cancer patient to use these population parameters.

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A Study on the Impact of China's Monetary Policy on South Korea's Exchange Rate

  • He, Yugang
    • 산경연구논집
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    • 제9권6호
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    • pp.15-24
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    • 2018
  • Purpose - The adjustment of one country's monetary policy can cause the macroeconomic change of other countries. Due to this, this paper attempts to analyze the impact of China's monetary policy on South Korea's exchange rate. Research design, data, and methodology - Based on the flexible-price monetary model, sets of annual time series from 1980 to 2017 are employed to perform an empirical estimation. The vector error correction model is also used to exploit the short-run relationship between both of them. Of course, the South Korea's real GDP, the China's real GDP, South Korea's interest rate, the South Korea's interest rate and the South Korea's monetary supply are treated as independent variables in this paper. Result - The long-run findings reveal that the China's money supply has a negative effect on South Korea's exchange rate. Respectively, the short-run findings depicts that the China's money supply has negative a effect on South Korea's exchange rate. Of course, other variables selected in this paper also have an effect on South Korea's exchange rate whatever positive or negative. Conclusions - As the empirical evidence shows, the China's monetary policy has a negative effect on South Korea's exchange rate whenever in the long run or in the short run.

Statistical Extraction of Speech Features Using Independent Component Analysis and Its Application to Speaker Identification

  • Jang, Gil-Jin;Oh, Yung-Hwan
    • The Journal of the Acoustical Society of Korea
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    • 제21권4E호
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    • pp.156-163
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    • 2002
  • We apply independent component analysis (ICA) for extracting an optimal basis to the problem of finding efficient features for representing speech signals of a given speaker The speech segments are assumed to be generated by a linear combination of the basis functions, thus the distribution of speech segments of a speaker is modeled by adapting the basis functions so that each source component is statistically independent. The learned basis functions are oriented and localized in both space and frequency, bearing a resemblance to Gabor wavelets. These features are speaker dependent characteristics and to assess their efficiency we performed speaker identification experiments and compared our results with the conventional Fourier-basis. Our results show that the proposed method is more efficient than the conventional Fourier-based features in that they can obtain a higher speaker identification rate.

Statistical Extraction of Speech Features Using Independent Component Analysis and Its Application to Speaker Identification

  • 장길진;오영환
    • 한국음향학회지
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    • 제21권4호
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    • pp.156-156
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    • 2002
  • We apply independent component analysis (ICA) for extracting an optimal basis to the problem of finding efficient features for representing speech signals of a given speaker The speech segments are assumed to be generated by a linear combination of the basis functions, thus the distribution of speech segments of a speaker is modeled by adapting the basis functions so that each source component is statistically independent. The learned basis functions are oriented and localized in both space and frequency, bearing a resemblance to Gabor wavelets. These features are speaker dependent characteristics and to assess their efficiency we performed speaker identification experiments and compared our results with the conventional Fourier-basis. Our results show that the proposed method is more efficient than the conventional Fourier-based features in that they can obtain a higher speaker identification rate.

풍력발전 설비 효율화를 위한 다변량 분석을 이용한 풍력발전단지 단기 출력 예측 방법 (Short-term Wind Farm Power Forecasting Using Multivariate Analysis to Improve Wind Power Efficiency)

  • 위영민
    • 조명전기설비학회논문지
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    • 제29권7호
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    • pp.54-61
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    • 2015
  • This paper presents short-term wind farm power forecasting method using multivariate analysis and time series. Based on factor analysis, the proposed method makes new independent variables which newly composed by raw independent variables such as wind speed, ramp rate, wind power. Newly created variables are used in the time series model for forecasting wind farm power. To demonstrate the improved accuracy, the proposed method is compared with persistence model commonly used as reference in wind power forecasting using data from Jeju Island. The results of case studies are presented to show the effectiveness of the proposed forecasting method.

이류체노즐을 이용한 분무량과 분무입경 제어시스템 개발 (Development of Control System of Twin-Fluid Nozzles for Controlling Spraying Rate and Droplet Size)

  • 이중용;안형철;정창주
    • Journal of Biosystems Engineering
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    • 제25권1호
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    • pp.11-18
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    • 2000
  • In precision chemical application increment of biological efficacy with less chemical is the virtue. spraying rate and droplet size is closely related to biological efficacy. this study was performed to develope a spray-control-system that could control spraying rate and droplet size independently. Twin-fluid nozzles were selected and tested to certify if the nozzles were suitable for the objective of this study. Characteritics of the nozzles i.e., spraying rte and droplet size change u8nder the changes of spraying pressure and air pressure were statistically modeled. The model had I to 1 matching property between dependent variables and independent variables. Using the property and the model, inverse relationship could be determined between variables. A feedback spray control system was developed and tested with predetermined error of 5 % in pressure. The system showed 4 % error in spraying rate and 9 % error in droplets size. Performance of the system could be upgraded by fine tuning but, in practical sense keeping air pressure in the field sprayer was the bottle neck of commercialization of the spray system.

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Use of big data for estimation of impacts of meteorological variables on environmental radiation dose on Ulleung Island, Republic of Korea

  • Joo, Han Young;Kim, Jae Wook;Jeong, So Yun;Kim, Young Seo;Moon, Joo Hyun
    • Nuclear Engineering and Technology
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    • 제53권12호
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    • pp.4189-4200
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    • 2021
  • In this study, the relationship between the environmental radiation dose rate and meteorological variables was investigated with multiple regression analysis and big data of those variables. The environmental radiation dose rate and 36 different meteorological variables were measured on Ulleung Island, Republic of Korea, from 2011 to 2015. Not all meteorological variables were used in the regression analysis because the different meteorological variables significantly affect the environmental radiation dose rate during different periods, and the degree of influence changes with time. By applying the Pearson correlation analysis and stepwise selection methods to the big dataset, the major meteorological variables influencing the environmental radiation dose rate were identified, which were then used as the independent variables for the regression model. Subsequently, multiple regression models for the monthly datasets and dataset of the entire period were developed.