• Journal of the Computational Structural Engineering Institute of Korea
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• v.14 no.2
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• pp.225-235
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• 2001

본 연구는 물리·역학적 특성을 고려한 점탄성 감쇠기의 수치모델에 의한 강뼈대구조물의 지진응답개선에 관해서 조사하고자 한다. 온도변화에 의한 감쇠기 이력거동에 미치는 영향을 고려하기 위하여, 점탄성 감쇠기의 모델은 온도-주기 등가원리와 더불어 개선된 분수도함수법에 기초하여 정식화하였다. 본 감쇠기 모델의 알고리즘을 일반화된 강뼈대구조물의 비선형 동적 해석 프로그램에 추가하였다. 강뼈대구조물에 대한 해석 예를 통하여, 제시된 모델에 의한 점탄성 감쇠기의 지진응답개선에 관한 효과를 확인할 수 있었다.

• Journal of Korean Society of Coastal and Ocean Engineers
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• v.6 no.1
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• pp.40-50
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• 1994

For an accurate prediction of the temperature field induced by heated water discharged into a shallow crossflow, a two-dimensional near-field numerical model is developed. It is based on a 4-equation turbulence model in which the transport equations for mean of the temperature fluctuation squared and its dissipation rate are added to those of a 2-equation turbulence model which cannot give the information of the thermal time scale ratio. Vertical diffusion is also considered by including buoyancy production and turbulence heat flux terms. The developed model is applied to a steady flow in an open channel with simple geometry and the results are compared with existing experimental data and those of the already established 2-equation turbulence model. Numerical results of the model agree with the experimental data better than those of the 2-equation model. The present model also simulates quite adequately the physical characteristics of thermal discharge in the jet entrainment and stable regions.

• Proceedings of the Korean Society for Agricultural Machinery Conference
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• 1999.12a
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• pp.523-530
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• 1999

연속살균장치는 $130^{\circ}C$에서 $140^{\circ}C$의 초고온에서 연속적으로 식품을 열처리 하는 공정으로 재래 배치식 공정에 비하여 순간적인 짧은 시간이 소요되는 경제적인 공정이나, 액상과 고상으로 구성된 저산도 식품은 고상입자의 대류열전달 계수와 장치내 체류시간이 정확히 구명되지 않아서 연속살균기술이 성공적으로 적용되지 못하고 있다. 본 연구에서 연속살균장치에서의 액상식품과 고상식품사이의 대류열전달 계수를 예측하기 위하여 연속살균장치의 Hold tube에서 정육면체 모델 식품내부의 온도를 측정할 수 있는 장치를 개발하였다. 연속살균장치의 홀드튜브에서 정육면체 모델 식품의 온도변화를 예측할 수 있는 유한차분법을 이용한 시뮬레이션 모델을 개발하고 소고기를 대상으로 이 시뮬레이션 모델의 입력변수인 비열, 열전도도를 실험적으로 측정하여 사용하였다. 0.0에서 15.0 centipoise의 점도를 가지는 모델 액상식품의 15.6에서 45.2liter/min 의 유속에 대하여 액상과 소고기 정육면체의 대류열전달계수는 792에서 2107W/$m^2$K으로 예측되었다.

• Journal of Korean Society of Forest Science
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• v.97 no.6
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• pp.576-581
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• 2008

The germination responses of Fraxinus rhynchophylla seeds collected from four provenances to constant temperature were investigated over the range $5{\sim}35^{\circ}C$. Difference among seeds in percentage and rate of germination and cardinal temperatures was observed. The seeds from Inje had high germination percentage at low temperature ($5{\sim}15^{\circ}C$) whereas those from Gangneung had high germination percentage at high temperature ($30{\sim}35^{\circ}C$). Three cardinal temperatures viz., the base ($T_b$), the maximum ($T_m$) and the optimum ($T_o$) for germination percentage and germination rate varied among four provenances. $T_b$, $T_m$ and $T_o$ for F. rhynchophylla seed germination as estimated by the quadratic models were the lowest in Inje while those were the highest in Gangneung. The cardinal temperatures ($T_b$, $T_m$ and $T_o$) were estimated by linear sub- and supra-optimal models for germination rate as a function of temperature response. $T_b$ was the lowest in Hoengseong while that was the highest in Gangneung. $T_m$ and $T_o$ were the lowest in Inje while those were also the highest in Gangneung. That is, the seeds from the provenance where the annual mean temperature was high had the higher cardinal temperatures ($T_b$, $T_m$ and $T_o$) as compared to seeds from the provenance where the annual mean temperature was low.

• The Sea:JOURNAL OF THE KOREAN SOCIETY OF OCEANOGRAPHY
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• v.29 no.2
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• pp.101-115
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• 2024

The ocean heatwave is emerging as a major issue due to global warming, posing a direct threat to marine ecosystems and humanity through decreased food resources and reduced carbon absorption capacity of the oceans. Consequently, the prediction of ocean heatwaves in the vicinity of the Korean Peninsula is becoming increasingly important for marine environmental monitoring and management. In this study, an LSTM model was developed to improve the underestimated prediction of ocean heatwaves caused by the coarse vertical grid system of the Korean Peninsula Ocean Prediction System. Based on the results of ocean heatwave predictions for the Korean Peninsula conducted in 2023, as well as those generated by the LSTM model, the performance of heatwave predictions in the East Sea, Yellow Sea, and South Sea areas surrounding the Korean Peninsula was evaluated. The LSTM model developed in this study significantly improved the prediction performance of sea surface temperatures during periods of temperature increase in all three regions. However, its effectiveness in improving prediction performance during periods of temperature decrease or before temperature rise initiation was limited. This demonstrates the potential of the LSTM model to address the underestimated prediction of ocean heatwaves caused by the coarse vertical grid system during periods of enhanced stratification. It is anticipated that the utility of data-driven artificial intelligence models will expand in the future to improve the prediction performance of dynamical models or even replace them.

• Korean journal of applied entomology
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• v.52 no.2
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• pp.133-140
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• 2013

The developmental times of the immature stages of Sogatella furcifera (Horvath) were investigated at ten constant temperatures (12.5, 15, 17.5, 20, 22.5, 25, 27.5, 30, 32.5, $35{\pm}1^{\circ}C$), 20~30% RH, and a photoperiod of 14:10 (L:D) h. Eggs were successfully developed on each tested temperature regimes except $12.5^{\circ}C$ and its developmental time was longest at $15^{\circ}C$ (22.5 days) and shortest at $32.5^{\circ}C$ (5.5 days). Nymphs successfully developed to the adult stage from $15^{\circ}C$ to $32.5^{\circ}C$ temperature regimes. Developmental time was longest at $15^{\circ}C$ (51.9 days) and it was decreased with increasing temperature up to $32.5^{\circ}C$ (9.0 days). The relationships between developmental rate and temperature were fitted by a linear model and seven nonlinear models (Analytis, Briere 1, 2, Lactin 2, Logan 6, Performance and modified Sharpe & DeMichele). The lower threshold temperature of egg and total nymphal stage was $10.2^{\circ}C$ and $12.3^{\circ}C$ respectively. The thermal constant required to complete egg and nymphal stage were 122.0 and 156.3 DD, respectively. The Briere 1 model was best fitted ($r^2$= 0.88~0.99) for all developmental stages, among seven nonlinear models. The distribution of completion of each development stage was well described by three non-linear models (2-parameter, 3-parameter Weibull and Logistic) ($r^2$= 0.91~0.96) except second and fifth instar.

• 방재와보험
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• s.98
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• pp.59-63
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• 2003

이 연구보고서는 2003년 2월에 홍콩에서 열린 Fire Asia Intermational 2003 세미나 중의 일부로서 영국의 랭커셔대학의 플레튼교수가 발표한 것을 요약 소개하는 것으로, 가열조건하에 있는 콘크리트 구조부재 횡단면의 온도분포이력을 예측하기 위한 비선형유한요소모델(FEM)에 대한 것이다. 콘크리트에 있어서 온도 특성은 온도와 수분에 모두 민감한 것으로 가정하였으며 기존의 몇 가지 시험들이 개발된 모델과 비교되었다. 또한 실험값은 기존의 실험 결과와 비교 확인하였다. 이 연구보고서는 화재에 노출된 스틸보강이나 다른 강구조물 및 부재를 콘크리트가 보호한다는 점으 기본 가정으로 하고 있다.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.34 no.3
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• pp.859-871
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• 2014

In order to analyze the density current due to salt and temperature difference, this study develops new numerical model (LES-WASS-3D ver. 2.0) by introducing state equation for salt and temperature and 3D advection-diffusion equation to existing 3D numerical wave tank (LES-WASS-3D ver. 1.0). To verify the applicability, the newly-developed numerical model is analyzed comparing to the experimental result of existing numerical model. In the result, it well implement the behavior and vertical salt concentration of advected and diffused seawater as well as flow velocity and temperature of the discharged warm water. This confirms the validity and effectiveness of the developed numerical model.

• Korean Journal of Food Science and Technology
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• v.42 no.3
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• pp.373-376
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• 2010

The objective of this study was to present the proper probability distribution model based on the data obtained from surveys on domestic refrigerator food storage temperatures in home. Domestic refrigerator temperatures were determined as risk factors in foodborne disease outbreaks for microbial risk assessment (MRA). The temperature was measured by directly visiting 139 homes using a data logger from May to September of 2009. The overall mean temperature for all the refrigerators in the survey was $3.53{\pm}2.96^{\circ}C$, with 23.6% of the refrigerators measuring above $5^{\circ}C$. Probability distributions were also created using @RISK program based on the measured temperature data. Statistical ranking was determined by the goodness of fit (GOF, i.e., the Kolmogorov-Smirnov (KS) or Anderson-Darling (AD) test) to determine the proper probability distribution model. This result showed that the LogLogistic (-10.407, 13.616, 8.6107) distribution was found to be the most appropriate for the MRA model. The results of this study might be directly used as input variables in exposure evaluation for conducting MRA.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.32 no.6D
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• pp.599-605
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• 2012

It is important to decide traffic opening time for construction plan of epoxy asphalt pavement. For this purpose, strength prediction model of epoxy asphalt concrete is required. In this study, Marshall stability was measured according to temperature and time for making strength properties equation. Strength prediction model was developed using chemical kinetics considering temperature variation. The traffic opening time of epoxy asphalt pavement on bridge deck has been predicted using the developed model. The prediction and actual traffic opening times were different by 17-days, because weathers of year 2009-2011 used in prediction model were different from weather of year 2012. When the prediction model used the actually measured temperatures of pavement, the difference between real opening time and prediction opening time was two days. The correlation analysis result between measured strength and prediction strength revealed that the $R^2$ using accurate temperature of pavement was 0.95. An improved precise prediction result is to be obtained if the prediction model uses accurate temperature data of pavement.